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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!

In a recent keynote address, Marc Demarest talked about the need for increased decisioning associated with “big data”.  Whether it be complex event processing (CEP) or streaming analytics, the ability to make timely decisions on the analysis of “big data” sets is limited when you place a human element in the critical path.  Not only will bottlenecks occur, but more than likely the data will move so fast that no decisions will be made.

Rules to Live By

Being able to automate the decisions that need to be taken from “big data” analysis is going to be the key for many industries.  Business intelligence/data warehouse (BI/DW) professionals will not be able to place alarms or workflows before a human analyst or operational team.  This will come from the fact that 8am-6pm time windows will not be sufficient for the decisions that need to be made and the fact that not all human interactions will know what to do or the extent of what needs to be accomplished.

HPLogoSteve Pratt of HP’s Business Intelligence Solutions group presented at the recent TDWI Deep Analytics for Big Data Solution Summit for the need to automate decisions in the healthcare industry.  His reasoning was that the complexity of healthcare decisions and the need to make the timely decisions at the point of interaction was key to improving the quality of healthcare and the reducing the cost.  Improved quality would come from leveraging standard practices and by providing the proper care “further up the food chain” and thus eliminating rework later on.

Exemplifying these concepts a common situation in pharmacies.  With each prescription that a pharmacist fills, analysis and decisions need to be made about standard medical practices (ie drug interactions) and standard business practices (ie payments, deductibles).  By automating this analysis at the point of sale, healthcare can become safer and less expensive. 

However, this does not come without cost.  The ability to institute these decisions is not as simple as implementing a database trigger.  The implementation is more than an “if-then” statement.  Often the automated analysis and related decision is more than a single action path.  Issues of this complexity take more time than other types of analysis.  Below is Pratt’s analysis of where automated decisions fit on a time to value graph.

HPAutomatedDecisioning

Telecom Take

For telecom organizations, the stakes are not same as they would be in healthcare.  However, automated decisions on “big data” have similar needs.  Both telecom costs and revenues will be impacted.

Network health in the future will have greater importance as the implementation of enterprise level service level agreements (SLA) move toward consumer relationships.  Both fiber-to–the home (FTTH) and wireless connectivity may soon have up-time/connectivity obligations as more and more aspects of daily life depend on IP-based connectivity.  Imagine the issues associated with FTTH downtime on IPTV products during special events like the Super Bowl.

Product pricing and availability are already moving toward speeds that humans have hard time comprehending.  In some African nations, pre-paid wireless revenue models are moving toward a per-tower pricing structure.  Imagine attempting to control, or even worse validate, call pricing at the tower level using primarily human based decision controls.

Which decisions in your telecom environment are managed with automated decisions?

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


Posted October 6, 2010 6:00 PM
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