Predictive Models

/Predictive Models

Predicting Advertising Campaign Success

By | 2017-06-22T17:42:36+00:00 June 22nd, 2017|Categories: Data Science, Predictive Models|

The purpose of this study was to predict the success of advertising campaigns by analyzing numerous data sources to determine the ROI of an advertising campaign. (e.g., Reach, Influence). We predicted the success of a particular advertising campaign based on brand, talent, external factors, and trends.  We built predictive models. There is a 90% probability that [...]

Forecasting Sales for New Sites

By | 2017-05-22T17:41:24+00:00 May 22nd, 2017|Categories: Data Science, Location Analytics, Predictive Models|

The purpose of the study was to forecast sales of new sites based on the data and sales of the operating companies. The hypothesis being tested was: H1: The investments in new companies are getting a high return. We built predictive models. We used location analytics. There is a 72.35% probability that the investments in [...]

Friendly-fraud (Chargeback) Detection Predictive Model

By | 2017-04-15T18:29:32+00:00 April 15th, 2017|Categories: Data Science, Predictive Models|

The Problem Our client has to actively seek friendly fraud (aka chargeback fraud) risk. Friendly fraud occurs when an individual makes a purchase online via their credit or debit card then requests a chargeback from the bank once the goods or services have been consumed. A completed chargeback cancels the original transaction and refunds the [...]

Customer Churn

By | 2017-04-10T17:45:48+00:00 April 10th, 2017|Categories: Data Science, Predictive Models|

The purpose of the study was to identify customers at risk of leaving. The research question being tested was: Research Question 1: What is the probability that customers will leave? We built predictive models. We performed churn analyses for the utility industry by analyzing the data including addresses, gas consumption, products, contract terms and more. [...]

Real Estate Forecast Algorithm

By | 2016-10-03T17:29:25+00:00 October 3rd, 2016|Categories: Data Science, Machine Learning, Predictive Models|

The purpose of this study was to forecast the sales and leasing revenue derived from non-managed properties for the next six-month period, based on the historical information in the Input data sheet for the previous six months. The hypothesis being tested was: H1: The sales and leasing revenue derived from non-managed properties will improve. We [...]

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This Sliding Bar can be switched on or off in theme options, and can take any widget you throw at it or even fill it with your custom HTML Code. Its perfect for grabbing the attention of your viewers. Choose between 1, 2, 3 or 4 columns, set the background color, widget divider color, activate transparency, a top border or fully disable it on desktop and mobile.