UPDATED BY
Rose Velazquez | Feb 07, 2024

From global Fortune 500 behemoths to small retailers, companies of all sizes are more focused than ever on big data. Whether it’s used to more effectively target new customers, pinpoint issues in the purchase process or enhance sales prospecting, data shows what’s working and what isn’t. It also helps predict problems and illuminate solutions. Find out how the following companies use big data to enhance business operations.

Big Data in Business

Big data in business is revolutionizing processes ranging from customer acquisition to a transparent supply chain and audience insights.

 

Big Data for Customer Acquisition and Retention

Business growth depends on gaining new customers and retaining old ones. Big data and analytics help companies to be more targeted in their customer acquisition while optimizing customer experiences to build loyalty.

 

Location: Mountain View, California

Treasure Data is a customer data platform for enterprises to unify data and kickstart growth. Serving customers in the retail, automotive, Internet of Things and entertainment industries, Treasure Data displays customer interactions across channels and devices to help companies optimize customer experiences. 

After implementing Treasure Data to enhance its player experience, virtual gaming company Survios gained access to 10 times the data volume, which helped it to better understand players’ needs.

 

Location: San Francisco, California

Datameer provides self-service customer analytics to help businesses improve conversion rates and increase customer retention. Data culled from a variety of sources — including websites, apps, email campaigns and social media — offers deeper insight into customer behaviors.

Online sports products retailer Surfdome implemented Datameer with impressive results, including increased customer acquisition, increased average customer lifetime value with repeat purchases and improved average purchase size with cross-sell offers.

 

Location: San Francisco, California

Mixpanel makes data analytics software for web and mobile designed to help businesses create better customer experiences. The platform analyzes behavior analytics across product and marketing efforts, providing insights that enhance customer engagement and retention.

Mixpanel’s platform provides companies with retention insights that include how frequently users engage daily, weekly or monthly. More specifically, Mixpanel answers questions like, “How many new mobile users of a certain age engaged with a product?” and “Do iPhone or Android users engage more often?”

 

Big Data for E-Commerce Analytics

As online businesses grow and more retailers move to digital hybrid operations, managing e-commerce data is an integral part of doing business online. The following companies track customer, product and online store data to optimize online sales.

 

Location: Charlotte, North Carolina

Glew is an e-commerce analytics platform that uses customer and product data to measure important metrics for store performance, customer behavior and product decisions. Glew’s customer analytics solution uses data to help e-commerce businesses identify the campaigns and channels responsible for the highest customer lifetime value and the lowest customer acquisition costs. Glew helps businesses integrate with platforms like Magento and BigCommerce, so data is pulled into one digestible place.

 

Location: Santa Cruz, California

Looker, part of Google Cloud, is a business intelligence platform that provides big data analytics solutions for multiple industries, including retail and e-commerce businesses. The platform unifies metrics into one readable dashboard and offers insights that help retain customers and drive sales, including how conversions are impacted by certain web page experiences and where problems are occurring in the customer purchase process.

Leading e-commerce companies like Glossier, Bonobos and Ibotta have used Looker to answer questions and make data-driven decisions.

 

Big Data for Marketing and Sales

There’s no shortage of big data and analytics tools that integrate sales and marketing data to help companies find prospects and customers. The following companies use some of those tools to grow their businesses.

 

Location: Oakland, California

Fivetran makes a maintenance-free data pipeline that automates and speeds up data extraction and replication processes. Even with vast datasets, the cloud-native product enables speedy analytics and insights to support real-time data-driven decisions. For example, customers using Fivetrans’ capabilities to support their marketing analytics strategy have seen increases in their return on advertising spend and marketing ROI, according to the company.

 

Location: San Francisco, California

Salesforce is a customer relationship management (CRM) platform that works with enterprises and organizations of all sizes and is primarily used by sales and marketing departments to track and visualize data from each customer interaction.

