Big Data Fabric Capability Maturity Model
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A Capability Maturity Model for Big Data Fabric
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Big Data Fabric Capability Maturity Model
- 1. • Siloed analytical capability • No metadata catalogue • Inconsistent tool usage • Suboptimal platforms • No view of data value • Data Stewardship introduced • Data Value Council set up • Opportunities road-mapped • Metadata catalogue in place • Data quality defined • Enhanced data landscape • Enhanced analytical tools • Big Data Fabric started • Data team career model in place • Data Stewardship mature • Data Value Council mature • Benefit realisation monitored • Metadata catalogue crowd- sourced • Data quality implemented • Data landscape mature • Analytical tools mature • Big Data Fabric maturing • Predictive analytics common • Some prescriptive analytics • Experiments with Artificial Intelligence • Big Data Fabric implemented • Data team mature • Data is an enterprise asset - the foundation of the collective intelligence • Data drives business value through insight and innovation • Data-driven decision making is embedded in the culture • Data drives enhanced business capabilities and outcomes across the enterprise • Many successful analytics implementations • Metadata catalogue automatically populated • Big Data Fabric mature • Prescriptive analytics common • Some Artificial Intelligence implementations • Data team enabling others • Other organisations see this as an exemplar of world class Big Data Fabric capability • Staff publish materials about “how to” become a data- driven enterprise • Data team coaches others to become Data Citizens • Metadata catalogue is used to drive analytics initiatives • Data quality is continually improved • Big Data Fabric complete, logged and monitored • Data lineage is known and tracked • Data lifecycle is managed • Descriptive, Predictive & Prescriptive Analytics mature • Artificial Intelligence advisors used throughout the organisation • A large proportion of analytical tasks are automated Nascent Governed Mature World Class Data-Driven