We help you take a different look.

To help businesses reinvent their decision-making and increase their profitability, StatLog makes econometrics available to all.

What is

ECONOMETRICS ?

“The branch of economics concerned with the use of mathematical methods (especially statistics) in describing economic systems.”

– The Oxford Dictionary

In other words, econometrics means using statistical techniques and advanced IT tools to understand, explain, measure and predict various economic, commercial or social phenomena in raw data.

Our work methods are based on three

PRINCIPLES

1.

Data
holds value

Every day, businesses archive their data for security purposes, but few of them appreciate this data’s value. Their servers are full of highly valuable yet underused information. At StatLog, we help our clients see things differently. We use data generated by businesses and their environments to create indicators and measurements to reinvent decision-making.

2.

What can be measured
can be improved

Any measurable element is important to businesses’ decision-making process. Understanding and leveraging the value and impact of each component is essential in a competitive marketplace where today’s consumers pay close attention to detail and brand relationships.

3.

Econometrics
drive profitability

In today’s market, intuitive decisions are no longer an option as the speed of information eliminates any margin for error. At StatLog, our approach consists of working with actual, reliable data, understanding their impact and predicting the risks and benefits of change. Econometrics-based decisions can only increase business profitability and productivity.

What sets us apart? Profitable econometrics.

Profitable econometrics means analyzing data using advanced techniques and tools. More than just a trend, it’s based on a working method and on guidelines that guarantee results for our clients.

Our method

UXLogTM

Our UXLog™ method pinpoints every source of information for your business and its market, ensuring our full understanding of your reality. This methodology allows us to see what others don’t—and it yields significant results! So that’s what we mean by “profitable econometrics.”

When you want results, you have to take time to consider all sources of information, assess them individually and identify their impact on your business and its clients. That’s why we rigorously apply our UXLog™ method to successfully complete our projects.

The first phase of the UXlog™ method has four steps:

1.

Sizing up the context

We work to understand your business, and its history, environment, competitors, events and challenges.

2.

Collecting information

We find all available sources of data (like internal systems, websites, social media and relevant socioeconomic data), extracting information and formatting it for analysis.

3.

Analyzing the data

We generate statistics, create charts showing the progression of variables, understand their dynamics and corroborate the evolution of the data with your context.

4.

Validating quality

Since quality data is essential for designing a reliable model, after our analysis, we validate each source of information and assess its quality (frequency, accuracy, missing data, etc.).

The second phase of the UXlog™ method has four steps: 

1.

Presenting the data

We share our findings on the data, corroborating our discoveries and validating the trends we observe.

2.

Identifying areas of action

We break down your organization’s processes to identify areas of action in your overall operations.

3.

Identifying indicators

Based on the areas of action, we decide which indicators are needed to observe the desired change. We then determine how to measure improvements and influence those indicators.

4.

Developing strategies

We develop strategies with your management executives to influence your organization’s indicators

The third phase of the UXlog™ method has five steps:

1.

Automating analysis

We create a rapid-deployment prototype of the final solution.

2.

Deploying tools

We put the prototype into action in business units or target groups.

3.

Carrying out the strategies

We execute your strategies to influence indicators.

4.

Tracking results

We make sure that the prototype is running correctly and that the indicators provide useful and relevant information, according to the strategies being carried out.

5.

Adjusting the prototype

We make recommendations for any necessary adjustments, based on the results we observed.

The last phase has three steps:

1.

Deploying the infrastructure

We transform the prototype into a definitive solution and set up a permanent link to data sources.

2.

Training stakeholders

We make sure that stakeholders fully understand the implemented model and ensure its success.

3.

Sharing successes

We help you inform your stakeholders of the results.

Our team sees things

DIFFERENTLY

For each phase of our method, our team rigorously applies results-oriented principles.

Eric Gravel

Eric Gravel

Econometrician, Managing Partner

Erick Moyneur

Erick Moyneur

Econometrician, Managing Partner

Francis Vekeman

Francis Vekeman

Econometrician, Managing Partner

Eric Gravel

Econometrician, Managing Partner

An econometrics, economics and finance expert, Eric puts his analytical and econometric skills to good use in retail, credit risk management, litigation damage assessment, pharmacovigilance and pharmacoeconomics. Most recently, Eric helped develop statistical indicators and a weekly dashboard for a retail company. Eric and his team also made the most of his analytical and SAS programming skills developing several tools used by the Food and Drug Administration’s Mini-Sentinel distributed data network. In the last 10 years, Eric developed several credit risk assessment models for the credit portfolios of companies and individuals. He is the co-author of scientific articles on evaluating investments using real options analysis, pharmacovigilance, the evaluation of public projects and the discount rate. With a strong quantitative background, Eric holds a MSc in Finance and M.A. in Economics from Université Laval.

