Published: 07 March 2024
Self-service analytics initiatives often fail to deliver on their full potential due to challenges with governance, trust, scalability and adoption. This guidance framework helps data and analytics technical professionals to overcome these barriers and mature their SSA initiatives.
Organizations often experience an initial uptake of self-service analytics (SSA) among interested business users but cultural barriers, such as resistance to change, often hinder more widespread adoption.
Organizations with a high adoption of SSA typically experience significant challenges with efficiency, quality, security and governance, which leads to a lack of trust and misuse of data.
D&A technical professionals are hesitant to implement governance measures into long-standing SSA programs for fear of annoying users and reducing business agility.
Data and analytics technical professionals attempting to govern and scale self-service analytics should:
Tidy the self-service environment by minimizing duplication
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