Tag Archives: MDM

Social Media Monitoring with CEP, pt. 2: Context As Important As Sentiment

When I last wrote about social media monitoring, I made a case for using a technology like Complex Event Processing (“CEP”) to detect rapidly growing and geospatially-oriented social media mentions that can provide early warning detection for the public good (Social Media Monitoring for Early Warning of Public Safety Issues, Oct. 27, 2011). A recent [...]

ANNOUNCING! The 2012 Data Virtualization Architect-to-Architect & Business Value Program

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, [...]

What it Takes to Be a Leader in Data Virtualization!

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, [...]

Informatica Positioned in the Recent Gartner Magic Quadrant for MDM

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 – [...]

Reading The Tea Leaves: Predictions For Data Quality In 2012

Following up from my previous post on 2011 reflections, it’s now time to take a look at the year ahead and consider what key trends will likely impact the world of data quality as we know it. As I mentioned in my previous post, we saw continued interest in data quality across all industries and [...]