Charles C. Balmes

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Data Analytics &

Business Intelligence

Work Samples --------------------------------------------------------------------

Strategic Advantages for Data-Driven

Cultures

The following tools were

placed in service and

generated ROI

Predictive Analytics*

Multi-Variant Linear

Regression Predicting

Market Value * R Statistical Programming, SQL, and Excel

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

Predictive Analytics*

Logistic Regression and

Poisson Distribution

Predicting Sales Potential * R Statistical Programming, SQL, and Excel

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%

Predictive Analytics*

Classification Algorithms

Discovering Market and

Customer Characteristics

* R Statistical Programming and InkScape

Graphics

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.

Storytelling / Data

Visualization

Using R Statistical Software and InkScape

Graphical Software

Storytelling Using Data Visualization

Data Visualization*

Animated Motion

Trending * Using Google Visual Motion Charts, R Statistical Programming, and SQL

Data Visualization: Trend Analysis Using Google Motion Charts

Text Analytics*

Summarize

Conversations, Emails,

Chat Threads, Logs, Etc. * R Statistical Programming

Text Analytics: Summarizing What People Are Saying About You Source: Conversations between telemarketers and prospective customers

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

Suggested Selling Tools

Account Retention Tools

Data Visualization

and Real-Time Web

Reports

Using Microsoft SQL

Server Reporting Services

(SSRS)

Data Visualization: Geo Mapping of Real-time

Business System Revenue Rendered in SharePoint

Data Visualization: Geo Mapping of Market Data (Us

versus Competitors)

Predictive Analytics*

Financial Forecasting and

Trending

* R Statistical Programming (ARIMA

Algorithm). Results Rendered in SharePoint

Predicting Trends Using Time Series Analytics

* Autoregressive Moving Average Using R statistical programming and data Visualization rendered in SharePoint

KPI and Metric

Storytelling

Using Microsoft SQL Server Reporting Services

(SSRS)

Data Visualization - Various Examples

Text Search Analytics

XML and SharePoint

Built-in Functionality

Text Analytics: Google-Style Text Search of All

Historical Work Orders and Quotes

Drill-Down, Drill-Through

Financial Web Reports

Using Microsoft SQL

Server Reporting Services

(SSRS)

Business Intelligence: Parameterized Drill-Down and

Drill-Through Report Technology

Drill-Down

Drill-Through to view detail

Dashboard Reporting

Using Microsoft SQL

Server Reporting Services

(SSRS)

Business Intelligence: Dashboard KPI’s and Metrics

System Resource

Improving Human

Resources

Using Microsoft SQL Server Reporting Services

(SSRS)

System Solutions Streamlining Human Solutions –

Example #1: The Dispatcher’s White Board

Purpose: From Workorder Header, renders scheduling for all to see via web.

Web-Designed Tools:

Systems Resources

Improving Human

Resources

Using Microsoft ASP.NET (Visual Studio)

and SharePoint Publishing

System Solutions Streamlining Human Solutions –

Example #2: Technician Time Sheet Website

Purpose: Auto loads Tech’s time and notes into business system.

Recurring Data

Extraction,

Transformation &

Loading (ETL)

Using Microsoft SQL Server Integration

Services (SSIS)

Microsoft SSIS at the Core

Online Analytical

Processing (OLAP)

Dimensional Cube Built

Using Microsoft SQL

Server Analysis Services

(SSAS)

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.

Analytics: Dimensional Inquiry Using 3D Data Cube

Using Microsoft SharePoint*

* Microsoft SQL Analysis Services rendering data in a SharePoint website via Excel Services.

Data is the New Oil.

- Meglena Kuneva, European Consumer Commissioner

High Watt Solutions is my company used to invoice contracted work.