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Enabling Digital Business with
IBM Governed Data Lake
Karan Sachdeva (karan@sg.ibm.com)
IBM Big Data Analytics
Sales Leader
Asia Pacific
What I am going to discuss in
next 15 minutes
1.Digital Disruption
2.Becoming Digital business with
IBM Governed Data Lake
3.Call To Action - Discovery
Workshop and Quick Start
Solution
Powerful disruptions have fundamentally changed long-standing
business practices and business models
A digitized ecosystem
is crucial for
business success Digital ubiquityNew business
models
Digital ecosystem
Disruption 1
Analytics & cognitive
Machine Learning
Cloud Data Science
The Internet
of Things
The upsurge of big
data and analytics
technologies
Disruption 2
Availability of Consumer
Data, Business Data, IoT
Data
Disruption 3
Traditional transactional data
Contextual data
Disrupt the Disruptor. Become a Data Driven Business with IBM Governed Data Lake.
Why you need IBM Governed Data Lake
Data is proliferating, often stored in different locations and formats. Its getting more difficult to
provide data access and reliable analytics to businesses
IBM Governed Data Lake: Delivering What the Enterprise Requires in
Digital Era
Build a Solution to Monetize Data
assets by applying ML and Data
Science
Revolutionize how enterprises manage and use their data
Deliver a Production-Ready Data
Lake with Governance
Build a system that is easy-to-use and integrates
with Enterprise IT
Business IT
Govern Data Lake Primary Focus Areas
Use Familiar Tools Access More Data
Get Faster Results Monetize Data
Reduced Risk Price-Performance
Robust Management Seamless Integration
IBM Governed Data Lake
Open Standards | Machine Learning & Data Science | Governance
IBM Governed Data Lake is end to end “Value driven” Big Data
Platform journey
Big Data Governance:
Data Discovery and Self Service
Analytics with strong data
governance build in for the
business. Shop for data
capabilities for different business
units.
Big Data Storage (structured and
unstructured data):
Fit for purpose storage strategy
with Common SQL Engine.
Real Time and low latency
Analytics Environment to support
different workloads for your
business landscape.
Data Science and Machine
Learning:
Leverage power of prediction
with Machine Learning and Data
Science. Innovate and Become
data driven business
Select the entry points to your Governed Data Lake journey
Disruptive
Competitive
Optimized
Data & Insight Accessibility
Big Data made
accessible and
simple
Data assets made
understood,
protected and
trusted
Natural Language
Visualization and
Exploration
Insight Driven
Enterprise:
ML,AI, Optimize
and Automate
Big Data
Govern
Explore
Data Science
Enterprise DW Modernization
EDW Augmentation
Customer 360
Operational DataStore
Machine Learning
Anomaly Detection
Recommendation Engine
Cognitive Text Analytics
Reference Architecture- Governed Data Lake
REAL-TIME DATA SOURCES
ENTERPRISE
TRANSACTION
DATA
ERP,	MES,	QMS,	
Maintenance,	ETC.
LEARN4
GOVERNED DATA LAKE
STORE AND PROCESS
IBM Data Science
Experience
1
I
N
G
E
S
T
INGEST AND MONITOR
5
ANALYZE4
7
DATA	IN	
MOTION
DATA	AT	
REST
IBM Big SQL
ACT
REAL-TIME
ACTION
DEPLOY Data Discovery
ML and Data Science
Data Governance IBM Information Governance Catalog
REAL-TIME
ACTION
7
7
IBM Data Science Experience Platform
Top Spot in Gartner’s Magic Quadrant
Gartner comments-
"DSX is likely to be one of the most
attractive platforms in the future —
modern, open, flexible and suitable for a
range of users, from expert data
scientists to business people"
"IBM has been focusing on support for
open-source technologies, which is a top
requirement for data scientists. It is
strongly committed to Spark and other
open-source technologies, and has
contributed to open-source SystemML
technology from IBM Research"
Governed Data Lake Quick Start Solution
1. Receive best practices
for your organizations
to get started with
governed data lake
2. Achieve faster time-to-
value with pre-built
accelerators
3. Leverage world-class
data scientists and
engineers with proven
results at most mature
big data and Data
Science customers
12 Nodes of best in
class Open Source
Hadoop- IBM
Hortonworks Data
Platform
5 Users for IBM
Data Science
Experience
1 weeks of
partner
services
engagement
_________
= 75K USD*
*Commercials for services from third party IBM Partners.
