Take your First Steps Towards Analytics

Unsure of how to leverage analytics to yield a competitive advantage? Frustrated that your competitors are making better business decisions using analytical models? Overwhelmed by the thought of doing analytics and don’t know where to begin?

Discover how powerful competitive advantage can be achieved using advanced analytics!

As described in the book, Competing on Analytics 1, the use of advanced analytics, including statistics, data mining, and predictive modeling, has become the latest and often only remaining frontier to drive a competitive advantage for your organization. However, confusion over how to begin using these methods is a common occurrence, particularly for small to medium-sized businesses.

In this three-day consulting engagement, your fears will be laid to rest as we guide you through the first-steps to discovering how powerful competitive advantage can be achieved using advanced analytics at your organization - no programming skills or Ph. D. required.

1 Davenport, Thomas, and Jeanne Harris. Competing on Analytics. Boston: Harvard Business School Press, 2007.



During the 3-Day session, a consultant will work with your team to:

• Identify areas where analytics may have a significant impact for your firm.
• Define short and long-term analytical goals and objectives.
• Demonstrate some of the latest SAS technologies available to do high-impact analysis with no programming skills required.
• Formulate a written blueprint that clearly defines the next steps to move forward and succeed using analytics.

As always, we will be available to help you implement your customized blueprint and can provide guidance at every step of the way. We are here to help you succeed using analytics.

 

Process Flow (Above) - Click to Enlarge

This figure illustrates a flow diagram that is automatically comparing six types of predictive models within SAS Enterprise Miner technology. Neural networks and decisions trees are among the data mining models being tested to predict the spending behavior of retail clients. With this knowledge, the retailer aims to increase revenue by improving marketing strategy for different segments of the population.



Hypercube (Above) - Click to Enlarge

Graphical exploration is a fundamental step in analytical inquiry and often helps identify areas to investigate further. In this figure, the visual relationship between multiple clinical measures is being explored using a hypercube within SAS Visual Data Discovery technology.
 


To Register for your 3 Day Consulting Engagement, Please contact:

Timothy D’Auria or Ken Gustin

CREATIVE COMPUTING, INC.
100 Middle Street
Lincoln, Rhode Island 02865
Tel 401-727-2400
Fax 401-727-4998
 

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