In a previous post, we explained that the fifth stage of the Analytics Maturity Model, “Automate,” is when organizations take advantage of the time sensitivity of data to analyze real-time data and create automated actions based on events.
The sixth and final stage of the Analytics Maturity Model, “Transform,” is the ultimate stage of Analytics Maturity. At the “Transform” stage, a data-driven mindset has become embedded into the culture of the organization, from the executive suite to front-line decision-makers to statisticians who are analyzing and working on business and operational challenges and identifying new opportunities.
At this stage, employees serving in a variety of roles across the organization have become comfortable with the use of analytics, applying analytics to as many use cases as possible.
“Transform” represents a mind shift in which the organization has achieved a level of analytics maturity that is naturally data-focused.
Data and analytics are built into the innate workflow and as part of an organization’s day-to-day operations, helping to enable a culture of continuous improvement. Analytics is everywhere and it is used pervasively throughout the enterprise.
In fact, by this point, decision-makers don’t even think “analytics” anymore. Analytics is simply engrained into the fabric of the company. Knowledge and data is available wherever and whenever users need it – from their desktops or on the go.
Meanwhile, analytics is used for all types of applications, including identifying and acting to mitigate risk and discovering new business and market opportunities.
In the “Transform” stage, organizational use of analytics has matured to the point where decision-makers are continuously reviewing previous analytics-enabled decisions and refining best practices to attain the utmost business and operational results.
By fostering a culture of continuous improvement, data-driven organizations are able to achieve – and sustain – competitive advantage.