Top 11 Data Analytics Consulting Companies & Services 2024

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Updated March 9, 2024

A comprehensive list of the Top Data Analytics Consulting Companies with features & comparison. Select the Best Data Analytics Consulting Firm of your choice from this review:

Data analytics consulting is a profession that aids organizations in optimizing profits by improving data analytics processes through data collection and analysis.

It is a way of understanding and interpreting data with different approaches, including descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics to help businesses make strategically guided decisions and optimize their performance while maximizing profit.

Data analytics includes four steps: Data Mining, Data Management, Statistical Analysis, and Data Presentation.

First, data is gathered from different sources through data mining, then it is organized and maintained through proper data management. After organizing data, the information is then interpreted and presented in an understandable form.

Data Analytics Solutions – Top Rated

Data Analytics Consulting Companies & Services

There are many companies that specialize in offering data analytics consulting services that guide organizations to improve data analytics processes by helping them collect and analyze data to maximize profits.

They process and analyze big data in real-time that organizations can further use in making strategically guided decisions and to improve overall operational efficiency.

Data Analytics

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Importance of Data Analytics

Data analytics help organizations:

  • To gain insights: It helps organizations gain greater insights into targeted markets, including customer preferences, browsing, needs behavior, and more.
  • For better decision-making: It helps businesses to make faster, informed business decisions by presenting properly interpreted data with prescriptive and predictive analysis.
  • To make targeted strategies: With proper market insight, the companies can make targeted strategies to reach new customer segments and increase overall efficiency.
  • Enhances efficiency: It improves the overall operational efficiency of the organization by identifying profitable operations and underperforming areas.

Factors to be considered for selecting data analytics consulting companies:

There are certain factors that you should consider:

  1. Expertise: The company you are going to select must have good expertise in your industry. You can see its portfolio, and find projects they have done in your industry.
  2. Case Studies and Feedback: Look for the company’s case studies and clients’ feedback to have an idea of its historical projects, their proficiency, and approach.
  3. Ethics: The company you select must have stringent ethical standards, as they would have your confidential and sensitive data.
  4. Service Offerings: Look for the service offerings of the different companies and find out whether they are providing the service you require or not. They must include basic data analytics features like data strategy, data science, data engineering, data governance, and so on.
  5. Your Budget and their Pricing: Before going ahead you should check for their pricing plans and analyze your budget whether it comes under it or not.
  6. Long-term Perspective: Look for a company that provides strategic planning, scalable solutions, continual learning and adaptation, and ongoing support.

How we selected these companies:

We selected the best Bigdata Analytics Consulting Companies taking into consideration certain essential factors like:

  • Services offerings
  • Customer support
  • Clients
  • Locations
  • No. of employees
  • Features
  • Pros & cons and so on

Who can benefit from this article:

Anyone who is looking for the best data analytics consulting company and service can benefit from the article.

We have covered everything from the importance of data analytics, factors to be considered for selecting the best consultancy, its market share, and expert advice to Data analytics consulting companies list with a thorough review of each one of them.

Market Trends: According to the research by Acumen Research and Consulting , the market share of data analytics is expected to rise up to $329.8 billion till 2030 with a CAGR of 29.9%. It was earlier valued at $31.8 billion in 2021.
Digital Analytics Market Growth
Expert Advice: To select the best data analytics consulting company you need to consider certain factors like expertise you need, case studies or clients feedback, service offerings, pricing, and their customer support.
=>> Contact us to suggest a listing here.

List of the Best Data Analytics Consulting Companies

In-demand and best Data Analytics consulting firms list:

  1. ScienceSoft
  2. Engine Analytics
  3. Centric
  4. Slalom
  5. Cognizant
  6. ZS
  7. Bain & Company
  8. IBM Analytics Consulting
  9. Boston Consulting Group
  10. EY
  11. Veeva
  12. CapTech

Comparison Table of Top Data Analytics Consulting Firms

CompaniesBest for HeadquarterFounded InClients
ScienceSoftOrganising the most voluminous and high velocity data.McKinney, Texas1989Deloitte, Rakuten Viber, ebay, IBM, NASA and many more.
Engine AnalyticsCloud Engineering, Data Management & Analytics Automation, Data Science and AI ImplementationSingapore, SG2023Bosco Legal Services Inc., VS Qloud Solutions and many more
CentricDelivering innovative and balanced solutions.Dayton, Ohio1999Pharma Logistics, Portland Street Machine, Citizens Energy Group, Omnova solutions, World Wide Technology and many more.
SlalomMaking strategies for filling capitalising data and AI.Seattle, WA2001Southwest Airlines, Ascension, VillageMD, Chicago Cubs, IncomeMax, Microsoft, Western Union and many more.
CognizantPreparing, optimising and managing data assets securely, efficiently and cost effectively.Teaneck, New Jersey1994Siemens, Orkla, Saint-Gobain Abrasives and many more.
ZSMaximising efficiency with strategic sourcing.Evanston, IL1983Ferring Pharmaceuticals, Greenwich biosciences, Illumina, Indivior, Infinity Pharmaceuticals and many more.

