Blog: John Myers Subscribe to this blog's RSS feed!

John Myers

Hey all-

Welcome to my blog. The fine folks at the BeyeNETWORK™ have provided me with this forum to offer opinion and insight into the worlds of telcommunications (telecom) and business activity monitoring (BAM). But as with any blog, I am sure that we (yes we... since blogging is a "team sport"...) will explore other tangents that intersect the concepts of telecom and BAM.

In this world of "Crossfire" intellectual engagement (i.e. I yell louder therefore I win the argument), I will try to offer my opinion in a constructive manner. If I truly dislike a concept, I will do my best to offer an alternative as opposed to simply attempting to prove my point by disproving someone else's. I ask that people who post to this blog follow in my lead.

Let the games begin....

About the author >

John Myers, a senior analyst in the business intelligence (BI) practice at  Enterprise Management Associates (EMA). In this role, John delivers comprehensive coverage of the business intelligence and data warehouse industry with a focus on database management, data integration, data visualization, and process management solutions. Prior to joining EMA, John spent over ten years working with business analytics implementations associated with the telecommunications industry.

John may be contacted by email at JMyers@enterprisemanagement.com.

Editor's note: More telecom articles, resources, news and events are available in the BeyeNETWORK's Telecom Channel. Be sure to visit today!

In the last 24 months, there has been a trend toward the acquisition of analytical databases to augment an established DBMS’ existing product line.  For example, the following mergers and acquisitions were compiled by Doug Henschen in April:

  • EMC buys Greenplum July 2010
  • IBM buys Netezza November 2010
  • Hewlett-Packard buys Vertica March 2011
  • Teradata buys Aster Data April 2011

Many of these acquisitions were driven by the reality that you really need to use the correct DBMS architecture for the right job rather than taking a one size fits all approach.  However the question then becomes how do you bring that data together once it resides on those separate platforms?  One solution is to use the concept of

CompositeThis week Composite will release its next generation platform for data virtualization: Composite Information Server 6.0.  This platform allows organizations to make data decisions based on the best platform for the job rather than pushing all data to a particular platform.

Bring Big Data into the Fold

BigDataVirtualizeOne of the best uses of the enhanced platform is the ability to virtualize big data sources like Hadoop, Netezza and SAP into a seamless environment.

Using the Composite “optimizer” functionality, organizations can take advantage of the relatively new big-data processing environments without delaying the “time to value” of those new data sources into existing implementations. This will be particularly important as organizations begin to ingest data sets like social media interactions; RFID sensor information; and other big-data sources that haven’t matured sufficiently to including in existing data environments, but still have excellent value to the organization.

Telecom Take: Use the Right Tool

DataVirtualizeAs telecom organizations make moves to integrate multiple data sources to enable their “single view of the customer” associated with customer experience management as well as spreading customer support to centralized call centers; telecoms will need a much more robust ability to have consistent and timely data spread across those locations.

For customer experience management, telecoms will need to have proper data virtualization to avoid the age old question from calls to the call center:

“Shouldn’t you already know about my orders and account information?”

For call centers, to provide flexible access to similar data sets across operational (ie billing), analytical (ie fraud management) and external data sources (ie credit reports); a robust virtualization environment will allow for flexible scheduling of call center resources not only in one location but across many without customers having to hear:

“Sorry I don’t have that in my system…”

All in all, I believe that the continued advances in the Composite virtualization suite make it one of the better options for telecoms to overcome the legacy (network, billing) and ‘next generation’ (social, geo-spatial) data silos that seem to impact telecom organizations more than others.


Posted June 6, 2011 8:22 AM
Permalink | 1 Comment |

1 Comment

These diagrams really help to show a more visual representation of data virtualization

Leave a comment

    
Search this blog
Categories ›
Archives ›
Recent Entries ›