Monthly Archive for December, 2009

The value of WHERE

Published on December 2, 2009 in Data Quality, Geocoding and Uncategorized. 0 Comments Tags: , , , , , .

Did you know that approximately 70 percent of all business data contains a location component? As the amount of location-related data increases, organizations are finding new ways to capture and analyze this information to strengthen customer relationships and make smarter business decisions—decisions that can plan an important role in your future success.

This month, we are pleased to announce that David Loshin, president of Knowledge Integrity, Inc., will offer his insights and perspectives through a much-anticipated webinar:

Location Intelligence and Data Quality: Gain Maximum Value from Your Business Data

Thursday, December 17, 2009 @ 11AM ET.

There is no cost, but you must register.

Like all data-related procedures, the quality of any location-oriented analysis is dependent on the quality of your underlying data. In this webinar, you’ll learn the degree to which data quality management should and can be integrated with location intelligence and spatial analysis. By looking at the types of data used for spatial analysis and location intelligence, you’ll see what data quality and data cleansing practices can deliver more precise results and more reliable decisions.

Registration is required to join this event, which is brought to you with compliments by Pitney Bowes Business Insight.  Please take a moment to register today.

The marriage of data quality and governance

Published on December 2, 2009 in Data Governance, Data Quality and Data Stewardship. 0 Comments Tags: , , , , .

In business, you make the best decisions when your data reflects reality.

This applies to the call center rep who needs to understand the scope of your relationship with a customer. The manager who is looking to assess the risk of a pending deal. And the executive who must sign-off on a multi-million dollar investment.

In a recently published article, our own data quality expert Navin Sharma writes: every corporate decision and operation relies on the quality of the organization’s underlying data. 

How true.  Often, however, we hear about organizations who fall short in their data quality efforts because the fail to spell out clear guidelines for data governance.  To avoid this trap, take a moment to read Navin’s article, The role of data governance in the enterprise.

Here, you can learn more about the three fundamental best practices to ensure that your data is complete and up-to-date:

 1. Data profiling

2. Data cleansing

3. Data governance

Poor data quality can cost organizations millions of dollars a year, and as many expect the volume of data managed by businesses to double over the next 18 months, there’s never been a better time to review your approach.  Once you read Navin’s article on best practices, be sure to come back and learn more about the many ways we can help you improve data management.