31 data science companies you should know
Every time you buy something online, sign up for an email list or click through a company’s website, you generate data. Consequently, as internet commerce increases, so does the amount of digital information that’s collected. Many businesses retain a ton of it.
The tech term for this phenomenon is Big Data. And while it can reveal details about consumer behavior, indicate trends and provide other decision-making insights, combing through it to find these things is no easy task.
That’s where data science comes in.
The field is comprised of highly knowledgeable experts who know how to “extract meaning from and interpret data, which requires both tools and methods from statistics and machine learning, as well as being human,” Cathy O’Neil and Rachel Schutt write in their book, “Doing Data Science.”
Employing persistence and software engineering skills, the authors explain, these folks collect, clean, and munge (similar to rearranging) data, “because it’s never clean.”
If that doesn’t sound like “the sexiest job of the 21st century,” then take it up with the Harvard Business Review.
Seriously though, these George Clooneys of the tech world are in high demand. Why? Because today’s torrent of data is continuous and someone needs to tame it.
Oil giant Shell, for instance, used data science to anticipate machine failure at facilities across the world. Agricultural company Cargill developed a mobile data-tracking app that helps shrimp farmers reduce mortality rates. Dr. Pepper Snapple Group analyzed data with machine learning to glean more details about beverage sales and vendors. And freight company Pitt Ohio used historical data and predictive analytics to estimate delivery time with 99 percent accuracy.
If only there were enough data scientists to go around.
“There are very few data scientists out there passing out their resumes,” LinkedIn co-founder Allen Blue said at the Wharton School of Business earlier this year. “Data scientists are almost all already employed, because they’re so much in demand.”
An Indeed.com report indicates that job postings for data scientists jumped 31 percent in December 2018 compared to the previous year. And growth is up 256 percent since December 2013.
As companies hunt for in-house data scientists, several firms have stepped in to fill the gap by offering data science as a service.
Here are 31 big ones to check out — in Chicago, New York City, North Carolina and beyond.
How it’s using data science: Numerator is a market intelligence firm that analyzes merchandising and sales data from retail locations, e-commerce sites and big box stores so companies know what their consumers are buying and why. The information that Numerator provides can help companies improve brand strategy, advertising, distribution and pricing decisions.
How it’s using data science: By monitoring trends and analyzing data, Spins provides retail consumer insights to retail brands that promote healthy living. Clients include organic and natural food companies and those that sell wellness-oriented products.
Location: Cary, N.C.
How it’s using data science: Employing statistical analysis, SAS’s platform helps organizations better understand and draw value from the data that their businesses generate. For example, the company applied advanced analytics and AI to sensor data from client Volvo Trucks, which helped predict maintenance issues and minimize downtime.
Location: Northbrook, Ill.
How it’s using data science: Mu Sigma is an analytics and data science company that works with businesses in a variety of sectors, including technology, media, retail, finance, science, healthcare and hospitality. Its services help clients make data-driven decisions.
Location: Palo Alto, Calif.
How it’s using data science: Cloudera transforms complex data sets into actionable insights. In addition to providing an enterprise data cloud, which allows data to be accessed from anywhere, the company uses machine learning to automate analysis.
Location: Jersey City, N.J.
How it’s using data science: Through its platform, Signal Hub, Opera Solutions uses artificial intelligence and machine learning to sift through piles of data and provide large-scale analysis. Clients come from a variety of industries, including finance, healthcare and hospitality.
Location: San Francisco
How it’s using data science: Splunk is a software company that serves clients in the IT, cybersecurity, Internet of Things and data analytics sectors. Its business analytics platform helps businesses visualize and interpret their data by seeing it in context.
How it’s using data science: Narrative Science’s software turns data into stories by analyzing it and then applying natural language processing to produce readable and comprehensible reports.
How it’s using data science: Unified helps companies better understand their social media advertising presence. Its platform acts as a central data hub so businesses can monitor their performance and devise advertising strategies, and the company’s analysts help clients interpret their data.
Location: Mountain View, Calif.
How it’s using data science: Orbital Insight culls data from satellite images and analyzes it using artificial intelligence in order to find trends and produce insights. For example, the company can sift through thousands (or even millions) of images of a country to pinpoint where it’s developing. On a smaller scale, it can look at a large farm and predict agricultural trends.
