Skip to main content

Posts

Showing posts from February, 2019

Top 24 Predictive Analytics Software

Top 24 Predictive Analytics Free Software - Compare Reviews, Features, Pricing in 2019 - PAT RESEARCH: B2B Reviews, Buying Guides & Best Practices Top 24 Predictive Analytics Freeware Software : Review of 24 + free predictive analytics software including R Software Environment, Dataiku, Orange Data mining, RapidMiner, Anaconda, KNIME, DMWay, HP Haven Predictive Analytics, GraphLab Create, Lavastorm Analytics Engine, Actian Vector Express, Scikit-learn, Microsoft R, H2O.ai, Weka Data Mining, Apache Spark, Octave, Tanagra, PredictionIO, Apache Mahout, LIBLINEAR, Vowpal Wabbit, NumPy, and SciPy are the Top Free Predictive Analytics Software

Our Service Offerings and Solution offerings

What Is the Purpose of Business Intelligence in a Business? - Financesonline.com If you are starting your journey into the world of business intelligence (BI), we've come up with this helpful guide. It focuses on the common questions asked by new BI users. We've anchored it on the software's purpose but also go on to explore other pertinent areas such as what it is and what it can do for your business.

Data Warehouse Tutorial For Beginners | Data Warehouse Concepts |

Two Effective Algorithms for Time Series Forecasting

Building Shiny apps - an interactive tutorial

Building Shiny apps - an interactive tutorial If you want tutoring/training in Shiny or need help with building a Shiny app, I'm available for hire. Shiny is a package from RStudio that can be used to build interactive web pages with R. While that may sound scary because of the words "web pages", it's geared to R...

Tried and True Concepts for DW-BI Success

Design Tip #178 Tried and True Concepts for DW-BI Success - Kimball Group Time marches on and soon the collective retirement of the Kimball Group will be upon us. At the end of 2015 we will all retire. In my final Design Tip, I would like to share the perspective for DW/BI success I've gained from my 26 years in the data warehouse/business intelligence industry.

A Complete Tutorial on Time Series Modeling in R

A Complete Tutorial on Time Series Modeling in R Introduction 'Time' is the most important factor which ensures success in a business. It's difficult to keep up with the pace of time. But, technology has developed some powerful methods using which we can 'see things' ahead of time. Don't worry, I am not talking about Time Machine. Let's be realistic here!