Big Data Predictive Analytics, StatSoft Strong Performer
Written by: Angela Waner
Forrester recently published a report on Big Data Predictive Analytics Solutions. They scored StatSoft as a strong performer.
Disclosure: I was not interviewed by Forrester for their report. These are just my personal thoughts based on my work experience and the various news articles that I have read about the report.
Forrester said “StatSoft has a comprehensive number of analysis algorithms and is very strong in manufacturing use cases.”
Algorithms are important to StatSoft, but our focus is on the practical application of algorithms and data visualizations.
We have plenty of math geeks to support this work. If I step out of my office and cross the hallway, I could throw a paper airplane and it would land on a predictive analytics consultant or a statistician.
I agree that we have very strong manufacturing use cases, predictive analytics and quality control. StatSoft’s STATISTICA Enterprise™ platform is common in food, drink and drug manufacturing companies. If you eat cereal, use sugar, drink Pepsi or Coca-Cola, take medication or eat a sausage from the United States, then the odds are good that STATISTICA was used to ensure that product’s quality.
We also have pet food manufacturers as customers. This makes me happy because I own several dogs. I want their food to be safe too.
We have manufacturing customers like Georgia-Pacific (resins), SolarWorld (solar power components), Instrumentation Laboratory (medical devices), Caterpillar (heavy equipment) and many others.
As a project manager, I work on STATISTICA software projects and customer projects. In 2012, I worked on projects for Insurance and Financial companies with the STATISTICA Decisioning Platform®. The other StatSoft project managers were also specialized to industry.
I also know that we have strong insurance and financial uses cases. The problem… I am not allowed to share many of these use cases because of non-disclosure agreements (NDAs). I can share some highlights.
My largest project, in 2012, was completed in December. It involved a very large bank that needed to control their expenses and better manage their model life cycle. They decided to purchase STATISTICA Decisioning Platform and drop SAS.
An insurance project (large datasets, predictive analytics and BI), just finished installing STATISTICA Enterprise in the cloud last week. It was installed without any big challenges. It was installed by the customer. Our installation process for enterprise analytics is straightforward.
My favorite project in 2012 was a collaboration between a European bank and StatSoft employees. The bank had STATISTICA and SAS licenses. They wanted to drop their more expensive SAS licenses that generate reports.
The bank customer asked for an easy method to create crosstabulation reports. And the result is a new module named STATISTICA Reporting Tables.
Based on my work load, I would say that StatSoft is a strong performer in Insurance and Financial Services, too.
Image Credit: http://commons.wikimedia.org/wiki/File:Paperairplane.png