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Data quality techniques and best practices News
May 20, 2014
This week's Talking Data podcast recaps Enterprise Data World and a mother lode of data quality information.
February 28, 2014
In an interview, author and data quality architect Laura Sebastian-Coleman discusses steps organizations should take to improve data quality levels.
November 21, 2013
In a podcast, SearchDataManagement's Jack Vaughan reports on data issues as discussed at Strata East 2013 in New York, and IBM IOD 2013 in Las Vegas.
November 15, 2013
Big data analytics has potential, but it also needs better governance and training, said data leaders at IBM Information On Demand 2013.
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In computing, data is information that has been translated into a form that is more convenient to move or process. In other contexts, data has somewhat different meanings. Continue Reading
It might be all over the news, but IBM's megacomputer Watson isn't the be-all and end-all in virtual assistant technology. Continue Reading
For decades, IT managers, developers and business executives had limited options when shopping for database technologies: Relational databases were universally built on top of the SQL programming language. It was SQL or nothing.
Now, ... Continue Reading
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It has been 10 years since the master data management industry emerged. MDM technology is maturing, and project success rates are on the rise -- but there's still a long way to go. Continue Reading
Organizations should meet a few key program development goals prior to implementing an MDM initiative, according to MDM expert Anne Marie Smith. Continue Reading
It might be tempting to assume that you don't have to worry about the quality of your data. But blind trust of that sort can get companies in trouble. Continue Reading
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Data quality problems, often resulting from inconsistent data definitions and duplicates, can hamstring BI and analytics efforts if they aren't forcefully addressed. Continue Reading
When implementing an MDM initiative, businesses should take steps to incorporate effective data quality management practices from the outset. Continue Reading
Data governance is all about managing data as a business asset and ensuring that data is accurate, consistent, integrated, timely, complete and secure. This report examines the market trends for implementing data governance. Based on data from a ... Continue Reading
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Data governance programs often rely on the part-time data steward -- an employee from a business unit who also serves as a data expert. Continue Reading
Enlist senior-level champions from both business and IT to guide a data governance program and achieve harmony between the two sides. Continue Reading
Highlighting the benefits of an MDM program from both technical and business perspectives is essential to gaining support for funding. Continue Reading