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Statlog - Econometrics
What is econometrics?
Econometrics at STATLOG consists in combining data science with economics and its own statistical tools to predict, measure, explain and improve decision-making to create value.
Econometrics is nothing new.
Although its name is mostly associated to academia, econometrics has been used in countless industries and sectors for decades. It is often applied behind the scenes. It solves problems by using data and statistical tools to measure and explain economic phenomena. Now, as data are more accessible and abundant than ever before, organizations are realizing the importance of making the most of this precious resource.
Data science rose out of a need for new tools to structure and analyze the massive quantities of data that organizations are now generating.
However, organizing and assessing data to make predictions is just a first step; predictions must still be applied properly to answer relevant questions to improve decision-making and create value.
We apply econometrics
to today’s problems.
By combining econometrics with the tools of data science, in particular machine learning and artificial intelligence (AI), we expand its possibilities to address today’s problems. This allows our clients to extract the full value of their data and act with greater assurance.
Our work draws on decades of experience analyzing data and guiding decision-making.
Despite the variety of industries and sectors we serve, our goal is always the same: combining the right tools and insights to guide our clients’ decision-making and to unleash the power of the data that really matters for their organizations.
Econometrics at STATLOG
Combining econometrics and data science enables us to build a comprehensive model for a business, a market, or an industry, where the interaction of all variables can be understood. Unleashing the power of data that matters fuels strategy development and business planning to predict and manage the future.