Erick Moyneur

Econometrician, Managing Partner

Erick supports many major firms and pharmaceutical companies in developing their products’ market characterization, buying process and value propositions. Recognizing his skill, organizations look to him to meet their immediate needs for data analytics. He also helps them with their cost-benefit, stress testing, event study and market share analysis needs. Erick has also been involved in signal detection analyses (hypothesis-generating and hypothesis-testing frameworks) using public, private and commercially available data sources and in distributed research networks (DRNs). He has used economic modeling, forecast models and discrete choice analyses to help resolve economic disputes. He has created, benchmarked, implemented and provided training on optimization algorithms. These have included user-friendly applications for high-tech and pharmaceutical firms and electric utility companies as strategy decision support tools for supply chain management issues. Erick holds a BSc in Mathematics and a M.A. in Economics with a specialization in econometrics and quantitative modeling. Erick is a passionate general aviation private pilot—he truly knows how to make your data fly!

Francis Vekeman

Econometrician, Managing Partner

Francis specializes in health economics, health policy, econometrics and antitrust matters. For the health care industry, he specializes in the application of biostatistics, epidemiology, and the economics of health outcomes research. He has supported academic affiliates and has conducted and directed a wide range of investigations, including epidemiological evaluations, safety studies, pharmacovigilance, disease prediction modeling, assessment of direct and indirect cost of illness, and resource utilization patterns in the areas of cancer, chronic kidney disease, hypertension, hematology, HIV, cardiovascular disease, pulmonary disease and mental illness, among others. Through these investigations, he has collected and utilized data from clinical trials, electronic medical records, health insurance claims data and population-based surveys. His scientific research on various health topics has been published in peer-reviewed medical, health economics and managed care journals.  It has also resulted in numerous presentations at national and international health care conferences as well as presentations to the Food and Drug Administration and the Centers for Medicare and Medicaid Services.

Francis has also contributed to the development of data driven decision-making models in various areas. Francis’s experience in antitrust matters includes quantifying the economic damages resulting from false advertising claims, and analyzing copyright infringement and unfair competition issues. Francis holds a B.A and a M.A. in Economics, with a specialization in Econometrics.

Valérie Carter

Valérie Carter

Econometrician

Nicolas Corneau-Tremblay

Nicolas Corneau-Tremblay

Econometrician

Katherine Dea

Katherine Dea

Econometrician

Valérie Carter

Econometrician

Valérie is a Montréal-based senior technical consultant with over ten years of experience in data management, statistical analysis, research, and report preparation for health economic consultations and several large litigation cases. She has conducted several kinds of analyses in SAS involving very different types of large databases. She has designed and programmed numerous complex SAS analyses on these data, managed data collection efforts for several large anti-tobacco, off-label drug use and online advertising litigation cases and supported data checking for the Mini-Sentinel network common data model. Valérie has also conducted budget impact analyses for pharmaceutical companies required to show payers and government agencies the increased benefits for pricing, reimbursement and optimal formulary placement. Valérie holds a B.A. in Economics and Political Science, and a M.A. in Economics.

Nicolas Corneau-Tremblay

Econometrician

Nicolas’ areas of specialization are policy evaluation, machine learning and credit risk management. His work has been published in methodological reports and scientific journals, such as International Gambling Studies and The American Journal of Tropical Medicine and Hygiene. He is also an enthusiastic trainer who has taught health economics and statistical methods for machine learning at Université Laval’s Economics Department. Nicolas holds an M.A. in Economics from Université Laval.

