Analytics

Top 10 Data Analytics Companies that You Should Follow in 2022

Market Trends

Data analytics has become an integral part of all modern enterprises in 2022

Data analytics is becoming an important part of modern businesses. Most organizations are realizing the potential of investing in robust big data analytics tools that promise cost savings, increased revenue, and productivity gains. More than 90% of the global businesses are investing in their organization's digital transformation initiatives, and data analytics service providers are playing a huge part in this. In this article, we have listed the top data analytics companies that business leaders should definitely follow in 2022.

Inoxoft

Inoxoft is a well-known provider of specialized software development services at affordable rates and is headquartered in Philadelphia, USA. In order to provide outstanding results, the organization places a strong emphasis on good project management and promotes close client collaboration. The dedicated team at Inoxoft collaborates closely with customers to fully comprehend their unique product requirements, ensuring total satisfaction. The fact that customers select Inoxoft for their web development requirements repeatedly says a lot about the company's experience and dependability. Inoxoft aspires to surpass expectations and build enduring connections with its prestigious clientele with a strong commitment to excellence and a customer-centric approach.

Rapidops

Rapidops Inc. is a technology, transformation, and analytics company. It helps clients design, engineer, and launch advanced digital products and platforms that enable them to thrive and achieve more for their customers. Since 2008, their 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. Rapidops operate in retail, manufacturing and supply chain, healthcare, and technology industries. They are working with companies like Dassault Systems, Kroger, Harris Teeter, BigCommerce, and Tresata. They have also launched our own digital platforms like Salesmate.io, used by thousands of businesses across the globe.

Reonomy

Reonomy is the leading provider of CRE insights, empowering top brokerages, financial institutions, and commercial services providers with actionable data and solutions.

Armed with Reonomy's enterprise-grade products, CRE professionals and organizations gain comprehensive market understanding, discover opportunities, and streamline research processes. Reonomy's proprietary data pipeline puts actionable information about properties, owners, occupants, and lenders at your fingertips. By cleansing and augmenting your commercial real estate data, our solutions help strengthen your organization's infrastructural backbone with Reonomy.

SAP

SAP is a German multinational software corporation based in Walldorf, Baden-Württemberg, that develops enterprise software to manage business operations and customer relations. The company is especially known for its ERP software. SAP is the largest non-American software company by revenue, the world's third-largest publicly-traded software company by revenue, and the largest German company by market capitalisation. Since 2012, SAP has acquired several companies that sell cloud-based products, with several multibillion-dollar acquisitions seen by analysts as an attempt to challenge competitor Oracle. In 2016 SAP bought Concur Technologies, a provider of cloud-based travel and expense management software, for US$8.3 billion, SAP's most expensive purchase to that date. Analysts' reactions to the purchase were mixed, with Thomas Becker of Commerzbank questioning whether Concur was the right choice for SAP, while Credit Suisse called the acquisition an "aggressive" move.

Sedin Technologies

Sedin is an IT consulting, system integrator, and software services company. Since 2006, they have been delivering business solutions by leveraging domain expertise and cutting-edge technologies for our clients ranging from stratus to enterprise.

Sedin Technology's R&D team is constantly working on building innovative products and efficient solutions with an approach to adding business value and accelerating the ROI for our clients.

With Sedin, clients are assured of transparent business practice, cost-effective solutions, and high-quality services.

Sisense

Sisense seeks to drive a meaningful change in the world by making it easy for businesses to infuse analytics everywhere. Sisense goes beyond the dashboard by providing an AI-driven platform that any company can use to drive better, faster decisions, for their business and their customers.

More than 2,000 global companies such as GitLab, UiPath, Tinder, Nasdaq, GE, Rolls Royce, and Philips Healthcare rely on Sisense to innovate, disrupt markets and drive meaningful change in the world. Ranked as the No. 1 Business Intelligence company in terms of customer success, Sisense has also been named one of the Forbes' Cloud 100, The World's Best Cloud Companies, five years in a row.

Sigma Data Systems

Sigma data systems are specialized in data science as a service, BI solutions, and data analytics consulting. We help enterprise companies to make better decisions on time by helping them with big data analytics and visualization. They have a dedicated team of software engineers, big data developers, data scientists, business analysts, and domain experts to help you resolve critical problems of your business with vital data. They help futuristic companies to grow faster and make fewer mistakes. Sigma Data Systems follows each stage precisely to deliver world-class error-free software. They have qualified UI/UX designers and developers in various technologies. They work in Python, JAVA, PHP, React.js, Node.js, Angular.js, Golang, etc. Due to its mixed pool of technology developers, they can create a hybrid architecture to support the best of each technology.

Starburst Data

Starburst's mission is to free the customers to see the invisible and achieve the impossible.

For over a decade, and across three companies, their founding team has been focused on solving the pains of data access – it's too slow, inflexible, and expensive. Starburst provides a modern solution that addresses these data silo and speed of access problems. They help companies harness the value of open-source Trino, the fastest distributed analytics engine available today, by adding the connectors, security, and 24×7 support that meet the needs for fast data access at scale. Starburst Enterprise is a fully supported, production-tested, and enterprise-grade distribution of open-source Trino (formerly Presto® SQL). It improves performance and security while making it easy to deploy, connect, and manage your Trino environment.

Segment

Every marketing and analytics app runs on the same three types of data: who your users are, what they are doing, and where are they when they're doing it. Collect it once with Segment and send it to any tool. Accelerate compliance with regulations like the GDPR and the CCPA with automated data subject rights management and our open-source consent manager.

Whether your customers want you to delete or modify their data, or even stop collecting it entirely, Segment has you covered. Functions is a new way to connect thousands of applications to Segment. With just ten lines of JavaScript.

Snowflake

Snowflake Inc. is a cloud computing-based data warehousing company based in Bozeman, Montana. It was founded in July 2012 and was publicly launched in October 2014 after two years in stealth mode. The company's name was chosen as a tribute to the founders' love of winter sports. Snowflake offers a cloud-based data storage and analytics service, generally termed "data warehouse-as-a-service". It allows corporate users to store and analyze data using cloud-based hardware and software. Snowflake runs on Amazon S3 since 2014, on Microsoft Azure since 2018, and on the Google Cloud Platform since 2019. The company is credited with reviving the data warehouse industry by building and perfecting a cloud-based data platform. It was able to separate computer data storage from computing before Google, Amazon, and Microsoft.

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