Creating a Data-Driven Organization: Practical Advice from the Trenches

• Create, package, distribute, and continually improve the quality and usefulness of data and information assets


• Continually leverage these assets in multiple ways to create and enhance business value


• Measure, record, and track the business value generated by these data and information assets, and report this valu

The amount of data we now access has grown far faster than the general level of data literacy in companies. Most companies have too much data, it’s stored in too many places, it’s not ‘clean’ and it’s often more confusing than helpful when it comes to what matters – making decisions with it. We need to ensure companies create centralized yet custom

oriented to issues of data management and governance and system reliability.

Injecting data-driven mind-sets, processes, and cultures into enterprises isn’t easy, and it’s that much more difficult for companies that predate the big data boom.

“Data to Decisions” strategic initiative, believes that, without dramatic improvements, data volumes from next-generation sensors and the complexity of integrated systems will far outpace the ability of analysts to consume it.11

If an organization is serious about product and service generation with big data, it will need to create a platform for doing so—a set of tools, technologies, and people who are good at big data manipulation and the creation of new offerings based on

As we write, there is no shortage of evidence pointing to the conclusion that the ability to understand and use big data is increasingly one of the best differentiators for any organization.