0%

.

.

.

.

.

Welcome to the future of business intelligence, where smart businesses utilize analytics to enhance, improve or gain an advantage over their competitors.  Predictive analytics uses patterns to determine relationships and behaviors found in  historical (structured and unstructured) data to make predictions about unknown future events.

Techniques including data mining, statistics, modeling, machine learning and artificial intelligence.

Predictive analytics provides organizations with the ability to anticipate outcomes, create new strategies based on data and not preconceived notions or  assumptions for the purpose of generating insights to drive decisions, actions, strategy and revenues.

Recent Ingenuity

Recent examples of Predictive Analytical work

Python Pandas

Power of Python Pandas

Power of Python Pandas The ease of extracting and summarizing large amounts of data using Python Pandas is powerful.  Below...

Extract User Reviews using Python Pandas

Extract User Reviews using Python Pandas

Extract User Reviews using Python Pandas TripAdvisor user reviews data about a particular hotel. To help the hotel understand the feedback...

Python Relational Database

Python Relational Database

Python Relational Database In this example, two data “assets” will be created to be used by a company for a...

Python Data Types

Python Data Types

Python Data Types:  Putting Airline Data In Order The data used in the python data types example is from OpenFlights.org and contains...

Survey Design & Implementation of Top Level Domains

Survey Design for Top Level Domains

Survey Design and Implementation for New Top Level Domains (TLDs) Abstract Is the new Top Level Domain (TLD) program a...

Predictive Analytics

The Power to Predict Who Will Click, Buy, Lie, or Die

Cluster Analysis Average Distance between Cluster

Cluster Analysis on Transformed Variables

Cluster Analysis on Transformed Predictor Variables Cluster analysis is grouping a set of objects in a way that objects in the...

1 2