Visualize Your Data Management Framework

Visualize YourData Management Framework

‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐Don’t Dilute Great Governance in a Maze of Text, Disconnected Documents, and Disparate Software

Manage the Forest and the Trees

Bridging the Gap Between Operations and Strategy

Data Management Resource Center ‐ Visual,Centralized, Intuitive Navigation to Resources

This particular framework is based on the:

© 2016 Process Delivery Systems

pThe DAMA Guide to the Data Management Body of Knowledge (DAMA‐DMBOK Guide) and,The CMMI® Data Management Maturity (DMM)℠ Model

Data Management Resource CenterReduce the Complexity of Communications

Data Management is an Inherently Complex Initiativeo Disconnected documents presentations and software add complexityo Disconnected documents, presentations, and software add complexityo Text‐based content and disconnected delivery methods increase

efforts to comprehend and collaborate on sophisticated subject matter

R C t D i d f T d ’ R d hi Resource Centers are Designed for Today’s Readershipo Visually intuitive, yet comprehensiveo Visual mapping to appropriate resources when neededo Manage the forest and the trees – designed for intuitive navigation

between high level overviews and granular levels of detail

Resource Centers Increase Collaboration EffectivenessResource Centers Increase Collaboration Effectivenesso Dramatically reduces the “figure‐it‐out” timeo End‐to‐end visibility eliminates departmental and expertise siloso Quickly gets stakeholders on the same page


Today’s Reading Culture Requires Visually Intuitive, Clear, yet Comprehensive Delivery

Traditional Text‐Based Delivery Web‐Based Delivery

Source: Data Management Association ‐ Data Management Body of Knowledge

Centralized Access to All ResourcesVisually Intuitive Delivery of ContentPoint & Click Immediate Access to Required ResourcesLinks to Functions Policies Workflows Instructions Roles

No Central Repository for All ResourcesContent Scattered Across Multiple Documents and ApplicationsConstant Scrolling Reading and Searching


Links to Functions, Policies, Workflows, Instructions, Roles and Responsibilities, Documents and Forms, Applications, Videos, and Other Resources as Needed

Constant Scrolling, Reading, and Searching for Required Information and ResourcesIntensive Content Reading Efforts

Visual, Intuitive Navigation From High‐Level to Granular Detailed Content



pThe DAMA Guide to the Data Management Body of Knowledge (DAMA‐DMBOK Guide) and,The CMMI® Data Management Maturity (DMM)℠ Model

GIS Data Lifecycle Management


Data Management Resource Center Data Governance Home Pageg



This particular framework is based on the:The DAMA Guide to the Data Management Body of Knowledge (DAMA‐DMBOK Guide) and,The CMMI® Data Management Maturity (DMM)℠ Model

Data Governance Suppliers, Inputs, & Requirement Details


This particular framework is based on the:The DAMA Guide to the Data Management Body of Knowledge (DAMA‐DMBOK Guide) and,The CMMI® Data Management Maturity (DMM)℠ Model

Data Governance ‐ Primary Deliverables, Consumers, and Requirement Details

This particular framework is based on the:The DAMA Guide to the Data Management Body of Knowledge (DAMA‐DMBOK Guide) and,The CMMI® Data Management Maturity (DMM)℠Model


The CMMI® Data Management Maturity (DMM)℠ Model

End‐to‐End AccountabilityInputs, Activities, and DeliverablesInputs, Activities, and Deliverables


The Effect of Variation on Data Quality

Data Management’s Purpose is to Improve Control of Variation That Affects the Predictability of Information QualityLower Variation’s Information Impact:• Repeatable Quality• Predictable Outcomes

Variation Predictability

• Sustainable Processes• Reduced Redundancy• Reliable and Trusted Information• Lower Costs

Higher Variation’s Information Impact:• Lower Quality• Unpredictable

Lower Costs

p• Incomplete• Incorrect• Redundant• Questionable and Unreliable Information• Questionable and Unreliable Information• Higher Costs


Effective Data Management Controls Variation Over Time Increasing Predictability and Trust of Informationg y

• Culture of Effective CollaborationUpper Limit Goal Lower Limit Performance Level

Variation Under ControlCulture of Effective Collaboration

• Predictable Outcomes • Trusted Information• Effective Decision‐Making600

800

1000

1200

Upper Limit Goal Lower Limit Performance Level

g• Gain Competitive Advantages• Quickly Adapt to Competitive Business Trends

0

200

400

1 2 3 4 5 6 7 8 9 10

1400

Upper Limit Goal Lower Limit Performance Level

Variation Not Under Control• Feeds Silo Culture• Unpredictable Outcomes

400

600

800

1000

1200 • Unpredictable Outcomes• Unreliable Information• Lower Quality Decision‐Making• Unable to Adapt to Competitive


0

200

1 2 3 4 5 6 7 8 9 10

Unable to Adapt to Competitive Business Trends

Contact

Data Management is a Critical Strategic Initiative Traditional Subject Matter Delivery Doesn’t Match Today’s

Capabilities and Expectations We Help Attain Data Management Success

o Incorporate today’s web technology to improve access too Incorporate today s web technology to improve access to, understanding of, and collaboration on complex subject matter

o Define and visualize end‐to‐end accountabilityId tif f i ti i t l d di t bilito Identify sources of variation, improve control, and predictability

o Establish a solid, visual foundation for continuous improvement

Contact Us:o Henry Draughono Office: (972)‐ 980‐9041o hdraughon@processdeliverysystems com


o [email protected] www.processdeliverysystems.com

Visualize Your Data Management Framework

Data & Analytics

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