10 NovInformation On Demand-Part 2
In my last post, I discussed some of the information shared at the Information On Demand 2010 conference in Las Vegas. The main focus of the conference dealt with applying information and analytics to drive innovation, business optimization and competitive differentiation.
The question I left you with — How do we integrate and employ the techniques learned?
One way is to perform an analysis. Because I attended the conference, our company has received a free assessment by IBM. They will, at their cost, come in and talk to the business units and determine our Analytics Quotient. They will produce a written Road Map and work with us to prepare a Strategy Map.
The next big challenge is to what extent are we going to transition our organization to have a higher AQ and use the tools across our company? Companies with a high AQ are at a competitive advantage and have employed the tools necessary to perform Predictive Analytics. They have put forth the best practices throughout their organization and have created an enterprise centric solution to optimize results across all departments.
The key points in the final day for me are as follows:
- In the past, we accumulated structured data, but in the future we will leverage unstructured in the form of faxes, E-mails, blogs, Tweets, and other Internet sources.
- Understand the effectiveness of the different tactics we are using in real-time.
- Use cost cutting aspects that can be gained with analytics to fund the new projects that increase revenue.
- Analytics-driven organizations outperform by a factor of 20 times, 50% revenue growth, and 30% more return on investment.
- Become an analytics driven organization.
Brenda Dietrich, VP of Business Analytics and Mathematical Sciences really summed it up.
“We are using data to build, not just a model that says what’s going on now, but a model that looks backwards and says, given all the things that happened in the past, I can begin to tease our cause and effect. I can build a model that I can then play forward dynamically in time and see what is likely to happen in the future. The second thing we can do with this model, is we can take real-time information; coming off sensors; coming off mobile devices, coming off people tweeting, and bang that against the model of how the world works to get real-time insight into what has just happened, and what actions we can take right now or very soon that would improve the outcomes.”
Ok, so how do we apply what was learned this past week? First, create a trusted data source. Second, leverage both structured data and unstructured data. Third, apply predictive analytics to everything and every department in our organization.
If you attended the Information On Demand 2010, we would be interested in hearing your take-aways from the conference.



