Data governance ensures that roles related to data are clearly defined and that responsibility and accountability are agreed upon across the enterprise. A well-planned data governance framework covers strategic, tactical, and operational roles and responsibilities.

Data governance brings a human dimension into a highly automated, data-driven world. It establishes codes of conduct and best practices in data management, making sure that the concerns and needs beyond traditional data and technology areas — including areas such as legal, security, and compliance — are addressed consistently.

Data access is tightly controlled. when multiple people demand immediate access to the right data from every source. “Consolidating our data in a single system made us better placed to have clean data and also helped with data governance.”

Delivering data at the speed of the business is the Holy Grail, but there is no compromise with data governance. “Cleansing and consolidating consumer data enables us to deliver the kind of personalized experience today's consumers deserve and expect.”

Cloud computing is based on the demand access to virtualized IT resources that are housed outside of your range, The cloud service provider offers services of cloud computing such as Storage SaaS, Iaas, and Paas. The present leading Cloud Service providers are Amazon, Azure, Google Cloud are certainly accessible to for all types of organizations for the better scalability.

  • Master Data Management
  • Cloud Data Warehousing
  • Accountability
  • Policies & Procedures
  • Data Quality Standards
  • Integrity & Availability
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Results and Benefits

Once your data management processes are established, data governance is a logical next step because of the many benefits such guidance can provide,

  • Increasing the value of your company’s data
  • Decreasing costs within other subsets of data management, by knowing what you’ll focus on and what you’re choosing to skip
  • Increasing enterprise revenue overall
  • Standardizing data systems, policies, and procedures
  • Ensuring correct regulation and compliance procedures
  • Helping to solve issues with data
  • Promoting transparency
  • Establishing training and education around data

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