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Data Governance is a series of activities and processes that help ensure the formal management of data assets inside an enterprise. It also involves other concepts such as Data Architecture, Data Integration, Data Quality, and others to help organizations get greater control of their data resources, including processes, technologies, and rules relating to effective data management. Furthermore, it manages security and protection, integrity, accessibility, integration, enforcement, reliability, tasks and responsibilities, and the proper implementation of data from multiple sources within the enterprise. Master Data Governance guidelines describe company rules on a variety of factors, including data access, storage, confidentiality, use and discard.

Lean Data Consulting revolves around the principles of Lean methodology, which originated in manufacturing but has found applications in various industries, including data management. The core idea is to eliminate waste, enhance efficiency, and continuously improve processes. When applied to data consulting, it involves optimizing data workflows, reducing redundancies, and ensuring that every piece of data adds tangible value to the organization.  

Enterprise Data Management (EDM) describes an organization's capacity to integrate, govern, secure, and disseminate data from multiple data streams. This includes the ability to accurately and safely transfer data among partners, subsidiaries, applications, and/or processes

Data can help you make sharp decisions—if you trust it. We’re experts in data quality, from strategy to cleansing to master data management, and can help you create a roadmap to clean, usable data. Let’s build a data program that lets you use your assets with confidence.

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