Information Integration and Governance for Big Data

• Ensure the highest quality information
• Master big data into a single view
• Govern big data throughout its lifecycle
• Protect and secure big data
• Integrate big data for a common view
• Ensure a single understanding and set of knowledge

Many organizations pursue big data analytics to find breakthrough insights that give them a competitive advantage. They are competing on analytics. But organizations can’t really compete on analytics alone. The reality is organizations are competing on information and analytics – and in order for the information to be acted upon, it must be trusted. In the new era of computing, companies must ensure that their analytics are driven by trusted data.

What makes an organization and its users trust information? We believe that there are six key factors involved:

• Information is Understood – its origin, value, and quality profile are well understood.
• Information is Correct – it is standardized, validated, verified, and matched.
• Information is Holistic – it shouldn’t be fragmented with competing versions of the same information.
• Information is Current – only the most recent and relevant data is stored, and old data is either archived or deleted.
• Information is Secure – the level of protection (encryption, redaction, security, and monitoring) from data breaches matches the governance requirements of the data.
• Information is Documented – the information’s source system, and all of the governance rules and transformations that were applied to it, must be tracked, explainable, and made visible to end users

Companies will compete on insights from trusted Information - the supply of trusted information is as important as the analytics – and information integration and governance is more important than ever.

Related resources

• Guardium and big data
• Information Integration and big data
• Master data management and big data
• Optim and big data