Gartner Reports
At Parsionate, we focus on mid-sized and large businesses that are used to working with leading global research and advisory firms such as Gartner. That's why we decided early on not to reinvent the wheel and to lull our clients to sleep with countless new terms and methods - as many other consultants do. Our process model in MDM consulting is based on established standards, which we have analyzed and refined.

On this page, you will find, every 1-2 months, new analysts’ documents from Gartner. We are convinced that this will prove to be of great value to you, our customers, partners and colleagues.
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"Generative AI Requires New Data, Business and AI Competencies" by Gartner®

"Traditional data science approaches and skills are inadequate for piloting or putting into production most generative AI solutions. Data and analytics leaders must establish new skills capable of harnessing the power of GenAI."

Published: 02 July 2024
Analyst(s): Tong Zhang, Ben Yan, Mike Fang

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Previous Reports

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"How to Design an Effective Data and Analytics Governance Operating Model" by Gartner®

"Data and analytics governance operating models must be flexible and scalable for diverse initiatives and interconnect with other governance bodies. Data and analytics leaders can use this research to design an optimal governance operating model for their organization and its business objectives."

Published: 04 March 2024  
Analysts: Saul Judah, Andrew White, Sarah Turkaly

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"How to Measure and Communicate the Business Value of MDM" by Gartner®

"Funding and eventual success of MDM programs rely on measuring and communicating the value of MDM and its role in achieving business outcomes. Data and analytics leaders must take a structured approach to quantify and explain how improvements in master data enable key business objectives."

Published: 19 July 2023  
Analysts: Sally Parker, Andrew White

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"Hype Cycle for Data and Analytics Programs and Practices, 2023" by Gartner®

"Data and analytics hype is at a fever pitch and inflection point with innovation and AI center stage. CDAOs are pressured to deliver on enterprise business value by driving growth, productivity and innovation. This research helps CDAOs navigate this challenging environment and plan offensive action."

Published: 26 July 2023  
Analysts: Donna Medeiros, Andrew White, Michael Gabbard

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"Top Trends in Data and Analytics, 2023" by Gartner

"Top trends in data and analytics technology and practices can help anticipate change and transform uncertainty into opportunity. Data and analytics leaders must factor these trends into key investments that drive new growth, efficiency, resilience and innovation."

Published: 28 March 2023
Analysts: Gareth Herschel, Ramke Ramakrishnan, Pieter den Hamer, Thornton Craig,Rita Sallam, Leah Ciavardini, Lydia Clougherty Jones, Adam Ronthal, Andrew White, Ankush Jain, Avivah Litan, Carlie Idoine, David Pidsley, Donald Feinberg, Ehtisham Zaidi, Erick Brethenoux, Gabriele Rigon, Jason Medd, Julian Sun, Lydia Ferguson, Mark Beyer, Mayank Talwar, Melody Chien, Robert Thanaraj, Sumit Agarwal, Svetlana Sicular, Georgia O'Callaghan, Alan D. Duncan

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"Drive Seamless Digital Customer Experiences with Composable UX" by Gartner

"Most organizations struggle to deliver seamless digital experiences across the touchpoints of the customer journey. Application leaders in charge of customer experience should implement a composable user experience aligned with specific personas."

Refreshed: 24 February 2023, Published: 26 October 2021
Analysts: Irina Guseva, Don Scheibenreif, Jason Wong, Gene Alvarez, John Field

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"Market Guide for Product Information Management Solutions" by Gartner

"The complexity of digital commerce is driving organizations to optimize the creation, maintenance and publishing of product information to downstream channels. Data and analytics leaders should use this Market Guide to evaluate benefits and choices across the product information management market."

Published: 20 September 2022
Analyst: Helen Grimster

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"7 Must-Have Foundations for Modern Data and Analytics Governance" by Gartner

"Data and analytics leaders can exploit business opportunities and challenges only if they have established the right foundations for data and analytics governance. Now is the time to lay down the must-have governance foundations for future data and analytics success."

Published: 09 February 2021
Analyst: Saul Judah

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"Hype Cycle for Digital Business Capabilities, 2021" by Gartner

"Digital business continues changing the way organizations approach and execute strategy. New concepts are forcing the evaluation of competitive advantage and disrupting industries.Executive leaders can future-proof their strategy and leapfrog the competition by adopting the concepts in this research."

Published: 26 October 2021
Analysts: David Furlonger, Mark Raskino, Stephen Smith

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"How To Measure The Business Value Of Master Data Management" by Gartner

"The success of MDM programs is jeopardized when data and analytics leaders fail to measure how MDM is contributing to business outcomes. Data and analytics leaders must take a structured approach to quantify how improvements in master data are enabling key business objectives."

Published: 9 July 2021
Analysts: Malcolm Hawker, Simon Walker, Sally Parker, Divya Radhakrishnan

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"Gartner Hype Cycle for Data and Analytics Governance and Master Data Management, 2021" by Gartner

"Data and analytics leaders must be able to evaluate and select the right decision and trust frameworks to drive organizational change and deliver business value. This report identifies the latest trends and innovations driving data and analytics governance and master data management."

Published: 20 July 2021
Analysts: Saul Judah, Andrew White

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"Articulating MDM Value to the Business" by Gartner

"Master data management programs must be tied to business outcomes to secure sustainable stakeholder commitment. Data and analytics leaders can use the scenarios covered in this note to map and articulate where and how MDM can deliver the desired business outcomes."

