From Data to Business Value: Turning Data into a Powerful Business Driver

In an era of Digital Transformation, data has become a critical resource for understanding customers, shaping strategies, and driving business growth. However, transforming data into actionable insights and using those insights to drive decisions that deliver tangible business results is crucial. According to the IBM Institute for Business Value, only 26% of Chief Data Officers (CDOs) are confident that their organizations are sufficiently prepared with the data needed to generate revenue from AI1. This highlights that the challenge facing organizations is not simply about "having data," but about building data readiness and turning data into tangible business value. Today, OPEN-TEC (Tech Knowledge Sharing Platform), powered by TCC TECHNOLOGY GROUP, explores the journey from "data" to "business value"— from building a strong data foundation and analyzing data to applying insights to drive meaningful business outcomes.

Thursday 27 August 2026 11:31
From Data to Business Value: Turning Data into a Powerful Business Driver

More Data Does Not Necessarily Mean Better Use of Data

Today, organizational data is distributed across multiple systems and departments, ranging from customer, sales, and marketing data to operational data. When these data sources cannot be effectively connected, organizations may face data silos, resulting in fragmented views of information and limiting their ability to use data effectively to support decision-making. Research from the IBM Institute for Business Value highlights that high-quality data, advanced data analytics and AI capabilities, and systematic data governance are all critical factors in enabling organizations to turn data into business value1. Therefore, creating value from data should begin with a strong data foundation, covering data quality, data integration, data architecture, and data governance. These elements help ensure that data is accurate, complete, up to date, and ready for use. When data from multiple sources can be systematically integrated and managed, organizations can reduce data inconsistencies and create a more reliable foundation for analysis.

From Data to Insights That Address Business Needs

Data alone may tell an organization "What happened," but effective analysis should go further by helping answer "why did it happen?" and "what should we do next?" For example, analyzing purchasing data alongside customer behavior, timing, and sales channels can help organizations identify high-potential customer segments, emerging demand, and opportunities to increase sales. Similarly, operational data can help identify bottlenecks, reduce costs, and improve process efficiency. According to McKinsey, organizations seeking to use data to drive initiatives and strategies need data that is easily accessible, high quality, and aligned with business objectives. Effective data governance helps establish the principles and processes needed to ensure these characteristics?. With a strong data foundation in place, technologies such as Business Intelligence (BI), Data Analytics, Machine Learning, and AI can help transform large volumes of data into actionable insights.

However, technology selection should not begin with the question, "Which tool is the best?" Instead, organizations should first ask, "What business problem are we trying to solve, and what business outcome do we want to achieve?"

From Insight to Business Value

The true value of data emerges when insights are translated into decisions and actions—whether by increasing revenue, reducing costs, improving operational efficiency, or enhancing customer experience. Being a Data-Driven Organization does not mean relying solely on data for every decision. Rather, it means combining data with experience, expertise, and business context to enable more informed decisions and measurable outcomes. For organizations looking to establish a strong data foundation and unlock the value of their data, TCC Technology (TCCtech) provides end-to-end Data Management services, from Extract, Transform & Load (ETL) and Data Hub solutions for Data Warehouses, Data Marts, and Data Lakes to Data Analytics & Business Intelligence. These capabilities help organizations manage, integrate, analyze, and leverage data systematically to support better business decisions.

Ultimately, turning data into business value is not about having the most data or adopting the most advanced technology. It is about connecting Data, Technology, People, and Business Strategy.

References

  1. IBM Institute for Business Value. (2025). The 2025 CDO study: The AI multiplier effect. IBM.
  2. Petzold, B., Roggendorf, M., Rowshankish, K., & Sporleder, C. (2020, June 26). Designing data governance that delivers value. McKinsey & Company.