Improve Matching by Avoiding Apple to Orange Comparison
Recently Henrik Liliendahl Sørensen (@hlsdk) wrote a blog post where he discusses the data matching challenges involved while dealing with small scale business owners. Unlike individual customers and...
View ArticleData Quality Wakes Us Up in the Night
As we wind up Q1 2012, I am very happy, excited and at the same time exhausted with all things this year has bought in so far. I have been working with many customers this year; some of them are just...
View ArticleClik here to view.
Five Key Factors in Architecting a Master Data Solution
Originally published on Hub Designs Magazine May 2012 Over the last few years, Master Data has been recognized as one of the most important types of business information to be managed. Organizations...
View ArticleDeceased People Have Long Names
Attributes are the lowest level of data that give us knowledge and insight about customer data. There are attributes of specified length and type, simple and complex fields, lookup tables (or code...
View ArticleClik here to view.
Dude, Why Is Your Name So Long?
Seems like a good punch line for my life! If you have one of those long names that people are always struggling to pronounce and spell, welcome to my world. I frequently collaborate with my colleagues...
View ArticleClik here to view.
Data Quality Chills Are Worst Than Wind Chill
In his @openmethodology blog post, Jim Harris (@ocdqblog) explained how the recent cold wave created havoc in North America. He compared wind chill factor to the chill factor associated with data...
View ArticleClik here to view.
Data Credibility: A Key Data Quality Dimension in the Big Data Era
Recently, there’s been a great deal of discussion within the information management industry about data quality. This discussion has gone beyond simply talking about what data quality means, to cover...
View ArticleClik here to view.
Holistic Data Quality More Relevant For Big Data
In recently concluded Gartner MDM, Andrew White in his keynote said – “Only 40-50% companies are methodical in their approach to success with their information management”. Andrew emphasized on...
View ArticleClik here to view.
Make AI “Intelligent” Again
The term “artificial intelligence” (AI) was first coined in 1956, at a conference at Dartmouth College, in Hanover, New Hampshire. Since then, AI has had its ups and downs. The period between 1974 –...
View ArticleThe Importance of Data Sharing in Organizations
According to Gartner, by 2023, organizations that promote data sharing will outperform their peers on most business value metrics. Gartner says, data and analytics leaders who share data externally...
View Article