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10 Best Big Data Companies 2018

10 Best Big Data Companies 2018

10 Best Big Data Companies 2018

Company Management Description

LynnCo Supply Chain Solutions

www.lynnco-scs.com

Wendy Buxton
President
LynnCo Supply Chain Solutions is a firm that enhances performance of complex supply chains. The company was  designed  to serve the success of key executives who are tasked with reforming and growing companies. These companies typically have supply chain vulnerabilities around service and cost that require a consultative approach and tailor-designed solutions.

RiskIQ

www.riskiq.com

Elias (Lou) Manousos, Founder & CEO RiskIQ is the leader in digital threat management, providing the most comprehensive discovery, intelligence and mitigation of threats associated with an organization’s digital presence. With more than 70 percent of attacks originating outside the firewall, RiskIQ allows enterprises to gain unified insight and control over web, social and mobile exposures.

Apixio

www.apixio.com

Darren Schulte, CEO  Apixio is the data science company for healthcare. Apixio’s patented cognitive computing platform extracts and analyzes clinical data in electronic and PDF health records, generating deep insights into patient health. It feeds these insights into applications such as HCC Profiler which enables fast, comprehensive, and accurate HCC coding review.

Tagnos

www.tagnos.com

Neeraj Bhavani
Founder & CEO
Tagnos offers the leading clinical logistics automation solution for hospitals and clinics. Its SaaS platform analyzes data from clinical systems, including EHR, CPOE, LIS, RIS, and ADT systems, along with RTLS tracking devices, to facilitate patient flow through the hospital. 

Civis Analytics

www.new.civisanalytics.com

Dan Wagner
Founder & CEO
Civis builds end-to-end consumer analytics solutions and software for the world’s leading brands, companies, and organizations. With a powerful blend of best-in-class data, cutting-edge science, and an interdisciplinary team of data scientists, engineers, and survey science experts, Civis helps businesses gain a competitive advantage in how they identify, attract, and engage loyal customers and employees.

Cooladata

www.cooladata.com

Tomer Ben Moshe
Co-Founder & Chairman  
Cooladata is a cloud-based, end-to-end, fully-managed data warehouse optimized for behavioral analysis, designed for companies with digital products. Cooladata lets your teams get the answers they need on their own. In seconds, not days.

Unravel

www.unraveldata.com

 

Kunal Agarwal, Co-Founder & CEO Unravel Data provides the only Application Performance Management (APM) solution for Big Data. Unravel doesn’t just monitor and unify system-level data, but rather tracks, correlates, and interprets performance data across the full-stack in-order to optimize, troubleshoot, and analyze from a single pane. 

Healthverity

www.healthverity.com

Andrew Kress
Co-Founder & CEO
Healthverity is a leader in cloud solutions for networked data, enhances the transparency, connectivity, privacy of traditional and emerging healthcare data. It leverages innovative technologies to help its clients discover, license and link data inside their Enterprise and across the widest range of top tier data providers. The firm empowers customers to gain new perspectives on patient activity while ensuring complete privacy management and HIPAA compliance.

Confluent

www.confluent.io

Jay Kreps
Co-founder & CEO
Confluent provides the streaming platform that enables enterprises to maximize the value of data. Confluent Platform lets leaders in industries such as retail, logistics, manufacturing, financial services, technology and media, move data from isolated systems into a real-time data pipeline where they can act on it immediately. 

Arundo

www.arundo.com

Tor Jakob Ramsøy
Founder & CEO
Arundo provides cloud-based and edge-enabled software for the deployment and management of enterprise-scale industrial data science solutions. Arundo's software allows industrial companies and other organizations to increase revenue, reduce costs and mitigate risks through machine learning and other analytical solutions that connect industrial data to advanced models and connect model insights to business decisions. 

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