Detailed Review: 

#1) ScienceSoft

Best for Designing pragmatic analytics solutions to boost business profitability.

ScienceSoft

ScienceSoft is a US-based company specializing in the design, implementation, and evolution of data analytics solutions. Covering clear-cut reporting software as well as advanced AI-based systems, ScienceSoft’s portfolio features solutions for the analytics of operations, finance, brands and products, customers, sales, marketing, SCM, and more.

ScienceSoft’s offer includes:

  • Business consulting, including a feasibility study, TCO and ROI estimates for analytics implementation.
  • Technology consulting, including software architecture design and tech stack selection.
  • Big data, AI, and machine learning consulting.
  • Design and implementation of tailored analytics modules for KPI calculation, root cause analysis, pattern and anomaly detection, what-if analysis, forecasting, and more.
  • Implementing self-service capabilities for zero-code report creation.
  • Security and compliance consulting. ScienceSoft has in-house compliance experts to cover all major global and local regulations, including HIPAA, SOC 2, PCI DSS, GDPR, SFDA, ESMA.
  • Developing custom and platform-based solutions (e.g., Power BI, Oracle).
  • Analytics software modernization. The vendor’s portfolio shows outcomes such as an 80% increase in analytics teams productivity, 100x faster data analysis and reporting, and an 80% reduction in cloud computing resource consumption.

In testimonials, ScienceSoft’s clients highlight the vendor’s deep industry knowledge, transparent collaboration, and focus on ensuring high solution efficiency and profitability.

Founded In: 1989
Headquarters: McKinney, Texas
Locations: UAE, KSA, Finland, Latvia, Lithuania, Poland.
No. of Employees: 501-1000
Clients: Deloitte, eBay, IBM, NASA JLP, Walmart, PerkinElmer, Baxter, Leo Burnett.

Verdict: ScienceSoft’s competencies, extensive portfolio, and positive customer feedback make it a go-to vendor for complex analytics projects, including software implementation and evolution. The vendor’s ISO 9001 and ISO 27001 certifications mean you can expect high-quality services and complete security of your data.

Pricing: Use the free online calculator on their website to initiate cost estimation for your case.


#2) Engine Analytics

Engine Analytics

Leading in Cloud Engineering, Data Management, and Analytics Automation Across Industries.

ENGINE is a rapidly evolving, comprehensive data analytics firm catering to startups, SMEs, and large enterprises. Its hallmark is the innovative and contemporary DAaaS (Data Analytics as a Service) model. This model is lauded for its flexible contracting, making it highly attractive to companies of varying sizes.

Drawing inspiration from SaaS (Software as a Service) company plans, ENGINE’s model simplifies customer engagement, enabling easy initiation or cessation of memberships. The ENGINE team has devised a compelling proposition, allowing clients to selectively utilize data services without the constraints of hefty costs or prolonged contract durations.

The suite of services offered by ENGINE includes:

  • Data Automation / Modeling and Ingestion (ETL or ELT),
  • Dashboard Intelligence and Data Visualization,
  • Data Science AI and Predictive Analytics,
  • Cloud Engineering Solutions,
  • Custom Push Notification Systems (Email / Messaging),
  • Data & Technology Tracking Consultancy,
  • Data Governance.

Founded in 2023 and headquartered in Singapore, SG, ENGINE is a small yet dynamic team with 1-10 employees. It provides extensive support through a Knowledge Base, FAQs/Forum, 24/7 Live Representative, Email Support, Phone Support, and Training. ENGINE’s clientele is spread across the United States, United Kingdom, and Germany.

