Collibra Governance Software

  • Data Stewardship Manager

    Information: 

    Collibra’s Data Stewardship Manager supports a structured, process-oriented data management strategy. It enables you to implement various stewardship processes: data quality issue management, business policy compliance, data sharing agreements, change requests, ... It's a business application specifically built to optimally engage all stakeholders across departments and lines of business.

  • Business Semantics Glossary

    Information: 

    The Business Semantics Glossary helps you with an important first step in a Data Governance initiative: the identification and prioritization of critical business concepts and data assets. One has to agree on the meaning of those key business elements and critical attributes, as they mean different things depending on their context.

  • Reference Data Accelerator

    Information: 

    Reference data is data that classifies other data. It is used in almost every application. As such, reference data has key strategic business value, and needs to be governed as such. Collibra's Reference Data Accelerator gives you a controlled approach to handling flat code sets, hierarchical reference data and mappings between variations, avoids broken business processes and costly integration challenges.

  • Data Governance Center

    Information: 

    The Data Governance Center is a business solution that enables organizations to implement process-driven Data Governance. One fully integrated product suite to make data governance : implement your data governance operating model, increase and sustain end user adoption and report on compliance, maturity and ROI metrics.

  • Data Stewardship

    Data Stewardship is the key operational level of a Data Governance program: it is where data stewards perform their day-to-day work. Data stewards know data and they understand how data affects the business. Data Stewardship guarantees trust in data.

  • Data Governance for Master Data Management

    The goal of Master Data Management is to obtain single versions of the truth (e.g., a single customer hub that feeds other operational and analytical environments). As such, a Master Data Management initiative is resource intensive and business involvement is a critical success factor. After all if a business user does not trust or understand the data in the MDM environment, it will not be used.

  • Data Governance for Data Quality

    Data is more important to your business than ever before. A structural Data Quality strategy is a key component to guarantee that you can use your data properly to your competitive advantage. You make business decisions and perform business planning based on your data. If you cannot guarantee a minimal quality of that data, then business decisions are based on a unsound foundation.

  • Regulatory Compliance

    The need to understand very large data landscapes at a fine level of detail, the ability to map such data to the regulators' requirements, and the agility to respond to new requirements drive the need to implement a process-driven Data Governance solution.