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Organizations need to take several steps to ensure the quality of data, including the development of policies and procedures for data handling, implementation of data quality checks and controls, monitoring tools, along with regular audits and training.
Data Management Strategy
Develop a data management strategy that defines data integration, storage and security, privacy and compliance. Build strategies to leverage your data and monitor performance. Create an actionable roadmap to improve data and intelligence capabilities over time with reduced risk and a focus on business outcomes.
Develop a modern data governance framework that enables self-service and ensures that assets are properly managed and protected throughout their lifecycle. Get the most value from your data by helping you establish the right operating model, policies, rules and procedures to support your strategic goals and objectives.
Master data is used to identify and describe business entities, processes and systems. We help pinpoint the master data domains, establish data standards for each domain, implement data governance processes, identify systems of record for each master data set and capture requirements for integrating the data across various systems.
Reference data is used to define and classify other data. We help you identify, source and integrate reference data into your data ecosystem to enrich your analytical capabilities.
Metadata plays a critical role in helping to understand, manage and effectively use data assets. Establish standards, identify appropriate schemas and select the most effective metadata management tools. Unlock the value of your business, technical and operational metadata to help drive automation and improve data literacy across the enterprise.