Key Features of ENGINE:

  • Facilitates the creation of integrated data systems for centralizing disparate data.
  • Aids in maximizing data automation to reduce costs and refocus efforts on strategic objectives.
  • Develops custom ML tabular models for client-specific predictive analytics.
  • Provides consultancy for robust tech and data tracking, including the implementation of advanced logics for granular insights.
  • Recognized for aiding SaaS companies in building strong E2E systems (back-end and front-end) for product commercialization and scalability.
  • Ideal for various industries, including eCommerce, SaaS, Information Technology, Privacy & Cyber Law, Marketing & AdTech, and Logistics & Fulfillment.

#3) Centric

Best for delivering innovative and balanced Data Analytics Solutions.

Centric

Centric is a business and technology consulting company that helps transform your business with planned technology and digital solutions.

It offers services like business consulting, technology solutions & consulting services, and digital consulting related to industries like insurance, financial services, healthcare, energy & utilities, and the public sector.

Under technology consulting, it covers aspects like Artificial Intelligence, cloud solutions, CRM, cybersecurity, data analytics, DevOps, etc. It enables you to manage complex business problems with the use of data analytics that includes services like data modernization, visualization & insights, data governance, data strategy, and more.

It has received many awards and recognitions, including the Best Places to work award by CRAIN’s 2019, Glassdoor 2016, Enquirer Media 2017, Charlotte Business Journal 2018, and so on.

Founded In: 1999
Headquarters: Dayton, Ohio
Locations: Boston, Chicago, Indianapolis, India, Miami, Seattle, Pittsburgh, and more.
No. of Employees: 1,001-5000
Support: Email, knowledge base, and chat
Clients: Pharma Logistics, Portland Street Machine, Citizens Energy Group, Omnova Solutions, World Wide Technology, etc.

Features:

  • Offers services related to business consulting, technology solutions & consulting services, and digital consulting
  • Data analytics include services like data modernization, visualization & insights, data governance, data strategy, and more.
  • Data analytics solutions are further categorized as Modern Analytics Platforms, Insurance Analytics Platforms, and Healthcare Analytics Platforms.
  • Serves industries like insurance, financial services, healthcare, energy & utilities, and public sector.
  • Partner with various big brands like Microsoft, Oracle, AWS, Salesforce, IBM, etc.
  • Helps in identifying the best tools for implementing visualization and insights.

Why we selected Centric:

We have selected it for its high-functioning data and analytics capabilities with flexible and tailored approaches. It has passionate and powerful consultants with diverse skill set that works with a mindset of being one team. They act as a dedicated and experienced extension of your team.

Pros:

  • Smart and seamless interaction
  • Automated processes
  • On-demand webinar
  • Powerful data visualization
  • Develops data dashboards
  • Real-time insights
  • Flexible and tailored approaches

Cons:

  • Improvements in Android development are suggested.

Our review: We recommend Centric for its excellent capabilities in using a holistic approach with data to solve complex business problems.

It uses machine learning and artificial intelligence to create a competitive advantage and operational & strategic efficiencies. Over 20,000 users of industries have trusted it like insurance, financial services, healthcare, and more.

Pricing: Contact for pricing.


#4) Slalom

Best for making strategies for filling capitalizing data and AI.

Slalom

Slalom is a global business and technology consulting company that helps in tackling complex projects to deliver high-impact business results.

It uses data and AI for technology innovation and investment decisions. It creates a strategy on how to fully capitalize on your data and AI and on that basis deploys cloud-native technologies that everyone in the organization can access.

It enables organizations to unlock the potential of data analytics and AI with services like predictive analytics, responsible AI strategy, governed machine learning, etc along with empowering them to think critically with data visualization, data literacy and analytics, dashboard design and development, data discovery & exploration and so on.

It has partnerships with over 400 leading tech companies like AWS, Google Cloud, Microsoft, Salesforce, and Tableau.

It has been recognized and awarded many times with titles like Canada’s Best Workplace for Women, Canada’s Most Trusted Executive Team, UK’s Best Workplaces for Women, Forbes America’s Best Large Employer, and many more.

Founded In: 2001
Headquarter: Seattle, WA
Locations: Atlanta, Austin, Boston, Chicago, Columbus and more
No. of Employees: Over 1000
Support: Email, phone, chat, and forums.
Clients: Southwest Airlines, Ascension, VillageMD, Chicago Cubs, IncomeMax, Microsoft, Western Union and many more.

Features:

  • Deploys cloud-native technologies to enable everyone in the enterprise to use data and Artificial Intelligence.
  • Established a modern culture of data that includes data governance, master data management, analytics-driven advisory, and more.
  • Helps in building modern data architecture with data mesh, data modeling, cloud optimization, etc.
  • Enables everyone in the organization to understand the insights effectively with services like data visualization, data discovery & exploration, and more.
  • Partner with leading tech providers including AWS, Microsoft, Google, etc.
  • Serves industries like healthcare, life sciences, manufacturing, retail, technology and more.

