BY Dan Herbatschek | 5 MIN
DATA SCIENCE IN CONTEXT
While data engineers are constantly finding innovative and powerful new ways to capture, collate, and condense unimaginably massive volumes of data, on the other hand, data scientist are leading change by deriving valuable and actionable insights from raw datasets. Data scientists use systematic mathematical techniques and algorithmic approaches to derive solutions to complex business and scientific problem problems.
HOW ERDŐS INNOVATES WITH DATA SCIENCE
APPLICATIONS TO BOTH BUSINESS AND SCIENCE
In business, we use data science to empower organizations with the data information that they need to optimize organizational processes for maximum efficiency and revenue generation. In science, we use data science methods to derive results and develop protocols for achieving the specific scientific goals at hand.
DECREASING FINANCIAL RISK IN E-COMMERCE
We decrease financial risk in e-commerce business by using time series anomaly detection methods for real-time fraud detection – to decrease card-not-present fraud and to decrease incidence of account takeovers.
INCREASING SALES RATE
We find the best ways to upsell and cross-sell, increase customer loyalty, increase conversions in each layer of the funnel, and exact-target your advertising and discounts. Our data scientists can look at all data related to your business and derive insights that supercharge these efforts.
A SAMPLE OF WHAT ERDŐS HAS DONE WITH DATA SCIENCE
We used machine learning to optimize energy usages
We predicted for unknown containment levels from sparse environmental datasets
We designed automated theft and fraud prevention systems to detect anomalies and trigger alarms based on algorithmic results
We crafted site-recommendation engines for use in land acquisitions and real estate development
We implement and interpret predictive analytics and forecasting techniques for net increases in business value