Enterprises are significantly investing in data and AI, yet many are struggling to achieve meaningful returns. The underlying issue in most cases is a weak or fragmented data foundation. Addressing this challenge requires first understanding what data foundation truly means within the enterprise’s context – starting with a clear assessment of data maturity. This Viewpoint introduces the Data Transformation Success Model (DTSM), a comprehensive framework that helps enterprises evaluate and elevate their data maturity across five interconnected pillars: vision and strategy, data technology and consumption, governance, people, and processes. By identifying capability gaps and benchmarking progress, DTSM enables organizations to build a strong, scalable foundation that supports long-term business goals.  The report also highlights common pitfalls in data transformation and offers practical recommendations to overcome them. With DTSM, enterprises can align data strategies with organizational objectives, improve RoI, and drive meaningful transformation. The model’s maturity classification – laggard, typical, or advanced – helps organizations understand where they stand and develop targeted roadmaps to reach their desired state. Scope All industries and geographies Contents In this report, we examine: Why ambitious data and AI initiatives fail How to ensure success with data maturity assessment DTSM and its parameters What different data maturity stages look like Best practices for data officers

In today’s rapidly evolving digital landscape, vector databases are emerging as a key enabler for enterprises looking to harness the potential of unstructured data, particularly in the realm of agentic AI. As organizations generate vast amounts of unstructured data, traditional databases struggle to process and query this information effectively. Vector databases provide a solution by representing data as high-dimensional vectors, allowing for more efficient search, retrieval, and analysis. This report explores vector databases’ role in the modern AI ecosystem, examining their impact on unstructured data management, their comparison with traditional databases, and their growing adoption across industries. It highlights their importance in powering AI-driven applications such as personalization, recommendation systems, and vector search. The report also discusses the challenges enterprises face in adopting these technologies, the evolving supplier landscape, and the future of vector databases as they continue to be essential in digital transformation. Scope All industries and geographies Contents In this report, we examine: Vector databases against traditional databases Their role in generative AI implementations Their current adoption and supplier landscape The adoption challenges enterprises face Emerging trends in the vector database management system market The way forward with vectors

As businesses generate and rely on vast amounts of data, managing its complexity becomes a pressing challenge. Without a structured approach, data inconsistencies can disrupt operations, compromise decision-making, and reduce AI-driven insights’ effectiveness. Master Data Management (MDM) serves as a foundational system that unifies essential business data, creating a single, trusted source of truth across systems and departments. This report emphasizes new-age MDM systems’ key characteristics, their enterprise adoption, and the evolving supplier landscape. It outlines a structured approach’s importance in navigating MDM’s complexities. Establishing an efficient MDM system requires a multi-tiered, phased strategy involving key business and technical stakeholders. Enterprises seeking to future-proof their organizational data should invest in MDM with a clear focus on maximizing data value. Scope All industries and geographies Contents In this report, we examine: MDM’s evolution over the years Key trends shaping the MDM landscape The evolving supplier landscape The challenges with MDM adoption and how to overcome them Membership(s) Data & Analytics Sourcing and Vendor Management

Modern Data Stack (MDS) components are the foundational building blocks of any data ecosystem. Over the years, these components have transformed significantly to meet growing enterprise demands due to the increasing recognition of data as a vital asset in enabling digital transformation for a sustained competitive advantage. To navigate this landscape, enterprises must formulate a well-defined data strategy aligning with their unique needs and goals. This strategy should comprehensively evaluate MDS components, identify the most relevant ones, determine their integration, and assess their potential to deliver measurable business impact. Chief Data Officers (CDOs) will be pivotal in this process as they must carefully balance innovation with RoI. Scope All industries and geographies Contents In this report, we examine: Demand themes driving the shift in MDS Overview of MDS 2.0 The technology provider ecosystem for MDS Key considerations for CDOs when exploring MDS Membership(s) Data & Analytics Sourcing and Vendor Management

At present, mid-market enterprises stand at a pivotal juncture, aiming to fortify their Data and Analytics (D&A) foundation while exploring advanced technologies such as generative AI. In a constantly evolving market, these enterprises prioritize excellence and innovation in their provider selection, seeking partners that emphasize robust relationships, cost-effectiveness, agility, and a steadfast commitment to delivering tangible business impact and Return on Investment (RoI) throughout their transformation journey. Mid-market enterprises value providers with inventive solutions, accelerators, and robust advisory capabilities to navigate the dynamic D&A landscape efficiently. This compendium provides detailed profiles of 29 IT service providers featured on Everest Group’s D&A Services for Mid-market Enterprises PEAK Matrix® 2023. Each profile offers a comprehensive snapshot of the provider’s service focus, key Intellectual Property (IP) / solutions, domain investments, and case studies. Scope All industries and geographies The assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with D&A service providers, client reference checks, and an ongoing analysis of the D&A services market Contents In this report, we examine: D&A services for mid-market enterprises PEAK Matrix® characteristics Providers’ leadership, presence across geographies and industries, global FTE and revenue estimates, buyer size, and overall practice structures D&A delivery locations and intellectual property overview, along with an analysis of flagship IP and key partnerships across the D&A value chain Provider investments in D&A across talent, infrastructure (centers of excellence / labs), acquisitions, research, academic partnerships, and solutions Recent case studies and projects won, with a detailed description of solutions provided Providers’ key strengths and limitations Enterprise sourcing considerations Membership(s) Data & Analytics Sourcing and Vendor Management