Why we selected Slalom:

We have selected Slalom among the best data analytics consulting companies and services due to its capabilities in delivering practical and end-to-end data analytics solutions that translate data into real-world results and drive meaningful impact.

It has been again and again recognized and awarded as the best place to work by its employees, which indicates their dedication to work.

Pros:

  • Practical, end-to-end solutions
  • Cross-industry vision.
  • Creates beautiful dashboards.
  • Reduce costs and accelerate innovations.
  • Deploys cloud-native technologies.
  • Follows a human-centred AI approach.

Cons:

  • Improvements in the documentation are advised.

Our review: Many big companies, including many Fortune 100 and Fortune 500 companies, have trusted Slalom and have partnerships with many leading tech companies including AWS, Google, and Microsoft.

It is recommended for its practical and cloud-native solutions that everyone in the organization can access. It creates beautiful dashboards to uncover insights and communicate effectively with data.

Pricing: Contact for pricing.


#5) Cognizant

Best for preparing, optimizing, and managing data assets securely, efficiently, and cost-effectively.

Cognizant

Cognizant is a consulting company that helps modernizing technologies and transforming experiences with its amazing set of services, including Artificial Intelligence, data & AI, business process services, core modernization, cloud solutions, digital strategy, intelligent process automation, and many more.

It covers most of the market including industries like automotive, education, life sciences, manufacturing, healthcare, information services, and so on.

Data and AI services enable their users to adjust in dynamic markets by anticipating change and work accordingly with generative AI, data modernization, data management, business intelligence, visualization, etc.

It provides contextual and hyper-personalized data that enables users to make fast, accurate, and data-driven decisions. It connects data with AI-augmented BI and leads to outcome-oriented decisions.

Under its consulting services, it helps clients in making strategies to have a competitive advantage, and to generate growth along with digital transformation, gaining actionable insights, digitizing key processes, and more.

Founded In: 1994
Headquarters: Teaneck, New Jersey
Locations: Sydney, Melbourne, Brussels, Sau Paula, Toronto and many more.
No. of employees: Over 10,000.
Support: Email, phone, FAQs, and knowledge base.
Clients: Siemens, Orkla, Saint-Gobain Abrasives, and many more.

Features:

  • Offers services like Artificial Intelligence, data & AI, business process services, core modernization, cloud solutions, digital strategy, intelligent process automation, and many more.
  • Data and AI include generative AI, data modernization, data management, business intelligence, visualization, etc.
  • Builds a modernized data architecture that enables the users to efficiently manage data to attain digital transformation.
  • Helps the clients in making strategies to have a competitive advantage, and to generate growth with its consulting services.
  • Partners with leading tech companies including Microsoft, Google, Snowflake, AWS, and more.
  • Serves industries like automotive, education, life sciences, manufacturing, healthcare, information services and so on.

Why we selected Cognizant:

We have selected Cognizant due to its amazing capabilities in accelerating business value with its vast set of offerings that include Artificial Intelligence, data & AI, business process services, core modernization, cloud solutions, digital strategy, intelligent process automation, and many more.

It helps in building a modernized data architecture that enables the users to efficiently manage data to attain digital transformation.

Pros:

  • Faster, predictive, and proactive decisions.
  • Reduces risk, insulates client impact, and accelerates business value.
  • Over 85 strategic alliances.
  • Partnered with world-leading companies.
  • Wide range of services and solutions.
  • Focus on innovation and digital transformation.

Cons:

  • Improvements in communication and project management are suggested.

Our review: Cognizant has been recognized as a leader in Everest Group Data and Analytics Services PEAK Matrix Assessment in 2022.

It is recommended for its data and AI services that accelerate business value with better decision-making and include services like generative AI, data modernization, data management, business intelligence, visualization, etc.

Pricing: Contact for pricing.


#6) ZS

Best for maximizing efficiency with strategic sourcing.

ZS

ZS is an AI-enabled cloud-native platform that helps in building scalable capabilities for measuring data-driven insights with a programmatic approach to accelerate business value.

It serves industries like customer goods, retail, financial services, travel & hospitality, and many more with its solutions like AI & Analytics, digital health, marketing, sales, supply chain & manufacturing, and so on.

