Data Analysis

 

 

The issue of data quality is a simple one. As IT spending soars and organizations continue to spend a large portion of their IT budgets on business intelligence applications such as data warehousing, customer relationship management, data mining, marketing automation, and sales force automation, the importance of the underlying source of data that feeds these applications has become increasingly higher. Critical business decisions and allocations are made upon what is found in the data. Prices are changed, marketing campaigns created, customers are communicated with and daily operations evolve around whatever data points are churned out by the organizations’ various systems.

What we yearn from our information systems is more efficiency and increased effectiveness in every facet of the organization and that is precisely what systems like business intelligence can deliver, but, with one small catch. The data that serves as the foundation of these systems must be good data. Otherwise we fail before we have begun. It doesn’t matter how attractive the screens are, how intuitive the interfaces are, how high the performance rockets and how automated the processes are; if the data is bad, the systems fail. And when the systems fail, every process, decision, resource allocation, communication or interaction based on the system will have a damaging, if not disastrous impact on the business itself.

DataClean from TCS has been conceptualised and developed to address this business challenge of ensuring good, clean data thus providing a single, accurate and unified view of the customer across multiple sources of customer data.

For further information contact:
      DataClean