Announcing! The Big Data & Integration Summit NYC 2013

Actian Corporation and Emprise Technologies are co-hosting The Big Data & Integration Summit on September 26, 2013 in NYC and invite CIOs and IT Directors to attend and join in the conversations. #BDISNYC13 This event is free and features a fast-paced agenda that includes these topics and more: 

Register Now for the Big Data & Integration Summit NYC 2013
Register Now for the Big Data & Integration Summit NYC 2013

Additionally, attendees will join our panel of experts for a round-table discussion on Big Data & Integration challenges facing CIOs now. Talk with Actian Chief Technologist , Jim Falgout, about Hadoop and Big Data Analytics and more.

As CEO of Emprise Technologies, I’ve seen just about every cause there is for integration project failure. Often, there is more than one issue slowing down the project, sometimes a confluence of events – a periodic “perfect storm” develops, which derails integration projects and causes failure. I’m teaming up with Actian’s Chief Technologist, Jim Falgout to share the secrets we’ve learned for ensuring data integration and big data project success.

Don’t miss out on the opportunity to be part of the Big Data & Integration Summit NYC 2013. Register Now! Do you have any topics to suggest for the Summit? Provide us with your comments below. This is YOUR Summit!

Summit Agenda

Register Now for the Big Data & Integration Summit NYC 2013
Register Now for the Big Data & Integration Summit NYC 2013

 

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“The Cost of Poor Data Management”

It is surprising that data quality is still a concept that is viewed as a luxury, rather than a necessity. As an unapologetic data quality advocate, I’ve written white papers and blog posts about the value of  good data management. It takes the efforts of many to change  habits. In her blog post, The Costs of Poor Data Management, on the Data Integration Blog, Julie Hunt breaks down the impact data quality has on business.

Here’s an infographic on the cost poor data quality can have on business.

Global research - Bad customer data costs you millions

She points out that the areas of data quality deserving the greatest focus are specific to each organization. If you read my post, “Avoiding Data Quality Pitfalls”,  you know that I’m a proponent of good data governance. Update early and often. My top four suggestions are:

  • Translation Tables
  • Stored Procedures
  • Database Views
  • Validation Lookups, Tables, and Rule

What are yours? Read Julie’s post, and send me your comments.