SlideShare uma empresa Scribd logo
1 de 25
Baixar para ler offline
Asset Information Management
for Asset-Rich Organizations
Frank Hewett, MDM Managing Consultant,
Capgemini UK Plc
Informatica World - May 14, 2014
In collaboration with
2
BIM
Copyright © 2014 Capgemini. All rights reserved.
Asset Information Management | May 2014In collaboration with
TABLE OF CONTENTS
Business Challenges facing
Asset Intensive Organizations
!  Capgemini’s Asset Information Framework
!  Building an Asset MDM solution
!  Our experiences of Asset MDM
!  Partnering with Informatica
!  Contact
3
Asset Information Management for Asset-Rich Organizations
Copyright © 2013 Capgemini. All rights reserved.
Frank Hewett
The Challenge for Asset Intensive Organisations
This talk provides real world examples of how Asset Master Data
Management lies at the heart of providing a ‘joined-up’ view of asset
data across the lifecycle to enable these goals to be achieved.
“The ability to make improved decisions on asset maintenance
using trusted asset data across the entire asset management
lifecycle is often a goal within asset intensive organizations.”
“This is key enabler for improving customer experience,
reducing operating costs and improving efficiencies.”
4
Asset Information Management for Asset-Rich Organizations
Copyright © 2013 Capgemini. All rights reserved.
Frank Hewett
Who are these organisations?
!  Rail
!  Airports
!  Roads
!  Bus & Public Transport
Travel & Transport
!  Ports
!  Shipping
!  Cargo
Marine
!  Exploration
!  Transportation
Oil & Gas
!  Water
!  Electricity
!  Gas
Utilities
5
Asset Information Management for Asset-Rich Organizations
Copyright © 2013 Capgemini. All rights reserved.
Frank Hewett
At a major UK Rail Organisation
In the case of a Major UK
Rail Organisation
The timetable is their PROMISE…
When they PROMISE a train can run, it
will run… safely, punctually and reliably.
The management of this organisation is
a balancing act between the operational
railway and the maintenance of the
asset base.
6
Asset Information Management for Asset-Rich Organizations
Copyright © 2013 Capgemini. All rights reserved.
Frank Hewett
A International UK Airport Organisation
In the case of a Major UK Airport
Company
The flight schedule is their PROMISE…
When they PROMISE a plane can fly, it
will fly… safely, punctually and
reliably.
The management of ‘Critical’ assets
are key to the operational resilience of
the airport
7
BIM
Copyright © 2014 Capgemini. All rights reserved.
Asset Information Management | May 2014In collaboration with
TABLE OF CONTENTS
!  Business Challenges facing Asset Intensive
Organizations
Capgemini’s Asset Information
Framework
!  Building an Asset MDM solution
!  Our experiences of Asset MDM
!  Partnering with Informatica
!  Contact
8
Asset Information Management for Asset-Rich Organizations
Copyright © 2013 Capgemini. All rights reserved.
Frank Hewett
The Answer: The Capgemini Asset Information Framework
Asset
Information
Framework
9
Asset Information Management for Asset-Rich Organizations
Copyright © 2013 Capgemini. All rights reserved.
Frank Hewett
Asset Information Model
The mapping of an Asset Information Specification to the
Asset Management Application Systems
The Management of Asset data across the Asset Management Lifecycle –
Meta, Master, Sharing & DQ
Asset Information Specifications based on Asset Policy to define what data is
important for an Asset through its lifecycle
The PASS 55 is an IAM guide to the way in which Assets are managed. An
Asset data policy that defines what data is important
10
Asset Information Management for Asset-Rich Organizations
Copyright © 2013 Capgemini. All rights reserved.
Frank Hewett
What does ‘Good Data’ look like?
•  In asset rich organisations it is important
to have a clear definition of what each
asset should look like
•  This is the metadata definition of each
asset
!  Defines the attributes that make up the asset type
!  Defines each attribute in terms ownership, lifecycle,
lineage, format, document references, quality
metrics
!  Defines the hierarchy structures the asset belongs
to e.g. location, function etc.
!  Defines the business rules that apply to the
attributes
•  Assets are compared to their metadata
specification to determine their
completeness and accuracy
•  These specifications form the backbone
of defining the quality of asset data in the
enterprise
•  Maintaining the specifications is a Data
Stewardship function in it’s own right
•  Defining the specifications must be done
before mastering physical data as this
provides the blue print of what to master
11
Asset Information Management for Asset-Rich Organizations
Copyright © 2013 Capgemini. All rights reserved.
Frank Hewett
Building Trust in Asset Data for Exploitation
Communicating with the Industry information, insight and
analysis
Collecting all types of Asset data from all applications
within the Asset Management Lifecycle through the use &
maintenance of the Asset
12
Asset Information Management for Asset-Rich Organizations
Copyright © 2013 Capgemini. All rights reserved.
Frank Hewett
Asset Data within Asset Management Applications
Asset intensive organisations can have asset data in many Asset
Management Applications, Systems and Filing Cabinets across the
Asset Lifecycle.
13
Asset Information Management for Asset-Rich Organizations
Copyright © 2013 Capgemini. All rights reserved.
Frank Hewett
Challenge of Different Types of Asset Data
Asset
Transactions
Condition Data Location Data
! Volume
! Structured
! Throughput
! Velocity
! Semi-structured
! Ingestion
! Variety
! Highly unstructured
! Models
Enterprise
Content
! Variety
! Highly unstructured
! Volume
14
BIM
Copyright © 2014 Capgemini. All rights reserved.
Asset Information Management | May 2014In collaboration with
TABLE OF CONTENTS
!  Business Challenges facing Asset Intensive
Organizations
!  Capgemini’s Asset Information Framework
Building an Asset MDM
solution
!  Our experiences of Asset MDM
!  Partnering with Informatica
!  Contact
15
Asset Information Management for Asset-Rich Organizations
Copyright © 2013 Capgemini. All rights reserved.
Frank Hewett
New Vision Required - decide on the approach…
Option 1: Consolidate all asset data into
an Operational Asset Management
System
–  Option 1 Pros
1.  If there is one dominant Asset Management
System then this is worth considering
–  Option 1 Cons
1.  If there is no dominant Asset Management
then this becomes high risk
!  Data must be migrated to the chosen system
!  The old systems must be decommissioned
!  The Business is at risk of suffering operational
issues
!  The chosen system supports two functions
(Operational and Hub)
Option 2: Create a new Asset
Information Hub
–  Option 2 Pros
1.  Operational systems continue untouched
2.  A dedicated governance model is
established around the new Hub
3.  The Hub is a neutral consolidation point
–  Option 2 Cons
1.  Requires a new organizational structure
2.  Investing in a foundation technology that
enables downstream functions
3.  The implementation must be carefully
planned so incremental gains can be
realized quickly
4.  The concept of an enterprise Asset
Information Hub needs support from across
the organization
16
Asset Information Management for Asset-Rich Organizations
Copyright © 2013 Capgemini. All rights reserved.
Frank Hewett
Asset Data Store
Staging Area
Asset Information Hub – Logical Reference Architecture
Industry
Users
Contractors
Regulators
Find Documents/
Specifications
Find Data/
Produce Reports
Locations
Renewals/
Predictive
Maintenance
KPI’s/
Target Measures
Portal Agile BI GIS Analytics Dashboards
Exploitation
Reference Data Transaction Data
DataManagement
Staging Area
DataCollection
Asset Transactional Systems Operational Systems
Telemetry/Real Time
Monitoring External Systems
Source1
Source2
Source3
Source1
Source2
Source3
Source1
Source2
Source3
Source1
Source2
Source3
Cloud
17
Asset Information Management for Asset-Rich Organizations
Copyright © 2013 Capgemini. All rights reserved.
Frank Hewett
Regulator
Contractors
Physical Data Marts Virtual Data Marts Geospatial
Asset Information Hub – Informatica Product OptionsAssetDataStore
PowerCentre + Data Quality (Batch/Change/Real Time)
Cloud
