Tuesday, March 4, 2008

Welcome to the Data Theme

How often do you sit back and spend a moment to actually think about how much data we actually generate and use on a day to day basis? Whether it be in the office sending an email to a colleague, or updating a financial spreadsheet for your CFO we are using and generating data. Do you ever think that when you simply stop on the way home to fill up your car with gas, or scroll through the TV guide looking for your favorite show to TIVO, you are generating and using data?

With advances in processor speeds, data storage capabilities, and application technologies our capacity to generate and capture data is forever increasing. Many organizations are leveraging this data, turning it into usable, sustainable information that can be used as an asset to help gain competitive advantage. The majority of organizations however are simply overwhelmed as to what to do and where to start.

Over the next couple of months I welcome you to join me as we explore the theme of Data. We will look to discuss a variety of topics that relate to the challenges faced by organizations who are working to develop an "information architecture for the 21st century". Not only will we discuss the traditional well heeled topics such as "Data Strategy", "Data Quality" and "Data Integration", but also others that often influence the success of organizational initatives due to lack of prioritization or simple underestimation, such topics may include "Data Governance", "Master & Meta Data Management", and "Managing Unstructured vs Structured Data" to name a few. Of course if there is a topic of interest that you wish to discuss I fully encourage the suggestion.


Glyn D. Heatley bio - I'm a Director and Leader in the Information Strategy and Architecture Practice at The Palladium Group. I bring over 13 years of experience in delivering large scale Corporate Performance Management solutions with a primary focus in Data Management and Business Intelligence. Over the years I've gained experience in all areas of the Data Warehouse Life Cycle including Requirements Gathering, Solutions Architecture, Data Architecture, Data Integration, Business Intelligence and Project Management.

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