Monthly Archives: February 2018


Speaking at the Global Predictive Analytics Conference

Implementing Predictive Analytics into Operational Workflows I will be presenting on April 3rd 2018 in Santa Clara, CA at the Global Predictive Analytics Conference.  My session focuses on how to build predictive analytics and integrate the model into your business.  I will examine two use cases: Customer Churn and Cross Selling and demonstrate the process to build the model from start to finish.  Where and how to engage with business teams to ensure the success of the project.  In addition, I will show how pilot projects build collaboration between the data science teams and business units to ensure both teams understand what is required for successful projects. For complete information on the conference - Predictive Analytics Conference Homepage

By |2018-02-27T07:14:09+00:00February 27th, 2018|Uncategorized|0 Comments

Increase Value by Creating a 360 Degree Customer View

Creating a 360 Degree Customer View Businesses today have a wealth of data and limited information and knowledge.  Unless you are using a single application to run your business, you will need to integrate your data to achieve data driven insights. Gaining knowledge about your customers and all of their interactions can enable you to outperform you competition.  A 360 degree customer view pulls relevant information from all of your data sources into a single repository that gives you easy and quick access about your customers. How can a 360 Degree Customer View increase revenue? Customized Customer Segementation Targeted Marketing Campaigns Loyalty Reward Cards Create Next Best Offer Programs Anticipate Customer Issues before they arise Potential Data Sources for a 360 Degree Customer View ERP Systems CRM Applications Transaction Systems Billing Systems Call Center Tracking Social Media Survey  Responses Considerations for building a 360 Degree Customer View What systems contain [...]

By |2018-02-25T15:35:59+00:00February 25th, 2018|Uncategorized|0 Comments

Text Mining and Sentiment Analysis of SuperBowl LII

Sentiment Analysis of Tweets from SuperBowl LII Do you own a business and wonder what people aka customers are saying about your company?  Using text mining and sentiment analysis enables you to uncover the words your customers are using and the positive or negative sentiment of those words.  Text mining involves taking text from any source and breaking it down into the core words.   Sentiment analysis then applies the score to the words from -1 (the worst sentiment) to 0 (neutral sentiment) to 1 (highest positive sentiment).  The scores of all the words found create the overall sentiment for that encounter. To show this in action, I ran sentiment analysis on Tweets the day after SuperBowl LII (2/5/2018).  In one example, someone tweeted "Congratulations Philadelphia SuperBowl champions".  The word champion has a positive sentiment and has a positive sentiment score of  .70.  When you take all of the words in [...]

By |2018-02-06T12:55:17+00:00February 6th, 2018|RapidMiner|0 Comments

Choose the Best Power BI Version for Your Organization

Selecting the Power BI Version for Your Business Microsoft's Power BI is their flagship product for data visualization.  It enables businesses to connect to hundreds of data sources, build and deliver dashboards, and share content with others in your organization.  Since it is cloud based, users can view the information from inside their network or on mobile devices from outside the network.  Understanding with Power BI Version you should select and how they interact can be difficult.  There are two core versions of the product, Power BI Desktop Free and Power BI Professional.  Power BI Premium creates a dedicated cloud environment for your users to access the content. Power BI Desktop Free The Power BI version: Desktop edition is free for use and it great for people that want to try the product on your own data.  You can build fully functional reports and dashboards, however, you cannot share your [...]

By |2018-02-05T07:15:48+00:00February 5th, 2018|Power BI|0 Comments