PowerCentre + Data Quality (Batch/Change/Real Time)
PowerCenter+Data Quality (Batch/Change/RealTime)
PowerCenter+Data Quality (Batch/Change/RealTime)
Data Management
•Master Data
•Meta Data
Analysis & ReportingMobile
MEAP
DecisionSupport
Virtualized Data
MDM Hub GeospatialPhysical Data Marts Virtual Data Marts
BIM
CAD
New and Existing NewExisting
Existing
Asset Transactional systems Telemetry Systems Network Operations systems
lipse Geogis Others CDMS Int. Infra Netraff Others
Rail Industry
External
Spatial User Interface
Informatica
Cloud
Industry users
•TOCs  FOCs
•OOR
•Europe
•Contractors
PowerCenter+Data Quality (Batch/Change/RealTime)
Data Management
•Master Data
•Meta Data
Analysis & ReportingMobile
MEAP
DecisionSupport
Virtualized Data
Physical Data Marts
Spatial User Interface
Informatica
Cloud
Industry users
•TOCs  FOCs
•OOR
•Europe
•Contractors
Virtualized Data
AssetDataStore
PowerCenter+Data Quality (Batch/Change/RealTime)
PowerCenter+Data Quality (Batch/Change/RealTime)
Data Management
•Master Data
•Meta Data
Analysis & ReportingMobile
MEAP
DecisionSupport
Virtualized Data
MDM Hub GeospatialPhysical Data Marts Virtual Data Marts
BIM
CAD
New and Existing NewExisting
Existing
Asset Transactional systems Telemetry Systems Network Operations systems
Ellipse Geogis Others CDMS Int. Infra Netraff Others
Rail Industry
External
Spatial User Interface
Informatica
Cloud
Industry users
•TOCs  FOCs
•OOR
•Europe
•Contractors
MDM Hub
alTime)
pport
Geospatial
Spatial User Interface
Informatica
Cloud
Industry users
•TOCs  FOCs
•OOR
•Europe
•Contractors
BIM
CAD
AssetDataStore
PowerCenter+Data Quality (Batch/Change/RealTime)
PowerCenter+Data Quality (Batch/Change/RealTime)
Data Management
•Master Data
•Meta Data
Analysis & ReportingMobile
MEAP
DecisionSupport
Virtualized Data
MDM Hub GeospatialPhysical Data Marts Virtual Data Marts
BIM
CAD
New and Existing NewExisting
Existing
Asset Transactional systems Telemetry Systems Network Operations systems
Ellipse Geogis Others CDMS Int. Infra Netraff Others
Rail Industry
External
Spatial User Interface
Informatica
Cloud
Industry users
•TOCs  FOCs
•OOR
•Europe
•Contractors
Asset Transactional Systems Telemetry Systems Operations systems External Systems
Data Management:
Master Data & Meta Data
Mobile
MEAP
Analysis & Reporting Decision Support Spatial User
Interface
AssetDataStore
PowerCenter+Data Quality (Batch/Change/RealTime)
PowerCenter+Data Quality (Batch/Change/RealTime)
Data Management
•Master Data
•Meta Data
Analysis & ReportingMobile
MEAP
DecisionSupport
Virtualized Data
MDM Hub GeospatialPhysical Data Marts Virtual Data Marts
BIM
CAD
New and Existing NewExisting
Existing
Asset Transactional systems Telemetry Systems Network Operations systems
Ellipse Geogis Others CDMS Int. Infra Netraff Others
Rail Industry
External
Spatial User Interface
Informatica
Cloud
Industry users
•TOCs  FOCs
•OOR
•Europe
•Contractors
18
Asset Information Management for Asset-Rich Organizations
Copyright © 2013 Capgemini. All rights reserved.
Frank Hewett
What Makes Mastering Asset Data Different
o  Reliance on Specification to establish a metadata standard
o  Some assets are linear (e.g. tracks and runways cover long distances) and have other assets embedded in
them
o  There are many types of assets - in the case of rail tracks there are more than 25, in the customer domain
there are usually only two types of customer
o  This increases the number of rules in terms of:
!  Standardisation Rules
!  Match rules
!  Merge rules
!  ETL mappings
o  Assets are subject to a long lifecycle which results in more data being collected than entities like customer
o  To cope with this depth of data it is helpful to break the information into layers such as:
!  Location (where is it)
!  Definition (what is it)
!  Condition
!  Usage
!  Capability
!  Cost
!  Performance
!  Work
19
BIM
Copyright © 2014 Capgemini. All rights reserved.
Asset Information Management | May 2014In collaboration with
TABLE OF CONTENTS
!  Business Challenges facing Asset Intensive
Organizations
!  Capgemini’s Asset Information Framework
!  Building an Asset MDM solution
Our experiences of Asset MDM
!  Partnering with Informatica
!  Contact
20
Asset Information Management for Asset-Rich Organizations
Copyright © 2013 Capgemini. All rights reserved.
Frank Hewett
Our Experience
A Major UK Rail Organisation
!  The Informatica MDM solution has
been implemented for the most
important assets
!  The Asset Information
Specification have been created
for these Assets
!  The solution supplies joined up
asset data to the Asset Data Store
A Major UK Airport Organisation
!  The Asset Information Framework
was used to define which data is
important for critical assets.
!  The Asset Information
Specification has been created for
the 5 top Asset Classes.
!  Next step is to implement an MDM
and Asset data Store solution
Predictive maintenance
was estimated would save
£50m pa on 22,000
miles of track assets
In an Airport Management
Company finding drilling
samples and Specifications
would save >£3m pa in
rework
21
BIM
Copyright © 2014 Capgemini. All rights reserved.
Asset Information Management | May 2014In collaboration with
TABLE OF CONTENTS
!  Business Challenges facing Asset Intensive
Organizations
!  Capgemini’s Asset Information Framework
!  Building an Asset MDM solution
!  Our experiences of Asset MDM
Partnering with Informatica
!  Contact
22
BIM
Copyright © 2014 Capgemini. All rights reserved.
Asset Information Management | May 2014In collaboration with
Capgemini and Informatica have a longstanding
partnership
Capgemini has a premium Partnership with Informatica. Together Capgemini and Informatica
deliver compelling and robust solutions to our clients.
!  Capgemini is named Informatica Global Partner
!  Our partnership ensures we are well-linked to Informatica organization at all levels to provide the best service for our
clients
!  1,000+ Informatica-trained resources worldwide – across Informatica PowerCenter, Informatica Data Quality,
Informatica MDM and other Informatica tools
!  Dedicated Informatica Centre of Excellence (CoE) for project and market consultation, competency building as well as
reporting and monitoring. We apply our core domain and business analysis expertise to create optimized Informatica
objects and striking a balance between performance and cost.
!  Access to Informatica software for training,
demonstration, and integration purposes
!  Access to online technical support and knowledge
base
!  Access to Informatica software upgrades and patches
!  Tele-support access
!  Discounts on product training/certification
!  Access to product/solution professional certification.
! B2B Data
Transformation
! BigData
! Cloud
! CEP
! Data Quality
! Data Explorer
! Data Privacy
Product
portfolio
Benefits
! PIM
! ILM
! Informatica
MDM
! PowerCenter
! PowerExchange
23
BIM
Copyright © 2014 Capgemini. All rights reserved.
Asset Information Management | May 2014In collaboration with
TABLE OF CONTENTS
!  Business Challenges facing Asset Intensive
Organizations
!  Capgemini’s Asset Information Framework
!  Building an Asset MDM solution
!  Our experiences of Asset MDM
!  Partnering with Informatica
! Contact
24
Asset Information Management for Asset-Rich Organizations
Copyright © 2013 Capgemini. All rights reserved.
Frank Hewett
Contact us
Frank Hewettt
MDM Managing Consultant h
frank.hewett@capgemini.com
Srikant Kanthadai
Global Head of Data Management
srikant.kanthadai@capgemini.com
Malay Baral
Head of Data Management CoE
malay.baral@capgemini.com
The information contained in this presentation is proprietary.
© 2013 Capgemini. All rights reserved.
Rightshore® is a trademark belonging to Capgemini.
www.capgemini.com
About Capgemini
With more than 120,000 people in 40 countries, Capgemini
is one of the world's foremost providers of consulting,
technology and outsourcing services. The Group reported
2011 global revenues of EUR 9.7 billion.
Together with its clients, Capgemini creates and delivers
business and technology solutions that fit their needs and
drive the results they want. A deeply multicultural
organization, Capgemini has developed its own way of
working, the Collaborative Business Experience™, and
draws on Rightshore®, its worldwide delivery model.

