The sales forecasting model uses Machine Learning methods to accurately estimate valuable information for operations planning and optimization. Learning algorithms allow you to capture the relationship between different external factors and sales variables and estimate the evolution of demand. Social Data Lab combines sales history with other relevant information such as Google Trends, surveys, weather conditions, demographic changes, etc.. The models make it possible to predict both sales to distributors or final consumers.

More details here.

EyeData^® is a statistical data analysis tool, with a strong visual component, created by Social Data Lab for the national news agency LUSA. It contains information for 3 different geographies: Portugal and its municipalities, Portugal in the EU and Portugal in the world.

This tool, free of charge, allows, in a simple, intuitive and visually appealing way, to grasp reality in a related way, that is, combining several indicators at the same time.

More details about EyeData^® here.

The SLI2 – Social data Lab Impact Index^® is a measurement tool that estimates the Social Impact of organizations – companies or non-profit entities – on their beneficiaries. This index is exhaustive (in its multiple dimensions), quantitative and comparable, both over time and between organizations.

More details about the SLI2 – Social data Lab Impact Index^® here.

Social Inter-Impact is a new concept, created by Social Data Lab. It means mutual benefit, i.e., reciprocal impact between organizations and their stakeholders.

The objective is to estimate the economic return received by organizations, as the result of the Social Impact they have created among their stakeholders.

More details on Inter-Impact here.

The Statistical Literacy Index measures how an individual understands the world around him from the information that comes to him through statistical data.

It was created by Social Data Lab and presented for the first time and in a pioneering way, at the Conference of European Statistics Stakeholders, in Budapest (2016).

More details on the Statistical Literacy Index here.

Election forecasts based on exit-polls were initiated in Portugal by one of Social Data Lab’s partners, in 1987. And he has been doing them ever since, in cooperation with several market research companies. In the last 25 years, 11 predictions have been made for General and European elections, and the average error obtained per party was 0.54%.

More details on these exit-polls here.