Data scientists and business analysts: are they one and the same, or are they worlds apart? If the analogy that a data scientist is a business analyst working in California is to be believed, then the positions are only separated by a zeitgeist job title. But in reality, this isn’t the case: the two roles have very different parts to play in the ever-evolving landscape of big data. While data scientists are (and will continue to be) eagerly sought after in an attempt to plug a gaping hole in the employment market, business analysts are already there — on the ground, working with the data harvested by their enterprises. More and more as the industry progresses forward, these business analysts will be called on to contextualise that data, providing valuable business and industry insights.
Big data is sweeping into every part of the business world. According to the IDC’s Digital Universe Study, the amount of information managed by enterprise centres will grow by 50 times in this decade alone. And, as big data pervades the business world, traditional models will change to incorporate it and traditional job roles will change as part of a cultural disruption. The smart business analysts – those who wish to be change agents and seen as integral to their business and industry – will be at the forefront of this shift. So, with that in mind, we’ve put together a primer for business analysts — something that you can cut-out-and-keep, or pass on to your colleagues. Open up the primer below.
Will future historians look back and note that this was the decade the big data floodgates blew wide open? 90 percent of the world’s data has been created in the last two years, so why wouldn’t this be seen as the time the tide swelled and the wave of big data surged forward? IT managers, faced with the prospect of their company adopting a big data strategy, are having to think about ways of dealing with this torrent of multi-structured data sets and don’t have the benefit of hindsight. This is something real; something they’re having to think about every day. And how IT managers react to this oncoming big data wave will decide whether they sink, swim or ride it all the way towards glory (well, glory within the confines of their company and wider industry — but glory nevertheless).
The huge volumes of information people are creating and storing digitally, and the data that is subsequently generated from that information, is changing the face of business today. A gigabyte of stored data can generate more than a petabyte of related data, and companies that are able to extract value from this are in a powerful position to drive growth.
The wave of big data could possibly wash away businesses unprepared for it, so we’ve put together a primer for IT managers — something that you can cut out and keep, or pass on to your colleagues.
Every now and then something comes along that has the potential to change the face of business as we know it. Currently big data is being touted as that thing, and CIOs everywhere need to get a grip on what it is and how it can benefit their company.
The vast quantities of information people are creating and storing online, whether through social networks, blogs or other means, are creating huge data sets. What’s even bigger is the data generated by this information — a gigabyte of stored content can generate more than a petabyte of related data.
Extracting value from this data gives CIOs a golden opportunity to drive growth for their companies. That’s why we’ve put together a primer for you to show to your colleagues, teams and your CEOs, explaining what big data is and how companies are currently future-proofing their business models by implementing a big data strategy. Cut it out, keep it or pass it on.