Mais conteúdo relacionado

Mais procurados

A Reference Architecture for Digitalization in the Pharmaceutical Industry
A Reference Architecture for Digitalization in the Pharmaceutical IndustryA Reference Architecture for Digitalization in the Pharmaceutical Industry
A Reference Architecture for Digitalization in the Pharmaceutical IndustryCapgemini
 
Decode Digitalization for Your Discrete Manufacturing Company
Decode Digitalization for Your Discrete Manufacturing CompanyDecode Digitalization for Your Discrete Manufacturing Company
Decode Digitalization for Your Discrete Manufacturing CompanyCapgemini
 
CWIN17 san francisco-kiran murthy-cloud native - sf v4
CWIN17 san francisco-kiran murthy-cloud native - sf v4CWIN17 san francisco-kiran murthy-cloud native - sf v4
CWIN17 san francisco-kiran murthy-cloud native - sf v4Capgemini
 
Landscape of enterprise applications
Landscape of enterprise applicationsLandscape of enterprise applications
Landscape of enterprise applicationsGeoff Sharman
 
Lufthansa Reference Architecture for the OpenGroup
Lufthansa Reference Architecture for the OpenGroupLufthansa Reference Architecture for the OpenGroup
Lufthansa Reference Architecture for the OpenGroupCapgemini
 
Digital Data Center
Digital Data CenterDigital Data Center
Digital Data CenterAtos
 
Technology Transformation Maturity Model
Technology Transformation Maturity ModelTechnology Transformation Maturity Model
Technology Transformation Maturity ModelEliot Arnold
 
Digital transformation and the role of cloud computing Capgemini Mark Skilt...
Digital transformation and the role of cloud computing   Capgemini Mark Skilt...Digital transformation and the role of cloud computing   Capgemini Mark Skilt...
Digital transformation and the role of cloud computing Capgemini Mark Skilt...Mark Skilton
 
How to develop a multi cloud strategy to accelerate digital transformation - ...
How to develop a multi cloud strategy to accelerate digital transformation - ...How to develop a multi cloud strategy to accelerate digital transformation - ...
How to develop a multi cloud strategy to accelerate digital transformation - ...Senaka Ariyasinghe
 
Tableau reseller partner in Saudi Arabia Bilytica Best business Intelligence ...
Tableau reseller partner in Saudi Arabia Bilytica Best business Intelligence ...Tableau reseller partner in Saudi Arabia Bilytica Best business Intelligence ...
Tableau reseller partner in Saudi Arabia Bilytica Best business Intelligence ...Carie John
 

Mais procurados (12)

A Reference Architecture for Digitalization in the Pharmaceutical Industry
A Reference Architecture for Digitalization in the Pharmaceutical IndustryA Reference Architecture for Digitalization in the Pharmaceutical Industry
A Reference Architecture for Digitalization in the Pharmaceutical Industry
 
Decode Digitalization for Your Discrete Manufacturing Company
Decode Digitalization for Your Discrete Manufacturing CompanyDecode Digitalization for Your Discrete Manufacturing Company
Decode Digitalization for Your Discrete Manufacturing Company
 
CWIN17 san francisco-kiran murthy-cloud native - sf v4
CWIN17 san francisco-kiran murthy-cloud native - sf v4CWIN17 san francisco-kiran murthy-cloud native - sf v4
CWIN17 san francisco-kiran murthy-cloud native - sf v4
 
Landscape of enterprise applications
Landscape of enterprise applicationsLandscape of enterprise applications
Landscape of enterprise applications
 
Lufthansa Reference Architecture for the OpenGroup
Lufthansa Reference Architecture for the OpenGroupLufthansa Reference Architecture for the OpenGroup
Lufthansa Reference Architecture for the OpenGroup
 
Sap an enterprise application
Sap  an enterprise applicationSap  an enterprise application
Sap an enterprise application
 
The New Style of Business
The New Style of Business The New Style of Business
The New Style of Business
 
Digital Data Center
Digital Data CenterDigital Data Center
Digital Data Center
 
Technology Transformation Maturity Model
Technology Transformation Maturity ModelTechnology Transformation Maturity Model
Technology Transformation Maturity Model
 
Digital transformation and the role of cloud computing Capgemini Mark Skilt...
Digital transformation and the role of cloud computing   Capgemini Mark Skilt...Digital transformation and the role of cloud computing   Capgemini Mark Skilt...
Digital transformation and the role of cloud computing Capgemini Mark Skilt...
 
