Following the pandemic, analytics and AI adoption rose drastically in the life sciences industry. The industry was at the epicenter of the COVID-19 crisis; therefore, pharma enterprises had to scale their businesses and rethink their operational methodologies to navigate the pandemic. Primary enterprise objectives for analytics adoption are improving productivity, increasing cost efficiencies, and enhancing stakeholder experience. Increasingly, enterprises are realizing the need to modernize their operations to build a resilient supply chain and sustainable business, which has driven thematic analytics investments in areas such as digital therapeutics, Internet of Medical Things (IoMT), and Real World Evidence (RWE). In this report, we analyze the current state of analytics adoption in the life sciences industry; the impact of analytics on the emergence of new industry-specific themes, advanced analytics and AI use cases, and the characteristics of analytics-focused deals. We also discuss how the pandemic has influenced the traditional workflow of pharma enterprises and how they can harness the value that analytics delivers going forward. Scope Industry: life sciences Geography: global Contents This report examines: The current state of analytics and deal characteristics in the life sciences market Emerging themes in life sciences industry driving analytics and AI adoption Analytics and AI adoption use case analysis by value chain segment Impact of COVID-19 and enterprise mitigation strategies Recommendations for enterprises Membership(s) Artificial IntelligenceData & AnalyticsLife Sciences Information Technology Sourcing and Vendor Management

Enterprise adoption of outcomes-based advanced analytics and Artificial Intelligence (AI) is rapidly increasing. However, organizations are unable to achieve the complete benefit of these initiatives due to data-related challenges, a shortage of analytics and AI talent in the market, and the lack of organizational readiness to adopt new technologies. To address these challenges, enterprises are looking for providers with strong domain knowledge and expertise in advanced technologies. Analytics and AI services specialists are well-positioned to help enterprises adopt and scale initiatives due to their proactive investments in data engineering capabilities, in-depth experience in catering to domain- or industry-specific analytics requirements, and investments in acquiring and upskilling advanced analytics and AI talent. In this research, we present an assessment and detailed profiles of 15 analytics and AI services specialists featured on Everest Group’s Analytics and AI Services Specialists PEAK Matrix® 2021. The assessment is based on Everest Group’s annual RFI process for the calendar year 2020 and H1 2021, interactions with leading analytics and AI services specialists, client reference checks, and an ongoing analysis of the analytics and AI services market. Scope Services across the analytics and AI services value chain – strategy & consulting, Business Intelligence (BI) and reporting, advanced analytics & insights, data engineering, and AI Coverage across 15 analytics and AI services specialists All industries and geographies Contents In this research, we analyze the global analytics and AI services specialists’ landscape and focus on: Everest Group’s analysis of the specialists’ strengths and limitations Specialists’ leadership, presence across geographies and industries, revenue estimates, and buyer size focus Analytics and AI services delivery locations Analytics and AI services Intellectual Property (IP) overview, along with a deep dive into flagship IP and key partnerships across the analytics and AI services value chain Investments in analytics and AI services across talent, infrastructure (centers of excellence / labs), acquisitions, research, academic partnerships, and solutions Case studies, with a detailed description of the solution provided Membership(s) Data & Analytics Sourcing and Vendor Management

