Data analysis: beyond the "plumbing"
December 2, 2015
KAVE is an ecosystem which provides organizations with an easy and free access (open source) to the building blocks for sound data analysis. Lecturer Sander Klous explains in this blog what KAVE is and how it can be applied.
The growing mountain of data offers a wealth of possibilities for data analysis. More and more organizations are discovering that, by using internal and external data in smarter ways, they can achieve valuable results. The practice shows, however, that there are also many practical conflicts between dream and reality. Many organizations are inventing the same wheel, and this is both costly and time consuming. This is understandable, because this area is still relatively young and still developing in terms of technology. KAVE offers a breakthrough with an ecosystem which provides organizations with an easy and free access (open source) to the building blocks for sound data analysis.
One Stop Shop
What is KAVE? In its simplest definition, it is a one stop shop for every Big Data problem, developed by data scientists from KPMG. KAVE provides not only a high quality toolkit with free open source applications but also sophisticated legal solutions and access to experiences and applications of the best data scientists – inside and outside KPMG. Moreover, KAVE allows users to stay in control of what happens to their data – a major concern for many. It is possible, if desired, to achieve the benefits of Big Data without the data leaving your own servers.
Creating value free of charge
What is really new about KAVE? Apart from the very high-quality one-stop-shop, one of the unique features of KAVE is that organizations no longer have to pay for the necessary technology – the standard model – which we offer for free. The real value of Big Data lies, after all, not in installing a piece of technology but in an application that matters and that creates value. An algorithm that leads to breakthrough insights or an analysis which offers unexpected opportunities.
KAVE and platform thinking
We think KAVE and the platform thinking that KPMG thus embraces are important stimuli for the further growth of data analysis in all kinds of social and business sectors. One of the reasons why in practice sharing of data and data analyzes is now quite slow is the current structure that parties use. More accurately, the lack of a good structure for sharing data and insights into data. Organizations that start with data analysis and use data from outside must forge an ad hoc coalition with one (or more) parties every time. This provides, to put it mildly, no incentive for managers in business and government organizations to get the most out of such data. This actually discourages development and puts managers off. Now that the information society appears to be maturing, this should be done differently. And that is where KAVE comes into the picture.
KAVE effectively means that you no longer need a "plumber" in order to perform data analysis. That might be a shock to those parties that are now making money of such "plumbing" by selling their software for data analysis. However, this is an inevitable step toward a world in which we will be able to reap the full benefits of Big Data.
This blog by Sander Klous was previously published on the KPMG website in Topics, (Big) Data & Analytics, Topics, Cutting Through Complexity on May 18, 2015.
TIAS Master Class Digital & Social Strategy
Sander Klous teaches the master class Digital & Social Strategy of TIAS School for Business and Society. This masterclass is for professionals who recognize the importance of the use of social and digital media at a strategic level.
» read more about the TIAS Master Class Digital & Social Strategy