Becoming a Business Analytics Leader
How CIOs can take the leadership role to deliver game-changing analytics
" SAS is a solid and flexible technology that is really a true enabler. Our business could double or triple in the next five years, and we will have no technical limitations with SAS."
Senior Vice President and CIO
Surveys have shown that many CIOs think business analytics is the number one technology that could enable their organizations to gain a competitive edge. IT departments are uniquely positioned to drive analytical improvements because they either own or are involved in analytical infrastructures, the majority of enterprise data, analytical and business application deployment and maintenance, and the operational systems where results of analyses should be embedded.
It is IT's response to exploding volumes of data, the information processes for digesting and distributing data, and the sophistication of tools they use to define and discover insights that will determine if they can deliver the game-changing analytics needed for business transformation.
How SAS Can Help
When looking to your future, consider how success in this space is defined not only by the technology but also the experience and skills of those who are applying it. Consider these factors:
- World-class infrastructure. SAS stands alone in having an organically grown framework that enables business continuity for mission-critical analytical solutions and constantly ensures that your architecture requirements will be met today and tomorrow. We work with our customers to create goals and priorities that meet enterprise needs.
- The world's most advanced analytics. Real-time or near-real-time support for analytics is increasingly important for achieving business goals. That means multitudes of models running in a fraction of the time, and that means answers delivered instantaneously. SAS helps organizations balance existing infrastructures and initiatives with added innovations to drive competitive advantage.
- Sandbox support for model development. To achieve analytical innovation, IT will have to provide an effective sandbox environment for the model development process. SAS can help IT deliver the advanced analytic infrastructure and data preparation capabilities necessary to support an iterative, multipronged approach to creating and validating analytical models.
- Model deployment. Once the analytical models have been developed, validated and selected for production, IT must be involved in incorporating the results into operational systems. This is key for continuously improving the business. SAS can help build production-ready processes that span infrastructure support, prepare data, deploy models and ensure that all models maintain required performance standards. We can help IT achieve a consistent, flexible and streamlined process for managing data and analytical life cycles.
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