The democratization and enterprise-wide scaling of analytics and insights have taken centerstage, with enterprises becoming digitally mature and investing heavily in analytics initiatives in recent years. The pandemic has further emphasized the need for agile, data-driven decision-making and made analytics an essential navigation tool, which marks a shift in enterprise priorities toward analytics transformation to improve the speed to insights and solutions that drive operational and cost efficiencies. D&A service providers, including IT/BPO firms, consulting companies, and pure-play analytics providers that offer a rich set of Advanced Analytics and Insights (AA&I) capabilities, domain expertise, and off-the-shelf accelerators, can help enterprises reduce the time-to-value and achieve business outcomes through coherent and enterprise-wide and data-driven decision-making. They are also proactively investing in advanced technologies, including computer vision, Internet of Things (IoT), and Natural Language Processing (NLP), to deliver advanced insights. Considering talent scarcity in these emerging areas, providers have invested in in-house talent building initiatives, certifications, and academic collaborations. In this research, we analyze the global AA&I services provider landscape and position the providers on Everest Group’s AA&I Services PEAK Matrix® 2022. We also share our analysis on the strengths and limitations of each service provider. Scope Services across the D&A value chain – strategy and consulting, Business Intelligence (BI) and visualization, and advanced analytics and next-generation services Presence of a separate AA&I team All industries and geographies Contents This report examines the global Advanced Analytics and Insights (AA&I) market and evaluates the positioning of service providers on the Everest Group AA&I Services PEAK Matrix® 2022. It provides insights into changing market dynamics and Everest Group’s analysis of the providers’ strengths and limitations. Membership(s) Data & Analytics Sourcing and Vendor Management

Enterprise adoption of outcomes-based advanced analytics and Artificial Intelligence (AI) is rapidly rising. However, organizations are unable to achieve the complete benefit of these initiatives due to data-related challenges, a shortage of analytics and AI talent in the market, and the lack of organizational readiness to adopt new technologies. To address these challenges, enterprises are looking for service providers with strong domain knowledge and expertise in advanced technologies. Analytics and AI services specialists are well-positioned to help enterprises adopt and scale initiatives due to their proactive investments in data engineering capabilities, in-depth experience in catering to domain- or industry-specific analytics requirements, and investments in acquiring and upskilling advanced analytics and AI talent. In this research, we analyze the global analytics and AI services specialists’ landscape and position the service providers on Everest Group’s Analytics and AI Services Specialists PEAK Matrix® 2021. We also share our perspectives on the strengths and limitations of each specialist. Scope Services across the analytics and AI services value chain – strategy & consulting, Business Intelligence (BI) and reporting, advanced analytics & insights, data engineering, and AI Coverage across 15 analytics and AI services specialists All major industries and functional areas Geography: global Contents This report examines the global analytics and AI services market and positions relevant specialists on the Everest Group Analytics and AI Services Specialists PEAK Matrix® 2021. The study provides insights into changing market dynamics and Everest Group’s analysis of the specialists’ strengths and limitations. Membership(s) Data & Analytics Sourcing and Vendor Management

With enterprises recognizing data as a key imperative to gain competitive advantage, effective data management processes have become vital to unlock data’s true worth. Enterprises with modern data architectures have been able to show higher resilience in the face of pandemic-driven uncertainties. Democratization of data, enabled by integrated data management processes, allows an organization to seamlessly adopt innovative business models to drive business continuity, operational efficiencies, and growth. However, a significant increase in data volumes, data types, and velocity, led by expansive digitalization, has made data management an extremely complex task. Augmented data management aims to combine the power of Artificial Intelligence (AI) and Data and Analytics (D&A) to successfully automate the end-to-end data management process for an enterprise, democratizing the ability to efficiently manage data by the workforce (IT + business users), while adhering to data security and privacy mandates. In this report, we explore how AI / Machine Learning (ML) assists enterprises in modernizing their data management processes to smoothly sail through the ongoing data storm. Scope All industries and geographies Contents In this report, we: Identify gaps in the traditional approach to data management Examine AI-powered data management Identify key processes to target Determine where to begin and how to progress on the adoption journey Consider key enterprise imperatives for successful adoption of augmented data management Membership (s) Data & Analytics Sourcing and Vendor Management

