What Business People Need to Know About

Data Management and Data Governance

Micheline CaseyPrincipal

CDO, LLC@michelinecasey

michelinecasey1@gmail.comwww.dataTrending.wordpress.com

Best-in-Class or Laggard?

Best-in-class companies take 12 days on average to integrate new data sources into their analytical systems; industry average companies take 60 days; and, laggards 143 days

Source: Aberdeen Group: Data Management for BI: Fueling the analytical engine with high-octane information

•Limits ability to achieve organizational potential and to aggressively pursue new market opportunities

•Limits ability to take advantage of newly emerging business opportunities

•Limits success in bringing high-value products and services to customers, and in retaining and winning desired business

•Limits ability to drive information-based insights

•Limits ability to be proactive

Data Management Framework• Holistic approach to understand the information needs of the enterprise & its stakeholders

• Consistency for planning & process development

• 10 major functional areas, including governance

• Aligns data with business strategy (above) and technology (below)

• Takes into account the data lifecycle – creation through destruction

• Internationally recognized through Data Management Association International (DAMA)

Key Supporting Data Management Components to Big Data

• Data Governance – Exercise of authority and controls over the management of data assets. Policies, processes, standards, definitions, metrics.• Councils, stewards, trustees roles and responsibilities defined

• Data Architecture - Defines data requirements, guides integration and control of data assets, aligns data investments with business strategy.• Part of an overall enterprise architecture framework

• Enterprise data models, definitions, and taxonomies

• Enterprise data delivery

• Master Data Management – Control over master data values to enable consistent, contextual use across systems of the most accurate, timely and relevant version of truth about essential business entities.

• Meta Data Management – Descriptive tags about data, concepts, and connections between data and concepts.• Business, technical, process, and stewardship

• Data Security – Planning, development, and execution of security policies and procedures to provide proper authentication, authorization, access, and auditing of data and information assets.

Framework for Data-Driven Thinking

Key Questions to Drive Business Value from Data

• What business opportunity/problem are we trying to solve?

• What questions do we need to answer to solve the problem?

• What data do we need to answer the questions?

• What data do we have?

• How can data help differentiate us in the market?

• What data is IP for us? Revenue generating for us?

• How do we integrate the right data together?

• How do we manage the quality of the data?

• What data does this relate to (master data)?

• Do we have all the data about this (person, event, thing, etc.)?

• What are the permissible purposes of the data? (compliance, regulatory environment)

• Who is allowed to access the data? Use this data?

DM Spider Map

Data Management Maturity in a Social Business

Partial Source: Social Business by Design, Dion Hinchcliffe

Data Governance Council Roles and Responsibilities

DGCDGC

DGPDGP

Task Forces & Tiger Teams

Task Forces & Tiger Teams

Lines-of-BusinessLines-of-Business

Data Governance Operational View

Success Measures

• Information is trusted

• Speed to market for new products or services is improved

• Time spent looking for data is reduced

• Time-to-answer ratio is inversed

• Questions are answerable (e.g. What is the value of a customer?)

• Stratification and insight of customer is achieved

• Customer intimacy achieved

• Integration and development time slashed

Company is data-driven

What Business People Need to Know About

Data Management and Data Governance

Micheline CaseyPrincipal

CDO, LLC@michelinecasey

michelinecasey1@gmail.comwww.dataTrending.wordpress.com