This page contains links to downloadable pdf versions of various pages on the SmartDrill website. If you
do not have the free Adobe Reader, you may follow the link below to download it; the download area is located
at the right side of that page:
Here is a zip file of the entire collection of SmartDrill pdf
files (size is about 12.3 MB).
And here are separate pdf files for selected individual pages, listed by content area:
Data & Research Services
handle data collection and data management; public data acquisition; and syndicated data overlays. We design and
execute qualitative and quantitative primary research and perform secondary data collection and analysis such as
Web scraping, social media analysis, etc.
Marketing Analytics (overview page)
SmartDrill has a broad array of marketing analytic services. We have deep and broad experience, from classical
statistics to the newest machine learning techniques; and from traditional structured data analysis to sentiment
mining of unstructured text data:
- Basic Introduction to Analytic
This page describes a variety of data analytic techniques ranging from simpler to more
advanced, and discusses the strengths and limitations of each one.
- Predictive Modeling
This diagram shows a
typical predictive modeling data mining process for using techniques such as linear or logistic regression,
- Logistic Regression
This bank loan credit risk analysis
demonstrates the use of binary logistic regression for identifying high-risk loan applicants.
This brokerage services analysis
demonstrates the use of a predictive ordinal CHAID model for market segmentation and targeting.
- Introduction To CHAID
This is a
basic introduction to CHAID predictive segmentation modeling. It discusses nominal and ordinal methods
and shows a simple CHAID Tree Diagram and Gains Table.
- Cox Regression
This analysis demonstrates
the use of Cox Regression to create a customer loyalty or "churn" model in the telecommunications
- ARIMA Time-Series
This analysis demonstrates the use of ARIMA time-series sales forecasting.
- Market Share Forecasting
example builds an ARIMA time-series market share forecasting model to understand fluctuations in market share
resulting from the entry of a new competitor into the market.
- Search Engine Optimization Services
SmartDrill provides a full range of Search Engine Optimization (SEO) services for both large
organizations and small, localized businesses.
Operations Research &
Analytics (overview page)
Here we apply any of a number of powerful mathematical and statistical tools such as linear programming, Monte
Carlo simulation modeling, decision trees, etc.:
- Optimization Programming
Here we introduce several
types of optimization programming, including linear/nonlinear, mixed-integer and goal programming, as well as
multiple objective optimization.
- Linear Programming
Here we demonstrate the use of linear
programming to solve a simple make-vs.-buy decision problem.
- Integer Programming
This example uses integer programming to
solve a personnel staffing optimization problem.
- Nonlinear Programming
This example uses nonlinear
programming to maximize the expected profit of a consulting firm's project portfolio.
- Evolutionary Optimization
This example uses
evolutionary optimization to solve the classic traveling salesperson problem.
- Goal Programming
This is an example of linear programming
optimization using goal programming to assist with planning a housing development.
- Multiple Objective Linear
This example uses Multiple Objective Linear Programming (MOLP) to solve a power plant fuel
buying problem by trading off the desire to minimize fuel cost with the desire to minimize pollution.
- Queueing Optimization
This page is a basic introduction to
queueing optimization, with links to specific examples.
- M/M/S queueing model
This is an example of a
M/M/S queueing model where we attempt to adjust the queue length and number of servers to handle peak
- G/G/S queueing model
This example shows a G/G/S
queueing model for supermarket checkout lines.
- M/G/S queueing model
This is a queueing model for
a fast-food restaurant with 3 queues, showing how a self-service drink dispenser improves the bottom
- M/D/S queueing model
This example shows how a car
wash can improve service throughput and increase its bottom line by shifting from hand drying to
- Risk Analysis
This is an overview of risk analysis
- Monte Carlo
This pages discusses the Monte Carlo simulation approach to risk analysis and
includes examples to show how it works.
- Monte Carlo Optimization
Here is an
example that combines Monte Carlo risk analysis simulation with nonlinear programming to optimize
consulting project assignments.
- Decision Analysis
Here we introduce decision analysis and show
examples of decision matrices and decision trees based on a hypothetical decision problem.
- Project Management
Here we discuss project management
techniques, including CPM/PERT; CCPM; project crashing and optimized project crashing; and risk or uncertainty
Our staff’s research
and analytic consulting experience covers a wide range of B-to-B and B-to-C industries, as well as nonprofits and
some case studies covering analytic projects & research projects for B-to-B and B-to-C, nonprofits and
We are a Massachusetts data mining firm that has participated in research and analytic consulting efforts on behalf
of clients ranging in size from start-ups to Fortune 100 companies, as well as nonprofits and government