The Data and Analytics (D&A) ecosystem has successfully educated the market on the value of evidence-based decision-making versus traditional gut-based and thumb rule-based approaches.The COVID-19 pandemic has further emphasized the need for agile, data-driven decision-making and positioned D&A as an essential navigation tool to improve business outcomes and customer and employee experience. However, enterprises face various challenges in scaling their initiatives based on D&A adoption maturity. To effectively service their needs, service providers are evolving from specialists to end-to-end players. They are building a talent pipeline and aligning their technology portfolios with a combination of unified offerings with modular components and industry-/use case-specific point solutions to ensure both breadth of coverage and speed of delivery. Leaders in the D&A space have displayed this broader D&A vision and bridged portfolio gaps to build a complete services suite. However, enterprises face various challenges in scaling their initiatives based on D&A adoption maturity. To effectively service their needs, service providers are evolving from specialists to end-to-end players. They are building a talent pipeline and aligning their technology portfolios with a combination of unified offerings with modular components and industry-/use case-specific point solutions to ensure both breadth of coverage and speed of delivery. Leaders in the D&A space have displayed this broader D&A vision and bridged portfolio gaps to build a complete services suite. In this study, we present an assessment and detailed profiles of 29 service providers featured on the Everest Group D&A Services PEAK Matrix® 2021. The assessment is based on Everest Group’s annual RFI process for the calendar year 2020, interactions with leading D&A service providers, client reference checks, and an ongoing analysis of the D&A services market. Scope Services across the D&A value chain – strategy & consulting, data management, data governance, security, privacy, business intelligence, and analytics & insights Presence of a separate D&A team covering all major industries and functional areas Evaluation of 29 D&A service providers Geography: global Contents: In this research, we analyze the global D&A service provider landscape and focus on: Service 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 a deep dive into flagship IP and key partnerships across the D&A value chain Service 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 remarks on the strengths and limitations of individual service providers Membership(s) Data & Analytics Sourcing and Vendor Management

Data has become a key enterprise asset, which enterprises are utilizing to drive insights-based decision-making to stay competitive. As enterprises attempt to ease the process of deriving insights, they are faced with the challenge of aligning the capabilities of legacy data systems with an exponential growth in data. With an ever-increasing focus on driving digital transformation initiatives after the COVID-19 pandemic and amid higher IoT adoption, the gaps are expected to widen. To democratize data, enterprises need to re-evaluate their current data estate and approach to analytics, and shift to modern data solutions and architecture. In this viewpoint, we study and examine the possibilities of data modernization, as it helps organizations to continuously chase the shifting target of ever-growing data. Scope All industries and geographies Contents: In this report, we: Examine data modernization and its advantages Investigate the evolution of the data ecosystem and its future in the cloud Identify distinct approaches to data modernization, highlighting selection parameters to enable an enterprise choose the best approach Understand key considerations in initiating the modernization journey Membership(s) Data & Analytics Sourcing and Vendor Management

The ecosystem of D&A players has successfully educated the market on the value of evidence-based decision-making versus traditional gut-based and thumb rule-based approaches. The pandemic has further emphasized the need for agile, data-driven decision-making and positioned D&A as an essential navigation tool to improve business outcomes and customer and employee experience. This emphasis has driven enterprises with varying levels of digital maturity to increase their D&A adoption initiatives to stay relevant and competitive. However, enterprises face various challenges in scaling their initiatives based on D&A adoption maturity. To effectively service their needs, service providers are evolving from specialists to end-to-end players. They are building a talent pipeline and aligning their technology portfolios with a combination of unified offerings with modular components and industry-/use case-specific point solutions to ensure both breadth of coverage and speed of delivery. Leaders in the D&A space have displayed this broader D&A vision and bridged portfolio gaps to build a complete services suite. In this research, we analyze the global D&A service provider landscape in 2020 and position the providers on Everest Group’s D&A Services PEAK Matrix® 2021. We also share our analysis on the strengths and limitations of each service provider. Scope Services across the D&A value chain – strategy & consulting, data management, data governance, security, privacy, business intelligence, and analytics & insights Presence of a separate D&A team covering all major industries and functional areas Coverage across 29 D&A service providers Geography: global Contents: This report examines the global D&A market and evaluates the positioning of service providers on the Everest Group D&A Services PEAK Matrix&® 2021. It provides insights into changing market dynamics and Everest Group’s analysis of the service providers’ strengths and limitations. Membership(s) Data & Analytics Sourcing and Vendor Management

