December 19, 2014-
By Neil Biehn
Organizations have spent billions of pounds on ERP and CRM systems, and today they’re sitting on petabytes of big data gold mines. The most astute CEOs are looking for new opportunities to use their data assets to extract predictive and prescriptive analytics that evaluate how their companies are performing. From sales, to pricing and profitability, and even customer attrition, companies are learning to use this data to better serve their customers, and drive value for their products and services.
As 2015 unfolds, we’ll see changes in the world of big data as even more companies use predictive and prescriptive analytics as competitive differentiators:
“Big data” becomes a term of the past
In 2015, we’ll see the buzz term “big data” significantly erode and begin to vanish. In contrast, we’ll see increased focus on the hidden assets found in data using predictive and prescriptive analytics. It’s these analytics that provide actual business value and help companies make easier, faster and smarter decisions about how to better engage with customers and drive top-line revenue. CEOs are looking not for more data, but how they can connect data with predictive and prescriptive insights to capture strategic business value resident in their systems.
“Data Science” becomes science
Over the past few years, we’ve seen the term data science associated primarily with tools and software technology. In 2015, we expect a return to its scientific roots — listening closely to the business in order to hypothesize potential solutions, testing those hypotheses with data, observing their outcomes and finally, recommending a solution. We see a big shift from buzz words and technology platforms into the fundamental principles of the Scientific Method.
If you’re not using big data analytics you’re already behind the competitive curve
La quantité de données dans les infrastructures des entreprises augmente chaque année, tant en volume qu'en complexité. En 2015, si les entreprises n'utilisent pas l'analyse prescriptive et prédictive pour tirer profit des actifs stratégiques résidant dans leur vaste réseau de systèmes, elles perdent leur capacité à être compétitives et à gagner. L'art de faire des affaires gagne en complexité chaque année, et l'analyse prescriptive et prédictive est désormais un enjeu de taille.
Chief Data Officers (CDOs) aren’t the norm outside of Silicon Valley, but data governance is
Data-driven Silicon Valley organizations like Yahoo and even the City of San Francisco have paved the way for the emerging CDO role. Beyond the Valley, you may not find many CDOs, but we’ll see a big need for more data governance in 2015 as data moves from opportunity to an asset.
Bien que nous ne puissions pas savoir avec certitude si chacune de ces choses se réalisera, nous savons que le monde du big data est en train de changer. Il ne s'agit plus seulement d'avoir accès aux données et de pouvoir les stocker, mais de pouvoir obtenir des résultats exploitables grâce à l'analyse prédictive et prescriptive. Seul l'avenir nous dira comment cela évoluera, mais si vous n'exploitez pas les données pour être compétitif et gagner, il est temps de vous y mettre.
Neil Biehn, vice president of science & research at big data software company PROS