How to develop a multi cloud strategy to accelerate digital transformation - ...
How to develop a multi cloud strategy to accelerate digital transformation - ...How to develop a multi cloud strategy to accelerate digital transformation - ...
How to develop a multi cloud strategy to accelerate digital transformation - ...
 
Tableau reseller partner in Saudi Arabia Bilytica Best business Intelligence ...
Tableau reseller partner in Saudi Arabia Bilytica Best business Intelligence ...Tableau reseller partner in Saudi Arabia Bilytica Best business Intelligence ...
Tableau reseller partner in Saudi Arabia Bilytica Best business Intelligence ...
 

Destaque

Role of science communication for grass root level capacity building in eco-h...
Role of science communication for grass root level capacity building in eco-h...Role of science communication for grass root level capacity building in eco-h...
Role of science communication for grass root level capacity building in eco-h...Pradip Sengupta
 
Role of science, data and systems models - Stephen Passmore - Finance for #SD...
Role of science, data and systems models - Stephen Passmore - Finance for #SD...Role of science, data and systems models - Stephen Passmore - Finance for #SD...
Role of science, data and systems models - Stephen Passmore - Finance for #SD...Ecological Sequestration Trust
 
The Impact of Data Science on Finance
The Impact of Data Science on FinanceThe Impact of Data Science on Finance
The Impact of Data Science on FinanceRoger Fried
 
Alex Preda (UCL), Finance as a boundary science. What can social scientists b...
Alex Preda (UCL), Finance as a boundary science. What can social scientists b...Alex Preda (UCL), Finance as a boundary science. What can social scientists b...
Alex Preda (UCL), Finance as a boundary science. What can social scientists b...Logic & Knowledge
 
RIMS Update - Bridge Data Guidelines for Asset Management of Road Bridges
RIMS Update - Bridge Data Guidelines for Asset Management of Road BridgesRIMS Update - Bridge Data Guidelines for Asset Management of Road Bridges
RIMS Update - Bridge Data Guidelines for Asset Management of Road BridgesSimon Gough
 
Data Science Application in Business Portfolio & Risk Management
Data Science Application in Business Portfolio & Risk ManagementData Science Application in Business Portfolio & Risk Management
Data Science Application in Business Portfolio & Risk ManagementData Science Thailand
 
Data Science: Driving Smarter Finance and Workforce Decsions for the Enterprise
Data Science: Driving Smarter Finance and Workforce Decsions for the EnterpriseData Science: Driving Smarter Finance and Workforce Decsions for the Enterprise
Data Science: Driving Smarter Finance and Workforce Decsions for the EnterpriseDataWorks Summit
 
Strategic Asset Management: Knowing Where to Spend
Strategic Asset Management: Knowing Where to SpendStrategic Asset Management: Knowing Where to Spend
Strategic Asset Management: Knowing Where to SpendOHM Advisors
 

Destaque (9)

Role of science communication for grass root level capacity building in eco-h...
Role of science communication for grass root level capacity building in eco-h...Role of science communication for grass root level capacity building in eco-h...
Role of science communication for grass root level capacity building in eco-h...
 
Role of science, data and systems models - Stephen Passmore - Finance for #SD...
Role of science, data and systems models - Stephen Passmore - Finance for #SD...Role of science, data and systems models - Stephen Passmore - Finance for #SD...
Role of science, data and systems models - Stephen Passmore - Finance for #SD...
 
The Impact of Data Science on Finance
The Impact of Data Science on FinanceThe Impact of Data Science on Finance
The Impact of Data Science on Finance
 
Alex Preda (UCL), Finance as a boundary science. What can social scientists b...
Alex Preda (UCL), Finance as a boundary science. What can social scientists b...Alex Preda (UCL), Finance as a boundary science. What can social scientists b...
Alex Preda (UCL), Finance as a boundary science. What can social scientists b...
 
RIMS Update - Bridge Data Guidelines for Asset Management of Road Bridges
RIMS Update - Bridge Data Guidelines for Asset Management of Road BridgesRIMS Update - Bridge Data Guidelines for Asset Management of Road Bridges
RIMS Update - Bridge Data Guidelines for Asset Management of Road Bridges
 
Data Science Application in Business Portfolio & Risk Management
Data Science Application in Business Portfolio & Risk ManagementData Science Application in Business Portfolio & Risk Management
Data Science Application in Business Portfolio & Risk Management
 
Data Science: Driving Smarter Finance and Workforce Decsions for the Enterprise
Data Science: Driving Smarter Finance and Workforce Decsions for the EnterpriseData Science: Driving Smarter Finance and Workforce Decsions for the Enterprise
Data Science: Driving Smarter Finance and Workforce Decsions for the Enterprise
 
Strategic Asset Management: Knowing Where to Spend
Strategic Asset Management: Knowing Where to SpendStrategic Asset Management: Knowing Where to Spend
Strategic Asset Management: Knowing Where to Spend
 
Deeplearning in finance
Deeplearning in financeDeeplearning in finance
Deeplearning in finance
 

Semelhante a Asset Hub - Asset Data Management in Infrastructure-Rich Organizations

How Digital Asset Management is putting firms on the front foot.pdf
How Digital Asset Management is putting firms on the front foot.pdfHow Digital Asset Management is putting firms on the front foot.pdf
How Digital Asset Management is putting firms on the front foot.pdfBenevolence Technologies
 
Herding Cats in the Digital World
Herding Cats in the Digital WorldHerding Cats in the Digital World
Herding Cats in the Digital WorldCapgemini
 
From information to intelligence
From information to intelligence From information to intelligence
From information to intelligence Srini Koushik
 
Why Big Data Analytics Needs Business Intelligence Too
Why Big Data Analytics Needs Business Intelligence Too Why Big Data Analytics Needs Business Intelligence Too
Why Big Data Analytics Needs Business Intelligence Too Barry Devlin
 
Enterprise asset management industry whitepaper extract | "Asset intelligence...
Enterprise asset management industry whitepaper extract | "Asset intelligence...Enterprise asset management industry whitepaper extract | "Asset intelligence...
Enterprise asset management industry whitepaper extract | "Asset intelligence...Relegen Pty Ltd
 
Disadvantages Of Minitrex Data Management
Disadvantages Of Minitrex Data ManagementDisadvantages Of Minitrex Data Management
Disadvantages Of Minitrex Data ManagementSharon Roberts
 
eSelf Knowledge Management Mulgrew
eSelf Knowledge Management MulgreweSelf Knowledge Management Mulgrew
eSelf Knowledge Management Mulgrewramesh_manian
 
How Mobile BI can Impact Your Organization
How Mobile BI can Impact Your OrganizationHow Mobile BI can Impact Your Organization
How Mobile BI can Impact Your OrganizationEmtec Inc.
 
