Tag: data

An Effective AI Strategy Demands a Sound Data Strategy | In the News

A data strategy outlines how an organization will manage and leverage its data assets to achieve its business objectives. It involves defining the data architecture, governance, management, and analytics practices used to ensure that data is accurate, accessible, and secure.

“I can’t stress this enough: data or the lack of the right data strategy is the number one bottleneck to scaling or doing anything with AI,” said Nitish Mittal, Partner at Everest Group. “When clients come to us with what they think is an AI problem, it is almost always a data problem. AI depends on viable data to prosper. That’s why it’s important to think about the data first.”

Read more in TechCentral.

7 Expert Recommended Data Observability Tools | In the News

Analysts and end users have sought data observability for years, but a recent shift has changed how business processes use these tools, leaving organizations with plenty to consider when selecting which tool is best to use and if the commercial investment is worth it.

“Investments in commercial data observability tools and initiatives need to be made from the perspective of the overall business, internal users, and customers,” said Alisha Mittal, a Vice President in IT services at Everest Group.

Read more in TechTarget

Data and Analytics D&A Services PEAK Matrix® Assessment 2022

Top Data and Analytics (D&A) Services

Global macroeconomic conditions indicate the rising probability of a recession. Despite the resulting cost pressures, enterprise demand for data and analytics (D&A) services is rising as enterprises realize that data-driven solutions focused on cost optimization and competitive advantage are critical to tackle and survive the slowdown. Service providers can help enterprises meet their objectives by formulating a vision for D&A, modernizing the D&A landscape, and providing the right talent and skill sets to achieve business outcomes.

This research presents detailed profiles and assessments of 30 IT service providers featured on Everest Group’s D&A Services PEAK Matrix® 2022. Each profile provides a comprehensive picture of the service provider’s service focus, key Intellectual Property (IP) / solutions, and domain investments, as well as case studies.

DOWNLOAD THE FULL REPORT Data and Analytics (D&A) Services PEAK Matrix® Assessment 2022


Data and Analytics (D&A) Services PEAK Matrix® Assessment 2022: What is the Scope?

  • All industries and geographies
  • Everest Group shortlisted service providers for the D&A services PEAK Matrix® assessment based on the following criteria:
    • The service provider should have a separate team and dedicated leadership for its D&A services
    • It should have a meaningful presence across all D&A value chain segments
    • It must have substantial annual revenue from its D&A services practice
  • The assessment is based on Everest Group’s annual RFI process for the calendar year 2021, interactions with leading D&A service providers, client reference checks, and an ongoing analysis of the D&A services market 

What is in this PEAK Matrix® Report:

This report features 30 D&A service provider profiles, each of which includes:

  • An overview of the provider’s D&A services business and offerings – vision, scale, and extent of adoption of its D&A services across enterprise segments and geographies
  • An assessment of the provider’s D&A services delivery capabilities, domain investments, key solutions, and partnerships
  • A detailed assessment of each provider’s strengths and limitations

LEARN MORE ABOUT Data and Analytics (D&A) Services PEAK Matrix® Assessment 2022

Our Thinking

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GAIA-X Summit 2020: Key Takeaways and the Future of Data Sovereignty in Europe

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Five Commandments to Formulate an Effective Enterprise D&A Strategy

Data management

Data Management: An Unwitting Game of Russian Roulette


Data Analytics and Data Management Market

Life Sciences Enterprise Challenges to Fully Adopting Analytics AI Solutions
Market Insights™

Life Sciences Enterprise Challenges to Fully Adopting Analytics & AI Solutions

Commercial Analytics AI Solutions Are Driving Many Benefits for Life Sciences Enterprises
Market Insights™

Commercial Analytics & AI Solutions Are Driving Many Benefits for Life Sciences Enterprises

Maximizing HR Impact with Analytics Tools
Market Insights™

Maximizing HR Impact with Analytics Tools

Life Sciences Commercial Start-ups Differentiators
Market Insights™

Life Sciences Commercial Start-ups Differentiators

Data and Analytics (D&A) Services
PEAK Matrix®

Data and Analytics (D&A) Services for Mid-market Enterprises PEAK Matrix® Assessment 2023

What is the PEAK Matrix®?

