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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!

As larger data sets start to take root across various industries, it is going to be important to put those “big-data” results into a more manageable picture for end users and analysts.  Many of the existing “big-data” end users are already familiar with the data sets and how they wish to look at those data sets.

However, the true value of “big-data” or analytics on “big-data” is going to be presenting the information to the end user who may still be thinking about analytics in “small-data” ( … or relatively small data… ) terms.

For example, new “big-data” analytics provides a “richness” of information and an increase of the dimensions that “small-data” systems cannot match.  Yet, many users in marketing or product management may not understand how to make the leap from “big-data” aggregates to “big-data” detail because they don’t have the context of the “big-data” detail(s) they are looking at.

Mixing and Match with Big-Data

The twin challenge associated with the ability to handle and analyze “big-data” is the ability to put that analysis into context.  “Big-data” often refers to senor, geographic or application data.  However, not many people in end user/analyst communities have the ability make the leap from those “big-data” details to an end “so what picture?”.

This week Tableau announced the next edition to their business intelligence / data visualization product line – Tableau 6 – which supports the ability to “blend” data sets for end user visualizations that will tell the story that marketing and product management will understand and have that “AHA!” moment.  While the data visualization is nothing “new”, the ability to perform with “big-data” data sets will be the key aspect.  If the visualization takes too long, the marketing analysts and product management teams will lose interest and use less detailed analysis tools. 

Telecom Take

As telecom data rockets further and further for social media, location based services and overall smartphone usage; “big-data” is going to hit head long into telecom BI/DW teams.  And while those teams are struggling with the ingestion of the data, end users are going to demand analytics and visualization tools that don’t hold back their “day jobs” from being completed…

Using data visualization tools, like Tableau’s new offering, will offer the ability to match the potential of the data with promise of the analysis. 

How is your telecom BI/DW team positioned to meet end user requirements for visualizing big-data? Strictly using aggregates? or big-data detail?

Post your comments below or email (John.Myers@BlueBuffaloGroup.com) / twitter (@BlueBuffaloGrp) me directly.


Posted November 10, 2010 3:00 PM
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