Data is a company’s most powerful asset today. It enhances customer experience, innovates ecosystems, minimizes risk, and is monetized to deliver value. Yet, many organizations fail to tap its full power because their data and analytics maturity is low. Rather than using their data to accelerate business outcomes or performance, they struggle with data silos, incorrect data solutions, IT-business misalignment, and a host of data and analytic issues.
Our research proves that data and analytics maturity directly correlates to business performance. The first step towards applying enterprise intelligence to the business is to have a comprehensive view of the problem — one that encompasses people, processes, technologies, and data.
DATOM™ – DATA AND ANALYTICS TARGET OPERATING MODEL.
An enterprise-wide framework to enhance data and analytics programs
Data is a company’s most powerful asset today. It enhances customer experience, innovates ecosystems, minimizes risk, and is monetized to deliver value. Yet, many organizations fail to tap its full power. From data silos to incorrect data solutions, from IT-business misalignment to lack of data visibility, the reasons are numerous and diverse. Given the significant impact, enterprises need to take a comprehensive view of the problem — one that encompasses people, processes, technologies and data.
Since data is an enterprise-level resource, TCS’ unique approach provides a comprehensive view of the people, processes, technology and data and their interdependencies. Our Data and Analytics Target Operating Model (DATOM™ ) offers organizations a customized framework and techniques to ensure the foundation of their data and analytics programs is set up to serve any business needs.
The solution assesses an enterprise’s data maturity level by how its data is managed and used across the organization, line of businesses, or regions. It identifies gaps in the existing data and analytics programs and develops specific approaches for plugging them. The outcome is a prescriptive plan to simplify operating models, set up data governance models, build technology patterns and architectures, and create resulting analytics capabilities to ensure data and analytics programs truly drive business growth.
Helps organizations with a 360-degree view of their data and analytics needs.
Helps organizations assess their data and analytics maturity across key result areas.
Provides IT and data executives with a tool to measure the progress of their data and analytics journey.
Identifies the gaps and root causes of the prevailing challenges before organizations.
Enables the adoption of leading practices, processes, techniques, and solutions depending on the context.
Addresses the development of service delivery, digital governance, and business roadmaps.
Highlights patterns to provide insights and help customers envision which is the best fit.
Learn About Data & Analytics Maturity and Business Effectiveness from CIO TV
On CIO TV, Professor Erik Beulen, Tilburg University / TIAS School for business and society, shared learnings from the “HPDO: Demonstrate Data-Driven Business Behaviour” study he developed in partnership with TCS. He discusses how data and analytics maturity impacts the business’ ability to disrupt and avoid disruption. He also shared ways data-driven business behavior pays off in reaching a high level of data and analytics maturity. Learn more about the benefits of data and analytics maturity.
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