The PEAK Matrix® provides an objective, data-driven assessment of service and technology providers based on their overall capability and market impact across different global services markets, classifying them into three categories: Leaders, Major Contenders, and Aspirants.

LEARN MORE ABOUT Top Service Providers

Which Enterprises Achieve Best ROI on Data and Analytics Initiatives? Everest Group Reveals Who and How | Press Release

Enterprises that achieve the greatest success with data and analytics focus on customer experience and revenue growth

Those enterprises that outperform their peers in data and analytics within their global in-house centers (GICs) have an entirely different mindset than all the rest, according to Everest Group. The best-of-the-best organizations are intent on using data and analytics to improve effectiveness of existing delivery teams and achieve improved customer experience and revenue growth, whereas other enterprises focus primarily on cost savings.

“Interestingly, those organizations that focus their GIC’s data and analytics efforts on higher-level business impact also achieve far better cost-savings—three times as much—than those who focus on cost-savings alone,” said H. Karthik, partner at Everest Group.

Everest Group recently assessed the data and analytics capabilities of 50 enterprises’ global in-house centers (GICs) and also appraised the business outcomes of their data and analytics initiatives. Five GICs were deemed Pinnacle GICs™ for their ability to achieve significant impact through data and analytics, both in terms of cost savings and improvement in operational and strategic/business indicators.

In comparison to other GICs implementing data and analytics initiatives, Pinnacle GICs

  • Realized 1.3 to 1.5 times greater improvement in strategic areas as compared to other GICs. For example, Pinnacle GICs demonstrate much higher improvement in customer experience scores, top-line revenue growth and employee satisfaction as well as greater reduction in fraud- and risk-related incidents.
  • Achieved 1.4 times more improvement in staff productivity. Eighty percent of Pinnacle GICs witnessed significant improvement in staff productivity as compared to 39% of other GICs.
  • Generated 3 times the cost savings for the enterprise. Average cost savings (beyond cost arbitrage) delivered by Pinnacle GICs is 55% versus 19% cost savings delivered by other GICs.

These results and other findings are explored in a recently published Everest Group report: “Data and Analytics Maturity in GICs: Pinnacle Model™ Analysis.” Everest Group’s Pinnacle Model research methodology is designed to illuminate the best practices of global enterprises that are most effectively developing and deploying capabilities to achieve business outcomes.

“Pinnacle GICs teach us a great deal about how to achieve the greatest return on data and analytics investments,” said Karthik. “We have found that the journeys of Pinnacle GICs are quite unique, differing greatly from others not only in their technological and people capabilities but also in in their vision, their operating models, and the strategic, proactive role they play within the parent organization.”

With respect to successful data and analytics initiatives, Pinnacle GICs have these key enablers and investments in common:

  • Serve as their parent enterprise’s strategic partner in global data and analytics programs and are two times more likely to proactively develop solutions ahead of demand. Also, many more Pinnacle GICs drive enterprise-wide initiatives (100% for Pinnacle GICs versus 20% for others).
  • Achieve greater adoption of data and analytics across functions. Best-in-class GICs have achieved more than 50% penetration for multiple functions.
  • Own entirely the enterprise’s capability in key areas such as data management (60% of Pinnacle GICs), modeling and decision support (60%), visualization/dashboarding (80%) and data trust (60%).
  • Spend 1.7 times as much as other GICs, which allows them to invest in specific skills and technologies.

***Download a complimentary abstract of the report***

About Everest Group
Everest Group is a consulting and research firm focused on strategic IT, business services, engineering services, and sourcing. We are trusted advisors to senior executives of leading enterprises, providers, and investors. Our firm helps clients improve operational and financial performance through a hands-on process that supports them in making well-informed decisions that deliver high-impact results and achieve sustained value. Our insight and guidance empowers clients to improve organizational efficiency, effectiveness, agility and responsiveness. What sets Everest Group apart is the integration of deep sourcing knowledge, problem-solving skills and original research. Details and in-depth content are available at http://www.everestgrp.com.