Top 10 guidelines for deploying modern data architecture for the data driven ...
Top 10 guidelines for deploying modern data architecture for the data driven ...Top 10 guidelines for deploying modern data architecture for the data driven ...
Top 10 guidelines for deploying modern data architecture for the data driven ...LindaWatson19
 
Data Virtualization – Gateway to a Digital Business - Barry Devlin
Data Virtualization – Gateway to a Digital Business - Barry DevlinData Virtualization – Gateway to a Digital Business - Barry Devlin
Data Virtualization – Gateway to a Digital Business - Barry DevlinDenodo
 
Veritas-Information-Governance-Solution-Brochure-EN
Veritas-Information-Governance-Solution-Brochure-ENVeritas-Information-Governance-Solution-Brochure-EN
Veritas-Information-Governance-Solution-Brochure-ENRichard Williams
 
Supporting Data Services Marketplace using Data Virtualization
Supporting Data Services Marketplace using Data VirtualizationSupporting Data Services Marketplace using Data Virtualization
Supporting Data Services Marketplace using Data VirtualizationDenodo
 
Business Redefined – Managing Information Explosion, Data Quality and Compliance
Business Redefined – Managing Information Explosion, Data Quality and ComplianceBusiness Redefined – Managing Information Explosion, Data Quality and Compliance
Business Redefined – Managing Information Explosion, Data Quality and ComplianceCapgemini
 
From Customer Insights to Action
From Customer Insights to ActionFrom Customer Insights to Action
From Customer Insights to ActionCapgemini
 
Veritas corporate brochure emea
Veritas corporate brochure emeaVeritas corporate brochure emea
Veritas corporate brochure emeaHayatollah Ayoubi
 
Service Transition
Service TransitionService Transition
Service TransitionPeleg
 
Inventory and Discovery: How to Take Charge of “What’s Out There”
Inventory and Discovery: How to Take Charge of “What’s Out There” Inventory and Discovery: How to Take Charge of “What’s Out There”
Inventory and Discovery: How to Take Charge of “What’s Out There” Enterprise Management Associates
 
Composable data for the composable enterprise
Composable data for the composable enterpriseComposable data for the composable enterprise
Composable data for the composable enterpriseMatt McLarty
 

Semelhante a Asset Hub - Asset Data Management in Infrastructure-Rich Organizations (20)

How Digital Asset Management is putting firms on the front foot.pdf
How Digital Asset Management is putting firms on the front foot.pdfHow Digital Asset Management is putting firms on the front foot.pdf
How Digital Asset Management is putting firms on the front foot.pdf
 
Herding Cats in the Digital World
Herding Cats in the Digital WorldHerding Cats in the Digital World
Herding Cats in the Digital World
 
From information to intelligence
From information to intelligence From information to intelligence
From information to intelligence
 
Why Big Data Analytics Needs Business Intelligence Too
Why Big Data Analytics Needs Business Intelligence Too Why Big Data Analytics Needs Business Intelligence Too
Why Big Data Analytics Needs Business Intelligence Too
 
Enterprise asset management industry whitepaper extract | "Asset intelligence...
Enterprise asset management industry whitepaper extract | "Asset intelligence...Enterprise asset management industry whitepaper extract | "Asset intelligence...
Enterprise asset management industry whitepaper extract | "Asset intelligence...
 
Disadvantages Of Minitrex Data Management
Disadvantages Of Minitrex Data ManagementDisadvantages Of Minitrex Data Management
Disadvantages Of Minitrex Data Management
 
eSelf Knowledge Management Mulgrew
eSelf Knowledge Management MulgreweSelf Knowledge Management Mulgrew
eSelf Knowledge Management Mulgrew
 
How Mobile BI can Impact Your Organization
How Mobile BI can Impact Your OrganizationHow Mobile BI can Impact Your Organization
How Mobile BI can Impact Your Organization
 
Top 10 guidelines for deploying modern data architecture for the data driven ...
Top 10 guidelines for deploying modern data architecture for the data driven ...Top 10 guidelines for deploying modern data architecture for the data driven ...
Top 10 guidelines for deploying modern data architecture for the data driven ...
 
Sgcp14dunlea
Sgcp14dunleaSgcp14dunlea
Sgcp14dunlea
 
Data Virtualization – Gateway to a Digital Business - Barry Devlin
Data Virtualization – Gateway to a Digital Business - Barry DevlinData Virtualization – Gateway to a Digital Business - Barry Devlin
Data Virtualization – Gateway to a Digital Business - Barry Devlin
 
Veritas-Information-Governance-Solution-Brochure-EN
Veritas-Information-Governance-Solution-Brochure-ENVeritas-Information-Governance-Solution-Brochure-EN
Veritas-Information-Governance-Solution-Brochure-EN
 
Supporting Data Services Marketplace using Data Virtualization
Supporting Data Services Marketplace using Data VirtualizationSupporting Data Services Marketplace using Data Virtualization
Supporting Data Services Marketplace using Data Virtualization
 
Business Redefined – Managing Information Explosion, Data Quality and Compliance
Business Redefined – Managing Information Explosion, Data Quality and ComplianceBusiness Redefined – Managing Information Explosion, Data Quality and Compliance
Business Redefined – Managing Information Explosion, Data Quality and Compliance
 
From Customer Insights to Action
From Customer Insights to ActionFrom Customer Insights to Action
From Customer Insights to Action
 
Veritas corporate brochure emea
Veritas corporate brochure emeaVeritas corporate brochure emea
Veritas corporate brochure emea
 
Service Transition
Service TransitionService Transition
Service Transition
 
Aaum - geniSIGHTS presentation
Aaum - geniSIGHTS presentationAaum - geniSIGHTS presentation
Aaum - geniSIGHTS presentation
 
Inventory and Discovery: How to Take Charge of “What’s Out There”
Inventory and Discovery: How to Take Charge of “What’s Out There” Inventory and Discovery: How to Take Charge of “What’s Out There”
Inventory and Discovery: How to Take Charge of “What’s Out There”
 
Composable data for the composable enterprise
Composable data for the composable enterpriseComposable data for the composable enterprise
Composable data for the composable enterprise
 

Mais de Capgemini

Top Healthcare Trends 2022
Top Healthcare Trends 2022Top Healthcare Trends 2022
Top Healthcare Trends 2022Capgemini
 
Top P&C Insurance Trends 2022
Top P&C Insurance Trends 2022Top P&C Insurance Trends 2022
Top P&C Insurance Trends 2022Capgemini
 
Commercial Banking Trends book 2022
Commercial Banking Trends book 2022Commercial Banking Trends book 2022
Commercial Banking Trends book 2022Capgemini
 
Top Trends in Payments 2022
Top Trends in Payments 2022Top Trends in Payments 2022
Top Trends in Payments 2022Capgemini
 
Top Trends in Wealth Management 2022
Top Trends in Wealth Management 2022Top Trends in Wealth Management 2022
Top Trends in Wealth Management 2022Capgemini
 
