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Tuesday, 25 February 2014 14:26

Building the Business Case for Data Quality

Many data quality initiatives fail due to the lack of executive buy-in. Without real numbers or a catastrophic event born from dirty data, many companies struggle with getting their data quality projects off the ground. So, how can you quantify an investment in a data quality project?

Published in Blogs
Tuesday, 24 September 2013 14:28

Data Management Blog

Due to a major shift from a paper-based economy to a digital driven one, the need for data management has significantly risen. Enterprises are reliant on digital data which require an abundance of servers operating 24/7 with additional hardware, data analysts and IT expertise. Do they bring it in-house or contract with an outsourced service?

Published in Blogs
Wednesday, 03 July 2013 20:55

Data Quality Tools Blog

Every now and then, we experience errors in life. Whether we created them, heard about them or are the victim of an error, they are inevitable. We are taught to correct, apologize or learn from mistakes, but how often do we realize the occasional cost associated with these blunders?

Published in Blogs
Friday, 21 June 2013 16:23

Data Driven Marketing Blog

Data is a company’s most important asset. After all, cleansed and accurate data can make money or save money. And what business wouldn’t want data that improves productivity, increases business process efficiency, enhances customer acquisition, and identifies up-sell and cross-sell opportunities?

Published in Blogs
Monday, 03 June 2013 13:26

Data Assets Blog

Data is a company’s most important asset. After all, cleansed and accurate data can make money or save money. And what business wouldn’t want data that improves productivity, increases business process efficiency, enhances customer acquisition, and identifies up-sell and cross-sell opportunities?

Published in Blogs
Monday, 20 May 2013 13:49

Big Data Numbers Blog

“BIG Data” - Is this just another trendy buzzword over the past few years?  We’ve certainly heard this phrase tossed around often enough.  Marketers discuss the importance of capturing information from big data while database engineers struggle to implement the tools to clean and capture all this big data.

Published in Blogs
Monday, 08 April 2013 15:45

Data Quality Language Blog

One man’s idea is another man’s misinterpretation. Depending on how language is used, or whether or not it’s even a similar vernacular to your own could impact any outcome.

Published in Blogs
Tuesday, 05 February 2013 22:12

Customer Analytics Blog

Massive amounts of information flood companies daily - social and digital data, customer email, purchase history, and more. All this information arising from multiple sources must be integrated and governed to ensure it is a TRUSTED source of information. When diligently maintained and properly cleansed, your database is a marketing goldmine.

Published in Blogs
Wednesday, 23 January 2013 16:19

Big Data Blog

Big data is big information. Imagine the snowball rolling downhill in the snow, gathering more snow, and becoming so large that it is now out of control. That is the bird’s eye view of big data. The up close and personal experience, however, is one of stumbling upon a gold mine. There is a wealth of information to be had, but if Business Intelligence (BI) Workers do not know their industry trends, the information may never be mined, used beneficially or simply may be passed up.

Published in Blogs
Friday, 18 January 2013 15:11

Data Quality Facts Blog

If you were born before the mid-1960’s, you might be familiar with the phrase, “All we want to know are the facts, ma’am.” However, most people seem to recall, “Just the facts, ma’am” to be the famous repeated statement on Dragnet which were never actually uttered by Sergeant Joe Friday of the popular 1950’s and 1960’s TV series. The latter statement came from a parody of the television show. It’s funny how easy it is to confuse facts with skewed memories.

Published in Blogs
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DataMentors provides data quality and database marketing solutions. These services are used for a clean, highly granular and accurate 360-degree view of the customer through data validation, transformation, standardization and householding.

Our Data Quality solution integrates data from multiple sources, defines keys which remain constant, sets up and specifies unlimited match rules, identifies who is an individual and what is a business, matches and links data across any number of fields, quickly standardizes names and addresses and generates customized reports. 

Our Database Marketing software is a comprehensive marketing analytics and customer profiling solution that allows you to clearly understand your customers' needs and buying habits. Through data mining and visualization, PinPoint provides you with the knowledge to make pro-active, knowledge-driven decisions.

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