Spotlight on Salesforce’s Acquisition of Tableau | Blog

On June 10, 2019, Salesforce announced an agreement to acquire Tableau, a leading interactive data visualization company, for US$15.7 billion in an all-stock deal. Here’s our take on it.

Strategic Intent behind the Deal

The announcement is a masterful move to aid Salesforce’s hyper growth agenda to become a US$28 billion company in three years’ time. In the past 15 months, Salesforce has accelerated the data pivot through its acquisitions of Mulesoft in March 2018 and now Tableau, for a combined value of $22.2 billion.

Given its ambitious topline growth goals, Salesforce has hedged its bet against a pure cloud play. Tableau, which is not a cloud company, runs most of its products on-premise, with over one-third deployments in the cloud. However, last year, Tableau announced that its products will also be available on hyperscalers’ cloud platforms (AWS, Microsoft Azure, and GCP.) Addressing the ubiquity of data in a modern enterprise and recognizing the transition in software consumption pattern, Salesforce is taking an “anytime, anywhere” analytics approach to cater to enterprise’s hybrid cloud-first mandate.

In addition, Tableau’s strong performance against rivals including IBM Cognos, MicroStrategy, Oracle BI, and QlikView makes a strong case for the acquisition, given Salesforce’s big bet on its Customer 360 initiative and its broader foray into empowering clients with data analytics and visualization capabilities.

Enhancing the Data Analytics and Experience Pivot

Salesforce, a veteran in the CRM space, is repositioning itself as a digital experience (DX) platform, wherein it intends to become a one-stop, end-to-end solution for enterprises’ DX needs. It has been making strategic acquisitions over the years to plug in the gaps in its DX platform portfolio to achieve this goal.

SFDC Acquisition blog DX image

Because Tableau and Salesforce’s in-house analytics tool, Einstein Analytics, can easily interoperate, the company will be able to sell a well-packaged data analytics offering. Tableau’s niche capabilities in data analytics will not only deliver an improved data management solution but will also help enterprises form data-intensive strategies and optimize the overall stakeholder experience. And, the acquisition gives Salesforce new up- and cross-sell opportunities, as enterprises will be able to purchase CRM and business intelligence (BI) capabilities from a single vendor.

Gaining a Full View of Enterprise Data

Looking at the timeline of Salesforce’s acquisitions, we see a strategic shift from targeting digital marketing and commerce space toward enhancing enterprise data lifecycle management. Since 2018, Salesforce’s top deals have been to expand its coverage in the data and analytics space. Undoubtedly, the move has given Salesforce a shot in the arm when it comes to showcasing its capabilities across the data management value chain. Tableau sits atop of its acquisitions, plugging in multiple outside data sources and offering an easy to use UI for data visualization.

SFDC Acquisition blog CRM image

Indeed, Salesforce’s acquisition of Tableau is a strategic next step after its 2018 acquisition of MuleSoft. While Salesforce leveraged Mulesoft to create a “Salesforce Integration Cloud” that allows different cloud applications to connect via APIs, Tableau can help it gain deeper insights in this data, in turn driving enterprises toward data-driven decision making.

Data Orchestration Meets Cognitive

We give a thumbs up to this deal, particularly for what it means to the market going forward. Why?

The move fits well with Salesforce’s agenda to move into machine learning-driven analytics. Essentially, it will now have a strong BI tool, underpinned by AI, that will democratize enterprise access to next-generation data modeling and analytics capabilities.  A Tableau-integrated Salesforce Einstein Analytics offering should be able to deliver an intelligent, intuitive analytics and data visualization platform that leverages enterprise-wide data to help enterprise customers, employees, and partners with well-curated insights.

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