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Innovation Journal - Cognizant

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REWIRE - FASTr<br />

Deliver insights on physicians<br />

Define optimal sales force structure and size<br />

Identify the right product mix<br />

Set business rules that improve targeting efficiency<br />

The team at <strong>Cognizant</strong>’s Enterprise Analytical Practice applied<br />

innovation tools such as brainstorming, interviews, questionnaires and<br />

observation methodologies to collect insights and ideas. They<br />

categorized all the information and ideas into two broad categories:<br />

Generating a target plan is a very long process. Moreover, there are<br />

location-specific tactical constraints and other business rules that the<br />

client needs to adhere to while planing for promotion. It was important,<br />

Nitin thought, to strike the right balance between the promotional<br />

strategies and the operational mandates and try to bring out the<br />

maximum ROI.<br />

Finally, Nitin briefed his team on the challenges faced by this pharma<br />

client and challenged them, “We need to help our customer make the<br />

right decisions in the entire brand lifecycle. This entire process should<br />

take less time than the current eight to 12 weeks.”<br />

• “Make–to-stock” re-defines the way different data inputs from<br />

existing systems and targeted business rules plug into a proposed<br />

platform that will generate insights and relevant call plans for targeted<br />

sales.<br />

• “Make-to-order” solutions involve streamlining existing processes to<br />

make them agile enough to take targeted sales requests with minimal<br />

operational lag.<br />

<strong>Cognizant</strong>’s Enterprise Analytics Team presented both approaches to<br />

the client. Comparing both options, the client executives opted for the<br />

make-to-stock option, with some make-to-order benefits integrated<br />

into it.<br />

The team decided to focus their efforts on creating a platform that<br />

could do the following:<br />

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