Did you catch all the big data analogies people used in 2012? There were many, like the refinement of oil analogy, or the spinning straw into gold analogy, and less useful but more entertaining ones, like big data is like a box of chocolates, or big data is like The Matrix (because “there’s no way Keanu Reeves learns Kung Fu in five seconds without using big data”). I tend to like the water analogy, which I’ll use here to have a little fun and to briefly describe how I see the business analytics market in 2013.
Did you catch all the big data analogies people used in 2012? There were many, like the refinement of oil analogy, or the spinning straw into gold analogy, and less useful but more entertaining ones, like big data is like a box of chocolates, or big data is like The Matrix (because “there’s no way Keanu Reeves learns Kung Fu in five seconds without using big data”). I tend to like the water analogy, which I’ll use here to have a little fun and to briefly describe how I see the business analytics market in 2013.
2013 is about standing lakes of information that will turn into numerous tributaries. These various tributaries of profile, behavioral and attitudinal data will flow into the digital river of institutional knowledge. Analytics, built out by people, process, information and technology, will be the only banks high enough to control this vast river and funnel it through the duct of organizational culture and into an ocean of market advantage.
With this river of information as a backdrop, I’m excited to introduce the Ventana Research Business Analytics Research Agenda for 2013, focused on three themes:
Answering the W’s (the what, the so what, the now what and the then what)
The first and perhaps most important theme of the 2013 research agenda builds on answering the W’s – the what, the so what, the now
Outcome-driven approaches are a good way of framing issues, given that business analytics, and in particular big data analytics, are such broad topics, yet the use cases are so specific. Our big data analytics benchmark research for 2013 that we will start shortly will therefore look at specific benefits and supported business cases across industries and LOB in order to assess best practices for big data analytics. The research will investigate the opportunities and barriers that exist today and explore what needs to happen for us to move from an early adopter market to an early majority market. The benchmark research will feed weighting algorithms into our Big Data Analytics Value Index, which will look at the analytics vendors that are tackling the formidable challenges of providing software to analyze large and multistructured datasets.
Disseminating insights within the organization is a big part of moving from insights to action, and business intelligence is still a primary vehicle for driving insight into the organization. While there is a lot to be said about mobile BI, collaborative BI, visual discovery and predictive analytics, core business intelligence systems remain at the heart of many organizations. Therefore we will continue our in-depth coverage of core business intelligence systems with our Business Intelligence Value Index, in the context of our next-generation business analytics benchmark research that will start in 2013.
Embracing next generation technology for business analytics
We’re beginning to see businesses embracing next-generation technology for business analytics.Collaborative business intelligence is a critical part of this conversation, both in terms of getting insights and in terms
Another hot area of next-generation technology revolves around right-time data and real-time data and how they can be built into organizational workflows. As our operational intelligence benchmark research found, perceptions around OI and real-time data differ significantly between IT and business users. We will extend this discussion in the context of the big data analytics benchmark research, and specifically in the context of our Operational Intelligence Value Index that we will do in 2013.
Using analytical best practices across business and IT
Our final theme relates to the use of analytical best practices across business and IT. We’ll be looking at best practices for companies as they evolve to become analytics-driven organizations. In this context, we’ll
I see a high level of innovation and change going on in the business analytics market in 2013. Whenever an industry undergoes such change, high-quality primary research acts as a lighthouse for both customers and suppliers. Companies can capitalize on all of the exciting developments in analytics, business intelligence and related areas of innovation to drive competitive advantage, but only if they understand the changes and potential value.
I am looking forward providing a practical perspective on using all forms of business analytics as a value in organizations and helping our Ventana Research community and clients.
Come read and download the full research agenda.
Regards,
Tony Cosentino
VP and Research Director