align business data & analytics for digital transformation
TRANSCRIPT
ALIGN BUSINESS DATA & ANALYTICS
FOR DIGITAL TRANSFORMATION#PerficientDigital
facebook.com/perficient twitter.com/PRFT_Transformlinkedin.com/company/perficient
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
#PerficientDigital 3
PERFICIENT PROFILEFounded 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
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INDUSTRIES
Healthcare
Financial Services
Life Sciences
Retail & Consumer
Goods
Automotive &
Transportation
High Tech
Telecom
Energy & Utilities
Manufacturing
Media & Entertainment
PORTALPortal Frameworks
SearchSecurityWeb AnalyticsWeb Content Management
Social & CollaborationMobilityExperience Design
INTEGRATIONIntegration Frameworks
Cloud ArchitectureReference Architecture
Application IntegrationEnterprise Application IntegrationService Oriented Architecture
Process & Content IntegrationBusiness Process ManagementComplex Event ProcessingRules Engines
DATA & CONTENTBusiness Analytics
Business IntelligencePredictive AnalyticsReporting
Structured Data ManagementData Integration, Quality & GovernanceEnterprise Data WarehouseMaster Data ManagementProduct & Information Mgmt
Unstructured Data ManagementBig DataContent IntelligenceContent Management
Enterprise Search
CUSTOMER EXPERIENCECustomer 360
Multi Channel EnablementRelationship ManagementSocial Engagement
CommerceMarketing Strategy ImplementationOrder ManagementSupply Chain ManagementService & SupportManaged Hosting
Sales & Service SupportCustomer Service, Sales Force Automation
Experience DesignStrategic Roadmaps & Envision Workshops User Research & Metrics AnalysisCreative & Interaction DesignCustom & Responsive UI Development
Digital MarketingSearch Engine MarketingOnline AdvertisingContent StrategyConversion Optimization
Management Consulting
BUSINESS OPERATIONSCorporate Performance Management
Budgeting, Forecasting & PlanningBusiness Analysis & Predictive Analytics
Enterprise Business SolutionsOracle EBSVertex Tax Solutions
Human Resource SolutionsEmployee Portals Human Resource ManagementTalent Management
Enterprise Social PlatformsSocial StrategyLync Unified CommunicationsOffice 365
Management Consulting
OUR SOLUTIONS PORTFOLIO
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PRESENTERS
Neetu ShawPrincipal
Bill BuschSr. Solutions Architect
@BigData73
#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
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MACRO-TRENDS DRIVING DATA TRANSFORMATION
Mobile
Internet of Things
Cloud
* Morgan Stanley Research
#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
#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.
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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.
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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
#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
#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
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THE 5 INFORMATION
GOVERNANCE PILLARS
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THE FIVE PILLARS
1
2
3
4
5
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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
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CORE INFORMATION GOVERNANCE (IG) CAPABILITIES
Master Data& Metadata
Data Quality
DataGovernance
Pro
cess
Peo
ple
Tech
nolo
gy
• 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
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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
TE
CH
NO
LO
GY
PE
OP
LE
PR
OC
ES
S
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COMPREHENSIVE ANALYTICAL PROGRAM
#PerficientDigital 20
MATURING THE DATA-
DRIVEN COMPANY
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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
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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
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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#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#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
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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#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
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GOVERNING THE NEXT-GENERATION
ENTERPRISE ARCHITECTURE
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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
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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
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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
Co
rpo
rate
Str
ate
gy
Enterprise Architecture
ENTERPRISE ARCHITECTURE DATA-DRIVEN STRATEGY
Solution Architecture
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UNIFIED DATA ARCHITECTURE: BIG DATA-CENTRIC
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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
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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
ReportsIteration 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
#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
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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
#PerficientDigital 37
QUESTIONS?
Please submit your questions in
the chat box
#PerficientDigital 38
FOLLOW US ONLINE
• Perficient.com/SocialMedia
• Facebook.com/Perficient
• Twitter.com/PRFT_Transform
• Blogs.perficient.com/digitaltransformation/
NEXT UP
Perficient & Forrester Analyst Roundtable:
Rethink & Realign for Digital Transformation Success
Thursday, June 18 | 1:00 PM CT
http://bit.ly/DTWebinar6
#PerficientDigital 39
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