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Data is the new currency, the only difference being it does not yield interest when stashed in a data bank. In a data-driven world, companies have come to realize the importance of data and have started gathering humongous data in the hope of taking fool-proof decisions. A 2021 Databricks and MIT survey found that only 13% of organizations are delivering on their data strategy. "Low BI maturity severely constrains analytics leaders who attempting to modernize BI," says Melody Chien, senior director analyst at Gartner. Why is this happening? Apart from having a shortage of data scientists, it is the lack of experience on part of data scientists which compels companies to take ill-conceived data science decisions, and to bridge this gap many Data-science-a-service companies have stepped in. Here are top 10 Data science as a service companies to know in 2022.
Location: Austin
A social advertising service agency, is also a leader in data and analytics, with technologies designed to change social marketing strategies. Data management and audience insights solutions are what they say are their USPs as far as DSaaS services are concerned. Unified has managed over $5Billion for social advertising data and brand management for big companies. In short, it acts like an omnichannel platform to help companies monitor and devise advertising strategies.
Location: California
Altyrix specializes in Analytics Process Automation (APA) company helping companies to fine-tune their data strategies instead of outsourcing them. It facilitates this by unifying analytics, data science, and business process automation in one platform and making it easy for companies to push their digital transformation strategies. In a way their strategies, in the long term, upskill employees.
Location: Ontario, Canada
OpenText tools basically rely on visualising data by finding a pattern, relationships, and trends in data sets. Their visualization tools help understand the inherent meaning lying within the data sets. It has been helping companies of all sizes to capture, govern, and exchange information on a global scale.
Location: Chicago
Civis analytics specializes in helping companies identify their right audience. With cutting-edge technologies and best-in-class data, companies gain a competitive advantage in identifying and attracting potential clients. The DSaaS provider boasts of an interdisciplinary team of data scientists, developers, and survey science experts, which puts them in an advantageous position when it comes to facilitating companies essentially making data-driven decisions.
Location: California
Data analysis is continuous and Sumo Logic exactly believes in this. They specialize in providing real-time analytics through cloud-based platforms. Sumo Logic's continuous intelligence platform is capable of automating the collection, ingestion, and analysis of data on one platform to generate insights in no time. Its platform can serve multiple tenants across multiple use-cases, for business to prosper in the fast-changing data economy.
Location: San Francisco
Databricks is a leader in Unified Data Analytics helping organizations organize and analyse their data on its Lakehouse Platform. It enables data and data-driven decisions across the verticals, all by adapting to machine learning and artificial intelligence in its methodologies. It has achieved some significant breakthroughs in areas like drug discovery, improving energy efficiency, and accelerating financial markets by speeding up innovation. Databricks counts some big-ticket companies like Microsoft, Amazon, Tableau, and Informatica amongst its clientele.
Location: Chicago
Numerator's expertise lies in providing market intelligence with data collected from retail locations, e-commerce sites, and big-box stores. Through this strategy, the company is able to analyze its consumers' buying habits and patterns.
It uses advanced technology to blend with first-party data from over 1 million US households, to get a comprehensive perspective of the consumers, which is relatively a difficult task in an industry that is slow to change.
Location: Chicago
SAS depends on Statistical Analytics for deriving insights and thereby drawing value from the data their businesses generate. For example, in the case of Volvo Trucks, they applied advanced analytics and sensor data to predict maintenance issues to address downtime issues.
Location: Illinois
Mu Sigma is the world's largest pure-play Big Data analytics and Decision Sciences company. They have worked with more than 140 Fortune 500 companies through an ecosystem that brings people together. Mu Sigma has an established and institutionalized approach to decision-making, designed to enhance the pace of change businesses see. They call it 'New Art of Problem Solving', where they strive to deliver a combination of art and science done at scale. They have been recognized by Walmart as their Supplier of the Year and as a preferred analytics partner by Microsoft.
Location: California
Cloudera is a cloud-based data analytics company that believes in making data-driven decisions possible. They empower making complex data amenable for deriving insights for companies to make feasible business decisions.
Powered by the relentless innovation of an open-source community, it delivers enterprise data cloud for any data, anywhere, from Edge to AI.
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