NetDirector® BI

Unmatched insight.

Big data made impactful

Based around our class leading V10 technology, the NetDirector® platform has been built with an intelligent data infrastructure at its core. Every module and feature have built in analytics to provide consistent and unique data sets whilst remaining compliant with GDPR and global data protection standards.

With over 4 billion interactions recorded in over 50 countries, NetDirector® BI is used by leading manufactures, agencies and consultancies to formulate insight and operational recommendations assisting the automotive sector in transitioning to Mobility solutions.

To make your data lake work we combine this with Amazon Lambda so you can take care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app. On top of this Amazon EMR securely and reliably handles a broad set of big data use cases, including log analysis, web indexing, data transformations (ETL), machine learning, financial analysis, scientific simulation, and bioinformatics.

To keep this process working efficiently Amazon Kinesis makes it easy to collect, process, and analyse real-time, streaming data so you can get timely insights and react quickly to new information.

Amazon Kinesis, Lambda and EMR

With over 4 billion interactions recorded in over 50 countries, NetDirector® BI is used by leading manufacturers


Understanding consumer engagement

The car buying process is a complex and multi-faceted journey and the data needs be structured to handle this. NetDirector® BI looks beyond traditional models of first click/last click wins analytics models and instead focuses on consumer behaviour in and their interactions over extended periods.

Geo-mapping allows us to understand where in market not only what users are interacting with, but demand information for makes/models, valuation data exploring what vehicles are coming into the market and the physical stock within that region. Planning new retail locations, proving the effectiveness of these locations or success of regional marketing can easily be established and trended over time.
Big data needs to enable and refine operational strategy. By using contextual overlays of marketing activity, seasonal variations and major events allows decision making to be pro-active and based on trends across all digital platforms.

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