Importance of Data Governance. Vincent Deeney Solutions Architect iway Software

Transcription

1 Importance of Data Governance Vincent Deeney Solutions Architect iway Software

2 Some Puzzles Which way is this guy looking? Copyright 2007, Information Builders. Slide 2

3 Some Puzzles Copyright 2007, Information Builders. Slide 3

4 Some Puzzles Tell yourself they are the same, it doesn t matter! Copyright 2007, Information Builders. Slide 4

5 Data Governance Generic definition The discipline of formally organizing and managing data and information assets across an organization from a technical, business, and administrative perspective for the purpose of optimizing data outcomes that drive the business of the company, agency, or institution. Data governance has different meanings (often vastly different) to people, professions, organizations, industries, and solution providers Copyright 2007, Information Builders. Slide 5

6 Why is this relevant? Instinctive evaluation of information may seem accurate, but can be flawed. Accuracy and Percision Correct Information Completeness Thorough Information Validity Valid Information Consistency Uniform Information

7 What does this help to show? We need processes and techniques to improve our chances of making the right decisions Better Business Decisions Accurate Complete Copyright 2007, Information Builders. Slide 7

8 Data Governance What the industry is telling us On average, companies estimate they are losing $8.2 million dollars annually because of data quality issues with 22% of businesses estimating losses over $20 million per year. Organizations risk thinking their customers/clients are looking the wrong way! - Gartner Group (8/4/2009) On average, companies estimate they lose over $5 million dollars annually due to data related problems with 20% of businesses estimating losses over $20 million per year. - Forbes Insights (April 2010)

9 Data Governance Broad Interpretation of Scope Broad interpretation and scope Data integration Data quality Data modeling Data security & privacy Data lineage Metadata management Stewardship But who is Responsible? Business rules Data standards Data analytics Work flow management Measure, monitor, trend & report Data entry Organization policy Scope is known to vary considerably from one organization to the next covering many activities and domains Copyright 2007, Information Builders. Slide 9

10 Data Governance Fundamental Concepts (cont.) Technology or business process? It requires an element of both to be successful. Business process allows the organization to coordinate, establish, and oversee corporate data policies and practices. Technology allows for the implementation and automation of data policies established through the data governance business process.

11 Data Governance What influences data and information outcomes? Data management practices/policies Technology Business process Organization strategy and policy Culture Need to be governed and managed

12 Data Governance Why all the buzz? Data Governance may be the last frontier for materially Reducing costs Improving revenues Mitigating risk Driving compliance in mid-market, enterprise, and global organizations and across all industries.

13 What do I direct my attention?

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15 Data Governance The tactical and technical reasons for data governance Severe Fragmentation Systems Process People Data Intellectual capital Lack of metadata Ineffective data Integration strategy Silo workgroups Redundancy and rework Silo systems Silo business units Flawed business process Inconsistent business rules Deficient data standards Creating a 360 degree view Absence of data stewardship Poor data quality Silo projects Absence of overarching data strategy and direction Inconsistent data model Strained relationship between business and IT

16 Data Governance Common Business Drivers The business reasons for data governance Sales and marketing Risk and compliance Customers service Taxes and fee collections Social and human services Mail and transport Order-to-cash Supply chain Business analytics and research Asset management Decision support Data management operational efficiencies Project success (MDM, EDW, DW, CRM, BI, 360 degree view) Business operations with an extraordinary dependency on data to be accessible, accurate, and timely to drive the success of the business function.

17 Data Governance Technology What is required and why? Copyright 2007, Information Builders. Slide 17

18 Data Governance Technology Mission critical technologies and strategies Data Integration Data access Data movement (bi directional) Data Quality Profile Parse, cleanse, standardize, match Merge Measuring, Monitor, Trend, Report Data metrics & business performance MDM Unification/synchronization Work Flow Management Data remediation Data Governance Enabled Technology automates data policy created by the business process. - Real time -- Batch -- Business rule based -- Work flow enabled Copyright 2007, Information Builders. Slide 18

19 Data Governance Information Builders Approach Copyright 2007, Information Builders. Slide 19

20 IB Enterprise Information Management Framework Business Process Technology Consulting Strategy Roadmap Education Implementation Mentor Advocacy Best Practices Experience Data Governance Data Policy Standards Business Rules Roles & Responsibilities Stewardship Data Ownership Business Intelligence MDM Data Quality Data Integration System, Data, & Intellectual Fragmentation (Costly Business & Technical Problems) Presentation Layer Analytics & Operations Data Synchronization Single View of the Business Profile Cleanse Match Remediate Data Access Data Movement MD Center DQ Center DQ Profiler DQ Portal Infrastructure Service Manager Open systems Real time & batch Scalable Reusable DG enabled Business rule based