The Role of “Crowd Power” in Defining Information …...Cloud In-Memory Architecture Business...
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The Role of “Crowd Power” in Defining Information Value Across Business & IT Functions Cameron Ogden | DATUM LLC
Transcript of The Role of “Crowd Power” in Defining Information …...Cloud In-Memory Architecture Business...
The Role of “Crowd Power” in Defining Information
Value Across Business & IT Functions
Cameron Ogden | DATUM LLC
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Fast Facts on DATUM LLC
Solutions Focus• Enterprise Information Management & Governance
• Focused on Master Data through Big Data
• Recognized by Gartner as a Thought Leading Consultancy• Named Leader in Data Governance 2.0 by Forrester
People, Process…. then Technology
• Developing Enterprise Data Management Strategy & Roadmapslinking information management with business value
• Defining optimized processes that create, manage and govern data
• Optimizing enterprise business processes and compliance via data integrity
• Designing and enabling the sustainable Operating Model for Governance
• Provide a Management Solution to foster Organization and Productivity within your Information & Data Program
About Us
• Founded March 2009
• Fast-Growth Solutions Company Recognized by
• Recognized by SmartCEO Magazine as a Future 50 rising star
• 70% of ASUG Data Governance 2014 SIG Annual Meeting “Success Stories” are users of our Solutions
DATUM Clients
DATUM Partners
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Our Time Today
• The role of Context in Information Governance
• The Easy Way and Hard Way to Capture Context
• Crowdsourcing Methods to Simplify Data
Governance
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The Challenge: Getting Enough Context
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The Challenge: Getting Enough THE RIGHT Context
Unfortunately, the big picture isn’t always helpful either…
What We Have What We Need
“I just want to know how much we spend with
‘Supply Corp!’”
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The Information Governance Operating Model is Driven by Context
BusinessProcesses are Operationalized By them
On-Premise and In-CloudTechnologies
Consume Them
Business Users Collaborate and
Define Them
Mission Critical Analytics Depend on Them
Data Standards &
Governance RulesMDG
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Data Quality, Context and Data Governance
User Population (10K+)
Consistently entering data
MAT HR SC FIN
SMEs(900+)
M H S F
DataStewards
(5+)M H S F
“I enter a placeholder until I know what data we really need”
“Why do we have the wrong shipping address on 30% of our orders?”
“We need to govern the ownership and capture of Shipping Address.”
“Why am I always fixing
the same data issue?”
IT
So What?Our Order Fill Rate is not optimized compared to our peers. We need to improve Order Fill Rate……. The context of business value and solutions comes from inputs outside the “project team.”
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DATUM Information Value Management® - (IVM)POLICY, PROCESS, PEOPLE: Design & Management for Rules, Standards, Processes, Metrics
The Easy Way Vs. Hard Way
A Simplified, Easier Approach
Business
Business
Data & Analytics
Data & Analytics IT
IT
• Complex and Complicated• Big and Centralized• Specialized skill
• Less Headcount• Lower Operating Cost• Better Visibility & Alignment
TraditionalApproach
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The Information Value Management® Methodology Difference
WHY
HOW
WHAT
Why is this data important?
What is the priority and impact?
Define governance strategy and methods through the operating
model(e.g. Ownership,
Process/Predictive/Active)
Produce executional functional design work
packages for tools deployment
(e.g. Data Quality, Ticketing, EIM, MDM, etc.)
Model referenced from “Start with Why”, by Simon SinekTED Talk: https://www.youtube.com/watch?v=sioZd3AxmnE
IVM™ is the business’ playbook to define the WHY & HOW to simplify execution of the WHAT
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“The Why”: Business Impact
Why does this Data matter?
Context Matters!
Metrics Processes People
What Level of Governance?
1 2 3
Designed in Information Value Management ®
WHY HOW WHAT
3
• Workflow• Quality Check• Integration
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“The Why”: Business Impact
“How do We Drive Business Value with
Data?”
Who will provide itand who will use it
What data is required for those functions
How the data should look
Where it needs to go
When it needs to be utilized
A Data Governance Framework and Operating Model linked to Business Value!
Compliance Adherence
Analytical Insights
OperationalEfficiencies
1
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“The What”: Context-Driven Execution
Why does this Data matter?
Context Matters!
Metrics Processes People
What Level of Governance?
1 2 3
Designed in Information Value Management ®
WHY HOW WHAT
2
• Workflow• Quality Check• Integration
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The “How”: Applying Context
Demand PlanningB
ott
om
Up
Top
Do
wn
Mid
dle
Ou
tTOP DOWN: Targeting the critical information and data needed to drive better decision-making via strategic KPIs, Measures and Metrics.
MIDDLE OUT: Targeting the key data and information necessary to drive business process improvement and optimization
BOTTOM UP: Tracing the critical data assets at a system, table and field level to its operational, compliance and analytical impact on the business.
2
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“The What”: Context-Driven Execution
Why does this Data matter?
Context Matters!
Metrics Processes People
What Level of
Governance?
1 2 3
Designed in Information Value Management ®
WHY HOW WHAT
3
• Workflow• Quality Check• Integration
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End-to-End Visibility of Data Assets & Governance Requirements
• Accelerated business process design with embedded governance policy
• Cross-reference of Governance Rules, Data Standards and Ownership Policy
• Workflow matching the natural collaboration of Data Governance and Analytics organizations
• Consolidation of project/program level functional detail to expedite opportunities for automation
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What Can Context Do? Make Data Simple for the Business
On Premise
Cloud
In-Memory Architecture
Business Process and Analytics Data Simplification
Template
Streamlined Execution
Distributed Business Context (Examples)
Conflict Minerals Project
Perfect Order Metrics
Global ERP Consolidation
Information Value Management®
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Key Takeaways
• Context drives the Information Governance Model
• The “Easy Way” to deliver value is to allow the business to tell their own context story
• Provide a framework to crowdsource the context
• Leverage a Why, How, and What approach to drive value through Data Governance
• Apply to both project and ongoing data activities
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