Big Data Analytics that Provide Inputs to Policy Processes

Official indicators of economic activity do not provide timely information on economic activity. Although survey data that companies can access provide users with more timely information compared to official statistics, they are insufficient to provide early signals about developments/trends. In big data analysis, leading indicators are derived by using high-frequency data, thus making it possible to receive early signals about economic activity and trends.

In this context, as SAHA Analytics, we carry out analyzes that provide a reliable interpretation of monetary policy processes with our experienced team who have carried out pioneering studies in this field.

Some of our analyzes are:

• Deriving Industrial Production Index Leading Indicator Using Machine Learning Algorithms on General Directorate of Highways Traffic Sensor Data,
• Creating Bank Loan Demand Indicator Using Google Trends Data

Revealing the Network Relationship between Firms by using the Declaration Data of the Revenue Administration.