‍What is Data Analytics?

Data analytics is the process of gathering, cleaning, and making sense of data through data visualization to drive informed business decisions that are informed. This is typically through the creation of dashboards that are updated in real time. 

In terms of comparison to data engineering, it deals more with the cleanup and organization of the data for better insight and the creation of dashboards. This helps business leaders make informed decisions that can be moved to be updated in real time.

Based on your company, you can work with a wide range of business intelligence platforms like Amazon QuickSight, PowerBI, Cognos, and Tableau, based on what suits your business requirements best.

Key Benefits of Partnering with a Data Analytics Company

Many businesses lack the expertise, technology, or wherewithal to fully put data analytics to work. That's where a specialist data analytics company comes into play. What are the key advantages of teaming up with one?

1. Deep Knowledge and Practical Experience – Data analytics consulting companies have skilled professionals who grasp the nuances of handling large datasets, using advanced analytical tools, and making it easy to pull out meaningful insight.
   
2. Entry to the Newest Tech – Analytics firms put money into the latest software, AI-driven tools, and cloud platforms that may be too costly or complex for businesses to manage on their own.
   
3. Faster and More Accurate Understandings – With dedicated analysts and automated ways of doing things, businesses get quicker and more on-point understandings, cutting down the time it takes to make choices.
   
4. Ability to Grow and Adapt – Whether a company needs ongoing analytics assistance or a one-time deep dive into its data, data analytics firms put forward adaptable solutions.‍
5. A Way to Get Ahead of the Competition – Putting data analytics to good use helps companies stay ahead of the pack by spotting market chances, running things better, and keeping risks down.
   

10 Top Data Analytics Companies

1. Entrans 

Entrans is a Data analytics company that works with data visualization, data engineering, big data, and data lakes and has been around since 2019. In terms of Data analytics and business intelligence services, this company works with a wide range of Techstacks like PowerBI, Tableau, Amazon Quicksight, and Cognos.

Also, in terms of database migrations, they handle digital transformation and migration even in the case of legacy applications like moving Oracle 6c forms to Oracle 12c forms. 

Specializing in improving data pipelines and CI/CD deployment, they employ AWS-certified professionals, Azure, and even GCP professionals. With experience in Jenkins and Kubernetes, they also handle automation and DevOps for your cloud platform, providing you with data pipelines that are smooth and cost-effective. 

Most importantly, this data analytics company builds custom dashboards in record time and has consistent and timely support.

Key Services of Entrans:

• Business Intelligence and Data Visualization – Entrans transforms raw data into interactive dashboards using Power BI, Tableau, and Looker, enabling real-time decision-making.
• Big Data and Scalable Data Lakes – Our experts design secure and scalable data lakes with Hadoop, Apache Spark, AWS, and Azure for seamless data processing and storage.
• AI-Driven Analytics and Predictive Insights – Entrans uses AI and machine learning to uncover patterns, automate processes, and enhance forecasting for data-driven growth.
• Cloud Data Engineering and Integration – We ensure seamless data migration, integration, and transformation across AWS, Google Cloud, and Azure for optimal performance.
• Data Security and Compliance – At Entrans, we ensure your analytics processes comply with GDPR, SOC 2, and ISO standards, integrating encryption and governance for secure, compliant data insights.
• Strategic Data Consulting – We align data strategies with business goals, helping companies maximize the value of their data for a competitive edge.

How Entrans Migrated a Global Confectionery and Pet Food Manufacturer from Tableau to Power BI

When a multi-billion-dollar manufacturing giant needed faster, more agile insights, they knew their existing Tableau system wasn't cutting it.

The challenge was immense: migrate years of complex, business-critical data to Microsoft Power BI without disrupting global operations.

Entrans stepped in, engineering a flawless, zero-downtime transition. We didn't just move data; we re-architected their data analytics framework for the future. 

The result? ‍

A staggering 35% reduction in licensing costs and a 50% boost in reporting speed in under 6 months, and the creation of 4 dashboards from 29 pages. 

2. Accenture

One big name in the world of data analytics companies is Accenture. Accenture handles things like modernization and migrating your data to the cloud; they have positioned themselves as Data analytics experts. 

Currently, Accenture is using generative AI in data analytics for better predictive data models. They’re also involved with Agentic AI and creating reliable data governance and architectures for business intelligence.

Key Services of Accenture:

• Accenture's full suite of data analytics capabilities includes data transformation, AI solutions, predictive analytics, and intelligent automation so businesses can make better use of data.
  
• With solutions tailored to specific industries such as finance, healthcare, and retail, Accenture uses advanced technologies like AIP, Accenture Synops, and machine learning models. This ensures businesses get data-driven insights and stay ahead of the competition.

3. Deloitte

As one of the top consulting and Big 4 companies, Deliotte is involved in almost everything. It only makes sense that they are one of the top data analytics companies currently specializing in transforming legacy architecture to more efficient customer-centric modern solutions.

