DataStar™ makes Agile data Governance, BI, and Integration a reality by streamlining and simplifying the key barriers to creating and managing common, meaningful corporate data. For too long, these important corporate benefits have been hindered by overly complicated, lengthy, and costly approaches that were suited for independent departmental use but cannot satisfy enterprise needs.

Agile approaches rapidly produce results by avoiding rigid, complicated process-oriented activities and technology while embracing new methods and technologies that produce value at business speed. DataStar™ supplies this capability with its facilitated methodology, supporting products, and integration with other powerful tools like AnalytiX's Mapping Manager.

DataStar Discovery Agile Data Governance uses a facilitated methodology backed with the streamlined capabilities of the Discovery product to deliver rapid results that are comprehensive, organizationally friendly, clearly defined, and easy to manage. The Discovery facilitated method concentrates on collecting, analyzing, and implementing important business and technical information from subject matter experts, modelers, analysts, systems, and documentation with minimal impact on organizational schedules. We use predefined models based on many years of industry-wide knowledge and lessons learned to guide collection and analysis to build a Unified Business Model based on the well-known, standards-based, and intuitive ideas of organization, process, and technology and related subcategories. With our facilitated services, business context is added back to data structures. DataStar Discovery’s semantic similarity analysis algorithms go far beyond simple name matching of database structures to include connections to business processes and use of master codes in data element specifications.

DataStar Unifier integrates disparate corporate data for BI analytics and a common enterprise source of meaningful, trustworthy, consolidated data. Semantic conflicts and lengthy data element mapping are eliminated because source data (unstructured, relational, XML files, flat files) is flexibly mapped to a semantic vocabulary and automatically integrated, transformed, and value checked. Agility is gained. Speed is increased. Insights are produced. Cost is lowered. Big Data prototyping enables you to exploit your data and produce results before investing in a large scale development effort. Data can be stored and accessed in Unifier's native object oriented NoSQL database, or ported to XML files or standard DBMSs.

DataStar Adapter provides a web management tool to build and manage mappings from data systems to XML schema based data interoperability packages like XBRL, HL7, HRXML, NIEM, and others. Once built, Adapter provides a high-performance Windows service application that translates data from and to data systems and the XML package. Key advantages of the DataStar Adapter over home-grown adapters or other tools is our combination of a semantic mapping management tool with a high-speed continuously running OS service that was built to avoid the many pitfalls in using XML exchange packages, including: elimination of transaction-killing latency traversing highly nested recursive XML elements; reuse of semantic mappings and ease of change for multiple systems; version management as standards change; visible semantic mappings for team collaboration and coordination to other data governance and integration efforts.