Analytics adoption across industries is on the rise as enterprises focus on operational resilience, democratization of insights, and data-driven decision-making. Thus, D&A service providers, including IT/BPO firms, consulting players, and pure-play analytics providers, are offering a rich set of Advanced Analytics and Insights (AA&I) capabilities, domain expertise, and off-the-shelf accelerators to help enterprises reduce time-to-value and achieve direct business outcomes. They are also proactively investing in advanced technologies, including computer vision, IoT, and NLP, to deliver advanced insights. Considering talent scarcity in these emerging areas, service providers have invested in in-house talent building initiatives, certifications, and academic collaborations. In this research, we analyze the global AA&I service provider landscape and position the providers on Everest Group’s AA&I Services PEAK Matrix® 2021. We also share our findings and inputs on the providers’ strengths and areas of improvement. Scope Services across the AA&I value chain – strategy & consulting, BI & visualization, and advanced analytics & next-generation services All major industries and functional areas Coverage across 32 AA&I service providers, namely, Accenture, Birlasoft, BRIDGEi2i, Capgemini, Cognizant, Datamatics, Deloitte, DMI, DXC Technology, EXL, EY, Fractal, Genpact, HCL Technologies, IBM, Infosys, KPMG, LatentView Analytics, LTI, Mphasis, Mu Sigma, NTT DATA, PwC, Sasken, TCS, Tech Mahindra, UST Global, Virtusa, Wipro, WNS, Zensar, and ZS Contents This report examines the global AA&I services market and evaluates the positioning of service providers on the Everest Group PEAK Matrix®. It provides insights into the changing market dynamics and our remarks on the service providers’ strengths and areas of improvement. Membership(s) Data & Analytics Sourcing and Vendor Management

The ecosystem of Data and Analytics (D&A) players has showcased the efficacy of evidence-based decision-making over traditional gut-based and thumb rule-based approaches. Consequently, the debate today has shifted to the RoI of D&A investments and scalability of initiatives. While enterprises have seen D&A investments offer improved business outcomes and customer and employee experience, organizations are still failing to achieve their full benefit due to D&A adoption in pockets, lack of data skills across the enterprise, and inefficient/unoptimized data management practices. In this regard, service providers can help enterprises formulate a central vision for D&A, streamline investments, modernize the data landscape, and upskill enterprise users to achieve multiple outcomes through coherent and enterprise-wide data-driven decisions. In this study, we present an assessment and detailed profiles of 28 service providers featured on the D&A Services PEAK Matrix® 2020. The assessment is based on Everest Group’s annual RFI process for the calendar year 2019, interactions with leading D&A service providers, client reference checks, and an ongoing analysis of the D&A services market. Scope Services: D&A value chain All industries and geographies We have evaluated 28 D&A service providers: Accenture, Atos, Birlasoft, Capgemini, Coforge, Cognizant, Datamatics, DMI, Deloitte, DXC Technology, EY, Happiest Minds, HCL Technologies, IBM, Infosys, Mphasis, KPMG, LTI, NTT Data, PwC, Sonata Software, Stefanini, TCS, Tech Mahindra, UST Global, Virtusa, Wipro, and Zensar Contents In this research, we analyze the global D&A service provider landscape in 2020. We focus on: Service providers’ company overviews, including leadership, presence across geographies and industries, global FTE and revenue estimates, buyer size focus, and overall practice structure D&A delivery locations D&A intellectual property overview, along with a deep dive into flagship IP and key partnerships across the D&A value chain Investments made by service providers 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 remarks on the strengths and areas of improvements of individual service providers Membership(s) Data & Analytics Sourcing and Vendor Management