Prooving with Data

Regulatory Compliance

Traceability, lineage, governance and intelligent discovery combine to ease regularoty burden

Automating Traceability and Data Lineage

The quality, reliability, security, accessibility, and usability of a company's data dictate the effectiveness of the organization in driving new business opportunities, delivering state-of-the-art customer service, managing risk, generating meaningful decision support models, and reducing operating costs.

The overall condition of data assets is directly dependent on the company's ability to align people, processes, lines of business, and technologies. It requires that all of these things work together to produce the desired outcomes that make data fit for its business purpose.

The only way to align the interdependencies of disparate people, processes, lines of business, and technologies is through a well- orchestrated data governance program with a metadata repository at its core.

Data Governance and Metadata Management are two closely associated Data Management Capabilities which organizations must address in order to truly turn their data into Information Assets.

Without a complete understanding of the data upon which an organization relies, decisions about how it should be managed and used for competitive advantage, new product development, target marketing, risk management, financial reporting and regulatory compliance are based more on "instinct" than on "facts".

Should formal accountabilities and processes, including those that define how new data is introduced within the organization not exist, data can get treated as a necessary evil rather than one of the most valuable assets that most modern organizations possess. Too often organizations flounder when trying to address important audit questions such as: "how is quality measured", "how are privacy guidelines applied", and “how can data be used and who is able to use it”.

Effective governance of information assets demands setting up formal governance bodies and processes and establishing control of the organization's "knowledge" about those assets to better answer these questions. Metadata is the principle means by which this knowledge is represented.

Metadata management is an important component of a data governance strategy as it provides a single, reliable enterprise-view of data while facilitating auditing, reporting and compliance.

Adaptive's Metadata Manager remains among the industry's leading enablers for data governance - making it possible for companies to orchestrate cross-functional activities that influence data outcomes, which in turn, drive business effectiveness around decision support, campaigns, customer service, operations, compliance and risk.