Analytics Infrastructure: 15 Considerations

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I recently presented with Jessica Dunn from Bank of America at the SAS Global Forum Executive Conference. Our presentation addressed the considerations necessary to build and manage an effective analytics infrastructure. Although we both worked on our presentations separately before we had a chance to discuss teh session, we built a similar story. That story is that even though technology is important, infrastructure is much more than technology. It’s a combination of people, process and technology, with data at the center.

Analytics Infrastructure = People, Process & Technology

Hung LeHong, Gartner Research VP set the stage as the keynote presenter at the SGF Executive session. Hung spoke about the future role of analytics and highlighted the fact that IT needs to play a critical role.

To build off of this introduction, my presentation focused on providing a set of design considerations for the analytic infrastructure. I provided 15 considerations, that span strategy & vision, people, process, technology and data/information. In the coming days, I plan to blog about each of these considerations.

Analytics Infrastructure Considerations

 

Vision & Strategy

People

  • It’s not just “Business” and “IT”
  • Get the right people: Don’t skip on training
  • Leverage Center of Excellence (COE) principles

Process

  • Understand the analytics lifecycle
  • Ultimately it’s about improving the business process
  • Strike the right balance between control and user flexibility

Technology

  • Leverage Enterprise Architecture principles to ensure proper design
  • Think big! Big data & big analytics: High Performance Analytics is key
  • Integrate SAS into the overall IT infrastructure

Data / Information

  • Design data strategy that results in information as a strategic asset
  • Leverage comprehensive Information Management approach
  • Step up to data preparation: Free up the scarce analytic resources
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Mark Troester

IT / CIO Thought Leader & Strategist

Mark Troester is the IT / CIO Thought Leader & Strategist for SAS. He oversees the company’s market strategy efforts for information management and for the overall CIO and IT vision. He began his career in IT and has worked in product management and product marketing for a number of Silicon Valley start-ups and established software companies. Twitter @mtroester

3 Comments

  1. Pingback: Alignment Enables Analytic Success - Information Architect

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  3. Thank you for this post. I got this reference from MIT's Big Data Analytics class. This would be of great used to me as I venture into Project Management for Big Data projects. I really appreciate this.

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