Wipro Uses Analytics to Improve On-Time Fulfillment
Ramesh Nagarajan, CIO, Wipro deployed an analytics solution that uses data vizualitaion and BI tools to create high-end descriptive, diagnostic, and predictive analytical reports.
Anup Varier Dec 09th 2013

As one of the largest IT, consulting, and outsourcing companies in India, Wipro needs to consistently grow its client base without compromising on the service it renders to its existing customers.

To do that, the company’s sales team needed near real-time customer information that would enable timely action while its workforce management group required better visibility into proposals to manage the manpower life-cycle and the available talent pool.

It is to tackle these multiple challenges that the enterprise analytics solution was deployed at Wipro under the stewardship of its chief information officer, Ramesh Nagarajan. As a business intelligence solution, enterprise analytics uses data visualization and business intelligence tools to create high-end, descriptive, diagnostic, and predictive analytical reports for business functions like the workforce management group, mission quality, finance, and sales departments.

It empowers the business to take better and quicker decisions

“It’s a comprehensive analytic solution with self-service mechanisms that provide near real-time data, which aids in simulation, prediction, and optimization. It also empower the business to take better and quicker decisions,” says Nagarajan.

These are disseminated through various modes and the user can view them through e-mails, live dashboards, mobiles, and portals.

“The reports also allow the user to drill down to the level he/she wants and get the required sliced and diced views,” adds Nagarajan.

Thanks to the predictive, descriptive, and diagnostic analytics capabilities, over the last one year, the organization’s sales team saw a considerable increase in deal-win ratio involving key contacts. It also witnessed an increase in successful conversion of prospects into new customers along with better process compliance.

Live account dashboards delivered by processing multiple channels of demand data—that give workforce management groups, project managers and delivery managers a better visibility on open positions and proposals—has helped in improving on-time fulfillment. Predictive capabilities like the 13-week rolling forecast has also helped reduce overdue demands by 50 percent.

Thanks to the predictive, descriptive, and diagnostic analytics capabilities, the organization's sales team saw a considerable increase in deal-win ratio involving key contacts.