Gartner’s recent CIO insights document shows that BI/analytics is the number one (and growing) priority for CIOs globally.
Additionally, respondents to the recent Computerworld Forecast survey who said they plan to add IT positions in the next 12 months, listed BI/analytics expertise as the skill set they expect to have the hardest time finding.
Well who would have thought it? Anyone involved in hiring people with BI/analytics skills would testify to the fact that the good people are in great demand. It’s a huge area, and an area we spend all of our days recruiting for.
So which skills within the world of BI/analytics are going to be the hottest in 2015?
1: Big Data
Of course, what else? As we now seem to be up to 7 Vs from the original 3 I’m not going to write about Big Data, it’s been written about more than pretty much anything else this year by many more qualified people than me. But any big data project is irrelevant without No 2 and 3 in my list.
2: Information Management Strategy
Not BI/analytics is it? True, but unless you have a clear Data/Information Management strategy in place there is not much point in running yet another BI project that will over run and probably deliver fancy reports and dashboards on incomplete, and just plain wrong, data.
3: Data Governance
That’s not BI/analytics again, surely? Maybe not, but without a solid Data Governance structure and culture behind any large scale BI/analytics programme you are setting yourself up to fail so it gets my vote at No 3.
4: Data visualisation
Everyone loves a pretty picture. That’s not as glib a comment as it may seem but an intelligent picture really can tell a thousand words. I for one get blinded by too many rows on a spreadsheet or two much information on a report, but show me a nice Venn or a bar chart, with the required detail behind it and I can be much more informed, faster than with just the written facts and figures. Leading tools come from Qliksense and Tableau.
5: Data Blending
In the new world of Big Data you may find that your enterprise Data Warehouse is not the right vehicle to pull all of the fast moving, disparate data sources together. The Likes of Alteryx and Pentaho may provide the answer but in a truly enterprise world you are probably best sticking to …
6: Data Warehouse automation
The Data Warehouse has been around a long time but is traditionally slow and expensive to build, and even more expensive to maintain. Never before has it been so straightforward to build and enhance your Data Warehouse as Kalido and Wherescape mature their products and make agile Data Warehousing a realistic alternative to having teams of ETL developers coding for months (or years) on end.
7: In memory analytics
This technology has been around for a while now but there are a number of vendors giving a variety of tools to suit your budget and the scale of your data crunching needs. Amongst the independents (without the baggage of having to work within the constraints and upselling say an SAP or IBM) you have Exasol and Zizo. Or you can always go for HANA and suddenly find you are paying for SAP’s full suite of software without realising it
8: Cloud BI
Everyone’s talking about The Cloud and there is no doubt it is here to stay. It seems fitting that one of the leading independent cloud BI vendors is based on the rainy plains of Cheshire, so Matillion BI is tipped for the top. Currently aimed at mid-sized companies their open source stack is sure to develop to scale to enterprise corporates. From the US comes Birst and with a partnership in place with HANA they may well have the march on the enterprise for now.
9: Data Quality
Rubbish in, rubbish out. And if your data is big then you are just going to process more rubbish unless your DQ is up to speed.
Sounds corny coming from a recruiter, surely. Probably, but if you do not have the skills in place to deliver any BI/analytics project beyond the initial vendor support scoping then you are doomed to fail. And I think I might know someone who can help…