Optimize and Transform Data Operations

Better use of applications and analytics helps the organization to tap into new revenue streams and/or optimize cost.

Your Challenge

• The cost for running databases is high, diverting valuable data management budget from strategic data initiatives such as data governance, data quality, MDM, and BI/Data warehousing.
• A lot of server space is needed to store databases instances (production, test, dev and sandbox), driving storage and maintenance costs.
• The footprint of unstructured data is growing over the years, yet data operations traditionally focuses on structured data.
• New data management technologies are emerging, complicating the data operations landscape.
• Management does not understand data operations well enough, managing that team and creating a plan for that team is a challenge.
• Data operations is seen as a cost center, getting constant pressure to streamline data operations.
• The data operations team, collectively, have a wealth of knowledge on the data assets and the information being stored. The knowledge is not proactively leveraged in other information initiatives.

Our Solution

Identify gaps and inefficiencies in your current data operations practices and create a plan to optimize the practices by implementing a data operations center of excellence (DOCOE). The goal is to optimize data operations to cut cost, enhance data operations capabilities and to simplify data operations landscape.

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