Under AI and analytics, you can build capabilities to generate and measure data-driven insights to improve customer engagement, forecasting, and more. It solves the challenges of optimizing analytics, analytics & AI evolution skills, digital expectations, and organization-wide expectations.

It provides cross-disciplinary skills including big data, AI, advanced analytics, and technology platforms to develop & enhance an integrated analytics strategy.

Founded In: 1983
Headquarter: Evanston, IL
Locations: 22 offices worldwide including New York, London, Singapore, and more.
No. of Employees: 1000-9999
Support: Email, phone, forums, and knowledge base.
Clients: Ferring Pharmaceuticals, Greenwich bio-sciences, Illumina, Indivior, Infinity Pharmaceuticals, and many more.

Features:

  • Offers solutions like strategy & advisory, AI & Analytics, portfolio & pipeline, and more.
  • AI and analytics help in generating actionable insights with increased automation.
  • Helps in developing integrated analytics strategy and handling data management effectively.
  • Ensures the availability of the right data to the right person at the right point of time.
  • Helps in measuring data-driven insights to improve customer experience and forecasting.
  • Serves industries like Pharma & biotech, medical technology, high-tech & telecommunications, financial services, retail and more.

Why we selected ZS:

We selected ZS among the top data analytics consulting companies and services for its more than 35 years of experience in data and analytics and its ability to develop the capabilities to generate and measure data-driven insights to improve customer engagement, forecasting, and more.

It solves complex business challenges like analytics optimization, evolving analytical and AI Skills, and more.

Pros:

  • Pairs advanced analytics with user-centric design.
  • Increase automation.
  • Facilitates better business decisions.
  • Generates actionable insights.

Our review: ZS is recommended for its end-to-end sales and marketing solutions that take the help of customer insights, data analytics, strategies, operations, and technology to help companies grow their revenues and overall performance.

It includes professionals with deep expertise in their field that deliver their services to industries like Pharma & biotech, medical technology, high-tech & telecommunications, financial services, retail, and more.

Pricing: Contact for pricing.


#7) Bain & Company

Best for delivering analytics strategy and developing analytic capabilities.

Bain & Company

Bain and Company is a consultancy firm spread in 40 countries with 65 offices that solves industry-defining challenges with its unique approach and expert perspective with its Consulting Services related to customer experience, strategy, operations, private equity, innovation, and more to provide extraordinary outcomes.

Under its technology and digital solutions, it helps in creating influential digital experiences, accelerating digital marketing and sales, streamline operations, and modernizing core technology with the power of AI.

It also includes data and analytics transformation that covers services like high-velocity development, organizational redesign, and integrated technology.

It has been featured and recognized in top-tier news publications across the globe with many great titles including publicly recognized around the globe as a great place to work in 2023 by Glassdoor, recognized among the top 100 companies to work for 2023 by Fortune.

It is ranked #1 in the Vault Consulting 50 North America for 2023, among the top 100 companies with the Best DEIB Initiatives in 2022, Mogul, and so on.

Founded In: 1973
Headquarters: Boston, Massachusetts.
Locations: 63 worldwide locations including Atlanta, Austin, Boston, San Francisco, Toronto, Berlin, London, Paris, Dubai, and many more.
No. of Employees: 10001+
Support: Email, phone, and forums.
Clients: UNHCR, the World Childhood Foundation, Teach for America, Dun & Bradstreet, Lowa Beef, Baxter International, and many more.

Features:

  • Provides a comprehensive approach to the data challenges to achieve end-to-end data mastery.
  • Offers high-velocity development with integrated technology.
  • Enables you to take experiments at scale to improve digital marketing.
  • Scales superior forecasting capabilities with short-range operational demand planning, and long-range strategic demand forecasting.
  • Helps in crafting a responsible AI strategy to get its full potential in achieving maximum value.
  • Serves industries like defence, agribusiness, automotive, chemicals, financial services, mining, retail, and many more.

Why we selected Bain & Company:

Bain & Company has been selected for its unique insights and expert perspective with a comprehensive approach to the data challenges to achieve end-to-end data mastery. It helps in extracting maximum value from the data assets by employing the latest analytics tools.

Pros:

  • Comprehensive approach
  • End-to-end data mastery
  • Latest analytics technology and tools
  • Data-driven insights
  • Creates influential digital experiences

Cons:

  • As per some reviews, it provides less relevant and less supported information.

Our review: Bain & Company is recommended for generating insights that yield better and faster results. It transforms data into a perpetual source of value with services like data & analytics transformation, experimentation at scale, demand forecasting, and artificial intelligence.

