The big data market is a strategic stake for businesses. Indeed, after having been introduced as a concept a few years ago, Big Data is now well anchored in reality. But what is Big Data and how tackle this axis of expertise? This sounds to be a legitimate question with regards to all the different given definitions and other marketing lines from ISV and integrators who see in this client need a growth stream whatever it takes. Therefore this market hasn’t shown its true face yet.
Still well informed initiatives do exist. Let’s look at a few figures to start with to have determine this promising market. According to a study from Markets and Markets (2013), the Big Data market should annually grow from 26% and reach 46 billion $ in 2018. The interest towards Big Data also differs in relation with the geographical zones. Thus, Matteo Pacca – McKinsey said : “30% of clients demands to McKinsey teams about Big Data emerge from the US, 12% from the UK as well as Germany but France only accounts for 7%”. (Le Monde Informatique, April 2013).
These few figures highlight the appeal for the decision-making and Big Data markets that are with Cloud Computing the future of IT projects. The institutions understood that perfectly. Therefore, the Commission chaired by Anne Lauvergeon handed the Elysée a report aimed at positioning France at the forefront of innovation. Big Data being one of seven priorities mentioned.
To approach a Big Data project means in the first place to ask the right questions and determine the framework. The objective of this paper is not to come back on tracks time and again explored but to stress on 2 focal points : the variety of data consideration and real time analysis.
In this context, Big Data is no longer reserved for major accounts dealing with large volume of data. A SMB should equally capitalize on their data flows and use them to increase/enhance both their competitiveness and performances. Unlike major accounts, SMBs don’t work in a “silo” mode, contents are fragmented and as a result it’s necessary to take up a Big Data approach to make best use of their data.
It’s also important to mention the speed of analysis and consequently the real time way. The latest being a major feature of Big Data. Businesses will then be able to drive at the nearest their activity and make the right decisions based on continuously updated data. We’re talking here of a definite added value.
Volume is one of Big Data components but processing speed and the variety of data are as well as important or even major to any Big Data project launch. The ISVs challenge is to work well with these components. Those among us who would communicate on a Big Data offer because they’ve built up a connector with the likes of Google BigQuery, Amazon Redshift or SAP Hana, probably did not get the gist of what Big Data is.
The one and only challenge is to easily process either structured or fragmented data flows in real time in a self-service mode. Because Big Data as the rest of Business Intelligence does not only come under the wing of the IT dept. but also the operating ones.