Solving Master Data Integration and Data Governance Challenges using IBM Information Server

Many corporations are recognizing that for regulatory compliance, privacy, corporate agility or security reasons they need to create best practices for the usage of their corporate data. For many years, organizations have had well-established best practices around their personnel, fiscal and facilities responsibilities. Corporate oversight has now been extended to ensuring that their data is auditable. Governance of corporate data usually extends from the integrity of the data exchanged with trading Many corporations are recognizing that for regulatory compliance, privacy, corporate agility or security reasons they need to create best practices for the usage of their corporate data. For many years, organizations have had well-established best practices around their personnel, fiscal and facilities responsibilities. Corporate oversight has now been extended to ensuring that their data is auditable. Governance of corporate data usually extends from the integrity of the data exchanged with trading partners and supply-chain to ensure a single source of information.
Ensuring the corporation can implement the oversight necessary to control their data is a complex challenge. Taking a systematic approach to the problem by using an experienced data integration offering can ensure your data governance project delivers results. IBM Information Server can help corporations expedite their data governance and master Ensuring the corporation can implement the oversight necessary to control their data is a complex challenge. Taking a systematic approach to the problem by using an experienced data integration offering can ensure your data governance project delivers results. IBM Information Server can help corporations expedite their data governance and master data management projects with trusted data faster and with accountability.

• Critical enabling technologies for Master Data Management and Data Governance initiatives
• Best practices blueprints for data governance and MDM deployments
• Scale to any level of data volume, transformation and cleansing complexity
• Rapidly turn analysis of source system data into data re-engineering specifications
• Complete data audit trail using sophisticated metadata management capabilities
• Data Quality profiling, analysis, cleansing, and monitoring
• Shared metadata enables enrichment and linkage of business and technical metadata terms and taxonomy