Pricing: Contact for pricing.


#8) IBM Analytics Consulting

Best for simplifying complex data challenges securely, at scale.

IBM - Data Analytics Consulting Companies

IBM data analytics and consulting services help the organizations to create a data-driven enterprise and unleash the true value of enterprise data with its amazing set of features like data modernization, AI & advanced analytics, modern data architecture, and so on.

Its end-to-end data consulting services help in creating strategies and data architecture to yield the best out of enterprise data.

Its data analytics consulting services help accelerate the data delivery time by 60x and improve the productivity of the team with the use of machine learning and AI technologies along with an increase in return on investment from 56 to 158% through self-service data consumption and collaboration.

Founded In: 1911
Headquarters: Armonk, New York.
Locations: Austin, Silicon Valley, Rochester, Research Triangle Park, and many more.
No. of Employees: 2,00,000+
Support: Email, phone, chat, and live representative.
Clients: The Hartford Financial Services Group, Crédit Mutuel, Humana Inc., DB Dialog & DB Systel, Panasonic and many more.

Features:

  • Helps in solving complex data problems at a scale with services like data modernization, AI & advanced analytics, modern data architecture, and so on.
  • Advanced data analytics helps accelerate the data delivery time by 60x.
  • Self-service data consumption leads to an increase in return on investment from 56 to 158%.
  • Improves productivity of the team with the use of machine learning and AI technologies.
  • Provides various visualization tools that enable you to get valuable insights into different departments in a single place.
  • Prepares and explores data to build and manage models.

Why we selected IBM Analytics Consulting:

IBM Analytics Consulting has been selected due to its excellent capabilities in accelerating the data delivery time by 60x and improving the productivity of the team with the use of machine learning and AI technologies along with an increase in return on investment from 56 to 158% through self-service data consumption and collaboration.

Pros:

  • Excellent visualisation tools.
  • Solve data problems at scale.
  • Visualisation at scale.
  • Concise reports.
  • Excellent forecasts on new trends.

Cons:

  • Not suitable for small businesses.

Our review: We recommend IBM Analytics Consulting for its amazing services like transforming critical data into valuable insights, supporting full data lifecycle, modernising data, building data fabric architecture, and supporting virtual data strategy.

It provides amazing visualisation tools that help in getting data-driven valuable insights of different departments in one place.

Pricing: Contact for pricing.


#9) Boston Consulting Group

Best for specialized talent to deliver end-to-end solutions.

BCG

Boston Consulting Group helps in digital transformation and creating a data-driven organization by realizing the full potential of data and analytics.

It serves industries like aerospace, automotive, education, energy, financial institutions, etc with its amazing set of consulting services related to artificial intelligence, business resilience, cost management, customer insights, and many more.

It is among the top world’s largest and most prestigious management consulting firms with a global network of industry, functional, and technology experts that helps in developing competitive data strategies to gain a competitive edge in their industries.

With the right data assets, data governance, talent, and culture, it forms a data-driven organization to yield the best results.

Founded In: 1963
Headquarters: Boston, Massachusetts
Locations: More than 100 offices worldwide including Bangkok, Beijing, Canberra, Panama City, Santiago, Sao Paulo, and so on.
No. of Employees: 10,000+
Support: Email, phone, forum, and knowledge base.
Clients: KLM, Nestle, Sanofi, Bayer, Zoetis, and many more.

Features:

  • Has a global network of industry, functional, and technology experts.
  • Helps in developing competitive data strategies to gain a competitive edge in their industries.
  • Creates a data-driven organization by realizing the full potential of data and analytics.
  • With data governance, it manages data and analytics as per the needs of organisations.
  • Helps in migrating from legacy ERP platforms to next-generation platforms.
  • Serves industries like aerospace, automotive, education, energy, financial institutions, and so on.
  • Other solutions include consulting related to artificial intelligence, business resilience, cost management, customer insights, and many more.

Why we selected Boston Consulting Group:

It is among the world’s largest and most prestigious management consulting firms that help in developing competitive strategies to gain a competitive edge in their industries and realize the full potential of data and analytics to create a data-driven organization.

Pros:

  • 400 certified platform experts.
  • Expertise in all the verticals of the industry.
  • Business transformation.
  • Maintains CIA of the customer’s i.e., Confidentiality, Integrity, and Availability

Cons:

  • Comparatively expensive.

