DataFlux Data Management Studio

DataFlux Data Management Studio DataFlux Data Management Studio provides the key for true business and IT collaboration – a single interface for data management tasks. A Single Point of Control for Enterprise Data Management at Your Fingertips Data Management Data Management Studio offers a unique set of Organizations today are faced with a daunting challenge workflow tools built on an industry-leading – how to control the information that serves as the very technology platform that encompasses every facet of foundation of their business success. However, with the the data management process. Through its intuitive recent, exponential growth in data and the proliferation interface, Data Management Studio provides business of siloed, disparate data, organizations are realizing that and IT users with powerful data improvement the data that is fundamental to their success doesn’t capabilities and control over data management and meet their needs. data governance initiatives. DataFlux Data Management Studio provides a single Data Management Studio provides the ability to design interface for both business and IT users to plan, and manage processes to: implement and monitor the rules to manage data throughout the organization. Part of the DataFlux Data • Merge customer, product or other enterprise data Management Platform, Data Management Studio • Unify disparate data through a variety of data provides a unified development and delivery integration methods (batch, real-time, virtual) environment, giving organizations a single interface to analyze, improve and control data and drive enterprise • Verify and validate customer and product information data management. • Integrate disparate data sets, with an eye on quality By delivering a single, accurate and consistent view • Transform and standardize various data entities of any and all DataFlux tasks through a user-friendly process and technology framework, Data Management • Monitor data for compliance and data quality Studio lets you: control • Enable both business and IT users with increased • Manage metadata hierarchies control of data management tasks By enabling consistent, accurate and timely data • Enhance cross-functional data governance through a single place to create, optimize and manage throughout the enterprise, Data Management Studio business rules gives organizations the ability to implement the people, process and technology changes necessary to establish • Profile, monitor and actively manage the quality of enterprise data an effective data governance strategy. Data Management Studio provides powerful functionality to • Provide a consistent user experience for all phases of meet today’s demanding data management challenges. data management Data Quality Data Profiling Standardize, rationalize and transform corporate information Discover data characteristics to guide data quality and data integration efforts Better data leads to better decisions which, ultimately, lead to better business. Data Management Studio Data Management Studio provides industry-leading data profiling capabilities, providing insight into the gives both business and IT users the full capabilities of the DataFlux industry-leading data quality technology. health of the data. Data profiling is critical when you need to identify the root cause of poor-quality and Through patented matching technology, transformation routines and identification logic, DataFlux helps you disparate data sources. Through a data discovery program, Data Management Studio helps you gain the easily correct data problems for virtually any and all types of enterprise data. knowledge to design effective data quality, data integration and master data management (MDM) business rules to support your organization’s data-driven initiatives. DataFlux Data Management Studio allows you to: Data profiling provides an in-depth assessment of your organization’s data, examining the structure, • Plan and prioritize data correction initiatives completeness and suitability of your data assets. Data Management Studio lets you: • Identify and resolve problematic data • Develop a comprehensive assessment of the scope and nature of data quality issues • Normalize and transform data according to both pre-built and custom data quality rules • Create an inventory of data assets • Validate data and improve overall accuracy • Inspect data for errors, inconsistencies, redundancies and incomplete information • Build the foundation for future data management initiatives A collaborative design environment allows business and IT users to develop and refine data jobs and services. Data profiling provides immediate feedback on the accuracy and integrity of data sources. 2 Data Integration Entity Resolution Intelligently match, merge and consolidate data Match data and identify potential data relationships across sources An effective data integration strategy can lower costs and improve productivity by enabling consistent, The ability to link and consolidate entity information with a high level of confidence is critical to data accurate and reliable data across your enterprise. Data Management Studio provides users with a single management initiatives. Information about the same customer, product or employee may exist in multiple interface for data quality and data integration activities, including the design, navigation and management databases, in many unique forms. The challenge is to find and resolve similar records in different data sources. of data integration jobs and workflows. These rules can then be executed via the DataFlux Data Management Server for real-time or batch processing as well as the DataFlux Federation Server for virtual data integration Data Management Studio offers industry-leading matching technology that enables accurate entity capabilities. resolution across multiple data sources. With this technology, you can: Data integration involves combining processes and technology to enable your enterprise to make the most • Identify individuals across multiple data sources from incomplete and non-obvious relationships effective use of disparate, inconsistent data.