SAS Master Data Management (SAS MDM)

SAS Master Data Management provides uniform data view for receiving more exact analysis results and expansion of a basis for decision making.

SAS MDM helps to simplify and standardize data, creating a central mass storage which allows to manage consistently within uniform strategy reference books in scales of all enterprise.

Advantages

• Increase in income due to creation of mutually beneficial relations with clients and optimization of supply chains. Having set interrelations between operating systems through uniform base of master data, the organization gains the consolidated impression of the client and his activities that allows to find new opportunities of cross-sellings, additional sales and sale of new complete sets of a product. The unified and more complete data about products, stock and capital assets help the companies to define the areas and processes requiring optimization, to find methods of cost reduction on all supply chain.
• Increase in level of service and customer support. Uniform representation of clients and other objects allows the companies to optimize all customer interactions, including sales process, customer supports, billing and many others.
• Creation of reliable MDM initiatives in the step-by-step approach. Using strengths of the solution of SAS on integration and data scrubbing, from any industries the advanced industry practicians and professional consulting services can apply the organizations to implementation of MDM projects with initially low level of risk.
• Providing uniform, reliable data for use in solutions of SAS. Investments into products of SAS can bring more return. The quality of initial data provides quality of analysis results. * The high-quality storage of master data forms a basis for solutions of a business intelligence, such as SAS Customer Intelligence, SAS Fraud Management, SAS Risk Management and others.
• Acceptance of reasoned decisions, thanks to up-to-date data which cover all operational applications. Creation of uniform representation of clients, suppliers, products and other objects allows to connect reliably data with operating systems and provides the consolidated submission of each reference book. It allows to receive more exact and complete results in predictive analytics that in turn leads to improvement of quality of work of decision making support systems.
• Risk reduction, thanks to creation and use of uniform set of business rules. Uniform and consistent data are necessary for risk reduction. MDM from SAS gives opportunities the administrations of data necessary for composition check of data, their correctness, integrity and also for audit and quality evaluation of historical information.

Features

Standardization and improvement of quality of data for all their lifecycle, including following features:

• Access to various sources.
• Profiling of data.
• Data scrubbing, including check of the addresses (reduction to KLADR), enrichment of data, standardization, the analysis, etc.
• Comparisons of data, binding of data and selection of households.
• Business rules for monitoring of data.

Reference books of data

Creation of master data for individuals (citizens, clients, students, patients, etc.), the organizations, the addresses, suppliers, products, assets or for other subjects of the analysis and elements of "gold records":

• Determination and centralization of key handbook data.
• Transition from batch-oriented data integration to data integration in real time through the service-oriented architecture.

Storage master of data: loading and procedural service

Setup of a data model and conversions / loading processes of data for the general reference books (individuals, the organizations, location, etc.).

Support of loading and regular service of the following processes:

• Ready models with a possibility of addition with the user models.
• The built-in functionality of data scrubbing, including check of the address, standardization, parsing, etc.
• Binding of measurements, binding of records through a system source, cross-references and creation of "gold record".
• Monitoring of data on the basis of rules.
• Tracking of historical data with fixing of all records sources and "gold records".
• Boot and regular strap loading and transformation of data.

The web interface for administration of data

Control of the hub of basic data and also processes and work flows using the intuitive interface which offers following features:

• Search and display of measurements.
• Adding, change and removal of reference books and their hierarchies.
• Creation of new hierarchies and their change.
• Formation of reference books and rules of survival for clusters of records in reference books.
• Role-based access control to attributes that allows to limit an information access a circle of authorized persons.
• Management of metadata for reference books, attributes and conversions.
• Dynamic and package reports.
• Support of consecutive maintaining and use of attributes of master data through the general data model and the centralized data access.
• Provides permanent compliance to rules and necessary for the set quality of data with use of profiling of data and business rules of monitoring.

Formation and comparison of reference books

• Creation and support of the main record using the patented mechanism of comparison of data.

Rules of survival

• Verification of basic data via mechanisms of formation of reference books, formation of "gold" record, and creation of universal identifiers.

Data loading in batch mode and in real time

• Import of data, service of requests to a repository of master data through batch processing or in real time (service-oriented architecture).

Glossary of business terms: creation and management

• Creation of the glossary of business terms and management of it using the web interface.
• Possibility of graphical analysis of business terms and categories.
• Viewing interrelations between elements.
• Use of internal audit for understanding what data and whom were changed.
• Storage and use of determinations for carrying out all processes of management of data.
• Management of glossaries and reports on their use.
• Protection of crucial and confidential information through access only to reading to contents of data of the glossary.

Structure of handbook data: creation and management

• Storage of different types of hierarchies and management of them via the web interface.
• Determination, profiling and control of handbook data from any system source.
• Integration of the exact and solid reference information.
• Storage of complete history and dates of change of records and their attributes using the single interface, management of this information.
• Creation of business rules between processes and management of them.
• Integration of business terms and glossaries.
• Creation of the corporate quality standards of data at the level of attributes.