Our review: Boston Consulting Group is recommended for creating a data-driven organization by realizing the full potential of data and analytics and developing competitive data strategies to gain a competitive edge in the industries with solutions like artificial intelligence, business resilience, cost management, customer insights, etc.

It has a global network of industry, functional, and technology experts that have expertise in all the verticals of their industry.

Pricing: Contact for pricing.


#10) EY

Best for leveraging technology at speed and enabling innovation at scale for building a better working world.

EY  - Data Analytics Consulting Companies

EY is a consulting company that helps organizations in transformation, growth, and smooth operations with its consulting services related to analytics, customer experience, digital transformation, supply chain, and so on. It facilitates facts-based decision-making in organizations by demystifying the language of analytics.

It instills confidence and empowers responsible transformation by using AI.

It has been trusted by many big companies including Hewlett Packard, Verizon, State Street, AT&T, Coca-Cola, General Motors, Hilton, etc, and serves industries like private equity, financial services, government & public sector consulting, and more.

Founded In: 1989
Headquarters: London, United Kingdom.
Locations: Located in 700 different locations worldwide including Spain, Portugal, Tunisia, Morocco, United Kingdom, Finland, and more.
No. of Employees: 10,000+
Support: Email and phone.
Clients: Hewlett Packard, Verizon, State Street, AT&T, Coca-Cola, General, Motors, Hilton and more.

Features:

  • Helps in creating processes to convert data into strategic assets.
  • Uses AI, and automation for streaming processes.
  • Ensures data security by securely hosting data in the cloud and adhere to data security policies.
  • Supports organizations of sectors like private equity, financial services, government & public sector consulting, and more.
  • Other services include tax, assurance, legal, technology, managed services, EY sustainability, and more.

Why we selected EY:

We selected EY due to its capabilities in sparking innovative growth and seizing opportunities through its consulting services related to tax, assurance, legal, technology, managed services, EY sustainability, etc, and ensuring data security by securely hosting data in the cloud and adhering to data security policies.

Pros:

  • Latest advanced technologies are used.
  • Compatible with leading industry standards.
  • Adhere to security and regulatory requirements.
  • Scalable infrastructure.

Cons:

  • Flexibility with respect to scope and stability in terms of resources assigned is suggested.
  • Not experienced analysts.

Our review: EY is recommended for its analytics consulting services that sparks innovative growth and seizes opportunities by creating processes to convert data into strategic assets with the use of AI and automation along with ensuring data security by securely hosting data in the cloud with adherence to data security policies. It helps in building a scalable data infrastructure.

Pricing: Contact for pricing.


#11) Veeva

Best for predictive, comparative, and prescriptive analytics of the life sciences industry.

Veeva - Data Analytics Consulting Companies

Veeva is a leading consulting company for the global life sciences industry. It has been trusted by more than 800 customers worldwide including the world’s largest pharmaceutical companies to emerging biotechs like Endo, Genentech, Dermavant, ANI Pharmaceuticals Inc., and many more.

It has been featured in many popular publications including Forbes, CNBC, Fortune, NPR, and more. It is suitable for industries like life sciences, medtech, consumer packaged goods, food & beverage, and speciality chemicals.

It offers services like business consulting, commercial analytics, professional & managed services, and training services. Under commercial analytics, it offers Services like segmentation, targeting, pulse benchmarking, patient analysis, and advanced analytics.

Founded In: 2007
Headquarter: Pleasanton, CA
Locations: In Canada, Europe, Asia, and Latin America.
No. of Employees: 5,001-10,000.
Support: Knowledge Base, FAQs/Forum, 24/7 (Live rep), Email/Help Desk, Phone Support, and training.
Clients: Endo, Genentech, Dermavant, ANI Pharmaceuticals Inc. and many more.

Features:

  • Helps in creating segmentation and targeting strategies with actionable insights.
  • Generates insights quickly based on pre-connected data and CRM.
  • Under commercial analytics, it offers services like segmentation, targeting, pulse benchmarking, patient analysis, and advanced analytics.
  • Partner with more than 40 biopharma companies including Pfizer, GSK, Gilead, Alexion, and more.
  • Offers Services like business consulting, commercial analytics, professional & managed services, and training services.
  • Suitable for industries like life sciences, medtech, consumer packaged goods, food & beverage, and speciality chemicals.

Why we selected Veeva:

Veeva has been selected due to its visible results over 20% of new targets are identified in the companies, 75% of targets visited in the next cycle and more than 5 to 15% of new patients start with the use of its amazing set of commercial Analytics services including segmentation, targeting, pulse benchmarking, patient analysis, and advanced analytics.

