Monday 19 May 2014

Enterprise Data Management Industry 2018: Data Quality Management and Data Architecture Revenue Analysis

Enterprise Data management solutions help organizations to profile, cleanse, standardize, and de-duplicate data related to finance, operations, marketing, risk management, and vendor relations. Enterprise data management helps enterprises to remove organizational data issues and conflicts resulting from the mismanagement of information and data.

Enterprise data management automatically acquires data from enterprise systems, applications, and from third-party cloud services. After data are captured, they are checked for consistency and integrity in order to provide high-quality information to end-users or improve the quality of data.

Analysts forecast the Global Enterprise Data Management market will grow at a CAGR of 8.66 percent over the period 2013-2018.

Exhibit 1: Segments Included in the Scope of the Study

Covered in this Report
The Global Enterprise Data Management market consists of several segments such as data stewardship, data standards, data processes, data governance, data quality management, and data architecture. The scope of the report includes the revenue generated from the following two segments such as Data Quality Management and Data Architecture.

Global Enterprise Data Management Market 2014-2018, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the Americas and the EMEA and APAC regions; it also covers the Global Enterprise Data Management market landscape and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.

Key Regions
  • Americas
  • EMEA
  • APAC

Key Vendors
  • IBM Corp.
  • Informatica Corp.
  • Oracle Corp.
  • SAP AG
  • SAS Institute Inc.