Top 10 Data Analytics Companies in the World

Data analytics is the future of business. It is making its way into businesses and changing the dynamics of business decisions. Simply put, analytics is the collection and study of data to derive meaningful, understandable patterns that let you see into the past, present, and future of the subject of the study. Since analytics are so accurate, they have been applied in business, resulting in the emergence of business analytics.

Today, there are professional business analytics companies that offer their services to businesses around the world. These companies use the latest tools and software run by professional analytics experts to provide a wide variety of insightful reports based on which critical business decisions can be taken. These companies have a multi-million dollar worth and are excellent companies to work for. These companies and the number of companies providing business analytics services are set to grow a lot in the coming years.

Best Data or Business Analytics Companies

The following are the biggest companies in data and business analytics. Some are purely into analytics, while some more prominent companies have business analytics as an essential part of their business ecosystem. These companies will make up the future of business analytics.

Here are the top 10 Business Analytics Companies in the World to Work for:

1. SAP

SAP is a company started by former IBM employees. Its main business is providing enterprise solutions, but business analytics software is also a big part of its services.

SAP is one of the world’s most prominent business analytics services providers. Their analytics services include sales & marketing, human resources, finance, and operations.

• Foundation Year – 1972
• Employee Strength – 96,500
• Locations – Germany with offices spread across the world.
• Core Services – Enterprise Software, Business Analytics & Cloud Capabilities

Website – Click Here

2. Salesforce

Considered one of the best companies to work for, Salesforce is truly a force to reckon with in the customer relationship management industry. Today, the company has many offices all over the world and provides business analytics software services.

Salesforce analytics is also known as Einstein Analytics and uses AI to analyze data. This analytics software also incorporates data not generated inside the Salesforce ecosystem, making it a popular choice.

• Foundation Year – 1999
• Employee Strength – 35,000
• Locations – the USA with offices spread worldwide.
• Core Services – CRM & Business Analytics

Website – Click Here

3. Tableau

With revenue expected to cross $1 billion in the coming years, Tableau is the market leader despite being a small company. Owing to its focus on business analytics, Salesforce recently purchased it. However, the company still functions independently and enjoys the push given by being associated with Salesforce.

Tableau provides analytics in the best visual formats, and the latest version of Tableau provides highly scalable data vector maps.

• Foundation Year – 2003
• Employee Strength – 4,181
• Locations – USA
• Core Services – Business Analytics Software & Tools

Website – Click Here

4. Qlik

Qlik is another data analytics service provider that is solely focused on business intelligence and analytics software, tools, and services. The company was originally founded in Sweden but has now moved base to the USA in the state of Pennsylvania.

Their previous software, QlikView, provided an advantage: the data and sources were not dependent on query-based models. Their new product, QlikSense, incorporates AI and functions more like a service than a product.

• Foundation Year – 1993
• Employee Strength – 2500 to 3000
• Locations: USA
• Core Services – Business Intelligence & Data Analytics

Website – Click Here

5. Mu Sigma Analytics

Mu Sigma Analytics is one of the best companies for analytics as their analytics incorporate an equal amount of human intelligence. Rather than giving all the power to the software or tool, it gives the user the power to use it to the best of their abilities.

Mu Sigma has built quite a reputation in a short while thanks to its excellent services. It also provides professional management services, which are based on its analytics software and tools.

• Foundation Year – 2004
• Employee Strength – 3500 to 4000
• Locations: USA
• Core Services – Management Consulting & Data Analytics

Website – Click Here

6. Fractal Analytics

Fractal Analytics is one of the world’s most widely distributed analytics companies, with offices in all the major metropolitan cities. It provides analytics services to various industries, such as healthcare, hospitality, and technology.

Fractal Analysis also has two other subsidiaries, Qure.ai and Cuddle.ai. Both of these companies are AI-based and provide services.

• Foundation Year – 2000
• Employees Strength – 1200 to 1500
• Locations – USA with offices in the UK and India
• Core Services – Artificial Intelligence & Business Analytics

Website – Click Here

7. Manthan

Manthans’ analytics solutions leverage the advantages of AI and Big Data. They are pretty popular in the retail industry and are one of the fastest-rising Indian companies in the world. Their AI is entirely cloud-based, making it easily deployable.

Based in Bangalore, Atul Jalan started the company, which has gone on to win many awards and accolades. Owing to its amazing performance, Manthan has become an important collaborator.

• Foundation Year – 2003
• Employee Strength – More than 500
• Locations – India
• Core Services – Business Intelligence & Analytics

Website – Click Here

8. Oracle

Probably one of the biggest software companies in the world, Oracle has been around for decades and is one of the most prolific companies in the world. Though the company has countless IT and software services, its business analytics solutions have also taken off and are capturing the market.

