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Data Governance

The Best Architecture has a Solid Foundation

The world has become enamored with data. Terms like Business Intelligence, Big Data, and Predictive Analytics line the pages of business books and trade magazines, while vendor emails and blogs tout the tantalizing business benefits of data use cases.

Given these benefits it can be tempting to jump right into deploying a Business Intelligence application or a Hadoop cluster, but like any good architecture data analysis projects must begin with a solid foundation. That foundation is Data Governance.

Data is an Asset

Most organizations are very particular about protecting the value of assets like real estate, receivables, and cash, and they have controls in place governing the use of those assets. One of the pillars of a good Data Governance plan is recognizing that data is an asset and treating it as such.

To understand this, simply think of what would happen to your organization if your customer list, transaction history, and other data suddenly disappeared tomorrow. Could you continue to operate?

While the complete disappearance of data is easily recognized as a business disaster, many companies operate without knowing for sure their data is accurate, complete, and protected. This state of affairs has its own effect on the business, and while management can’t quantify that effect in most cases it’s a very real threat to profitability and efficiency.

Ways We Can Help

  • Data Governance Assessment: Understand where your organization stands on issues of Data Governance, and get recommendations to progress to the next level.
  • Governance Coaching: Need help implementing a Data Governance program? We’ll assist your Governance Council and Stewards to establish the principles, policies, and standards necessary for success.

Why Brilliant Data?

Data Governance is a cultural change, and cultural changes can be the hardest to implement effectively. We understand the challenges and can work with management to design a program that delivers the best result with the least disruption to existing workflows.

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