Predictive Analytics for Business Users

Assisted Predictive Modeling Is Easier than it Sounds
Leave it to the Software! Predictive Analytics for the Faint of Heart! Assisted Predictive Modeling, Predictive Analytics. Those terms strike terror in the hearts of most business users, and that is understandable. These mysterious-sounding terms sound complicated and lead business users to imagine confounding, confusing algorithms, and endless strings of numbers.
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Advanced Data Discovery and Augmented Analytics: Simple, Sophisticated Tools for Business Users

Advanced Data Discovery and Augmented Analytics: Simple, Sophisticated Tools for Business Users
The world of business analytics has changed dramatically in the past few years. If your business is looking to upgrade BI tools or to begin implementing an analytics solution, the solution must be user friendly for business users. The tools exist today for augmented analytics, augmented data discovery, self-serve data preparation and other features and modules that provide sophisticated functionality and algorithms in an easy-to-use dashboard and environment that is designed to support business users, as well as data scientists and IT staff.
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Predictive Analysis Tools are Not Just for Analysts

Predictive Analytics Puts You Ahead of the Competition
Plug n' Play Predictive Analytics Solutions for Every Business User! Predictive analysis is very important to your organization. If you can dependably predict and forecast results, you can stay ahead of the competition, address changing customer needs, capitalize on opportunities and solve problems before they negatively impact your enterprise.
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Plug n' Play! Analytics that Leads Business Users to Success

Assisted Predictive Modeling Leads the Way with Ease
Plug n' Play Predictive Analysis: Sophisticated, Yet Easy for Every User! Oh, the confusion of advanced analytical terminology. Read a report, attend a conference and your head is swirling with terms like 'assisted predictive modeling', plug n' play predictive analysis, smart visualization, augmented data discovery and augmented data preparation. Add to that, the sophisticated concepts of auto-suggest, auto-recommend, time series forecasting, causation and prediction and classification techniques and you may feel that you need a degree in data science to do your job.
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Predictive Analytics on Small Data

Predictive Analytics on Small Data
This is a small note on small data. I hope it has a big impact. The common understanding of the world is that one should use predictive and prescriptive data on big data. A vast amount of data, classified and grouped, running analytics to predict what will be the next event that one or more elements of the group will take. Predictive analytics like this allows pushing of right products to e-commerce shoppers. I am sure you all have experienced this on the large e-commerce site and enjoyed it.
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Power Up Your Predictions with Plug n’ Play Predictive Analysis

Power Up Your Predictions with Plug n' Play Predictive AnalysisTo be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. To accurately predict and plan, every enterprise must select a business intelligence solution that will support their efforts and provide business users with a rich set of features and tools.
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