Published: 23 May 2024
Data and analytics is frequently cited as a top capability to improve decision making and outcomes. But the complex and decentralized nature of business environments and users is blocking value creation at an enterprise level. CDAOs should use value streams to harmonize efforts across silos.
Fragmented and disconnected decision making reduces value creation and limits organizations’ agility to respond to change.
Decentralized and autonomous data and analytics (D&A) offers benefits to business domains, but without alignment and collaboration across these domains, the result is inconsistent decision making.
Typical D&A organizational models are structured for function optimization, which can lead to them overlooking the cross-functional nature of value creation.
To optimize value delivery to customers, chief data and analytics officers (CDAOs) should:
Use the Gartner Decision Intelligence (GDI) Model to describe, connect and visualize decisions relevant to the flow of value in the organization’s value streams.
Drive decentralized D&A
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