Katherine Dea

Econometrician

Katherine specializes in applying biostatistics and economics to health outcomes research. She has conducted a range of investigations into cost of illness, disease prevalence and incidence, clinical and economic outcomes, treatment patterns and outcomes of treatments in the areas of neurology, oncology, hematology, dermatology, gastroenterology, rheumatology, psychiatry and cardiovascular medicine. She has extensive experience in systematic literature reviews, retrospective analysis of administrative claims (commercial, Medicare, Medicaid, US Veteran Affairs, US Department of Defense) and electronic medical records databases, medical chart reviews, clinical trial data analyses, and patient and physician surveys. Her research has been published in numerous peer-reviewed journals and presented in various scientific conferences. Katherine holds a M.A. in Economics from Université de Sherbrooke.

Geneviève Gauthier

Geneviève Gauthier

Econometrician

Philippe Jacques

Philippe Jacques

Econometrician

Azrrik Hahn

Azrrik Hahn

Senior Software Engineer

Geneviève Gauthier

Econometrician

Geneviève is specialized in health economics and pharmacoeconomics, with specific areas of expertise in econometrics, credit risk modelling, biostatistics and epidemiology. Over the years, Geneviève has partnered with numerous experts in oncology, hematology and mental health, as well as in cardiovascular, pulmonary and auto-immune diseases. Drawing on diverse data sources, she has implemented and headed an array of research projects, including analyses of the direct and indirect costs of a disease or medication, trend analyses of medication use, and analyses of the economic burden of diseases and of evaluations of patients’ treatment-option preferences. Geneviève has also developed extensive expertise in developing survey questionnaires to collect data from patients and physicians. Her work has been published in many scientific journals, including JAMA Oncology, Cancer Biology & Therapy, Leukemia and Lymphoma, BMC Psychiatry, Journal of Gastrointestinal Cancer and International Journal of Cardiology. Geneviève holds a B.A. in Mathematical Economics and an M.A. in Economics.

Philippe Jacques

Econometrician

An economist specialized in econometrics and data analysis, Philippe has many years of experience doing consulting work. He excels at combining advanced statistical analyses with efficient database management and research report production. In particular, he has worked on a number of projects in health economics, in the course of which he analyzed US insurance claims databases (Medicare, Medicaid, private insurers, etc.). More recently, he has taken an interest in value creation through the integration of business intelligence and data. Philippe has a B.A. and an M.A., both in Economics.

Azrrik Hahn

Senior Software Engineer

A seasoned software developer, Azrrik has created, enhanced and maintained numerous complex web applications, from a procurement website used by the US government to a social gaming platform used daily by over 20K active gamers. He has extensive experience developing dynamic web applications and scalable back-end services. Azrrik is comfortable coding in a plethora of languages, including Java, Scala, PHP, JavaScript, HTML, CSS and SQL. Recently, he has become interested in big data processing with Hadoop and Spark running on cloud technology. Azrrik holds a B.Sc. in Mathematics, with a minor in Computer Science.

Dave Martin

Dave Martin

Data scientist

Marie-Noëlle Robitaille

Marie-Noëlle Robitaille

Econometrician

Dave Martin

Data scientist

Dave has solid experience in software development and IT system management. He specializes in data processing, from collection to final distribution, and has worked with administrative, manufacturing and pharmaceutical relational databases in many environments and systems. He also has extensive experience in program design and implementation. Since joining StatLog, Dave has enjoyed acquiring new skills to develop SAS programs and reporting tools for different studies requested by the Food and Drug Administration. He is also involved in the program reviewing and quality assessment process for external software development. Dave has expertise in performance indicator development for retailers. He has also been in charge of system management as well as program development, support and maintenance in a manufacturing environment. Dave holds a B.Sc. in Mathematics and a certificate in Computer Engineering. He has what it takes to face and overcome any challenge: He is a karate black belt and passionate instructor!

Marie-Noëlle Robitaille

Econometrician

Marie-Noëlle is specialized in applying complex statistical and econonometric models to the areas of labour economics, health economics and macroeconomics. Her work in labour economics has led her to use a wide range of models to simulate work behaviours and assess pay equity. Her studies in health economics have been published in peer-reviewed scientific journals, such as Current Medical Research and Opinion, Journal of Managed Care & Specialty Pharmacy and Journal of Allergy and Clinical Immunology. Marie-Noëlle also has in-depth knowledge of the use of time series, having used them to develop output gap models and unemployment rate gap models. She has presented her work in macroeconomics at central bank conferences around the world, and published it in the scientific journal Economic Modelling. Marie-Noëlle earned a B.A. in Mathematical Economics and an M.A. in Economics from Université Laval.