The Boston Consulting Group (BCG) predicts that by 2025, up to a quarter of jobs will be replaced by either smart software or robots. There are numerous articles being written, nowadays, on the plight of several professions — lawyers, financial advisors, accountants, etc., because of robo-lawyers, robo-advisors, and robo-accountants.

Business users want the power of analytics – but analytics can only be as good as the data being analysed. A survey by TDWI has revealed best practices to improve data preparation, finding 76% of businesses hope to increase data-driven decision making and 37% are currently unequipped to do so. 

“A good sketch is better than a long speech…” a quote often attributed to Napoleon Bonaparte. Companies are collecting, organising, storing, and analysing data from hundreds of sources, and the volume is increasing exponentially. But this data is only relevant if it can be used to drive outcomes and make timely business decisions. So it is essential to you can understand and evaluate the data quickly, and this is where data visualisation comes in.

To create value from data, you do need a big data strategy – right? Well, actually, probably not.  According to Gartner, the ‘all-encompassing data strategy’ fails around 60% of the time.  In fact, Gartner have even stopped publishing a Big Data ‘Hype Cycle’ (their measure of maturity and adoption of technologies).