Your success in the digital world relies primarily on how well you manage and analyze the data coming from disparate internal systems and external channels. You need to understand how to innovate and leverage digital data to drive sales and productivity.
Existing principles driving traditional data architecture are inadequate to support the volume, variety, and velocity of this new data ecosystem. In these scenarios, information governance (master data management, metadata, data quality and data governance) becomes highly critical in terms of providing the context for operational, competitive and advanced analytics.
Companies require a data architecture and strategy that can support efficient digital transformation by unlocking the value in all data sources to provide mission-critical insights and informed decision-making.
Our experts covered:
-Five information management pillars necessary for digital transformation
-Stages of digital information maturity, reflecting the typical path of an organization implementing this new data ecosystem
-Issues, challenges, and approaches to governing this new architecture
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Align Business Data & Analytics for Digital Transformation
1. ALIGN BUSINESS DATA & ANALYTICS
FOR DIGITAL TRANSFORMATION
#PerficientDigital
facebook.com/perficient twitter.com/PRFT_Transformlinkedin.com/company/perficient
2. Perficient is a leading information
technology consulting firm serving clients
throughout North America.
We help clients implement business-driven technology
solutions that integrate business processes, improve
worker productivity, increase customer loyalty and create
a more agile enterprise to better respond to new
business opportunities.
ABOUT PERFICIENT
3. #PerficientDigital 3
PERFICIENT PROFILE
Founded in 1997
Public, NASDAQ: PRFT
2014 revenue $456.7 million
Major market locations:
Allentown, Atlanta, Ann Arbor, Boston, Charlotte, Chicago,
Cincinnati, Columbus, Dallas, Denver, Detroit, Fairfax, Houston,
Indianapolis, Lafayette, Milwaukee, Minneapolis, New York City,
Northern California, Oxford (UK), Southern California, St. Louis,
Toronto
Global delivery centers in China and India
>2,600 colleagues
Dedicated solution practices
~90% repeat business rate
Alliance partnerships with major technology vendors
Multiple vendor/industry technology and growth awards
4. 4#PerficientDigital
INDUSTRIES
Healthcare
Financial Services
Life Sciences
Retail & Consumer
Goods
Automotive &
Transportation
High Tech
Telecom
Energy & Utilities
Manufacturing
Media & Entertainment
PORTAL
Portal Frameworks
Search
Security
Web Analytics
Web Content Management
Social & Collaboration
Mobility
Experience Design
INTEGRATION
Integration Frameworks
Cloud Architecture
Reference Architecture
Application Integration
Enterprise Application
Integration
Service Oriented Architecture
Process & Content Integration
Business Process Management
Complex Event Processing
Rules Engines
DATA & CONTENT
Business Analytics
Business Intelligence
Predictive Analytics
Reporting
Structured Data Management
Data Integration, Quality &
Governance
Enterprise Data Warehouse
Master Data Management
Product & Information Mgmt
Unstructured Data Management
Big Data
Content Intelligence
Content Management
Enterprise Search
CUSTOMER EXPERIENCE
Customer 360
Multi Channel Enablement
Relationship Management
Social Engagement
Commerce
Marketing Strategy Implementation
Order Management
Supply Chain Management
Service & Support
Managed Hosting
Sales & Service Support
Customer Service, Sales Force Automation
Experience Design
Strategic Roadmaps & Envision Workshops
User Research & Metrics Analysis
Creative & Interaction Design
Custom & Responsive UI Development
Digital Marketing
Search Engine Marketing
Online Advertising
Content Strategy
Conversion Optimization
Management Consulting
BUSINESS OPERATIONS
Corporate Performance Management
Budgeting, Forecasting & Planning
Business Analysis & Predictive
Analytics
Enterprise Business Solutions
Oracle EBS
Vertex Tax Solutions
Human Resource Solutions
Employee Portals
Human Resource Management
Talent Management
Enterprise Social Platforms
Social Strategy
Lync Unified Communications
Office 365
Management Consulting
OUR SOLUTIONS PORTFOLIO
6. #PerficientDigital 6
DISCUSSION ITEMS
Source: Wikimedia Commons, Erik Strandberg
• Key Drivers Transforming Analytics and Data
• 5 Information Pillars required for Digital
Transformation
• Stages of Information Management Transformation
• Key Approaches for Governing the New Architecture
8. #PerficientDigital 8
“Adoption of technology to continuously analyze streams of events will
accelerate in 2015 as it is applied to IoT analytics, which is expected to grow
at a 5-year compound annual growth rate of 30%.” (IDC)
“Big Data stream computing and visual discovery power digital business.