*Commercials focused on Data Science environment for Governed Data Lake
*Commercials may vary from local conditions and countries to countries
*Offer valid till 31st March 2018
+ +
Use Discovery Workshop to produce a definitive “Governed
Data Lake Blueprint”
How to do: envision
Data First Method
Discovery Workshop
Machine learning
assessment
Executive interviews
Competitive & strategic
assessment
Data warehouse
assessment
Digital initiatives
overview
Executive alignment and
commitment
Governed Data Lake roadmap
Defined pilot
Business case
Input Output
IBM Cloud
Call To Action:
• Identify the use case for your business
Involve us for free Discovery workshop
• Read, learn and Contribute at-
• www.ibmbigdatahub.com
• Write to us- karan@sg.ibm.com
Essential to Informed Decision Making
Driving Innovation
Using Data
Big Data
Persistence
Simplified
way to
Access the
Data
Data
Governance
Data Science
Tooling to
drive insights
How to become a Cognitive and Digital Innovator ?
1.
2.
3.
4.
5.
Create a competency to clearly articulate business problems that cognitive
technologies can help solve
Define value associated with solving those problems and make appropriate
investments
Ensure data strategy targets information needed to address problems
identified
Adopt a strategy of continuous improvement
Make innovation central to business vision, strategy, and execution
Five Key Recommendations to Become Cognitive Innovator
The Digital Business
• Provides customer-defined and experience-led services
and products
• Data as a business model
• Contextual actions in the moment
• Low cost, agile IT, automated, intelligent
People-
Transformed
digitally savvy
workforce
Process:
Reimagined,
processes, IT
automation,
agile, micro-
service based,
low costs
Revenues- 90% sales and
service transactions online,
omni-channel, high customer
experience & NPS
Customers-
Serves all
segments,
customer-defined
purchasing
Cognitive analytics,
fast, intelligent data
Serves
the
customer
base
Source: IBM Institute for Business Value.
Governed
Data Lake
Machine Learning | Data Science | Governance
IBM Governed Data Lake: First Step for Digital Business
Persist
Analyze
Ingest Deploy
Projects | Data | Assets | Pipelines | APIs
Intelligent governance | Policy enforcement
What you need is an integrated Data Platform
Making data into insights is a team sport
Our Core Tenets
1. Intelligent by Design
2. Collaborative for data
Professionals
3. Self-service access to
trusted data
4. Best in class streaming
and real-time analytics
5. Open and Extensible
Collaborate
Data steward Data scientistData engineer Developer
Find Share

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IBM Governed Data Lake

  • 1. Enabling Digital Business with IBM Governed Data Lake Karan Sachdeva (karan@sg.ibm.com) IBM Big Data Analytics Sales Leader Asia Pacific
  • 2. What I am going to discuss in next 15 minutes 1.Digital Disruption 2.Becoming Digital business with IBM Governed Data Lake 3.Call To Action - Discovery Workshop and Quick Start Solution
  • 3. Powerful disruptions have fundamentally changed long-standing business practices and business models A digitized ecosystem is crucial for business success Digital ubiquityNew business models Digital ecosystem Disruption 1 Analytics & cognitive Machine Learning Cloud Data Science The Internet of Things The upsurge of big data and analytics technologies Disruption 2 Availability of Consumer Data, Business Data, IoT Data Disruption 3 Traditional transactional data Contextual data Disrupt the Disruptor. Become a Data Driven Business with IBM Governed Data Lake.