Location: Schaumburg, Ill.
How it’s using data science: Acer helps large companies extract value from the data they collect. Customers use Acer’s predictive analytics platform and forecasting models to determine the best course of action for their business.
Location: San Francisco
How it’s using data science: Corterix designed a central platform that crawls structured and unstructured data and puts it into a single Structured Query Language database. From there, developers can more easily write code that analyzes data.
Location: San Francisco
How it’s using data science: Mixpanel is an analytics platform that lets businesses study user behavior across their websites and apps. Companies can also use this data to run experiments, set goals and form hypotheses.
Location: Irvine, Calif.
How it’s using data science: Alteryx is a self-service data analytics company that helps businesses analyze their own data instead of relying on data scientists.
Location: San Diego, Calif.
How it’s using data science: The Teradata Vantage platforms helps businesses manage and analyze data. Teradata Vantage is also integrated with popular third-party tools and languages so customers can run their own analysis without learning new software.
Location: Waltham, Mass.
How it’s using data science: A self-described “big-data-as-a-service” company, Cazena builds software to help enterprise companies migrate their data and run database analytics.
Location: Waterloo, Ontario, Canada
How it’s using data science: OpenText Analytics uses an array of software products to spot patterns, relationships and trends in data sets. In addition, its visualizations and interactive dashboards help users interpret their digital information.
How it’s using data science: Clockwork Solutions provides data analytics and predictive modeling to help industrial, military, aerospace and technology businesses with the maintenance, repair and operations of their assets and machinery. For example, the company can use simulations and models to predict future maintenance and parts needs, or to identify potential problems before they occur.
Location: Burlington, Mass.
How it’s using data science: Dimensional Insight’s Diver Platform is used for data management, governance and analytics. Diver pulls data from multiple sources and displays metrics on informational dashboards.
Location: Santa Clara, Calif.
How it’s using data science: The Qubole Data Platform uses machine learning and artificial intelligence to analyze and extract value from business data. Cloud-based and integrated with a variety of coding languages and open-source tools, the platform learns from user behavior in order to automate data processing.
How it’s using data science: Civis uses a blend of proprietary technology and statistical advisory services to provide businesses with so-called “person-level” data. Its primary focus is helping organizations understand people through data analytics.
Location: Redwood City, Calif.
How it’s using data science: Because online businesses are generating more data than ever, the company believes that data analysis should be continuous. That’s why Sumo Logic delivers real-time data analytics through a cloud-based platform.
Location: New York City
How it’s using data science: Sisense’s business intelligence platform helps data engineers, analysts and developers connect and prepare data, securely manage it, embed analytics and explore insights across devices.
Location: College Station, Texas
How it’s using data science: StataCorp creates statistical software for obtaining, manipulating and understanding data.
Location: Redwood City, Calif.
How it’s using data science: Oracle sells database software, cloud products and other enterprise software. Its May 2018 purchase of DataScience.com allowed Oracle’s clients to reap the benefits of machine learning, predictive modeling and more.
Location: Cary, N.C.
How it’s using data science: D4t4 Solutions creates products for data collection, management and analytics. The company also works to maintain security certifications in order to protect the data it handles.
Location: Zurich, Switzerland
How it’s using data science: Knime builds data science software that helps interpret data and make predictions. The company’s open-source analytics platform uses statistics and AI to create data science applications and services.
Location: Santa Cruz, Calif.
How it’s using data science: Designed to be accessible and comprehensible for both data analysts and business teams, Looker’s data platform creates reports and data visualizations that are shareable and easy to read.
Location: Fremont, Calif.
How it’s using data science: Infometry’s services include the implementation of data warehouses, enterprise performance management, business intelligence, big data analytics and predictive analytics. It’s focused on turning raw data into actionable insights.
Location: San Mateo, Calif.
How it’s using data science: SnapLogic’s self-service platform lets analytics and business teams more quickly and easily exchange data and make decisions.
Location: Reston, Va.
How it’s using data science: Zoomdata’s big data platform quickly processes large amounts of data. It can be deployed internally by company employees or embedded in customer-facing systems.
Images via Shutterstock, company websites and social media.