OVERVIEW

Proper data management can solve many business challenges of an enterprise. Because when data is converted into actionable insights for strategic business decisions, it propels growth. But the challenges of successful data management are numerous and vary from technological to conceptual and managerial. Ballooning big data has put the companies in the quest for the most efficient way to handle, store, access and eventually discard corporate information. Plus, there is increased regulation, influx of data from disparate sources compounded further by the constant threat perceptions and security issues. Enterprises are constantly struggling with what to do with our corporate data, how to use it, analyze and deploy data for business solutions, and most importantly how to secure it from unauthorized access and other risks.


WHAT WE OFFER

EBS data management capabilities include business intelligence, data analytics, ETL, enterprise content management, and document conversion capabilities. With diverse technological expertise, EBS’s Data Management Services are designed to fit specific client needs – from integrating data from disparate systems to decision making support, and from improved customer service to better vendor relations. The aim is to make your key data available in the right format whenever users require it. We also provide data management training services on back office processing, analytics and insights and delivery excellence.

service_dms (1)

EBS’s DMS DIFFERENTIATOR

Data Management_a (1)
Data Management_b (2)
Data Management_c (1)
Data Management_d (1)

BUSINESS BENEFITS

EBS master data management facilitates data clarity and collaborating among the enterprise’s users and also with different stake holders. It helps create, maintain, analyze and cleanse data thus improving data quality. It ensures data governance with complete transparency with excellent reporting facilities.

KEY BENEFITS

04 Data on boarding with scalability and flexibility and standardized service delivery
04

High quality data for sound operations, decision making, and planning
04

Greater efficiencies for business processes through improvements in data accuracy
04

Higher level of data validation at the enterprise level for standardized service
04

Data protection from unauthorized access or unmanaged updates