NASLOV: Digital Transformation in Energy Utilities – With Predictive Analytics to More Competitive Ability?
AVTOR: dr. Norbert Pillmayr
There are many ways in business or literature to describe Predictive Analytics. Like the subsumption of statistical techniques to meet the vision of making predictions to the unwritten future.
Overall there are several examples. Let`s take Moneyball, a 2011 American baseball sports drama film. Based on a true story the baseball-movie shows us possibilities how interpretation of structured data can affect business behavior in daily (baseball-)life. A lateral thinker faces old-fashioned scouts with a new way of evaluating new players.
There is a central scene in the movie when a young Yale graduate explains the general manger his perspective towards baseball:
… There is an epidemic failure within the game to understand what is really happening. […] People who run ball clubs, they think in terms of buying players. Your goal shouldn’t be to buy players, your goal should be to buy wins. And in order to buy wins, you need to buy runs….
At the end of the day they analyzed historical and current facts about players and put it in a predictive model. With this fundamental change of their point of view they identified new opportunities in the players pool.
Concerning to business, especially to energy utilities companies, there are new ways to manage their competitive ability, financial services or quality management. To put one keyword in our focus: Predictive Maintenance. The capability to increase the mileages of energy assets and to achieve higher uptimes.
We will discuss opportunities and risks which are offered by looking into the crystal ball. Furthermore, we will try to sensitize without forgetting the skeptics aspects of an unknown business environment.
Dr. Norbert Pillmayr is Head of IT Service Management in the Austrian energy utility KELAG – Kärntner Elektrizitäts-Aktiengesellschaft. His main responsibilities are in the fields of business alignment, customer communication and requirements, IT-infrastructure, service level management and IT-benchmarking.