More than 150,000 businesses have used Salesforce to access a complete view of prospect and customer data across sales, marketing and service teams.

 

Location: New York, New York

Ampersand describes itself as “a data-driven TV advertising sales and technology company.” Ampersand brings customers The And Platform for planning, executing and measuring audience-based multi-screen TV campaigns. It helps target precise audience segments and provides answers to important questions like “What was the reach and frequency of my campaign?” and “Did my media drive the outcomes I wanted?”

 

Location: New York, New York

Botify is an Enterprise SEO Platform. It uses 1,000 different metrics to provide a comprehensive data map, which enables insights from a machine learning algorithm that tells customers which site optimizations to focus on for the greatest impact. The platform also allows for automations based on those data insights. Botify has been used by companies like Carvana, Condé Nast, Groupon and GitHub.

 

Location: Boston, Massachusetts

InsightSquared, a Mediafly company, provides sales and marketing analytics solutions that offer quick and automated reporting with historical customer relationship management data. The platform helps marketers gain visibility, justify spending and prove marketing return on investment with attribution reports. InsightSquared helps sales teams accurately forecast and manage pipelines without time-consuming manual report building.

 

Big Data for Supply Chain

Anyone who has anxiously tracked a package from departure scan to delivery knows logistics and supply chain data is important. The following companies provide data platforms to more efficiently organize and manage supply chain operations.

 

Location: American Fork, Utah

Domo provides solutions that digitally connect businesses through data. The platform unites data from proprietary systems, on-premise, cloud or third-party sources to help businesses track real-time data and provide visibility to the entire company.

Domo works in many industries, including logistics and supply chains, to help companies manage invoicing, pinpoint real-time costs and improve the speed and accuracy of deliveries.

 

Location: Scottsdale, Arizona

RateLinx is a logistics software company whose intelligence platform integrates data from track and trace, invoice processing and transportation management systems to provide predictive analytics and complete visibility of the supply chain in an organized dashboard.

By providing data that helps companies pinpoint problems and develop solutions, RateLinx elevates supply chains and logistics from cumbersome necessity to business asset.

 

Location: Hamilton, New Jersey

Voxware is an analytics software company that offers data solutions for supply chains. The platform integrates internal and external data into configurable dashboards that provide customizable analytical views, and its predictive analytics tool, VoxPilot, uses data from sources like traffic, weather and labor management to help companies anticipate and prepare for changes.

 

Big Data for Security

Security is an important component of the big data landscape. Whether they’re providing analytics and insights on threat risk or protecting data, these companies are bringing data-driven security solutions to businesses in industries from retail to insurance.

 

Location: Fully Remote

Enigma provides hard-to-access data on private small and medium-sized businesses, including firmographic, identity and financial well-being data for use in corporate due diligence. It uses the information obtained to make strategic data-driven recommendations for risk monitoring, marketing and sales, onboarding and other business processes.

 

Location: San Francisco, California

Splunk says its data platform supports “unified security, full-stack observability and limitless custom applications.” Splunk’s advanced analytics provide insights for fast threat detection and efficient investigations. Aflac, Slack, McGraw Hill, Asics and REI have been among the customers to make use of Splunk’s data-driven security solutions.

 

Location: Waltham, Massachusetts

Uptycs offers a cloud-native security analytics platform that can deliver insights aimed at closing security observability gaps. The company says its goal is to support security teams in making real-time decisions “driven by structured telemetry and powerful analytics.” The Uptycs platform is able to integrate with existing infrastructure and is compatible with applications like Slack and ServiceNow.

 

Location: Boston, Massachusetts

Immuta’s platform facilitates secure data access, ensuring users within an organization who have the right permissions are able to access data when and where they need it. The Immuta Data Access Platform automatically scans data sources to detect and tag sensitive data and allows organizations to track who can access what data, policy changes and user queries. Immuta’s customers have included data teams from Acorns, Sony and Mercedes-Benz Group.

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