With the explosion in the Volume, Velocity and Veracity of data that is generated in your organization’s ecosystem, and given the information it stores, data has become an integral and invaluable asset of your organization. It has also become the most vital instrument you need as you pursue your vision of Value-creation for your customers, partners, employees, suppliers and society. Given its significance, efficient management of organizational data can be a potential differentiator between thriving and failing in today’s world.
While Data Management is crucial for today’s businesses, most of the organizations are ill-equipped to derive maximum value from this data. They do not have the necessary experience, expertise or resources for collection, extraction, storage, processing, analyzing or monetizing this data.
In a recent survey, one in three business leaders were not sure if the data they used for making decisions was accurate. Are you absolutely certain that your ‘Data’ is getting truly converted to ‘Value’?
In today’s connected world, it is no longer enough to look at taking Data to Information and Information to Knowledge, and Knowledge to Insight. You need to take a step further and see how you can convert your Insights into Value. How can you ensure this journey of Data is complete? How can you ensure this journey of Data happens hassle-free?
The answers to these questions and more are available at our Data Center of Excellence (CoE). Right from the Acquisition of Data to Governance to Analysis, the Data Management Services CoE at Tech Mahindra excels in helping our customers ease their Data journeys and stops only when the Data is clearly connected to Value.
Few of the services offered by the CoE include:
- Data Governance
- Master Data Management
- Meta Data Management
- Data Quality Management
- Data Acquisition and Integration
- Test Data Management
- Data Archival
- Data Migrations with our in-house built platform UDMF
- Business Stack Migrations
- ERP Data Migrations
- Data Reconciliations
- Data Analytics
- Big Data Analytics
- Business Analytics
- Social Media Analytics
- In memory computing