  • 4. Why you need IBM Governed Data Lake Data is proliferating, often stored in different locations and formats. Its getting more difficult to provide data access and reliable analytics to businesses
  • 5. IBM Governed Data Lake: Delivering What the Enterprise Requires in Digital Era Build a Solution to Monetize Data assets by applying ML and Data Science Revolutionize how enterprises manage and use their data Deliver a Production-Ready Data Lake with Governance Build a system that is easy-to-use and integrates with Enterprise IT Business IT Govern Data Lake Primary Focus Areas Use Familiar Tools Access More Data Get Faster Results Monetize Data Reduced Risk Price-Performance Robust Management Seamless Integration IBM Governed Data Lake Open Standards | Machine Learning & Data Science | Governance
  • 6. IBM Governed Data Lake is end to end “Value driven” Big Data Platform journey Big Data Governance: Data Discovery and Self Service Analytics with strong data governance build in for the business. Shop for data capabilities for different business units. Big Data Storage (structured and unstructured data): Fit for purpose storage strategy with Common SQL Engine. Real Time and low latency Analytics Environment to support different workloads for your business landscape. Data Science and Machine Learning: Leverage power of prediction with Machine Learning and Data Science. Innovate and Become data driven business
  • 7. Select the entry points to your Governed Data Lake journey Disruptive Competitive Optimized Data & Insight Accessibility Big Data made accessible and simple Data assets made understood, protected and trusted Natural Language Visualization and Exploration Insight Driven Enterprise: ML,AI, Optimize and Automate Big Data Govern Explore Data Science Enterprise DW Modernization EDW Augmentation Customer 360 Operational DataStore Machine Learning Anomaly Detection Recommendation Engine Cognitive Text Analytics
  • 8. Reference Architecture- Governed Data Lake REAL-TIME DATA SOURCES ENTERPRISE TRANSACTION DATA ERP, MES, QMS, Maintenance, ETC. LEARN4 GOVERNED DATA LAKE STORE AND PROCESS IBM Data Science Experience 1 I N G E S T INGEST AND MONITOR 5 ANALYZE4 7 DATA IN MOTION DATA AT REST IBM Big SQL ACT REAL-TIME ACTION DEPLOY Data Discovery ML and Data Science Data Governance IBM Information Governance Catalog REAL-TIME ACTION 7 7
  • 9. IBM Data Science Experience Platform Top Spot in Gartner’s Magic Quadrant Gartner comments- "DSX is likely to be one of the most attractive platforms in the future — modern, open, flexible and suitable for a range of users, from expert data scientists to business people" "IBM has been focusing on support for open-source technologies, which is a top requirement for data scientists. It is strongly committed to Spark and other open-source technologies, and has contributed to open-source SystemML technology from IBM Research"
  • 10. Governed Data Lake Quick Start Solution 1. Receive best practices for your organizations to get started with governed data lake 2. Achieve faster time-to- value with pre-built accelerators 3. Leverage world-class data scientists and engineers with proven results at most mature big data and Data Science customers 12 Nodes of best in class Open Source Hadoop- IBM Hortonworks Data Platform 5 Users for IBM Data Science Experience 1 weeks of partner services engagement _________ = 75K USD* *Commercials for services from third party IBM Partners. *Commercials focused on Data Science environment for Governed Data Lake *Commercials may vary from local conditions and countries to countries *Offer valid till 31st March 2018 + +
  • 11. Use Discovery Workshop to produce a definitive “Governed Data Lake Blueprint” How to do: envision Data First Method Discovery Workshop Machine learning assessment Executive interviews Competitive & strategic assessment Data warehouse assessment Digital initiatives overview Executive alignment and commitment Governed Data Lake roadmap Defined pilot Business case Input Output
  • 12. IBM Cloud Call To Action: • Identify the use case for your business Involve us for free Discovery workshop • Read, learn and Contribute at- • www.ibmbigdatahub.com • Write to us- karan@sg.ibm.com
  • 13. Essential to Informed Decision Making Driving Innovation Using Data Big Data Persistence Simplified way to Access the Data Data Governance Data Science Tooling to drive insights
  • 14. How to become a Cognitive and Digital Innovator ? 1. 2. 3. 4. 5. Create a competency to clearly articulate business problems that cognitive technologies can help solve Define value associated with solving those problems and make appropriate investments Ensure data strategy targets information needed to address problems identified Adopt a strategy of continuous improvement Make innovation central to business vision, strategy, and execution Five Key Recommendations to Become Cognitive Innovator
  • 15. The Digital Business • Provides customer-defined and experience-led services and products • Data as a business model • Contextual actions in the moment • Low cost, agile IT, automated, intelligent People- Transformed digitally savvy workforce Process: Reimagined, processes, IT automation, agile, micro- service based, low costs Revenues- 90% sales and service transactions online, omni-channel, high customer experience & NPS Customers- Serves all segments, customer-defined purchasing Cognitive analytics, fast, intelligent data Serves the customer base Source: IBM Institute for Business Value. Governed Data Lake Machine Learning | Data Science | Governance IBM Governed Data Lake: First Step for Digital Business
  • 16. Persist Analyze Ingest Deploy Projects | Data | Assets | Pipelines | APIs Intelligent governance | Policy enforcement What you need is an integrated Data Platform Making data into insights is a team sport Our Core Tenets 1. Intelligent by Design 2. Collaborative for data Professionals 3. Self-service access to trusted data 4. Best in class streaming and real-time analytics 5. Open and Extensible Collaborate Data steward Data scientistData engineer Developer Find Share