Center of Excellence (CoE)

The last few years have shown an increasing rate of the application and use of analytics in many sectors of the economy. Many colleges have developed a much higher level of understanding and appreciation of the value and power they can derive from analyzing data and making better decisions. And, the advances in the power and ease of use of many types of analytical technologies developed by SAS have also encouraged students to take advantage of analytics to make more and better fact-based decisions, validate assumptions, identify root causes of business problems, etc. The results enabled students in doing world class projects and organizations to achieve higher levels of business performance, improve their market positions and weather economic downturns by looking for ways to operate more efficiently and effectively, and by identifying new market opportunities.

However, a large percentage of Academia are still struggling with several aspects of using analytics, including how and where to start, how to take the next step and how to change their internal culture to one that understands the value of analytics so that analytics becomes integral to the decisions that matter most. These could be automated decisions that enable others to take best actions, one-time decisions that inform executive strategy or a range of decision types in between.

Analytic centers of excellence can help academia deal with these challenges. Regardless of how much or how little analytic competency an institute may have, analytic CoEs provide a means to derive more value to its students, faculty and researchers through greater insight and better decisions. SAS helps you to explore the structure and role of analytic CoEs, and the various organizational aspects that need to be considered to effectively deploy analytics in an academia.

A well-implemented analytic CoE in academia should be a permanent with formal organizational structure (team) and should:

  • Be supported and sponsored by the executive-level management.
  • Be owned and staffed by the institute.
  • Include representation from business, analytical experts and IT.
  • Have a well-defined focus for roles, responsibilities and processes.
  • Be chartered to collaborate with all appropriate stakeholders (different academic departments), to influence the structure of the current environment in support of analytics and analytic best practices.
  • Have a commitment to provide and manage robust analytical development environments.
  • Have a commitment to provide and manage processes to push results and decision-making logic to production/operational environments.

For more detail please contact Shubham Chatterji

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