Data Management

From an Information Technology perspective, Data is the most important asset of any organization and the success of an organization is heavily dependent on successful management and utilization of their Data. Data exists in numerous forms like flat files, relational data, Mainframe Data, unstructured data like PDF, Word and Excel files and XML Data. This creates a greater challenge to manage, maintain and utilize data. According to TDWI Integrated data helps to reduce more than $611 billion that companies lose annually due to inconsistent, inaccurate and inaccessible data.

Most businesses today have a complex array of enterprise applications and information systems. Each application or system has specific functionality and handles data in its own way, stores it in a separate data store and may be unable to exchange and synchronize the data with other systems. The result is inconsistency in how data is created and used across the enterprise.

Disparities between applications and inconsistency in data can have costly negative impacts on a company. Requests for information can take weeks, not days, to satisfy. That is an unacceptable delay given today’s accelerated pace of business. Understandably, corporate leaders are demanding efficiency in business processes and commonality in data among information systems. The need for both timely and accurate information thus has driven business and IT management to look for new information technology investments that can help.

Though every organization understands the value of Data…

Data accountabilities are often poorly defined and managed
Data is fragmented across systems and is not integrated across business units
Data ownership is usually unclear or nonexistent
There is no single source of customer or product data

Enterprise Data Management is a scalable continuous process synchronizing data initiatives like Master Data Management, Data Warehousing, Data Quality, Database Administration and Maintenance.