Pros:

  • Seamless field execution.
  • Quick insights generation.
  • Pulse benchmarking.
  • Patient analytics.
  • SDOH, HEOR, and AI/ML Modeling included.

Our review: Veeva is best for understanding patient’s behaviour by using their data in patient analytics. Its advanced analytics services are also phenomenal, it includes predictive, comparative, and prescriptive analytics of the life sciences industry.

Pricing: Contact for pricing.


#12) CapTech

Best for strong Business Intelligence and Data Analytics Services.

CapTech - Data Analytics Consulting Companies

CapTech is among the fastest-growing Data Science Consulting firms in America, suitable for private companies, public companies, and government agencies. It offers services related to management consulting, data & analytics, customer experience, and systems integration.

Under data and analytics, it turns big data into business insights that help identify business opportunities, improve customer experience, and make reliable decisions with its amazing set of services like data architecture, data strategy, data science, data engineering, data visualization, and data governance.

It has been recognized in many popular publications including Forbes Inc. 5000, Vault, and many more

Founded In: 1997
Headquarters: Richmond, Virginia
Locations: Richmond, Atlanta, Charlotte, Chicago, Columbus, and many more.
No. of Employees: 1,001-5000
Support: Phone, email, and forums.

Features:

  • Helps in building data architecture as a strategy to turn big data into business insights.
  • With the help of data scientists, you can build strong business intelligence and analytics capabilities.
  • With proper data engineering, it enables big data readily accessible and solves complex data problems.
  • Intuitive and interactive visualizations of data are provided.
  • Improves data security and compliance with data governance services.
  • Enables you to decide the access permissions i.e., who can access data.

Why we selected CapTech:

CapTech has been selected among the best Data Science Consulting Companies for its strong business intelligence and analytics capabilities with efficiently managing, protecting, accessing, and tracking data with proper data strategy & architecture, data science, data engineering, data visualization, and data governance.

It also improves compliance, security, lineage, and data quality.

Pros:

  • Support technologies like machine learning, AI, and IoT.
  • Strong business intelligence and analytics capabilities
  • Scalable cloud technologies.
  • Interactive visualizations.
  • Pre and post-sales technical support.

Our review: We recommend CapTech for their excellent Big Data Consulting Services and impressive data visualization services. These services provide comprehensive data views, allowing decision-makers to identify new marketing opportunities, maximize profitability, attract new customers, and measure customer behavior more efficiently.

It supports technologies like machine learning, AI, and IoT.

Pricing: Contact for pricing.


Frequently Asked Questions

1. What is data analytics consulting?

Data analytics consulting is a profession that includes guiding organisations to improve data analytics processes by helping them collect and analyze data to maximise profits.

2. What does a data analytics firm do?

A data analytics firm helps in processing and analysing big data in real-time that can be further used by organisations in making strategically guided decisions and to improve overall operational efficiency.

3. Which company is best for big data analytics?

The best companies for big data analytics are:

ScienceSoft
Centric
Slalom
Cognizant
ZS

4. Is data analytics in demand in the USA?

Yes, the demand for data analytics is increasing in the US. As per the reports generated by Yahoo Finance, it is increasing with a CAGR of 13.2% and is expected to reach USD 549.73 Billion by 2028. There are many exceptional Data analytics consulting companies in the USA including ScienceSoft, Slalom, ZS, and many more.


Conclusion

Through this research, we concluded how essential a data analytics consulting company and service could be. It not only offers you intuitive and interactive data visualizations but also helps in building strong business intelligence and analytics capabilities.

It advises you on how to make a perfect data strategy & architecture to have a comprehensive view of the entire data.

There are many excellent Data Analytics consulting firms, one better than the other. We researched thoroughly and brought the best among them. Each company is different on its own providing different sets of services with different pricing.

So to select one, you need to evaluate what exactly you want from them. In case you need to organize high-velocity data then you can choose from ScienceSoft, ZS, and CapTech. If you need analytics of the life sciences industry specifically, you can select Veeva.

In this way, you can select from the given list of Data Analytics Consulting Companies as per your requirements.

=>> Contact us to suggest a listing here.

Our Review Process:

  • Time Taken to Research this Article: We spent 27 hours researching and writing this article so you can get a useful summarised list of the Data Analytics Consulting Companies with a comparison of each for your quick review.
  • Total Data Analytics Consulting Companies Researched Online: 30
  • Top Data Analytics Consulting Companies Shortlisted for Review: 11

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