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 cut-throat 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 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 transforming the information services business models in the forthcoming years.
Virtusa’s Data management solutions offer master data management (MDM), data integration, data governance, and business intelligence (BI) capabilities to achieve a true 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.
Virtusa’s Data Monetization solutions provide data and analytics on a single platform which seamlessly provides information on customers, operations, billing, and social media across B2C and B2B clients. Information Services providers are increasingly recognizing the fact that they have large volumes of under-utilized data and are looking for meaningful ways to utilize this available data. Our data management strategies and solutions help organizations define the best approaches for data architecture, data quality, governance, visualization, metadata, taxonomy, security, and storage.