Retail Banking Trends book 2022
Retail Banking Trends book 2022Retail Banking Trends book 2022
Retail Banking Trends book 2022Capgemini
 
Top Life Insurance Trends 2022
Top Life Insurance Trends 2022Top Life Insurance Trends 2022
Top Life Insurance Trends 2022Capgemini
 
キャップジェミニ、あなたの『RISE WITH SAP』のパートナーです
キャップジェミニ、あなたの『RISE WITH SAP』のパートナーですキャップジェミニ、あなたの『RISE WITH SAP』のパートナーです
キャップジェミニ、あなたの『RISE WITH SAP』のパートナーですCapgemini
 
Property & Casualty Insurance Top Trends 2021
Property & Casualty Insurance Top Trends 2021Property & Casualty Insurance Top Trends 2021
Property & Casualty Insurance Top Trends 2021Capgemini
 
Life Insurance Top Trends 2021
Life Insurance Top Trends 2021Life Insurance Top Trends 2021
Life Insurance Top Trends 2021Capgemini
 
Top Trends in Commercial Banking: 2021
Top Trends in Commercial Banking: 2021Top Trends in Commercial Banking: 2021
Top Trends in Commercial Banking: 2021Capgemini
 
Top Trends in Wealth Management: 2021
Top Trends in Wealth Management: 2021Top Trends in Wealth Management: 2021
Top Trends in Wealth Management: 2021Capgemini
 
Top Trends in Payments: 2021
Top Trends in Payments: 2021Top Trends in Payments: 2021
Top Trends in Payments: 2021Capgemini
 
Health Insurance Top Trends 2021
Health Insurance Top Trends 2021Health Insurance Top Trends 2021
Health Insurance Top Trends 2021Capgemini
 
Top Trends in Retail Banking: 2021
Top Trends in Retail Banking: 2021Top Trends in Retail Banking: 2021
Top Trends in Retail Banking: 2021Capgemini
 
Capgemini’s Connected Autonomous Planning
Capgemini’s Connected Autonomous PlanningCapgemini’s Connected Autonomous Planning
Capgemini’s Connected Autonomous PlanningCapgemini
 
Top Trends in Retail Banking: 2020
Top Trends in Retail Banking: 2020Top Trends in Retail Banking: 2020
Top Trends in Retail Banking: 2020Capgemini
 
Top Trends in Life Insurance: 2020
Top Trends in Life Insurance: 2020Top Trends in Life Insurance: 2020
Top Trends in Life Insurance: 2020Capgemini
 
Top Trends in Health Insurance: 2020
Top Trends in Health Insurance: 2020Top Trends in Health Insurance: 2020
Top Trends in Health Insurance: 2020Capgemini
 
Top Trends in Payments: 2020
Top Trends in Payments: 2020Top Trends in Payments: 2020
Top Trends in Payments: 2020Capgemini
 

Mais de Capgemini (20)

Top Healthcare Trends 2022
Top Healthcare Trends 2022Top Healthcare Trends 2022
Top Healthcare Trends 2022
 
Top P&C Insurance Trends 2022
Top P&C Insurance Trends 2022Top P&C Insurance Trends 2022
Top P&C Insurance Trends 2022
 
Commercial Banking Trends book 2022
Commercial Banking Trends book 2022Commercial Banking Trends book 2022
Commercial Banking Trends book 2022
 
Top Trends in Payments 2022
Top Trends in Payments 2022Top Trends in Payments 2022
Top Trends in Payments 2022
 
Top Trends in Wealth Management 2022
Top Trends in Wealth Management 2022Top Trends in Wealth Management 2022
Top Trends in Wealth Management 2022
 
Retail Banking Trends book 2022
Retail Banking Trends book 2022Retail Banking Trends book 2022
Retail Banking Trends book 2022
 
Top Life Insurance Trends 2022
Top Life Insurance Trends 2022Top Life Insurance Trends 2022
Top Life Insurance Trends 2022
 
キャップジェミニ、あなたの『RISE WITH SAP』のパートナーです
キャップジェミニ、あなたの『RISE WITH SAP』のパートナーですキャップジェミニ、あなたの『RISE WITH SAP』のパートナーです
キャップジェミニ、あなたの『RISE WITH SAP』のパートナーです
 
Property & Casualty Insurance Top Trends 2021
Property & Casualty Insurance Top Trends 2021Property & Casualty Insurance Top Trends 2021
Property & Casualty Insurance Top Trends 2021
 
Life Insurance Top Trends 2021
Life Insurance Top Trends 2021Life Insurance Top Trends 2021
Life Insurance Top Trends 2021
 
Top Trends in Commercial Banking: 2021
Top Trends in Commercial Banking: 2021Top Trends in Commercial Banking: 2021
Top Trends in Commercial Banking: 2021
 
Top Trends in Wealth Management: 2021
Top Trends in Wealth Management: 2021Top Trends in Wealth Management: 2021
Top Trends in Wealth Management: 2021
 
Top Trends in Payments: 2021
Top Trends in Payments: 2021Top Trends in Payments: 2021
Top Trends in Payments: 2021
 
Health Insurance Top Trends 2021
Health Insurance Top Trends 2021Health Insurance Top Trends 2021
Health Insurance Top Trends 2021
 
Top Trends in Retail Banking: 2021
Top Trends in Retail Banking: 2021Top Trends in Retail Banking: 2021
Top Trends in Retail Banking: 2021
 
Capgemini’s Connected Autonomous Planning
Capgemini’s Connected Autonomous PlanningCapgemini’s Connected Autonomous Planning
Capgemini’s Connected Autonomous Planning
 
Top Trends in Retail Banking: 2020
Top Trends in Retail Banking: 2020Top Trends in Retail Banking: 2020
Top Trends in Retail Banking: 2020
 
Top Trends in Life Insurance: 2020
Top Trends in Life Insurance: 2020Top Trends in Life Insurance: 2020
Top Trends in Life Insurance: 2020
 
Top Trends in Health Insurance: 2020
Top Trends in Health Insurance: 2020Top Trends in Health Insurance: 2020
Top Trends in Health Insurance: 2020
 
Top Trends in Payments: 2020
Top Trends in Payments: 2020Top Trends in Payments: 2020
Top Trends in Payments: 2020
 

Último

KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostKubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostMatt Ray
 
Building AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxBuilding AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxUdaiappa Ramachandran
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsSeth Reyes
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Will Schroeder
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarPrecisely
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024D Cloud Solutions
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1DianaGray10
 
UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7DianaGray10
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-pyJamie (Taka) Wang
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Websitedgelyza
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfJamie (Taka) Wang
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Commit University
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
 
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...Aggregage
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxMatsuo Lab
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDELiveplex
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPathCommunity
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopBachir Benyammi
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IES VE
 

Último (20)

20230104 - machine vision
20230104 - machine vision20230104 - machine vision
20230104 - machine vision
 
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostKubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
 
Building AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxBuilding AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptx
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and Hazards
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity Webinar
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1
 
UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-py
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Website
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptx
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation Developers
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 Workshop
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
 

