Senior Vice President, Data and Analytics Service Line
Customer data is essential for the success of modern enterprises. Business leaders across every industry understand this fundamental truth. Yet, the reality is clear—many organizations are missing the opportunity to unlock the immense value hidden within their customer data. I recently helped shape a research study from the Virtusa research center, which shows that achieving mastery over data, leveraging AI, and structuring a global data office closes the gap between customer centricity and profitability. The not-so-surprising punchline: only 14% of businesses effectively harness the power of their customer data.
For enterprises looking to propel their organization forward, the question isn’t whether they should use customer data to its fullest potential—it’s how fast they can make it happen. This article provides actionable takeaways for modernizing, managing, maximizing, and monetizing customer data to fuel growth, innovation, and exceptional customer experiences.
Meeting customer needs as they arise is no longer enough to stay competitive. To thrive, businesses must become hyper-focused on what customers want today and actively anticipate their needs for tomorrow. Data-driven organizations don’t merely react; they predict, innovate, and turn insights into personalized customer experiences.
Failing to capitalize on available data is like leaving money on the table. According to Virtusa's research, organizations that excel at using customer data saw an 18% boost in revenue, compared to just 4% for companies with weak data practices. The stakes couldn’t be higher.
But achieving this level of success requires a shift in how leaders approach, analyze, and act upon their data.
Transforming customer data into a strategic advantage starts with four fundamental pillars.
The first step is establishing the infrastructure needed for scalability. Upgrading outdated systems, migrating to the cloud, and deploying modern data architectures lay the groundwork for success.
Leading organizations create datasets as a product for ready consumption by various value streams, such as fraud detection, sanctions screening, chatbot operations, and location-based insights, to name a few. One of Virtusa’s large pharmaceutical clients automated their site audit by using real-time location data and NLP to understand and process necessary evidence for clearing clinical data audits.
Effective data governance isn’t an IT initiative—it’s a business imperative. Without proper systems, insights can become fragmented or unreliable, harming organizational decision-making.
Virtusa’s research highlights that companies with strong governance structures significantly outperform their peers. By enforcing consistency and structured workflows, these leaders drive collaboration and actionable insights across units. For a large telecommunications company in Europe, Virtusa enabled a state-of-the-art smart governance initiative. As part of this initiative, Virtusa addressed one of the longstanding challenges in governance: human fatigue. By automating policy setup and administration, Virtusa ensured adherence to policy guidelines and smoothly incorporated frequent policy changes. Additionally, policy audits were facilitated as part of the process, thereby meeting data security and regulatory requirements.
Having data isn’t enough. The true advantage lies in transforming data into meaningful, actionable insights that influence real-time business decisions.
Virtusa is currently collaborating with a healthcare provider to improve its call center experience. This initiative focuses on agent training, reducing call duration, and improving customer satisfaction. A generative AI-based solution was proposed, which screens calls before routing them to a live agent. The system retrieves the necessary background information and presents it to the agent handling the call. Additionally, the incoming query is converted to text using a large language model (LLM), and a search is conducted in a master database to find the most likely answer. This response is displayed on the agent's screen, thereby improving the quality of the answer and equipping agents to handle a variety of query types effectively. Currently, we are managing nearly 2,000 group policies and scaling up to 16000 group policies, serving millions of policyholders.
AI-powered insights reduce operational costs by 29% and accelerate data transformation by 68%, giving businesses a sharp competitive edge.
The most forward-thinking companies are using data to create entirely new revenue streams, products, and business models.
Virtusa can build and train models using curated datasets that are cleansed, trustworthy, and equipped with necessary guardrails. This approach enhances cross-selling and upselling opportunities, improves customer experience, increases retention, scales operations, and ultimately boosts revenue through targeted campaigns.
The leaders excelling in today’s business environment aren’t just using data—they are redefining the rules with it. Transforming your company into a data-driven enterprise requires a cultural overhaul, where every decision centers on intelligent insights. To succeed, it’s important to adopt a product manager mindset. Viewing data as a product ensures that your organization actively nurtures it, promotes its adoption, and maintains its long-term value. Additionally, this perspective allows for a typical product life cycle, including planning for retirement based on utility.
Data only delivers value when acted upon. Businesses that consistently drive innovation and customer outcomes are unlocking the full potential of shared, actionable insights.
Your customer data is your greatest untapped asset. Are you ready to unlock its full power? Start by modernizing your infrastructure, centralizing governance, and fostering a customer-obsessed, data-driven culture.
For deeper insights and practical case studies, download Virtusa’s report, "Beyond Customer Obsession: Engineering Data Mastery for What Comes Next." Discover how your organization can build the foundation to achieve true data-driven transformation.
Read the full report now
Senior Vice President, Data and Analytics Service Line
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