Big data with little data
The most important thing for utilities to keep in mind when it comes to achieving value from data analytics is that they already have most – if not all – the data they need to improve decision making. Indeed, while the utilities industry globally may face many strains, this is one area where wealth prevails and the potential exists to create the next generation of operational efficiency. Nevertheless, utilities should not lose themselves in their big data. What’s important is starting small and scaling, constantly reviewing results for patterns and correlations, with a view to narrowing in on what’s of interest. It is no longer about data processing, but rather about understanding data.