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.

1. Charles C. Balmes
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Data Analytics &
Business Intelligence
Work Samples
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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

16. Suggested Selling Tools

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.