Stephanie Woerner reads MIT CISR's January 2022 research briefing, which she co-authored with Peter Weill. See the text version and related content at https://cisr.mit.edu/publication/2022_0101_Dashboarding_WeillWoerner.

Abstract: In a digital business transformation, knowing where you are is as important as knowing where you want to go. To know where you are requires two important types of measures: those that indicate transformation success, such as progress and value creation; and those that track effectiveness at building capabilities future-ready companies must have to thrive in the digital era. The best tool we have seen companies use to know where they are is real-time dashboarding. In this briefing we share MIT CISR research on dashboarding, illustrating our findings using a case study from Schneider Electric.

Barb Wixom reads MIT CISR's December 2021 research briefing, which she co-authored with Ida Someh and Robert Gregory. See the text version and related content at https://cisr.mit.edu/publication/2021_1201_ScalingAI_WixomSomehGregory.

Abstract: Since 2019, MIT CISR has investigated fifty-two AI solutions to learn about AI scaling: growing the value created by both a core trained model and recontextualized adaptations of the model. This research has identified that scaling up happens when an AI solution moves from core model development to pilot to production, with increasing value creation. Further, scaling out happens when an AI model is trained using new data and new expertise, which are required for a new related application. This briefing describes both AI scaling dimensions within the context of an AI project journey at Pegasystems.

Joaquin Rodriguez reads MIT CISR's November 2021 research briefing, which he co-authored with Gabriele Piccoli and Barbara Wixom. See the text version and related content at https://cisr.mit.edu/publication/2021_1101_DigitalDataAssets_RodriguezPiccoliWixom.

Abstract: Data liquidity, the ease of data asset reuse and recombination accelerates the pursuit of new data monetization opportunities. This briefing introduces the concept of digital data asset, or DDA, as a pathway to building high data liquidity. A DDA is defined as a digital resource with three structural elements: value, modularity, and a programmatic interface. The unique structure of DDAs enables reuse and recombination of an organization’s data assets at an unprecedented scale. Open Banking efforts at Santander UK provide an excellent example of how data assets can be configured as DDAs and exposed to third parties at scale.

Ina Sebastian reads MIT CISR's October 2021 research briefing, which she co-authored with Nils Fonstad. See the text version and related content at https://cisr.mit.edu/publication/2021_1001_ModularProducerValue_SebastianFonstad.

Nils Fonstad reads MIT CISR's September 2021 research briefing, which he co-authored with Jukka Salonen. See the text version and related content at https://cisr.mit.edu/publication/2021_0801_DynamicCapabilities_WoernerOwensBeath.

Stephanie Woerner reads MIT CISR's August 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_0901_FourPrinciples_FonstadSalonen.

Nick van der Meulen reads MIT CISR's July 2021 research briefing, which he co-authored with Cynthia Beath. See the text version and related content at https://cisr.mit.edu/publication/2021_0701_DecisionRightsAcceleration_MeulenBeath

Dorothy Leidner reads MIT CISR's June 2021 research briefing, which she co-authored with Olgerta Tona, Barb Wixom, and Ida Someh. See the text version and related content at https://cisr.mit.edu/publication/2021_0601_DignityDataUse_TonaLeidnerWixomSomeh.

Barb Wixom reads MIT CISR's May 2021 research briefing, which she co-authored with Gabriele Piccoli. See the text version and related content at https://cisr.mit.edu/publication/2021_0501_DataLiquidity_WixomPiccoli.

This briefing introduces the concept of data liquidity, defined as the ease of data asset reuse and recombination. While data is inherently reusable and recombinable, an organization must activate these characteristics by creating strategic data assets and building out its data monetization capabilities. As the company’s strategic data assets become more highly liquid and their number grows, data is made increasingly available for conversion to value, and the company’s data monetization accelerates. Fidelity is an excellent example of a company that is actively creating highly liquid strategic data assets for use enterprise wide.

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.