Work Samples of Charles Balmes (LinkedIN)
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This document provides examples of various data analytics and business intelligence tools that were implemented including predictive analytics using regression and classification algorithms to predict sales, prices, and customer characteristics. It also describes tools for data visualization, text analytics, market basket analysis, and financial forecasting. Dashboards, reports, and data extraction, transformation, and loading processes were created using Microsoft SQL Server and other Microsoft business intelligence tools.
Work Samples of Charles Balmes (LinkedIN)
- 1. Charles C. Balmes --- Data Analytics & Business Intelligence Work Samples -------------------------------------------------------------------- Strategic Advantages for Data-Driven Cultures
- 2. The following tools were placed in service and generated ROI
- 3. Predictive Analytics* Multi-Variant Linear Regression Predicting Market Value * R Statistical Programming, SQL, and Excel
- 4. Predicting Sell Prices Using Analytics* Predicted Sell = Intercept(a) + yrs_since_model(b) + days_in_fleet(c) + DaysOnRent(d) + TotalCost(e) + hourmeter(f) + ModelSize(g) + FleetType_YN(h) Predictive Accuracy: Within 1% of Actual Sell Prices * using multi-variant linear regression analytics
- 5. Predictive Analytics* Logistic Regression and Poisson Distribution Predicting Sales Potential * R Statistical Programming, SQL, and Excel
- 6. CRM Basic Probabilities: Desire to buy (%) and desire to buy from us (%). PROBABILITY % THAT THE CUSTOMER WILL BUY NEXT YEAR (POISSON DISTRIBUTION). 94% PROBABILITY % THAT THE CUSTOMER WILL BUY FROM US (LOGISTIC REGRESSION). 78% COMBINED PROBABILITY 73%
- 7. Predictive Analytics* Classification Algorithms Discovering Market and Customer Characteristics * R Statistical Programming and InkScape Graphics
- 8. Decision Tree of Who Buys Your Product - Classification Analytics The decision tree, below, was created via a machine-learning algorithm. It identifies market niches and basic facts. ALSO: Classification Analytics can be used to predict customer churn.
- 9. Storytelling / Data Visualization Using R Statistical Software and InkScape Graphical Software
- 10. Storytelling Using Data Visualization
- 11. Data Visualization* Animated Motion Trending * Using Google Visual Motion Charts, R Statistical Programming, and SQL
- 12. Data Visualization: Trend Analysis Using Google Motion Charts
- 13. Text Analytics* Summarize Conversations, Emails, Chat Threads, Logs, Etc. * R Statistical Programming
- 14. Text Analytics: Summarizing What People Are Saying About You Source: Conversations between telemarketers and prospective customers
- 15. Predictive Analytics* Market Basket Discoveries (e.g., “People who have purchased this book, have also made these purchases”) * Association Algorithms Found in R Statistical Programming
- 17. Account Retention Tools Data Visualization and Real-Time Web Reports Using Microsoft SQL Server Reporting Services (SSRS)
- 18. Data Visualization: Geo Mapping of Real-time Business System Revenue Rendered in SharePoint
- 19. Data Visualization: Geo Mapping of Market Data (Us versus Competitors)
- 20. Predictive Analytics* Financial Forecasting and Trending * R Statistical Programming (ARIMA Algorithm). Results Rendered in SharePoint
- 21. Predicting Trends Using Time Series Analytics * Autoregressive Moving Average Using R statistical programming and data Visualization rendered in SharePoint
- 22. KPI and Metric Storytelling Using Microsoft SQL Server Reporting Services (SSRS)
- 23. Data Visualization - Various Examples
- 24. Text Search Analytics XML and SharePoint Built-in Functionality
- 25. Text Analytics: Google-Style Text Search of All Historical Work Orders and Quotes
- 26. Drill-Down, Drill-Through Financial Web Reports Using Microsoft SQL Server Reporting Services (SSRS)
- 27. Business Intelligence: Parameterized Drill-Down and Drill-Through Report Technology Drill-Down Drill-Through to view detail
- 28. Dashboard Reporting Using Microsoft SQL Server Reporting Services (SSRS)
- 29. Business Intelligence: Dashboard KPI’s and Metrics
- 30. System Resource Improving Human Resources Using Microsoft SQL Server Reporting Services (SSRS)
- 31. System Solutions Streamlining Human Solutions – Example #1: The Dispatcher’s White Board Purpose: From Workorder Header, renders scheduling for all to see via web.
- 32. Web-Designed Tools: Systems Resources Improving Human Resources Using Microsoft ASP.NET (Visual Studio) and SharePoint Publishing
- 33. System Solutions Streamlining Human Solutions – Example #2: Technician Time Sheet Website Purpose: Auto loads Tech’s time and notes into business system.
- 34. Recurring Data Extraction, Transformation & Loading (ETL) Using Microsoft SQL Server Integration Services (SSIS)
- 36. Microsoft SSIS at the Core
- 37. Online Analytical Processing (OLAP) Dimensional Cube Built Using Microsoft SQL Server Analysis Services (SSAS)
- 38. Business Intelligence: Dimensional Inquiry Using 3D Data Cube (aka (OLAP) Using Microsoft Office and SQL Server Analysis Services * Microsoft SQL Analysis Services rendering data in MS Excel.
- 39. Analytics: Dimensional Inquiry Using 3D Data Cube Using Microsoft SharePoint* * Microsoft SQL Analysis Services rendering data in a SharePoint website via Excel Services.
- 40. Data is the New Oil. - Meglena Kuneva, European Consumer Commissioner
- 41. High Watt Solutions is my company used to invoice contracted work.