PwC’s 2016 Big Decisions Survey focuses on how enterprises around the world are limiting risk and leveraging data to make the Big Decisions that will give them a competitive edge and reveals that less than a third of companies use predictive analytics. Over a quarter say they are just trying to survive in a state of disruption.
With insights across 15 industries such as banking & capital markets, communications, healthcare, energy, utilities & mining and technology, the survey of more than 2,100 company decision-makers and leaders found that:
PwC Ireland Data Analytics Partner, Darren O’Neill, said: “Data is an extremely under-leveraged asset within most organisations, and a company’s capability to access the right data at the right time can make or break the bottom line. The survey suggest that leaders are stuck at a crossroads, with 28% of decision-makers polled stating that they are just trying to survive in a state of disruption. Given the anticipated impact of each Big Decision on shareholder value, the stakes are high.
The survey clearly calls out that the often unrealised value of data can be used to lower the inherent risk in decision-making to become more agile and increasingly competitive.”
Other key survey findings include:
Richard Day, Data Services Partner, PwC Ireland concluded: “According to the survey, a significant proportion of respondents report not to be highly data-driven when it comes to important decisions and less than a third rely on predictive analytics. This is worrying. While human judgement and gut feel will always be part of the mix, key decisions in today’s disruptive world need the forward-looking precision and risk awareness that data and analytics can provide. Important decisions will only become more complex, but if you get your data to work for you, you will realise the benefits.
Notes to editors:
PwC’s Big Decisions Survey encourages companies to ask the right questions that will lead to data solutions. Companies need to not just collect big data, but question their sphere of discovery, understand how to find the questions worth asking (before looking for the answers in the data), build an awareness of who is responsible for making decisions and taking action and really think about how to track outcomes to determine if the best approach is being taken.