One of the biggest reasons their analytics software has become so popular is that it incorporates machine learning and can be easily collaborated into various ecosystems. It is predicted to be one of the most extensive analytics in the coming years.

• Foundation Year 1977
• Employees – 137,000
• Locations: USA
• Core Services – Database Solutions & Analytics

Website – Click Here

9. Tiger Analytics

Tiger Analytics is one of the leading analytics companies in the world. It provides a wide variety of analytics services, such as marketing analytics, customer analytics, risk analytics, and operations and planning. Its clientele includes CISCO, Intel, PayPal, and American Express.

Though relatively small, the company has established itself among some of the biggest analytics companies and has given tough competition to even the biggest names in the industry.

• Foundation Year – 2011
• Employees – 250
• Locations: USA
• Core Services – Analytics Consultant

Website – Click Here

10. Alteryx

One of the main things that makes Alteryx such a popular name in data analytics is that its analytics service and platform are divided into different parts based on the service a client wants. These can also be combined to scale its provision and delivery.

Alteryx has a revenue closing in on $500 million and is expected to grow considerably. It also has a presence all over the world, and its employee strength is also increasing. They began with the name SRC and Alteryx as the product’s name. But, they took on the product name as the company name

• Foundation Year – 1997
• Employee Strength – 1300
• Locations: USA
• Core Services – Data Science & Analytics

Website – Click Here

Key Trends in the Data Analytics Industry

Data analytics is a rapidly evolving field driven by technological advancements and increasing demand for data-driven decision-making. Here are some key trends shaping the data analytics industry:

1. Artificial Intelligence and Machine Learning Integration: AI and ML are integrated into data analytics tools to automate processes, improve accuracy, and gain deeper insights.
2. Real-Time Analytics: Businesses leverage real-time data processing and analysis to make immediate decisions and stay competitive in dynamic markets.
3. Data Privacy and Security: With the rise in data breaches, there’s a growing focus on enhancing data privacy measures and implementing robust security protocols.
4. Edge Computing for Data Processing: Edge computing enables data processing closer to the source, reducing latency and improving the handling of large volumes of data.
5. Predictive and Prescriptive Analytics: Organizations are moving beyond descriptive analytics to predictive and prescriptive analytics, enabling proactive decision-making and optimization of outcomes.
6. Cloud-Based Data Solutions: Cloud platforms are becoming the preferred choice for storing, managing, and analyzing vast amounts of data due to scalability, flexibility, and cost-effectiveness.

Why Choose Data Analytics as a Career?

Data analytics offers a promising career path with diverse opportunities across industries. Here are compelling reasons to consider a career in data analytics:

• High demand for skilled professionals: There’s a growing demand for data analysts, data scientists, and data engineers, leading to competitive salaries and career growth opportunities.
• Varied job roles: Data analytics offers a range of job roles catering to different skill sets and interests, including data visualization, statistical analysis, machine learning, and more.
• Impactful work: Data analytics allows professionals to derive actionable insights from data, contributing to informed decision-making and business success.
• Continuous Learning and Development: The field of data analytics is dynamic, offering continuous learning opportunities to stay updated with the latest tools and techniques.

How to Make a Career in Data Analytics?

A successful career in data analytics requires a strategic approach and continuous learning. Here are some tips to start and grow your career in data analytics:

• Acquire Relevant Skills: Develop proficiency in programming languages like Python, R, SQL, and data visualization tools like Tableau or Power BI.
• Gain Domain Knowledge: Specialize in a specific industry or domain to understand the context of data analysis and generate actionable insights.
• Build a Strong Portfolio: Showcase your data analytics projects, including data cleaning, modeling, and visualization, to demonstrate your skills to potential employers.
• Network and Collaborate: Engage with industry professionals, attend conferences, and participate in online communities to expand your network and stay updated with industry trends.
• Continuous Learning: Stay curious and learn about new technologies, methodologies, and best practices in data analytics through online courses, workshops, and certifications.
• Seek Career Advancement Opportunities: Explore opportunities for career advancement, such as pursuing advanced degrees and certifications or transitioning to leadership roles as you gain experience in the field.

Summary

All the companies mentioned above are taking analytics to the next level. These companies are growing and expanding all over the world. They will be creating thousands of jobs, so now is one of the best times to get an education in analytics, big data, and artificial intelligence. Artificial intelligence-based analytics companies are coming to the fore, and businesses will become bigger and better with more intelligent decision-making. Big data also plays an integral part in the growth of analytics and is a subject for the future.

If you are interested in business analytics as a student, you should seriously consider getting a formal education in the subject. At ASM IBMR, you can learn about business analytics and big data in our dual PGDM course. This fantastic course will put you on a path towards a great career in the future of business analytics and big data industries. Get in touch with our counselors today to know more.