Next-gen Analytics for the Information Services Industry

Over the last few decades, Information Services businesses have generated all their revenues from advertising. Prior to that, their key revenue contributions came from either subscription or newspaper retail outlets. Today, their business models have completely transformed, reinventing themselves. Digital disruption has resulted in continuously evolving customer preferences within an already cutthroat competitive industry.

To sustain in the constantly evolving environment, Information Services enterprises need to understand customer insights and buying patterns effectively. By doing so, they will be able to proactively offer services which are contextual as well as customized as per the individual customer’s requirement. Leveraging next-gen analytics, Information Services organizations can understand their customers’ buying patterns, information consumption trends and venues, and their overall life cycles.

Advanced analytics platforms can help Information Services businesses effectively cater to their customers’ requirements. Analytics has the potential to predict the next-best action and shall play a key role in digitally transforming the Information Services business models in the forthcoming years.

Our Solutions

Subscriber Management

Virtusa’s data management solutions offer master data management (MDM), data integration, data governance, and business intelligence (BI) capabilities to help you experience an in-depth 360-degree view of your subscribers. 

This integrates customer information across multiple channels, systems, devices, and products while enabling enterprises to improve the interaction experience, increase cross-selling, drive customer loyalty, and improve retention.

Big Data

Virtusa’s Data Monetization solutions provide data and analytics on a single platform that seamlessly provides information on customers, operations, billing, and social media across B2C and B2B clients. 

Information Services providers increasingly recognize the need for exploring ways to tap large volumes of under-utilized data that can transform businesses. Our data management strategies and solutions help organizations define the best approaches for data architecture, data quality, governance, visualization, metadata, taxonomy, security, and storage.

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