The Australian newspaper had an interesting article on June 25, 2013 (http://tinyurl.com/mtah9ju) describing a number of successful predictive analytics applications, but also making the point that market penetration has been slow noting “… despite the numerous uses of predictive analytics, uptake is limited. According to Gartner, only 13 per cent of organisations report extensive use, while fewer than 3 per cent use prescriptive capabilities such as decision/mathematical modelling, simulation and optimisation market”. I posted brief summary comments today in response to the article and am pleased to share a complete copy of my comments:
Excellent article and clearly summarizes the challenges we face in educating management on how PA solutions can help companies improve performance and mitigate risk. I am pleased to share the following 3 observations. My comments are based on my position as former CEO of InferX Corporation, a publicly traded predictive analytics company, and serving as adjunct professor teaching MBA strategy courses in the RH Smith School of Business at the University of Maryland.
No. 1 Analytics complements ‘traditional management’
Define your mission; assess external environment and competition using PEST, Porter’s 5 Forces model, other tools; assess internal resources and capabilities; develop detailed value chain analysis; analyze product life cycles; develop cost leader/differentiation global strategies based on product, market, competition and other factors. Analytics can make a major contribution throughout the ‘traditional’ management process. Yet market analysis shows about 85% of the total PA market today addresses the CRM sector. We need to view PA within the context of traditional management rather than a separate ‘big data/analytics’ sector. Integrating PA into traditional management processes is a challenge and the real opportunity with high upside
No. 2 Analytics costs more
True. When the e-commerce revolution emerged years ago, we had major push back from companies who preferred to continue to process orders manually, work with suppliers using ad hoc systems, and avoid ‘costly’ new systems implementation and industry standards. Systems costs did increase, but we created process and performance efficiencies that improved profitability and reduced risk. Today’s analytics solutions demand understanding ROI (and how to measure) and clearly communicating this message.
No. 3 “Analytics Drives Strategy and Strategy Drives Analytics”
Properly executed and integrated into a company’s management processes, I see great opportunity to use analytics to drive strategy, particularly in shaping new product and market innovations to increase ROI. Look at Capital One, an analytics driven competitor reportedly doing 300+ analytic scenarios daily to optimize financial offerings. Or Progressive, capturing motorcycle rider clients using analytics to define a segment with both claims and expense ratios providing strong returns. Amazon, Netflix and many others are using analytics to drive ‘micro-marketing segmentation’ which is where we are heading. And these new strategies create new analytics, enabling analytics- savvy companies such as Amazon to continue to excel.
Clearly all ‘analytics solutions’ providers, a term I prefer to emphasize PA’s broader role, have a challenge ahead- to educate clients, particularly at the ‘C’ level, on the opportunities embracing these solutions and the challenges they will face if they do not. Exciting times lie ahead in the global analytics solutions business for both solutions providers and all companies in all sectors.
Paul B. Silverman