Barb Wixom reads MIT CISR's April 2021 research briefing, which she co-authored with Leslie Owens and Cynthia Beath. See the text version and related content at https://cisr.mit.edu/publication/2021_0401_DataHeartsMinds_WixomOwensBeath.

Abstract: Companies today are starting to walk the talk when it comes to treating data like a strategic firm asset—they are hiring chief data officers, and rolling out data literacy programs. This briefing describes what else is required for employees to believe that data can create value in new ways, that it can do so over and over and over again, and that everyone in the company can play a role. MIT CISR research indicates that leaders should build capabilities, optimize data monetization initiatives, and motivate pervasive data use, all of which can and should be measured.

Data Is Everybody’s Business

Barb Wixom reads MIT CISR's June 2022 research briefing, which she co-authored with Ida Someh and Cynthia Beath. See the text version and related content at https://cisr.mit.edu/publication/2022_0601_AdvancedAICapabilities_WixomSomehBeath.

Abstract: MIT CISR research identified that advanced levels of five data monetization capabilities –data science, data management, data platform, customer understanding, and acceptable data use—enable organizations to become AI-powered. In this briefing, we use a case study about AI at Microsoft to illustrate that organizations build advanced data monetization capabilities via the adoption of increasingly advanced practices. Further, we encourage leaders to take an enterprise capability perspective when capability building so that, over time, their AI projects become faster and cheaper to execute.

Building Advanced Data Monetization Capabilities for the AI-Powered Organization

This audio blog, the third and final in a series, recommends five guiding principles for success.
Published at:
https://www.eckerson.com/articles/the-customer-360-data-program-and-cloud-connectors-guiding-principles-for-success

The Customer 360 Data Program and Cloud Connectors: Guiding Principles for Success - Audio Blog

Hybrid development teams are critical to the success of a data & analytics program. Data leaders must invest time, energy, and thought to the creation of these teams and how best to support them. It’s critical that they allocate staff time to nurture knowledge flows between component groups.
Published at:
https://www.eckerson.com/articles/an-operating-model-for-data-analytics-part-ii-knowledge-flows

An Operating Model For Data & Analytics Part II: Knowledge Flows - Audio Blog

This blog explores four use cases for data orchestration and examples of the supporting architectural elements.
Published at:
https://www.eckerson.com/articles/architecting-data-orchestration-four-use-cases

Architecting Data Orchestration: Four Use Cases - Audio Blog

Business domains have a range of data &amp; analytics capabilities that enterprise data teams must support. The key is to ensure domain activity aligns with enterprise standards and best practices to ensure data consistency and avoid silos.
Published at: 
https://www.eckerson.com/articles/an-operating-model-for-data-analytics-part-iv-red-team-composition

An Operating Model For Data & Analytics Part IV: Red Team Composition - Audio Blog

Stephanie Woerner reads MIT CISR's November 2019 research briefing, which was authored by Barb Wixom and Killian Farrell. See the text version and related content at https://cisr.mit.edu/publication/2019_1101_DataMonCapsPersist_WixomFarrell.

Abstract: Data monetization—the direct or indirect conversion of data and analytics into financial returns—represents a key source of economic value for companies in the digital economy. This briefing draws on findings from an MIT CISR data monetization survey of 315 executives, sharing insights regarding the current state of data monetization capabilities and their impact on data monetization performance. The briefing explains that data monetization capabilities are evolutionary and specific to the monetization approach, which means that digital leaders must be persistent and purposed as they make capability investments.

Building Data Monetization Capabilities that Pay Off

Dan and Wayne discussed the concept of data and analytics operating models, which refers to how organizations organize their data and analytics resources for alignment and efficiency.

Analyst Series - Operating Models for Data & Analytics: How to Align Resources Across the Enterprise

This article compares data catalogs and data marketplaces and argues that you need both and will soon have both as vendors add data marketplace extensions.
Published at:
https://www.eckerson.com/articles/why-do-i-need-a-data-marketplace-when-i-have-a-data-catalog

Why Do I Need a Data Marketplace When I Have a Data Catalog? - Audio Blog

All data management activities—whether internally or externally focused—should either reduce costs or grow earnings.
Published at:
https://www.eckerson.com/articles/book-review-how-to-make-money-with-data

Book Review: How to Make Money with Data - Audio Blog

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.

A research center at the MIT Sloan School of Management, MIT CISR helps executives meet the challenge of leading dynamic, global, and information-intensive organizations.

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