Predictive Analytics is a byproduct of the big data era, and involves the use of data, statistical algorithms and machine-learning techniques to identify the likelihood of future outcomes based on historical data. There are now 100s of innovative Predictive Analytics Companies making predictions about a range of business outcomes, including the behavior of customers, products and markets.
We decided to pick out the Top 10 ranked companies in the VentureRadar database offering Predictive Analytics products that can be applied to their customers’ own data. You can find out more about each company in the profiles below.
InsideSales.com offers a sales acceleration platform built on Neuralytics, the company’s predictive and prescriptive self-learning engine. It is designed to provide predictive sales communications, engagement tracking, forecasting, rep motivation and hiring support. InsideSales.com says its customers experience revenue growth up to 30% in as little as 90 days.
ZestFinance is a financial services technology company that uses machine learning and large-scale big data analysis to help lenders make credit underwriting decisions. The result is increased credit availability for borrowers, particularly for millions of underbanked Americans, and higher repayment rates for lenders.
Civitas Learning is on a mission to help college students learn well and graduate on time. As students pursue their educations, they tell their stories in the data they leave behind. Civitas Learning see that information — captured in higher education databases — as an untapped resource to help millions of students. The stories collected there capture students’ decisions, their learning journeys, and their academic outcomes. Civitas Learning analyzes them to generate personalized, real-time recommendations that inform decisions, big and small, across the student lifecycle.
Knewton personalises digital courses for students so every student is engaged and no student slips through the cracks. By analysing data to figure out what a student knows and what they need, Knewton then recommends what to study next. Teachers use Knewton-powered real-time predictive analytics to detect gaps in knowledge and differentiate instruction for each student.
Localytics helps companies create personalized app experiences that drive higher engagement, loyalty and lifetime value. The company’s solution is designed to allow mobile marketers and developers to gather deep, actionable user insights that power predictive intelligence, automate marketing campaigns and personalize push and in-app messaging. Localytics currently supports more than 6,000 customers and reaches 37,000 apps, 2.7 billion devices and 120 billion data points monthly.
Retention Science helps marketers understand customer data and predict customer actions to personalize email, website, and mobile marketing campaigns. The company’s Retention Marketing platform collects, processes, and interprets millions of customer signals, translating overwhelming data into actionable insights. Retention Science powers etention-focused marketing campaigns for the likes of Target, The Honest Company, and Dollar Shave Club.
PredictionIO is an open-source Machine Learning server for developers and data scientists to quickly build and deploy predictive applications. PredictionIO’s template gallery offers a wide range of predictive engine templates for download, which developers can then easily customize. PredictionIO eliminates the friction between software development, data science and production deployment. It takes care of the data infrastructure routine so that data science teams can focus on what matters most.
Feedzai is a big data company that uses artificially intelligent, machine-based learning to prevent fraud. Every day, the modern world produces petabytes of data, and Feedzai enables businesses to accurately analyze this information to keep their customers’ data and transactions safe at any place or moment in time. Feedzai’s machine learning platform transforms the management of risk and fraud into a real-time decision science to help payment providers, banks and retailers prevent fraud in omnichannel commerce.