Key Services of Deloitte:

• Deloitte's use of AI-driven analytics and predictive modeling helps businesses spot trends, improve operations, and reduce risks. This all leads to smarter strategic planning.
  
• Deloitte’s data people operate in over 150 countries and serve clients in technology, media, telecommunications, and the public sector, and offer customized data solutions.

4. SAS Institute

SAS Institute is a premier supplier and data analytics software company that helps businesses extract insight, optimize operations, and make decisions based on data.

Through its Statistical Analytical System (SAS), the SAS Institute has advanced tools and solutions for processing, mining, dumping useful information, and forecasting.

Key Services of SAS Institute:

• SAS’s latest solutions, such as SAS Viya and SAS Visual Analytics, engage and empower business users to unleash artificial intelligence, machine learning, and business intelligence. This is to make sense of their data ‘as it happens’ with predictive and real-time analytics.
  
• SAS is strong in the data science and business intelligence market and helps fintechs, health insurers, retailers, and others to use advanced analytics and automation at scale to overcome their challenges.
  

5. Preqin

Based in London and privately held Prequin is a data asset and data analytics company. This is one of the best data analytics consulting companies for processing financial data.

Now technically a part of Blackrock, Prequin is owned by one the biggest hedge fund companies, which hold stakes in major Fortune 500 companies. 

Key Services of Preqin:

• They deal mostly with finance, fund managers, investment consultants, and even transaction services.
  
• Preqin has helped with accessing formerly inaccessible financial data for better decisions as well as creating platforms to access information for fun managers and improve outreach.

6. Wipro

With its headquarters in Bangalore, India, data has always been central to Wipro. Wipro is one of the bigger data analytics companies in Asia that specializes in business analytics, insight, digital transformation, and data engineering. Wipro has worked with financial services, healthcare, retail, and other IT-related services for a wide range of companies. 

Wipro is an international company with offices in the USA, Mexico, Brazil, and Costa Rica and also has offices in Africa and Europe.

Key Services of Wipro:

• They handle things like EPM automation, real-time resource management, as well as technology for companies that need to be done on a large scale level.
  
• Wipro also handles cloud computing, digital transformation, and cybersecurity for a wide range of industries like finance, healthcare, and manufacturing.

7. Capgemini

Capgemini has made itself an authority in the world of AI development companies and Data analytics. This is a Data analytics company well-known for its wide network and customer base. 

This top data analytics company has a huge set of case studies and existing clients for any industry looking for data and solutions.

Key Services of Capgemini:

• Capgemini has partnerships with companies like AWS, Informatica, Mango DB, and SAP in terms of services they work with various industries.
• This data analytics company is also involved with industries like aerospace, automotive, consumer goods, healthcare, hospitals, travel, and insurance as well as public sector projects.
  

8. Fractal Analytics

Fractal Analytics is one of the leading data analytics consulting companies and AI solutions providers, helping businesses across industries like healthcare and technology make data-driven decisions.

With a strong presence in the USA, UK, and India, this is one of the more agile data analytics companies that specializes in AI-driven insights, predictive modeling, and big data analytics.

Key Services of Fractal Analytics:

• The company leverages machine learning, optimization, and text mining to extract valuable insights and enhance decision-making.
  
• Through subsidiaries like Qure.ai and Cuddle.ai, Fractal Analytics offers AI-powered solutions such as recommendation engines, chatbots, and computer vision applications.

9. Tata Consultancy Services (TCS)

Tata Consultancy Services is one of the best data analytics companies for enterprise development and big data analytics, given its large team and data-centric culture they had since its inception. TCS is a group that has generated a consolidated revenue of 29 billion as of 2024. 

In terms of capability, they can deliver on projects on time. That said, it's worth mentioning that given the large workforce, there might be limits in terms of specialization and customization for specific companies.

Key Services of TCS:

• TCS’s analytics and AI solutions and services on the Microsoft Cloud help companies speed up their data transformation journey.
  
• TCS operates in multiple industries across 55 countries, leading the way in innovation for over 55 years.

10. Vention 

One of the best companies for Data analytics in terms of big data consulting is Vention. This is one of the best data analytics companies for handling big data.  Vention also handles development, data security, compliance, as well as, data science consulting.

With over 20 years of experience and engineering projects in its portfolio, this company delivers on project requirements, with some of its clients being Vimero, IBM, Coca-Cola, and PayPal.

Key Services of Vention:

• This company is in almost every industry including ones like E-Commerce and financial services.
• They work with a wide tech stack from Python, Java, AWS, Azure, and GCP making them a reliable option to work with especially considering the reviews.

How to Choose the Right Data Analytics Company for Your Business

With so many data analytics consulting companies out there, how do you pick the right one without feeling overwhelmed? Here's how to get it right:

1. Figure Out Your Business Goals – Before you start looking at data analytics companies, nail down what you want to get out of it. Are you after customer understanding, improvements to how things run, or forecasting?
   