Published: 19 October 2020
Analysts: Divya Radhakrishnan, Simon Walker, Sally Parker

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"Getting Started With Master Data Management in Midsize Enterprises" by Gartner

"Trusted master data is required to be a data-driven organization. Ineffective MDM undermines midsize enterprises’ success, resulting in poor decision making, inefficient business operations and customer dissatisfaction. CIOs must take a pragmatic approach to MDM to support digital business goals."

Published: 23 March 2021
Analysts: Sally Parker, Alan D. Duncan

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"Tie Your Data and Analytics Initiatives to Stakeholders and Their Business Goals" by Gartner

"Data and analytics strategies are shifting from “how to create a successful initiative” to “how do we use our capabilities to make the organization successful.” As a result, data and analytics leaders, including chief data officers, need to include stakeholder needs analysis as part of their strategy."

Published: 09 June 2020
Analysts: Frank Buytendijk, Mike Rollings, Alan D. Duncan

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"How to Use AI to Improve the Customer Experience" by Gartner

"Artificial intelligence continues to transform the customer experience through a deeper understanding of customer behavior. Data and analytics leaders should engage with customer experience leaders to identify use cases that align with and extend existing CX initiatives."

Published: 16 April 2020
Analysts: David Norrie, Melissa Davis

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"CRM Success Requires Master Data Management Integration" by Gartner

"An urgent digital business priority — enhancing the customer relationship — hinges on optimized and integrated master data. Application leaders supporting enterprisewide CRM strategy must prioritize and plan for master data management integration to ensure CRM success."

Published: 19 November 2020
Analysts: Ilona Hansen, Malcolm Hawker, Varun Agarwal

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"Market Guide for Product Information Management Solutions" by Gartner

"The complexity of digital commerce is driving organizations to optimize the creation, maintenance and publishing of product information to customer channels. Data and analytics leaders should use this market guide to evaluate benefits and technology choices of PIM solutions."

Published: 12 October 2020
Analysts: Simon Walker

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"Steps to Build a Successful Business Case for MDM Programs" by Gartner

"A solid business case is essential for a successful MDM program. Data and analytics leaders should use Gartner’s seven-step process to develop a business case that secures engagement from business stakeholders and demonstrates business value through measurable key performance indicators."

Published: 7 April 2020
Analysts: Malcolm Hawker, Simon Walker, Sally Parker

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"5 Pitfalls to Avoid When Designing an Effective Data and Analytics Organization" by Gartner

"To deliver real business outcomes from data-driven programs, an effective data and analytics organization is required. Data and analytics leaders can use this research to understand the main design challenges of the data and analytics organizational model and how to overcome them."

Published: 01 May 2020
Analysts: Jorgen Heizenberg, Alan D. Duncan

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"Evolve from Product Information Management to Product Experience Management with a 360-Degree Analytics Strategy" by Gartner

"Organizations need to evolve from product information management to product experience management. In doing so, data and analytics leaders will unlock greater business value through their programs by connecting product information to product analytics to optimize product experiences for customers."

Published: 05 May 2020
Analysts: Simon Walker

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"Top 10 Data and Analytics Technology Trends That Will Change Your Business" by Gartner

"These data and analytics technology trends will have significant disruptive potential over the next three to five years. Data and analytics leaders must examine their business impacts and adjust their operating, business and strategy models accordingly."

Published: 11 April 2019
Analysts: Rita Sallam, Donald Feinberg, Mark Beyer, W. Roy Schulte, Alexander Linden, Joseph Unsworth, Svetlana Sicular, Nick Heudecker, Ehtisham Zaidi, Adam Ronthal, Erick Brethenoux, Pieter den Hamer, Alys Woodward

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"Choose Between Customer Data Platforms and MDM Solutions for 360-Degree Customer Insights" by Gartner

"Customer data platforms and master data management solutions both enable “360-degree” customer insights, but are optimized for different uses. Data and analytics leaders must evaluate the expected use cases and desired business outcomes of both."

Published: 30 January 2020
Analysts: Malcolm Hawker, Simon Walker, Sally Parker

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"Gartner Magic Quadrant for Master Data Management Solutions" by Gartner

"The MDM market is showing a significant move from high cost and complexity to license flexibility and implementation agility. Data and analytics leaders can use this Magic Quadrant to help them navigate through a wide choice of enterprise MDM solutions."

Published: 12 January 2020
Analysts: Simon Walker, Alan Dayley, Sally Parker, Malcolm Hawker

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"Think Big, Start Small, Be Prepared — Master Data Management" by Gartner

"MDM is a complex, costly undertaking. As a technology-enabled business initiative, software alone cannot meet the challenge. Data and analytics leaders should compare available options against strategic goals to make an informed decision on organizational readiness to adopt enterprise MDM."

Published: 28 October 2019
Analysts: Sally Parker, Simon Walkeri

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"Best Practices for Cost Optimizing Your Data Management Program" by Gartner

"Data and analytics leaders must focus on the discipline of cost optimization as they work to make data management essential to the organization's digital future. Applying cost optimization techniques across all five data management disciplines will greatly reduce costs and maximize business value."

Published: 05 September 2018
Analysts: Ehtisham Zaidi, Eric Thoo, Mei Selvage, Ted Friedman, Saul Judah, Adam Ronthal, Roxane Edjlali, Guido De Simoni

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"How to Create a Business Case for a Master Data Management Program" by Gartner

"A solid business case is essential for a successful MDM program. Data and analytics leaders should use Gartner’s seven-step process to develop a business case that will attract engagement from business stakeholders and demonstrate business value through measurable key performance indicators."

Published: 08 October 2018
Analysts: Bill O'Kane, Michael Moran, Simon Walker

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