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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

Combine CSV files in RStudio in 5 Easy Steps

Combine CSV files in RStudio in 5 Easy Steps Unfortunately, with the latest update to RStudio, RWordPress has not yet...

Forecasting Dengue Epidemics

Predicting the next Pandemic – Dengue

Predicting Dengue – DataDriven Competition Goal:  Predict Dengue outbreaks by the total number of cases by year and week for...

R Ultimate Histogram

Histogram in R

Histogram in R After a lot of finessing, code in R for a really great Histogram   #load libraries library(ggplot2)...

word network

Simple Visual Word Network

Simple Visual Word Network Allows users to interact with words, and related associations, visually. Network of names based on: a. ...

R Coding

R Coding

Coding in R A few snipits of code that are always useful: Finding which column has NA values: unlist(lapply(dataframe ,...

Machine Learning

Machine Learning: Charity Donor Analysis

Machine Learning:  Charity Donor Analysis Introduction A charitable organization wishes to develop a machine learning model to improve the cost...

Text Analytics Sentiment Analysis

Text Analytics in R – Internet of Things (IoT)

Internet of Things (IoT) Text Analytics in R A small corpus of ten articles related to the Internet of Things...

Factor Analysis Path Diagram

Factor Analysis to Identify Sectors

Factor Analysis Introduction Utilizing a stock portfolio data set and a factor analysis to identify sectors in the stock market,...

Principal Components Analysis - Grouped by Sector

Principal Components Analysis

Principal Components Analysis Utilizing a stock portfolio data set and the Principal Components Analysis as a method in reducing dimension...

Automated Variable Selection

Automated Variable Selection The Amex, Iowa housing data set build has been utilized to develop various iterative regression models to...

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