The leaders that connect things, ideas, people, and data will lead the
transition from Business Intelligence to Business Innovation.” (Neetu Shaw)
Cloud implementations of Big Data and analytical (data science) solutions
are the backbone of digital business.
DIGITAL TRANSFORMATION IS POWERED BY INFORMATION
9. #PerficientDigital 9
THE DIGITAL OPPORTUNITY
73% of organizations have
invested or plan to invest in Big Data
over the next two years
8%Companies have deployed
transformational applications to
production
Gartner News Room September 17 2014.
10. 10#PerficientDigital
BIG DATA USE CASES SPAN INDUSTRY AND LIFE
Retailers target
customers with
personalized offers
based on their
location in a store.
Pharmaceutical
companies use
device data to
increase the quality
of healthcare.
Automotive firms
provide real-time
insight into how
various vehicle systems
are performing under
specific driving
patterns, thereby
improving driving
experience, safety.
Power companies
analyze smart meter
data to detect fraud,
improve quality of
services.
11. 11#PerficientDigital
82%
Big Data research shows it is
disruptive and “potentially”
transformational
See Big Data changing the way they do
business.
89% believe Big Data is very important to their
transformation into digital.
http://www.accenture.com/us-en/Pages/insight-big-data-research.aspx
12. #PerficientDigital 12
63%
Executives believe that the top
focus of Big Data initiatives
over next 5 years will be:
Customer Relationships
58% Redefining Product Development
56% Changing Operations
http://www.accenture.com/us-en/Pages/insight-big-data-research.aspx
13. #PerficientDigital 13
80%
Business enablement is finally here!
Business intelligence requirements should
be carried out by business users
The Forrester Wave™: Self-Service Business Intelligence Platforms, Q2 2012
16. 16#PerficientDigital
CORE DATA PILLARS APPLY TO BOTH ENTERPRISE AND BIG DATA
• Data Modeling
• Data Taxonomy
• Data Migration
• Data Storage
• Data Access
• Data Archiving
• Data Retirement
• Data Privacy
• Data Retention
• Data Sharing
DATA
STRUCTURE
DATA
ARCHITECTURE
DATA
SECURITY
• Data Profiling
• Data Cleansing
• Data Monitoring
• Data Compliance
• Data Traceability
• Data Ownership
• Data Stewardship
• Data Policies
• Data Standards
• Data Legalization
• Master Data
Management
• Reference Data
Management
• Metadata
Management
DATA
QUALITY
DATA
GOVERNANCE
MASTER DATA
& METADATA
17. 17#PerficientDigital
CORE INFORMATION GOVERNANCE (IG) CAPABILITIES
Master Data
& Metadata
Data
Quality
Data
Governance
ProcessPeopleTechnology
• Data Definitions
• Master Data
• Metadata
• Reference Data
• Data Quality Rules & Policies
• Data Cleansing Standards
• Compliance Rules
• Data Policies
• Data Standards
• Business Data Ownership
• Data Workflow
• Data Stewards
• Business Data Owners
• Data Czar or Mgt. Committee
• Data Administration
• Data Quality Services Team
• Data Governance
• DBAs
• Business Data Administration
• Data Stewards
• Data Owners
• Master Data Mgt. Tools
• Reference Data Architecture
• Metadata Repository
• Data Profiling, Quality &
Monitoring Tools
• ETL Tools
• Audit Reports
• Data Rules Library
• Automated Notifications
(Workflow)
IG Capabilities
18. 18#PerficientDigital
ALIGNED PEOPLE, PROCESS, AND TECHNOLOGY
• Maturity
• Data Policies
• Data Standards
• Business Data
Ownership
• Data Workflow
• Data Taxonomy
• Logical Data Models
• Business Process
Flows
• Data Sizing, Storage &
Movement Architecture
• Data Retention &
Deletion Policies
• Physical Data Models
• Data Definitions
• Master Data
• Metadata
• Reference Data
• Data Quality Rules &
Policies
• Data Cleansing
Standards
• Compliance Rules
• Compliance & Security
Policies
• Local, National &
International Laws
• Pre-test Anonymization
• Sponsorship &
Maturity
• Business Data
Stewards
• IT Data Custodians
• Governance
Committees
• Enterprise Data
Architects
• Data Modelers
• Solution Architects
• Storage/
Technical Architects
• DBAs
• Business Data
Administration
• Data Stewards
• Data Owners
• Data Administration
• Data Quality Services
Team
• Data Governance
• DBAs
• Corporate Security
• Auditors
• Compliance Dept.
