EnSight Showcases and Data Drops

Watch these Data Drops and EnSight Showcases from Waste Analytics, Samurai Data Analytics, RepRisk, RavenPack, and DataPulse, originally published on Tuesday, March 9th at 10:30AM ET.

Why Listen?

  • Exciting New Data Announcements
  • In-Depth Technical Reviews
  • Use Cases of Data and Focused Examples

Meet the Featured Companies:



RavenPack is the leading big data analytics provider for financial services. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured textual content. The company’s products allow clients to enhance returns, reduce risk and increase efficiency by systematically incorporating data-driven insights on news, social media and proprietary textual content in their models or workflows. RavenPack’s clients include the most successful hedge funds, banks, and asset managers in the world. 



RepRisk systematically flags and monitors material ESG risks and violations of international standards that can have reputational, compliance, and financial impacts on a company. By analyzing information from public sources and stakeholders and intentionally excluding company self-disclosures, it serves as a reality check for how companies conduct their business around the world. Based on a transparent and rules-based methodology, RepRisk provides consistent and daily-updated data with a timeseries from 2007. Receive our quantitative data on more than 150,000 public and private companies of all sizes, in all sectors and markets.

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Samurai Data Analytics

Samurai Data Analytics is an innovative alternative data and intelligence solution for the capital markets. By leveraging AI and machine learning against alternative data sets, our unique solutions empower our clients to better define risks, identify opportunities, and most importantly, generate outsized returns.

We've developed our solutions from the ground up with traders and market participants in mind. With multiple latency options available, a highly scalable infrastructure, and seamless integration via API, FTP, S3, Redshift, etc., Samurai is flexible and easily deployable in any environment. Engineered by a sophisticated combination of proprietary methodology and niche industry expertise, our clients benefit from decreased volatility, lower market correlations and unmatched results.

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Waste Analytics

Waste Analytics gathers, analyzes, and produces high-resolution, actionable data for wastes generated by corporations. We do this through detailed research using our subject matter expertise and knowledge of federal, state, and local regulations, using our proprietary and consistent data collection methodology. We then apply our operational expertise and technical experience to perform remedy selection, cost estimation, and risk assessments in order to estimate the liability associated with waste practices. We developed our proprietary FEER Rating™ system in order to rate companies based on financial and environmental metrics associated with their waste management practices. Waste Analytics also provides analytical services to provide insight into companies' asset retirement obligations, environmental loss contingencies, off-balance sheet liabilities, and other environmental and ESG related financial risks.

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Founded in 2015, DataPulse is a joint venture of leading technology risk consultancy JAS Global Advisors and advanced analytics experts simMachines. DataPulse combines the expertise of these founding partners to meet the needs of asset managers, technology risk, and brand protection professionals. The latter business has been up and running since 2015, while the asset management business launched in June of 2018.

DataPulse excels at providing the primary revenue indicator for selected cloud-based offerings - enterprise user information. Census level datasets are global in scope and answer the following types of questions for targeted entities: Who are its customers? How many are there and how are they distributed – big/little/small? How is the customer set changing over time – adds/churn/migrations? What are the potential revenue impacts? What do trends say about the business’s health?


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