This week in Las Vegas I held a number of executive interviews as part of my role with the SAP Business Influencer community at TechED. I’ll be posting on the SAP Community Network with abstracts here to link to the full content.
This week at SAP TechED, the KXEN team was in full force both demonstrating the continuing value of the brand which SAP acquired last month and also their new SAP employee badges after cutting over to their new teams inside the SAP Analytics group earlier in the month.
According to Saravana Chandran, Senior Director for Advanced Analytics, SAP had good position with the up-market visualization space with its Lumira product and relatively good penetration in the statistician and data scientist market with its predictive analytics tools. What KXEN brings to the table is the middle ground of business analysts who look for trends and forecasts as part of their day to day activities but who are not overtly looking to dissect the data into complex and reusable algorithms like statisticians.
“The vision of SAP Analytics is to reduce the data to decision latency, operationalize predictive model, and bring predictive analytics to broad set of users – beyond the data scientist while being open and flexible” claimed Chandran in my business influence interview this week at SAP TechED. “Customers can leverage predictive models and extend the usefulness to the end user across all levels of expertise. So you can democratize analytics and overcome the skills gap in today’s environment” where either the data is too complex (requiring more data scientists) or the application to simple to drive real trends and value to business decision making. Chandran claims that due to the skills gap currently in the market, for every $1 spent on solutions an additional $99 is spent on services needed to use those solutions productively. In today’s world you need to hire data scientists or bring in service providers to perform necessary analysis over time, pricing many companies (even large enterprises) out of the predictive analytics space.
To read the full article, including an embedded YouTube interview with Chandran and KXEN VP of Product Management Marco Casalaina, visit the SCN posting. Thanks to Chandran and Charles Gadalla for their time to sit together and talk about predictive analysis at SAP TechED. Follow my other SCN postings via my SCN profile page or Twitter (@william_newman).