• Data Rules Library
• Business Glossary
• Metadata Repo
• Quality, Security,
Privacy, Metrics
• Automated Workflows
• LCM
• Data Modeling Tools
• Development Tools
• Archiving Tools
• Storage Management &
Hardware
• Technical Architecture
• MDM Tools
• Reference Data
Architecture
• Metadata Repository
• Data Profiling, Quality &
Monitoring Tools
• Quality Tools
• Audit Reports
• Security Software
• Access Rights
Management
• Data Audit Trails
• Data Anonymization
DATA
GOVERNANCE
DATA
STRUCTURE
DATA
ARCHITECTURE
MASTER DATA
& METADATA
DATA
QUALITY
DATA
SECURITY
TECHNOLOGYPEOPLEPROCESS
21. 21#PerficientDigital
ENABLING A DATA-DRIVEN TRANSFORMATION
Increase value
attainment and
business enablement
Uncommitted
IT drives the initial forays into Big Data and
Analytics with little business case support
Engaged
Active Analytics and Data initiatives with limited
enterprise exposure
Dynamic
Business-aligned and driven analytics across the
enterprise
Differentiated
Analytics and Data capability is used to enable industry
leadership
1
2
3
4
22. 22#PerficientDigital
7 TRANSFORMATIONAL DIMENSIONS
Uncommitted
IT drives the initial forays into Big Data and
Analytics with little business case support
Engaged
Active Analytics and Data initiatives with limited
enterprise exposure
Dynamic
Business-aligned and driven analytics across the
enterprise
Differentiated
Analytics and Data capability is used to enable industry
leadership
1
2
3
4
Increase value
attainment and
business enablement
23. 23#PerficientDigital
TRANSFORMING THE DATA ENVIRONMENT: LEVEL 1 UNCOMMITTED
Increase value
attainment and
business enablement
Engaged
Active Analytics and Data initiatives with limited
enterprise exposure
Dynamic
Business-aligned and driven analytics across the
enterprise
Differentiated
Analytics and Data capability is used to enable industry
leadership
2
3
4
Uncommitted
IT drives the initial forays into Big Data and
Analytics with little business case support
1
24. 24#PerficientDigital
TRANSFORMING THE DATA ENVIRONMENT: LEVEL 2 ENGAGED
Increase value
attainment and
business enablement
Uncommitted
IT drives the initial forays into Big Data and
Analytics with little business case support
Dynamic
Business-aligned and driven analytics across the
enterprise
Differentiated
Analytics and Data capability is used to enable industry
leadership
1
3
4
Engaged
Active Analytics and Data initiatives with limited
enterprise exposure
2
25. 25#PerficientDigital
Engaged
Active Analytics and Data initiatives with limited
enterprise exposure
Differentiated
Analytics and Data capability is used to enable industry
leadership
TRANSFORMING THE DATA ENVIRONMENT: LEVEL 3 DYNAMIC
Increase value
attainment and
business enablement
Uncommitted
IT drives the initial forays into Big Data and
Analytics with little business case support
Dynamic
Business-aligned and driven analytics across the
enterprise
1
2
3
4
26. 26#PerficientDigital
Dynamic
Business-aligned and driven analytics across the
enterprise
TRANSFORMING THE DATA ENVIRONMENT: LEVEL 4 DIFFERENTIATED
Increase value
attainment and
business enablement
Uncommitted
IT drives the initial forays into Big Data and
Analytics with little business case support
Engaged
Active Analytics and Data initiatives with limited
enterprise exposure
Differentiated
Analytics and Data capability is used to enable industry
leadership
1
2
3
4
27. 27#PerficientDigital
People
• Train/level set organization in
Big Data vision and concepts
• Establish goals/objectives
• Understand IT and business
transformation that is required
• Identify core team and
governance participates
• Train POC technical resources
• Identify and train business
power users
• Establish Analytics COE
focused on enablement
• Train analytics core team
• Broaden technical training to
focus on delivery and best
practice
• IT people manage data as a
unified resource
• Train IT management in next
generation
Process
• Establish governance model
• Initiate program management
• Identify broad business cases
• Complete strategy assessment
• IT driven data investments
• Develop architecture
governance and delivery
processes
• Data investments are driven by
business silos
• Establish sandbox policies
• Build support processes
• Data investments are driven by
enterprise business priorities
• Continuously improve delivery
processes and best practices
• Refine and Maintain capability
roadmap
• Enhance business processes
based on analytics
• Strategic decision making
processes plan for analytics
Technology
• Determine high-level approach
• Core architectural principles
• Target roles for Big Data in
enterprise architecture
