DataProphet provides actionable artificial intelligence solutions to a myriad of industries from finance to legal.
DataProphet is a data science consultancy specialising in predictive analytics product development.
We use advanced machine learning algorithms to solve prediction problems that enable businesses to make money or save money. We don’t provide burdensome reports filled with descriptive statistics, but rather information that can immediately be acted upon.
DataProphet has a number of bespoke products designed to be introduced with minimal operational burden. We adapt each product to your individual business needs, accommodating various datasets and database management systems, as well as tuning the optimization of the products according to your preference. Your current business process is taken into account when integrating our products.
We can work closely with you to identify such a 'question' within your organization and, with the relevant data, provide you with a tangible solution that you can action. Success is always measured scientifically against a control set.
DataProphet’s Agent-Lead Matching Algorithm (ALMA) (Patent Pending) learns how each agent interacts with each different lead from historical data. Once ALMA has been trained, it will then understand for each individual agent, what type of lead they excel at selling to, as well as how good each agent is at selling. The set of bleeding edge machine learning algorithms embedded in ALMA provides a very high degree of accuracy even upon a small set of lead variables (e.g. name, age, phone number) building a nuanced understanding of each agent. DataProphet then uses
ALMA to review a set of new leads in order to optimally allocate them to the group of current agents according to each agent’s selling skill set. In the case of ALMA, DataProphet adapts takes your preferences into account. E.g. the number of leads assigned to different agents can be customized. Daily results are recorded to track the performance of ALMA through an automated process that interfaces with the client’s current database management system. To measure the improvement provided by ALMA, a control set is implemented simultaneously with the ALMA allocated leads.
Serial digital entrepreneur Schwartzkopff is a South African business executive with firm start-up experience and a proven background in the technology and social networking sectors. He was the founder of BetVIP, the world’s first licensed bitcoin-only sportsbook and casino and has been featured in everything from Business Day to the Wall Street Journal.
He previously founded FSMS, a VC-funded telecoms startup with more than 400,000 registered users where he first found a passion for using machine learning to discover rich interactions and extract value from massive data sets. Schwartzkopff is a graduate of the University of Cape Town, where he studied Chemical Engineering.
Frans Cronje earned his Honors in Actuarial Science from UCT, where his thesis involving Bayesian Networks to price ALSI options piqued his interest in machine learning algorithms. After working for Bain and Company as a management consultant, he succumbed to his interest in machine learning and recently completed his MSc in Mathematical Statistics at UCT through his investigation into the application of large Artificial Neural Networks upon computer vision.
Cronje has also successfully completed numerous online courses in machine learning offered by a collection of tertiary institutions including Stanford and the University of Toronto.
- Machine Learning
- Artificial Intelligence
- Predictive Analytics
- Pattern Recognition and Learning Techniques
- Natural Language Processing (NLP)
Jul 2015 - DataProphet mines data for profit
Jul 2015 - Tools You Absolutely Need