Exacaster is a big data predictive analytics technology company developing advanced machine-learning algorithms and tools that address sales and marketing challenges including churn or usage prediction, product recommendations, segmentation and real time dynamic pricing. The Exacaster Platform, the company's flagship product, helps telecomand retail marketers visualize data, predict customer behavior with propensity models, execute model-driven or event-triggered multi-channel campaigns and measure their impact. Exacaster BigMatrix is a software product that makes data mining on Hadoop more efficient by taking care of definition, extraction and automated updating of feature vectors used for large scale predictive analytics. It easily prepares matrices that have tens of thousands of features for millions of objects.As of January 2014, the Exacaster platform has been deployed by telecom and retail clients in nine countries on three continents and is used to crunches behavioral data on more than 10 million consumers daily.

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Exacaster

Exacaster's headquarters in Vilnius, Lithuania

This department focuses on integrating development and operations to enhance collaboration and productivity in software delivery.

DevOps Operations

The Data Analysis and Engineering team at Exacaster focuses on transforming vast amounts of behavioral data into actionable insights. Their work encompasses building and maintaining robust data pipelines, developing advanced analytical models, and integrating machine learning algorithms to enhance predictive capabilities. By collaborating closely with other teams, they enable the visualization and measurement of marketing campaigns, ensuring that clients can effectively address sales challenges and optimize customer engagement strategies.

Data Analysis and Engineering

This department focuses on analyzing data to provide insights and support decision-making processes.

Analytics Department

This department focuses on the design and implementation of data processing systems and infrastructure to support big data initiatives.

Data Engineering

This department focuses on nurturing and guiding leadership skills within the organization.

Leadership Development

This department develops and implements AI technologies to enhance products and services.

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Data Analysis and Engineering

Analytics Department

Data Engineering

Leadership Development

Artificial Intelligence Engineering