Top Data Analytics Companies

Data analytics is the act of transforming complex datasets into meaningful insights that can be leveraged for a host of business purposes. You will likely have heard the term Big Data, but what does it mean exactly? Let’s dive deeper by clarifying terms, taking a look at some top data analytics companies, and understanding their strategies.

“Every step you take…I’ll be watching you.” Sounds ominous when it’s not Sting’s sultry voice serenading you with those words, doesn’t it? Our modern, connected lives mean that digital data is being relayed across servers, telling the story of us as consumers, and as people. Different industries extract different types of data about us, and for different purposes, but the approaches are similar. Four main types of data analytics exist: descriptive, diagnostic, predictive, and prescriptive. Roughly, this translates to the following: ‘what’, ‘why’, ‘when’ and… ‘now what?’ As the name suggests, descriptive analytics describes a pattern in the data. Diagnostic analytics points to the cause of the pattern. Predictive analytics tells us when a new trend might appear, based on statistical and machine learning techniques. Prescriptive analytics are powerful ways for a business to make informed decisions about which direction to take, based on data.

This is a virtual treasure trove – no wonder so many are jumping on the Big Data trend.

The Ones to Watch: Data Analytics Businesses Making Moves

Data analytics businesses exist all around the world. What’s key is how they perform and add value to their clients by solving key business challenges. Who are the big players? Who outperforms their competitors? Where are you best served, depending on the challenge you face? Let’s see what some of the top data analytics companies have to say for themselves:

Startup Data Analytics Companies

Rapidops

“Rapidops Inc. is a technology, transformation, and analytics company. We help clients design, engineer, and launch advanced digital products and platforms that enable them to thrive and achieve more for their customers. Since 2008, our team has delivered thousands of projects and hundreds of digital products that are touching millions of lives daily, solving tough problems, and changing the way people live, work, and engage. We operate in retail, manufacturing & supply chain, healthcare, and technology industries. We are working with companies like Dassault Systemes, Harris Teeter, BigCommerce, FlexTG, and Tresata. We have also launched our own digital platforms like Salesmate.io, used by thousands of businesses across the globe.”

Starburst

“Starburst is the analytics engine for all your data. We provide the fastest, most efficient analytics engine for your data warehouse, data lake, or data mesh. We unlock the value of distributed data by making it fast and easy to access, no matter where it lives. Starburst queries data across any database, making it instantly actionable for data-driven organizations. With Starburst, teams can lower the total cost of their infrastructure and analytics investments, prevent vendor lock-in, and use the existing tools that work for their business. Trusted by companies like Comcast, FINRA, and Condé Nast, Starburst helps companies make better decisions faster on all data.”

Snowflake

“Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.”

Established Data Analytics Companies

SAP – hot off the press!

SAP has just acquired AskData. It demonstrates a continued commitment to best-in-class data analytics capabilities and delivering the value this portends to its customers.

Below is a statement by Pi Campus, one of the backers of AskData:

“Askdata’s IP will become part of SAP® Business Technology Platform and contribute to a next-generation lightweight analytics experience for SAP Analytics Cloud solution customers and to line-of-business applications.”

Salesforce

“When work flows, insights grow.

Make smarter decisions, faster. Get notifications for your most important business metrics and seamlessly find, share, and collaborate on analytics with CRM Analytics and Slack.

Discover the story your data has to tell.

Automatically uncover simple answers to complex business questions using transparent, understandable AI models built with clicks, not code. Learn what happened and why, so you can better predict what comes next.”

Data Visualisation

Pangea.ai partners with vendors that have data visualisation capabilities. This can augment your data strategy. For example, Airbyte.

Patterns and Trends – What is Big Data saying?

Human behavior is notoriously hard to predict. With all of this talk of being able to see reliable patterns in human consumers, citizens, and ultimately, participants within complex socioeconomic systems – it becomes important to reflect on how the data is managed and interpreted.

According to Nature, computational social science – the act of consolidating social data from our interactions with applications that track and monitor key behavioral facets – is on the rise. Different social sciences parse the information in different ways. The interpretations can mean different conclusions and thereby different decisions based on them. Psychology, for example, considers prediction to be a correlation – while computer science considers prediction to be a forecast. Nature tries to ensure transdisciplinary work is done, keeping communication lines open between different fields and industries. This has the potential to strengthen the results of top data analytics businesses – by making information visible across disparate disciplines, there is potential to gain a more holistic perspective of Big Data and thereby, human behavior.

If you’re curious about how Pangea can help you with gaining insight into your customers – don’t hesitate to reach out. Alternatively, use our vendor search tool to see our brilliant partners here.

What’s next for Data Analytics?

According to Gartner, the key trends to look out for in the data analytics space are:

1. Artificial Intelligence. As with most industries, AI is starting to make an appearance in a big way in Big Data. Touted as being able to cope with changes rapidly in an ever-changing business context, it could be a golden ticket to the next best decision you make.
2. Data Fabric. An integrated conceptual ‘textile’ of data that connects the dots between disparate applications, leading to an enhanced understanding of relationships between them.
3. Data Sharing. Analogously to the above, there is a drive to share data across traditional business borders for enhanced digital transformation capacity. Data fabric can support this.

For more extensive reading on the future of the data analytics field, and perhaps a little bit of a broader view on Data Science in general, have a look at one of our resources here.

FAQs:

Q1. Which data company is the best?

With a plethora of options available, no one data analytics company outperforms all others. Instead, you must select according to your specific set of needs. For instance, some specialize in finance and others in healthcare. Industry focus is important, as is the purpose of your data analytics. Whether you are looking to improve user outcomes or trying to optimize operational processes in your firm, different players will be relevant to consider. Pangea vendors offer VR services that can help to augment your data strategy. Check out what Codeus, Queensland, and Angry Nerds have to offer!

Q2. What is a big data analytics company?

A big data analytics company offers value to its clients by analyzing large sets of data to identify, understand and predict trends. This can be used to create business strategies that are validated and therefore more likely to succeed. While methods to understand and predict trends abound, there is a sound rationale for sharing across social sciences to develop a deep understanding of the data we see and interpret.

Q3. Who is the biggest data miner?

IBM is considered one of the biggest data miners and offers consultancy services on top of this to provide a full-service solution. Specializing in technology solutions for top-tier companies across industry and function, this is a heavy-hitter that is keeping up with the times. Competitors to IBM include Accenture, SAP, and Oracle, to name a few.