|Big Data Governance Roundtable in Rosemont,IL
Thursday, November 29, 2012
Rosewood Restaurant : 9421 W. Higgins Road, Rosemont, IL
Click Here to RSVPIn this Big Data Governance Discussion you will learn:
- Big Data includes Twitter feeds, blogs, cell phone GPS signals, to name a few.
- Organizations need to govern big data just as they would other types of information, such as master data and reference data.
- Organizations must apply the traditional principles of information governance to big data: Metadata, Data Quality, Security & Privacy, Information Lifecycle Management.
- 6 p.m. Cocktail Reception
- 6:45 p.m. Introduction by PR3 Systems
- 7 p.m. Keynote: Sunil Soares, Founder of Information Assets. LLC
- 7:30 p.m. Dinner & Networking
Contact Maria Olivo
Data Governance Winter Conference in Ft. Lauderdale, FL
Monday, December 3rd from 1:30 – 4:45
Tutorial: Selling Data Governance to the Business Users in your Organization – Best Practices by Industry and Job Function One of the major challenges with any data governance program is explaining the value to the business. Most data governance programs deal with certain themes that are common across every enterprise including poor data quality, inconsistent business terms, fragmented data, high storage costs, regulatory compliance, and security and privacy issues. However, these themes present themselves differently across different industries and job functions. For example, poor data quality manifests itself in the form of duplicate customer records in a bank, which affects the ability of the credit risk group to establish the overall exposure to an individual customer across product lines. In retail, poor data quality results in duplicate mailings of multiple catalogs by the marketing department to the same household.
This session is based on Sunil’s book Selling Information Governance to the Business: Best Practices by Industry and Job Function.
The session will be divided into four parts:
- Best practices by industry that deal with the application of data governance principles within banking and financial markets, insurance, healthcare, manufacturing, retail, travel and transportation, government, oil and gas, telecommunications, and utilities.
- Best practices by job function that deal with the application of data governance principles within critical job functions such as sales and marketing, finance, information technology operations, information security and privacy, human resources, legal and compliance, operations, supply chain, and product management.
- Binding the organization to the data based on frameworks such as a RACI matrix.
- Linking data governance policies to key business processes as part of the so-called process data governance. For example, mapping key data governance policies to an insurance claims process.
- Sample business cases by industry and function.
The Conference will be held from December 3 – 5 in Fort
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