Big data analytics is one of the most potent tools in any organization’s customer engagement arsenal: Prasad Mamidi

With the emerging role of chief data officers, how is the role of the CIO changing and is there a need for CIOs to adapt to more business functions?

For successful adoption of big data, cooperation between leadership teams across disciplines is crucial. The focus of CIOs today is to identify opportunities to streamline business processes through investments in data management. The CIO must recognize the importance of managing customer expectations at each stage of the lifecycle which in turn must spur the deployment of IT tools and processes to garner deeper customer insights. Owing to sheer growth in volume, velocity, and variety of data, it becomes impossible for traditional desktop analytics tools to analyze it. Thus, enterprises need to invest in advanced analytics that can deduce, compress, and store this data to give fresh business insights. Finally, ensuring requisite skill set in the organization to derive gains from big data is another key battle that CIOs need to win.

How are you making it economical to store the huge amount of data being generated? Where will large enterprises like you be investing for enterprise storage, going ahead?

Tata Teleservices has prioritized investment in an adaptive technology infrastructure to successfully meet the demands of IT consumerization and the rapid increase in data. Our datacenter facility in Hyderabad is at the heart of the company’s business. The predominantly captive facility became operational in 2012 and covers a 27,000 sq ft area. The facility handles all critical applications and is one of the few tier-3 datacenters in India. We have also successfully deployed big data solutions to manage key operational requirements. Big data plays a crucial role in addressing legal and regulatory requirements which are mandated for longer retention periods. Given the growing volume of data and the time sensitivity attached to such requirements, organizations usually look to procure additional storage and servers incurring high expenditure. As an alternative we deployed big data solutions which were very cost effective and also provided timely information.

There are other areas of business which benefit from these tools and the concept is now being extended to marketing, customer, and network management. We expect to see a spiralling trend in the deployment and adoption of big data analytics for business operations, primarily in customer experience management.

 

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