Asset Hub - Asset Data Management in Infrastructure-Rich Organizations

  • 1. Asset Information Management for Asset-Rich Organizations Frank Hewett, MDM Managing Consultant, Capgemini UK Plc Informatica World - May 14, 2014 In collaboration with
  • 2. 2 BIM Copyright © 2014 Capgemini. All rights reserved. Asset Information Management | May 2014In collaboration with TABLE OF CONTENTS Business Challenges facing Asset Intensive Organizations !  Capgemini’s Asset Information Framework !  Building an Asset MDM solution !  Our experiences of Asset MDM !  Partnering with Informatica !  Contact
  • 3. 3 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett The Challenge for Asset Intensive Organisations This talk provides real world examples of how Asset Master Data Management lies at the heart of providing a ‘joined-up’ view of asset data across the lifecycle to enable these goals to be achieved. “The ability to make improved decisions on asset maintenance using trusted asset data across the entire asset management lifecycle is often a goal within asset intensive organizations.” “This is key enabler for improving customer experience, reducing operating costs and improving efficiencies.”
  • 4. 4 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Who are these organisations? !  Rail !  Airports !  Roads !  Bus & Public Transport Travel & Transport !  Ports !  Shipping !  Cargo Marine !  Exploration !  Transportation Oil & Gas !  Water !  Electricity !  Gas Utilities
  • 5. 5 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett At a major UK Rail Organisation In the case of a Major UK Rail Organisation The timetable is their PROMISE… When they PROMISE a train can run, it will run… safely, punctually and reliably. The management of this organisation is a balancing act between the operational railway and the maintenance of the asset base.
  • 6. 6 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett A International UK Airport Organisation In the case of a Major UK Airport Company The flight schedule is their PROMISE… When they PROMISE a plane can fly, it will fly… safely, punctually and reliably. The management of ‘Critical’ assets are key to the operational resilience of the airport
  • 7. 7 BIM Copyright © 2014 Capgemini. All rights reserved. Asset Information Management | May 2014In collaboration with TABLE OF CONTENTS !  Business Challenges facing Asset Intensive Organizations Capgemini’s Asset Information Framework !  Building an Asset MDM solution !  Our experiences of Asset MDM !  Partnering with Informatica !  Contact
  • 8. 8 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett The Answer: The Capgemini Asset Information Framework Asset Information Framework
  • 9. 9 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Asset Information Model The mapping of an Asset Information Specification to the Asset Management Application Systems The Management of Asset data across the Asset Management Lifecycle – Meta, Master, Sharing & DQ Asset Information Specifications based on Asset Policy to define what data is important for an Asset through its lifecycle The PASS 55 is an IAM guide to the way in which Assets are managed. An Asset data policy that defines what data is important
  • 10. 10 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett What does ‘Good Data’ look like? •  In asset rich organisations it is important to have a clear definition of what each asset should look like •  This is the metadata definition of each asset !  Defines the attributes that make up the asset type !  Defines each attribute in terms ownership, lifecycle, lineage, format, document references, quality metrics !  Defines the hierarchy structures the asset belongs to e.g. location, function etc. !  Defines the business rules that apply to the attributes •  Assets are compared to their metadata specification to determine their completeness and accuracy •  These specifications form the backbone of defining the quality of asset data in the enterprise •  Maintaining the specifications is a Data Stewardship function in it’s own right •  Defining the specifications must be done before mastering physical data as this provides the blue print of what to master
  • 11. 11 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Building Trust in Asset Data for Exploitation Communicating with the Industry information, insight and analysis Collecting all types of Asset data from all applications within the Asset Management Lifecycle through the use & maintenance of the Asset
  • 12. 12 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Asset Data within Asset Management Applications Asset intensive organisations can have asset data in many Asset Management Applications, Systems and Filing Cabinets across the Asset Lifecycle.
  • 13. 13 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Challenge of Different Types of Asset Data Asset Transactions Condition Data Location Data ! Volume ! Structured ! Throughput ! Velocity ! Semi-structured ! Ingestion ! Variety ! Highly unstructured ! Models Enterprise Content ! Variety ! Highly unstructured ! Volume
  • 14. 14 BIM Copyright © 2014 Capgemini. All rights reserved. Asset Information Management | May 2014In collaboration with TABLE OF CONTENTS !  Business Challenges facing Asset Intensive Organizations !  Capgemini’s Asset Information Framework Building an Asset MDM solution !  Our experiences of Asset MDM !  Partnering with Informatica !  Contact
  • 15. 15 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett New Vision Required - decide on the approach… Option 1: Consolidate all asset data into an Operational Asset Management System –  Option 1 Pros 1.  If there is one dominant Asset Management System then this is worth considering –  Option 1 Cons 1.  If there is no dominant Asset Management then this becomes high risk !  Data must be migrated to the chosen system !  The old systems must be decommissioned !  The Business is at risk of suffering operational issues !  The chosen system supports two functions (Operational and Hub) Option 2: Create a new Asset Information Hub –  Option 2 Pros 1.  Operational systems continue untouched 2.  A dedicated governance model is established around the new Hub 3.  The Hub is a neutral consolidation point –  Option 2 Cons 1.  Requires a new organizational structure 2.  Investing in a foundation technology that enables downstream functions 3.  The implementation must be carefully planned so incremental gains can be realized quickly 4.  The concept of an enterprise Asset Information Hub needs support from across the organization
  • 16. 16 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Asset Data Store Staging Area Asset Information Hub – Logical Reference Architecture Industry Users Contractors Regulators Find Documents/ Specifications Find Data/ Produce Reports Locations Renewals/ Predictive Maintenance KPI’s/ Target Measures Portal Agile BI GIS Analytics Dashboards Exploitation Reference Data Transaction Data DataManagement Staging Area DataCollection Asset Transactional Systems Operational Systems Telemetry/Real Time Monitoring External Systems Source1 Source2 Source3 Source1 Source2 Source3 Source1 Source2 Source3 Source1 Source2 Source3 Cloud
