“There is no general rule dictating how organizations should navigate the stages of big data maturity. They must each decide for themselves, based on their own situation – the competitive environment they are operating in, their business model, and their existing internal capabilities. In less-advanced sectors, with executives still grappling with existing data, making intelligent use of what they already possess may have a substantial impact on decision making.
The main priorities for executives are to:
• develop a clear (big) data strategy;
• prove the value of data in pilot schemes;
• identify the owner for “big data” in the organization and formally establish a “Chief Data Scientist” position (where applicable);
• recruit/train talent to ask the right questions and technical personnel to provide the systems and tools to allow data scientists to answer those questions;
• position big data as an integral element of the operating model; and establish a data-driven decision culture and launch a communication campaign around it.”