Maturity Model for Data and Analytics
Where are you on your data and analytics journey? Are you getting the value you expect from your business intelligence and analytics reporting environment. Are you still spending more time on gathering data than you spend analyzing your data? Applying a framework such as Gartner’s Data Maturity Model enables you to evaluate the level of your organization. To increase your company’s maturity level you can see what IT and Operational changes need to be implemented.
According to Gartner, “A worldwide survey of 196 organizations by Gartner, Inc. showed that 91 percent of organizations have not yet reached a “transformational” level of maturity in data and analytics.”
Use the model below to see your current data and analytics maturity.
Gartner Survey on Data and Analytics – 4 minute read
Level 1 – Basic Maturity
Companies in this level have basic reporting from source systems. They get their data from ad-hoc request to subject matter experts that can pull data into Excel and create pivots tables or simple graphs. Data is contained in silos and is combined in spreadsheets to try to get deeper insights.
Level 2 – Opportunistic
At this level companies may have a central reporting platform that enables custom reports. IT is supporting and implementing solutions that enable some insights into systems. Reports mash up data from different source systems to produce new insights. Data Quality issues start to emerge as data in different systems can be merged.
Level 3 – Systematic
A data and analytics strategy is defined to determine what is required to push the organization forward. Business executives become champions to change how data and analytics are used in the business. Data sources are integrated into single version of the truth. External data sources are added to provide additional context to data driven decisions.
Level 4 – Differentiating
A chief data officer is hired to transform how the business uses data and analytics. Business operations are being driven by data and not reactive. Critical decisions are being made to improve on a department level. A Business Intelligence Competency Center is created to share information and content.
Level 5 – Transformational
At this level, a business is running with a data first strategy. Strategy and operations are driven by data, analytics and machine learning. Employees from all levels are data aware and leverage data and analytics to make better decisions.
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