At Hansa Cequity, we believe Analytical Marketing  will be the biggest competitive advantage enterprises will have in the next decade or two. Successful enterprises of tomorrow will be the ones who can organize and leverage customer information at speed ,to optimize their marketing performance, increase accountability, improve profit and deliver growth. Hansa Cequity insights will bring to you trends and insights in this area and it's our way of sharing best practices so as to help you accelerate this culture and thinking in your organization. We call this kind of an approach Analytical Marketing and we will constantly bring in "best practices" for improving your capabilities in Analytical Marketing.

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Is Analytics about "Sexy Insight" or "Effective Decision"?

  
  
  

What's sexy about Analytics -the insight or the decision? Different industries seem to think differently! 

Who values Analytics more? Some industries seem to believe in the power of analytics & actually base decisions on it. A bank decides whether to give a loan or not basis an Application score card or a credit card company spots a fraudulent activity basis analytics & stops the card usage.

A lot of other industries use Analytics for insight generation but are they as good as the Banking & Financial services industry (BFSI) in linking the analytics to action.

But do analytics professionals care about the decision or are they happy just doing the sexy “insight” oriented stuff!

 I have had experience now across sectors & I see some critical differences.

  1. BFSI has developed processes around analytics & has mastered the art of bringing an algorithm close to the point of decision making. Banks & NBFC’s can use data to take effective decisions about whom to lend to & what interest rate to charge.
  2.  In comparison, for many industries Analytics is still the appetizer, it helps you think & get insights but the decisions get taken without an algorithm. That is not to say that you need an analytical algorithm to take every decision but I am sure it can help.
  3. Now imagine if we could pioneer this for other industries like Fast moving consumer goods(FMCG), DTH or Retail or even Auto. As a part of my work at Cequity, we have often done this. But it takes effort to build the processes around it. Imagine if an FMCG company had a Marketing mix simulator basis which they took decisions on their marketing investments basis what analytics throws up as effective!
  4. After all Analytics should help in “Making decisions”!! And wherever one does this, the interesting thing is how the Data & technology expertise is combined with Analytics & effective engagement vehicles (Call centres, Mobile apps, websites) to make this happen.

 

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