by David Loshin on January 31, 2012 – 11:42 am
Coincidentally, my company is involved with a number of different customers who are reviewing the quality criteria associated with addresses. Each scenario has different motivations for assessing address data quality. One use case focuses on administrative management – ensuring that things that need to happen at a particular location have an accurate and valid address. A different use case considers one aspect of regulatory compliance regarding protection of private information (since mail delivered to the wrong address is a potential exposure of the private information contained within the envelope). Another compliance use case looks at timely delivery of hard copy notifications as part of a legal process, requiring the correct address. Read More »
by Ash Parikh on January 25, 2012 – 7:30 am
Today, agility and timely visibility are critical to the business. No wonder CIO.com, states that business intelligence (BI) will be the top technology priority for CIOs in 2012. However, is your data architecture agile enough to handle these exacting demands?
In his blog Top 10 Business Intelligence Predictions For 2012, Boris Evelson of Forrester Research, Inc., states that traditional BI approaches often fall short for the two following reasons (among many others):
- BI hasn’t fully empowered information workers, who still largely depend on IT
- BI platforms, tools and applications aren’t agile enough Read More »
by Ash Parikh on January 23, 2012 – 10:18 am
If you haven’t already, I think you should read The Forrester Wave™: Data Virtualization, Q1 2012. For several reasons – one, to truly understand the space, and two, to understand the critical capabilities required to be a solution that solves real data integration problems.
At the very outset, let’s clearly define Data Virtualization. Simply put, Data Virtualization is foundational to Data Integration. It enables fast and direct access to the critical data and reports that the business needs and trusts. It is not to be confused with simple, traditional Data Federation. Instead, think of it as a superset which must complement existing data architectures to support BI agility, MDM and SOA. Read More »
by Ravi Shankar on January 20, 2012 – 11:35 am
Gartner recently published its annual Magic Quadrant for Master Data Management of Customer Data Solutions, which “positions MDM of customer data solution vendors (and their products) on the basis of their Completeness of Vision relative to the market and their Ability to Execute on that vision.” The growth of MDM market has been phenomenal – $1.6 billion in 2011, a growth of 21% from 2010, and projected to grow by the same rate to $1.9 billion in 2012. Read More »