2. Assess Their Knowledge and Industry Track Record – Not all data analytics consulting companies specialize in the same industries. Look for a firm with experience that fits your field.
   
3. Take a Look at Their Tech Tools – Make sure the company uses up-to-date analytics tools, AI, and machine learning abilities that match what you need.
   
4. Data Safety and Rules – Seeing as analytics deals with sensitive data, the company should stick to strict data safety and follow data compliance laws in relation to which industry it’s related. This can be healthcare (HIPAA), finance (PCI-DSS, GDPR), or information related to the usage of a specific software or application.
   
5. Past Successes and Client Comments – Look for proof of past successes and client comments to see if the data analytics companies listed are trustworthy and effective.
   
6. Ability to Grow and Help – Pick a company that can change its services as your business grows and that keeps on helping out.

Trends in Data Analytics for 2025

1. Analytics Run by AI – More businesses are turning to artificial intelligence and machine learning to automate data analysis and come up with forecast understandings.
   
2. Dealing With Data As It Happens – Companies are moving away from processing data in batches to analyzing it in real-time to make quicker, data-driven choices.
   
3. Data Open to Everyone – Businesses are giving employees at all levels entry to and the ability to analyze data without having to depend on IT teams.
   
4. Analytics in the Cloud – With data volumes getting bigger, businesses are using cloud platforms for storage and analytics to make things more accessible and able to grow.
   
5. Analytics That Put Privacy First – With more data rules in place, businesses are focusing on analytics that keep privacy safe by using things like federated learning and differential privacy.

Why Choose Entrans as Your Data Analytics Partner?

As tech keeps moving forward, staying up to date on trends and the best ways of doing things will be key to getting the most out of data analytics.

Entrans has been at the forefront of data analytics, helping Fortune 500 companies unlock valuable insights and drive data-driven decision-making. Our team of certified experts specializes in AWS, Azure, and Google Cloud making it one of the few data analytics companies that handle almost all tech stacks with AI, and data engineering.‍

‍With expertise in Python, SQL, Power BI, Tableau, and over 40+ data ecosystems, we empower businesses with real-time insight.‍

Want to harness the full potential of your data? Book a free 30-minute consultation call!

‍FAQs for Data Analytics Companies

What does a data analytics company do?

A data analytics company helps businesses gather, clean, analyze, and make sense of data to pull out valuable business insights for stakeholders. These companies use advanced tools and methods, including AI and machine learning, to make better choices and get better business results but mostly it is powered through effective data engineering pipelines and well-designed BI dashboards.

What are the 4 types of data analytics?

The four types of data analytics are descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. These types of analytics are used based on user goals, intentions, and how extensive the data collected is.

What are the 5 pillars of data analytics?

The 5 pillars of data analytics can be broken down into data collection, data storage, data clean up, data analysis, and finally data visualization. This is to help companies and decision makers get a better understanding of what the data points towards.

What percentage of global companies are actively using data analytics?

As of 2025, it is estimated that over 90% of large global enterprises are actively using data analytics in some capacity. This is no longer a niche capability but a fundamental part of modern business strategy for staying competitive

How are companies using data analytics to improve business decisions? 

Companies use data analytics to understand customer behavior, optimize supply chains, and forecast sales with greater accuracy. For instance, manufacturers can predict machine failures before they happen, and retailers can create personalized marketing campaigns.

How much do companies typically spend on data analytics? 

While spending varies widely, recent reports from industry analysts like Fortune Business Insights value the global big data and analytics market at over $340 billion in 2024. For individual companies, this investment often translates to between 2% and 5% of their total IT budget, a figure that is consistently growing year over year.

What are the best data analytics consulting companies for manufacturing enterprises?

At Entrans, we design data pipelines and analytics solutions from scratch, within your deadline and affordably, making it come of the best companies for data analytics. That said, there are also Global leaders like Accenture, Deloitte, and IBM that have solutions for large-scale digital transformation. 

‍How does integrating cloud-based data analytics help manufacturing companies?

Cloud-based data analytics gives manufacturing companies the power to process massive volumes of sensor and machine data without needing expensive on-site servers. This allows real-time monitoring of production lines across multiple factories, making it easier to spot inefficiencies or predict equipment failure.

What are the top data analytics outsourcing companies for cybersecurity?

Top-tier cybersecurity firms like CrowdStrike, Palo Alto Networks, and Mandiant are leaders in using data analytics to protect enterprises. That said, data analytics outsourcing companies like Entrans help create and automate data analytics systems.

Who are the biggest data analytics companies?

The biggest data analytics companies in the world are often the major tech giants like Microsoft, Amazon (AWS), and Google, which provide the essential cloud infrastructure and powerful tools. Alongside them, massive global consulting firms such as Accenture, Deloitte, and Tata Consultancy Services (TCS) lead in setting up large-scale analytics projects.