E-book
How to Succeed with Self-Service Analytics: Balancing Empowerment and Governance
March 23, 2020 This report describes why self-service analytics seems so easy in theory but is challenging in practice, and how to do it right.
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All topics
Self-Service
Self-Service
Self-service is easy to promise, but hard to deliver without creating chaos. How do you balance user empowerment with sufficient governance to ensure data consistency and trustworthiness? Self-service is not a tool; it's the culmination of doing everything else right in your data environment, from data architecture and governance to an operating model.
Blog
Part I - Self-Service Analytics: What Could Possibly Go Wrong?
July 11, 2016 Self-service analytics is a win-win proposition for both business users and the information technology (IT) department. So why do most organizations...
Blog
Part II: One Size Does Not Fit All: Customizing Self-Service Analytics For Business Users
August 2, 2016 Many BI leaders don’t recognize that there is no single formula to self-service success. In fact, self-service is different for every business user....
Blog
Part III - Self-Service Workflows: Curate, Create, Consume
August 19, 2016 Contrary to what many vendors proselytize, the goal of BI is to minimize the need for self-service, not maximize its use.
Blog
Self-Service is the Outcome, Not the Driver of a Data-Driven Organization
August 16, 2024 Many data leaders want to implement self-service, but don’t realize that they first have to implement the right architecture, governance, operating...
Podcast
Jeff Magnusson: How To Create A Self-Service Data Platform For Data Scientists
In this podcast, Wayne Eckerson and Jeff Magnusson discuss a self-service model for data science work and the role of a data platform in that environment. Magnusson also talks about Flotilla, a new open source API that makes it easy for data scientists to execute tasks on the data platform.
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E-book
Operating Models for Data & Analytics: How to Align Resources Across the Enterprise
March 10, 2023 An operating model aligns data & analytics resources across the enterprise. Its goal is to push development close to the business while maintaining...
Report
A Reference Architecture for Self-Service Analytics
September 1, 2016 To succeed with self-service analytics, organizations need a reference architecture that maps business users, technology, and developers to an...
Speech
What Works Series Slides: Data Zones for all Consumers
May 7, 2024 In this session, Wayne and Carlos discuss the concept of data zones, which are areas of data storage that satisfy diverse types of analytics consumption.
Report
Data Architecture as a Service: Empowering the Business to Build Compliant Pipelines
September 27, 2022 Data architecture-as-a-service (DAaaS) is a new self-service paradigm that empowers business users to create architecturally compliant data pipelines...
E-book
Making the Most of Your Data Analysts: Strategies to Empower, Align, and Retain Them
November 16, 2022 Data analysts are pivotal to the success of a data and analytics program. Whether data analysts are centralized or embedded in departments, data leaders need to hire, evaluate, and coach them, empower them with proper tools, and provide a career ladder to keep them active and engaged in the organization.
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Blog
Self-Service Triumvirate: The New Data Analyst Workbench
October 3, 2018 A data analyst workbench that integrates data catalog, data preparation, and data analysis functionality is inevitable.
Blog
Analytics Operating Model: How to Manage Requests in a Self-Service Environment
April 15, 2021 Self-service analytics needs the right people in the right roles doing the right things. But that requires a carefully crafted analytics operating model.
Podcast
Angie Davis: Overcoming Report and Data Governance Obstacles
October 25, 2019 In this episode, Wayne Eckerson and Angie Davis discuss how organizations can achieve better data governance with simple processes.
E-book
Making the Most of Your Data Analysts: Strategies to Empower, Align, and Retain Them
November 16, 2022 Data analysts are pivotal to the success of a data and analytics program. Whether data analysts are centralized or embedded in departments, data leaders...
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