Currently, mid-market enterprises stand at a crucial juncture. They are striving to strengthen their Data and Analytics (D&A) foundation while simultaneously exploring cutting-edge technologies such as generative AI. In an ever-evolving market landscape, these enterprises are keen on achieving excellence and fostering innovation when selecting a provider. In their pursuit, mid-market enterprises are seeking partners that prioritize building strong relationships, cost-efficiency, agility, nimbleness, and a steadfast commitment to delivering tangible business impact and Return on Investment (RoI) at every stage of their transformation journey. Providers equipped with inventive solutions, accelerators, and strong advisory capabilities can efficiently guide these enterprises through the dynamic D&A landscape. In this report, we assess 29 providers featured on the D&A services for mid-market enterprises PEAK Matrix® 2023. Each profile offers a comprehensive assessment of the provider’s strengths and limitations, empowering mid-market enterprises to make informed decisions as they navigate the ever-evolving D&A landscape. Scope All industries and geographies The assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with D&A service providers, client reference checks, and an ongoing analysis of the D&A services market Contents In this report, we examine: D&A service providers landscape for mid-market enterprises D&A services for mid-market enterprises PEAK Matrix® characteristics Enterprise sourcing considerations Membership(s) Data & Analytics Sourcing and Vendor Management

Enterprises are utilizing data in innovative ways and fast realizing the importance of making it accessible, reliable, and secure. Cloud-based systems enable organizations to share and consume data at scale, which reduces the time to gather meaningful insights and drives better decision-making. In recent years, cloud adoption has gained significant ground with hyperscalers investing in end-to-end Data and Analytics (D&A) services to augment their cloud infrastructure capabilities. However, a single cloud vendor can no longer meet all enterprise requirements, which is compelling enterprises to adopt a multi-cloud approach, with most enterprises having two or more clouds in their ecosystems. The multi-cloud ecosystem allows enterprises to move between different clouds, leverage best-of-breed solutions, avoid vendor lock-ins, optimize costs, increase the availability of applications and data, and ensure regulatory compliance and governance of data. However, multi-cloud environments present certain data-related challenges due to their associated complexities. In this report, we examine the emergence of multi-cloud and its associated data challenges and recommend possible ways to tackle these challenges. Scope All industries and geographies Contents This report looks at: Rise in cloud adoption Emergence of hybrid and multi-cloud ecosystems Key reasons for multi-cloud adoption Common data challenges that enterprises face when adopting a multi-cloud architecture Methods to address the data challenges Membership(s) Data & Analytics Sourcing and Vendor Management

Global macroeconomic conditions indicate the probability of a recession. Despite the resulting cost constraints, enterprise demand for Data and Analytics (D&A) services is on the rise. Enterprises are realizing that data-driven solutions focused on cost optimization and competitive advantage are vital to survive the slowdown. 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 compendium provides detailed profiles of 30 IT service providers featured on Everest Group’s D&A Services PEAK Matrix® 2022. Each profile offers a comprehensive snapshot of the provider’s service focus, key Intellectual Property (IP) / solutions, domain investments, and case studies. Scope:   All industries and geographies Everest Group shortlisted providers for the D&A Services PEAK Matrix® assessment based on the following criteria: The 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 ongoing analysis of the D&A services market  Contents: In this research, we analyze the global D&A service provider landscape and include: Providers’ leadership, presence across geographies and industries, global FTE and revenue estimates, buyer size, and overall practice structures D&A delivery locations D&A intellectual property overview, along with an analysis of flagship IP and key partnerships across the D&A value chain Provider investments in D&A across talent, infrastructure (centers of excellence / labs), acquisitions, research, academic partnerships, and solutions Recent case studies and projects won, with a detailed description of the solution provided Everest Group’s take on the strengths and limitations of individual providers Membership(s) Data & Analytics Sourcing and Vendor Management

Global macroeconomic conditions indicate the rising probability of a recession. Despite the resulting cost pressures, enterprise demand for 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. In this research, we present 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. 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 Contents 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 Membership(s) Data & Analytics Sourcing and Vendor Management