• Desktop investigation of
technology
• Complete POC
• Determine product solution
architecture
• Establish production
infrastructure
• Transition to a single unified
data architecture
• Services are concentrated on
an enterprise data hub
• Align architecture and
governance
Unified data architecture is
continually improved
Enterprise Vision Enterprise Asset
Uncommitted
NEXT-GENERATION DATA MATURITY
Engaged Dynamic Differentiated
29. 29#PerficientDigital
DATA TRANSFORMATION SUCCESS IS MORE THAN A TOOL DISCUSSION
Alignment to Corporate
Objectives
As companies are digitally
transform they are
redefining service, speed
and ease-of-use
Next-Generation
Architecture Focus
A unified architecture to
support the new data
ecosystem
Value-Focused
Governance
Governance must be
resized to the value created
Organizational Skill
Development
Skills for the new digital
economy must be acquired
and developed
30. 30#PerficientDigital
Corporate strategy executed through an business
aligned IT strategy results in an aligned enterprise
architecture
A pragmatic model to bring about business agility
and flexibility
Defines ownership, best practices and agile
delivery
Results in a streamlined, maintainable and
flexible enterprise architecture addressing
data/information, application, technology and
technology architectures
Once aligned, enterprise architecture will be an
enabling factor for business agility
Corporate Strategy
IT Strategy
Enterprise Architecture
Data/
Information
Application Technology
ALIGN ENTERPRISE ARCHITECTURE TO CORPORATE STRATEGY
31. 31#PerficientDigital
Business
Architecture
• Servers
• Networks
• Operating/VM
Systems
• Networking/
Cloud
• Database
Platforms
• Security
• Storage
• Desktop/ Mobile
• SOA
• Frameworks
• Canonical
Models
• Service
Definitions
• Process Models
• Data
Architecture
• Data Integration
• BI/Reporting
• Analytics
• MDM
• Data Quality
• Content
Intelligence
• Metadata
Information
Architecture
Information
Architecture
Technology
Architecture
Application
Architecture
Application
Architecture
Technology
Architecture
• Business
Processes
• Use
Cases/Models
• Requirements
• Business Rules
• Organizational
Models
IT Governance
CorporateStrategy
Enterprise Architecture
ENTERPRISE ARCHITECTURE DATA-DRIVEN STRATEGY
Solution Architecture
33. 33#PerficientDigital
BIG DATA GOVERNANCE: AREAS OF FOCUS
*Source: Gartner, 2014
• Big Data is core to IT success and must be
integrally governed
• Companies governed well have a 20%
higher return on assets*
• Successful Big Data deployments
• Have higher business usage
• Investment aligned to business priorities
• Support business agility
34. 34#PerficientDigital
VERTICALLY ITERATE TO CREATE VALUE QUICKLY
Move Data To
Data Hub (Raw)
Iteration 1
Standardize Data
Iteration 2
Model/Integrate
Data
Iteration 3
Prep and Move
to DW/DM/IMDB
Iteration 4
Dashboards,
Scorecards and
Reports
Iteration 5
Data Available for
Analytics and Discovery
$
Broad-based Data Analysis -> Design -> Data Ingestion Build -> ETL Build -> DW/DM/ Build -> Dashboards,
Scorecards, Reports -> Move to Production
Focused Analysis
Data Available for Use
$
Big Data Vertical Iteration
Big Data Horizontal Iteration
Single Iteration
Continually Improve Data
35. #PerficientDigital 35
Enable business users and developers to be more self-
sufficient and productive
Create services that coach business users and monitor their
progress
Create certification and gamification processes to drive
desired behavior
Establish and monitor metrics for continuous improvement
Create a controlling type of culture
Governance for governance’s sake
Create IT bottlenecks
DOS & DON’TS
36. 36#PerficientDigital
Context
and
Capability
Insight
Vision and
Goals
Strategy and
Experience
Modeling
Road Map
and
Rollout
Planning
• Stakeholder Interviews
• Primary Research
• Key Customer Journeys
• Maturity and Opportunity
Assessments
• Competitor Strengths
and Positioning
Assessment
1 2 3 4
Execution and
Optimization
Develop actionable
insights that frame the
problem and inform
solution ideation
Envision and articulate
high-value future state
scenarios and objectives
Identify key initiatives
along with operational,
technical and platform
requirements
Prioritize initiatives based
on effort and impact to
guide implementation
• Core Initiatives
Definition and Scoping
• Experience Pillars
• Future State Experience
Definition
• Concept Validation
• Road Map and Implementation
Plan
• Identification of Quick Wins vs.
Long-term Initiatives
• Investment and Resource
Analysis
• Work Stream Planning
• Change Management Planning
HOW TO GET STARTED
• Vision Workshop