  • 17. 17 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Regulator Contractors Physical Data Marts Virtual Data Marts Geospatial Asset Information Hub – Informatica Product OptionsAssetDataStore PowerCentre + Data Quality (Batch/Change/Real Time) Cloud PowerCentre + Data Quality (Batch/Change/Real Time) PowerCenter+Data Quality (Batch/Change/RealTime) PowerCenter+Data Quality (Batch/Change/RealTime) Data Management •Master Data •Meta Data Analysis & ReportingMobile MEAP DecisionSupport Virtualized Data MDM Hub GeospatialPhysical Data Marts Virtual Data Marts BIM CAD New and Existing NewExisting Existing Asset Transactional systems Telemetry Systems Network Operations systems lipse Geogis Others CDMS Int. Infra Netraff Others Rail Industry External Spatial User Interface Informatica Cloud Industry users •TOCs FOCs •OOR •Europe •Contractors PowerCenter+Data Quality (Batch/Change/RealTime) Data Management •Master Data •Meta Data Analysis & ReportingMobile MEAP DecisionSupport Virtualized Data Physical Data Marts Spatial User Interface Informatica Cloud Industry users •TOCs FOCs •OOR •Europe •Contractors Virtualized Data AssetDataStore PowerCenter+Data Quality (Batch/Change/RealTime) PowerCenter+Data Quality (Batch/Change/RealTime) Data Management •Master Data •Meta Data Analysis & ReportingMobile MEAP DecisionSupport Virtualized Data MDM Hub GeospatialPhysical Data Marts Virtual Data Marts BIM CAD New and Existing NewExisting Existing Asset Transactional systems Telemetry Systems Network Operations systems Ellipse Geogis Others CDMS Int. Infra Netraff Others Rail Industry External Spatial User Interface Informatica Cloud Industry users •TOCs FOCs •OOR •Europe •Contractors MDM Hub alTime) pport Geospatial Spatial User Interface Informatica Cloud Industry users •TOCs FOCs •OOR •Europe •Contractors BIM CAD AssetDataStore PowerCenter+Data Quality (Batch/Change/RealTime) PowerCenter+Data Quality (Batch/Change/RealTime) Data Management •Master Data •Meta Data Analysis & ReportingMobile MEAP DecisionSupport Virtualized Data MDM Hub GeospatialPhysical Data Marts Virtual Data Marts BIM CAD New and Existing NewExisting Existing Asset Transactional systems Telemetry Systems Network Operations systems Ellipse Geogis Others CDMS Int. Infra Netraff Others Rail Industry External Spatial User Interface Informatica Cloud Industry users •TOCs FOCs •OOR •Europe •Contractors Asset Transactional Systems Telemetry Systems Operations systems External Systems Data Management: Master Data & Meta Data Mobile MEAP Analysis & Reporting Decision Support Spatial User Interface AssetDataStore PowerCenter+Data Quality (Batch/Change/RealTime) PowerCenter+Data Quality (Batch/Change/RealTime) Data Management •Master Data •Meta Data Analysis & ReportingMobile MEAP DecisionSupport Virtualized Data MDM Hub GeospatialPhysical Data Marts Virtual Data Marts BIM CAD New and Existing NewExisting Existing Asset Transactional systems Telemetry Systems Network Operations systems Ellipse Geogis Others CDMS Int. Infra Netraff Others Rail Industry External Spatial User Interface Informatica Cloud Industry users •TOCs FOCs •OOR •Europe •Contractors
  • 18. 18 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett What Makes Mastering Asset Data Different o  Reliance on Specification to establish a metadata standard o  Some assets are linear (e.g. tracks and runways cover long distances) and have other assets embedded in them o  There are many types of assets - in the case of rail tracks there are more than 25, in the customer domain there are usually only two types of customer o  This increases the number of rules in terms of: !  Standardisation Rules !  Match rules !  Merge rules !  ETL mappings o  Assets are subject to a long lifecycle which results in more data being collected than entities like customer o  To cope with this depth of data it is helpful to break the information into layers such as: !  Location (where is it) !  Definition (what is it) !  Condition !  Usage !  Capability !  Cost !  Performance !  Work
  • 19. 19 BIM Copyright © 2014 Capgemini. All rights reserved. Asset Information Management | May 2014In collaboration with TABLE OF CONTENTS !  Business Challenges facing Asset Intensive Organizations !  Capgemini’s Asset Information Framework !  Building an Asset MDM solution Our experiences of Asset MDM !  Partnering with Informatica !  Contact
  • 20. 20 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Our Experience A Major UK Rail Organisation !  The Informatica MDM solution has been implemented for the most important assets !  The Asset Information Specification have been created for these Assets !  The solution supplies joined up asset data to the Asset Data Store A Major UK Airport Organisation !  The Asset Information Framework was used to define which data is important for critical assets. !  The Asset Information Specification has been created for the 5 top Asset Classes. !  Next step is to implement an MDM and Asset data Store solution Predictive maintenance was estimated would save £50m pa on 22,000 miles of track assets In an Airport Management Company finding drilling samples and Specifications would save >£3m pa in rework
  • 21. 21 BIM Copyright © 2014 Capgemini. All rights reserved. Asset Information Management | May 2014In collaboration with TABLE OF CONTENTS !  Business Challenges facing Asset Intensive Organizations !  Capgemini’s Asset Information Framework !  Building an Asset MDM solution !  Our experiences of Asset MDM Partnering with Informatica !  Contact
  • 22. 22 BIM Copyright © 2014 Capgemini. All rights reserved. Asset Information Management | May 2014In collaboration with Capgemini and Informatica have a longstanding partnership Capgemini has a premium Partnership with Informatica. Together Capgemini and Informatica deliver compelling and robust solutions to our clients. !  Capgemini is named Informatica Global Partner !  Our partnership ensures we are well-linked to Informatica organization at all levels to provide the best service for our clients !  1,000+ Informatica-trained resources worldwide – across Informatica PowerCenter, Informatica Data Quality, Informatica MDM and other Informatica tools !  Dedicated Informatica Centre of Excellence (CoE) for project and market consultation, competency building as well as reporting and monitoring. We apply our core domain and business analysis expertise to create optimized Informatica objects and striking a balance between performance and cost. !  Access to Informatica software for training, demonstration, and integration purposes !  Access to online technical support and knowledge base !  Access to Informatica software upgrades and patches !  Tele-support access !  Discounts on product training/certification !  Access to product/solution professional certification. ! B2B Data Transformation ! BigData ! Cloud ! CEP ! Data Quality ! Data Explorer ! Data Privacy Product portfolio Benefits ! PIM ! ILM ! Informatica MDM ! PowerCenter ! PowerExchange
  • 23. 23 BIM Copyright © 2014 Capgemini. All rights reserved. Asset Information Management | May 2014In collaboration with TABLE OF CONTENTS !  Business Challenges facing Asset Intensive Organizations !  Capgemini’s Asset Information Framework !  Building an Asset MDM solution !  Our experiences of Asset MDM !  Partnering with Informatica ! Contact
  • 24. 24 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Contact us Frank Hewettt MDM Managing Consultant h frank.hewett@capgemini.com Srikant Kanthadai Global Head of Data Management srikant.kanthadai@capgemini.com Malay Baral Head of Data Management CoE malay.baral@capgemini.com
  • 25. The information contained in this presentation is proprietary. © 2013 Capgemini. All rights reserved. Rightshore® is a trademark belonging to Capgemini. www.capgemini.com About Capgemini With more than 120,000 people in 40 countries, Capgemini is one of the world's foremost providers of consulting, technology and outsourcing services. The Group reported 2011 global revenues of EUR 9.7 billion. Together with its clients, Capgemini creates and delivers business and technology solutions that fit their needs and drive the results they want. A deeply multicultural organization, Capgemini has developed its own way of working, the Collaborative Business Experience™, and draws on Rightshore®, its worldwide delivery model.