February 11, 2020
Supply Chain & Revenue Predictions for Pharmaceuticals

Supply Chain & Revenue Predictions for Pharmaceuticals

The Challenge A Private Equity firm needed to predict quarterly pharmaceutical revenue for the next quarter in terms of doctors and pharmacies. The problem here is that the data contains a lot of seasonality because some doctors are not regular in their services, the same happens at the pharmacy level. The challenge is to create a robust model to overcome these gaps in the information. […]
February 10, 2020
Sales Optimization Phase 1

Sales Optimization in Private Equity

PHASE 1: Data Transformation The Challenge A leading Private Equity and Venture Capital firm, with over $20B under management, requested an end-to-end data audit of their deal platform. They were looking to evolve the platform to make a scalable and unified sourcing tool with consistent architecture and infrastructure. They wanted an independent third-party to assess the technical decisions made to date in the development. The […]
February 5, 2020
Marketing Optimization Energy

Marketing Optimization For Energy Company

How do you know what works in marketing? Without the answer to that question, your marketing team is stuck with guesswork and hope. If you are launching a brand new product or company, you may have limited data. However, established companies can leave guessing behind. Our client, who has revenues of approximately $33.5 billion in the energy industry, has a global brand and leverages many […]
February 4, 2020
Finance Case Study

Marketing Optimization for Fortune 500 Bank

Client: Fortune 500 Bank Sector: Finance Vertical: Marketing Optimization Model: Upper Confidence Bound/Epsilon-Greedy The Challenge A Fortune 500 Bank needed to improve its conversion attribution modeling scheme. Namely, an outdated qualitative evaluation method needed to be replaced with a solution that estimates the marketing attribution values at the keyword level. The bank had a third-party ‘black box’ ad bidding system and they wanted to verify […]
February 3, 2020
Case Study Hr Automated

HR Automated

The Problem A fortune 500 Hedge Fund was looking to quantify beneficial hiring characteristics and to develop predictive hiring indicators to filter candidate applications. They had 10 years of unstructured free-text, both through resumes, third-party data, and interview notes. This contained large amounts of unstructured (free text, scans, emails) data. They were looking to standardize this data for improved analysis and to reveal non-standard correlative […]
January 10, 2020
Automated Deal Sourcing Platform

Automated Deal Sourcing Platform

Sales Optimization in Private Equity Phase 2 & 3 Results PHASE 2: Data Visualization and Integration PHASE 3: Predictive Analytics and Automation The Challenge A leading Private Equity and Venture Capital firm, with over $20B under management, requested an end-to-end data audit of their deal platform. They were looking to evolve the platform to make a scalable and unified sourcing tool with consistent architecture and […]
January 1, 2020
Digital Transformation of Government Documents

Digital Transformation of Government Documents

The Challenge Govzilla is a leading data processing company using Big Data and AI to make government data accessible, usable, and valuable to top Pharma Companies, Food Manufacturers, Medical Device Companies, and Service firms from around the globe. Govzilla required a central data hub to collect and unify highly varied data to allow end-users to track and identify compliance issues in their sectors. Govzilla needed […]
December 27, 2019

Removing Bias from Hiring with Natural Language Processing

THE CHALLENGE Resumes are inconsistent. Even the best OCR parsing leaves you with lots of messy and unstructured data. Then, as a candidate moves through the application process, humans get involved. Add to the data set free form text reviews of the applicant and both linguistic and personal biases. In addition, each data source is siloed providing limited analytical opportunity. SERVICES Machine Learning NLP People […]
December 27, 2019

Next Generation Record Linkage

THE CHALLENGE At the start of every data project, there are numerous separate data sources that alone offer limited analytical value but when combined and then enriched with public/third party data become very powerful resources for our data scientists. More data is available every day that businesses require to have a full picture when making business decisions. Joining this data together leads to a fundamental […]