Guiding Principles for Data Enrichment
The data integration process is traditionally thought of in three steps: extract, transform, and load (ETL). Putting aside the often-discussed…
Customer Experience Innovation: Aligning Business with Customer
Responsive and accurate support for customer interactions points the way for the kind of management that organizations can apply to…
Turning Decision Making Into a Game
Organisations are more complex today than ever before, largely because of the ability that technology brings to support scale, centralisation…
SAS Coding: Scattered Data Might Need CPORT Procedure Help
My computer is a hot mess! I have datasets and code everywhere. I’m serious … you name it … there…
Enterprise Data Trends to Watch for in 2014
Technology and data can make or break a business. With the right management, enterprise data is a valuable tool and…
The Opportunities and Challenges of Big Data
Data management has its difficulties, and companies today are finding this out the hard way as they face increasing challenges…
How the Financial Services Industry Should Use Big Data to Regain Trust
If there is any industry that can benefit from big data, it is the financial services industry. Of course the…
What Identity Means: Implications for Customer Data Management and Integration
Lately, I’ve been bothered by the word identity. Seems I run into it all the time in reference to identity…
Obstacles to Personal Genetic Testing in the U.S. and Abroad
Biotech company 23andMe offers rapid and relatively inexpensive personal genetic testing, allowing individuals to send in saliva samples and get…
Balanced Teams Necessary for Big Data Initiatives
Due to the amount of time that people in the tech and enterprise worlds spend talking about big data and…
