Analytics : What's the Right Delivery Model?

Source : nathenaswell.com

With technology moving to age of IOTs, the BOTs and driverless cars have become reality. There's one stream of business called "analytics" which is keeping up with the pace and unfolding new dimension with each passing day. If we talk of Analytics today, you will see completely new discussion points from what it used to be 4-5 years back. Big Data, Machine Learning, Artificial Intelligence are the new normal.


Now the question arises what's the perfect model? Which model shall an org move into?
During my recent interactions with industry experts, there's one shared predicament faced by majority of organizations. Organizations today are besieged to resolve the limited Business understanding in folks who run analytics. They are good in what they do (i.e. analytics) however it leads to zero business impact as they are unable to comprehend what's desirable by business stakeholders and whether the models/recommendations can really be implemented either in “real” time or in “vital” time.

The sensitivity of the business issue, relevance of the solve, priority of the issue to business and so on are few fundamentals where off shore analytics fail to deliver while SILO models work well.
 
However, when one looks at synergies, optimization, cost savings and knowledge sharing perspective SILO model falls flat.  
 
I started evaluating pros and cons of both the models and was unable to figure out whether SILO model holds an edge or Off-Shore.
 
No organization can afford to (i) lose synergies, (ii) knowledge of best of breed problem solvers and (iii) data scientists on one hand and can't afford to hire high skilled (High Cost) data scientists for every role.  
 
So the Golden Solve is, it's not about either/OR it has to be BOTH/AND. Any organization who wants to develop cutting edge analytics that serves the business on the go and maximize the impact on Top/Bottom line needs to have both models running in parallel. Analyst sitting with business can decided basis criticality and horizon of solve whether the same needs bigger solve or he himself can manage.

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