eDNA OTA and Meta Analysis for EasyJet

Case Study

eDNA is a website data security specialist, they use machine learning to identify web scrapers and bots for large enterprises, blocking unwanted access and securing their corporate data to ensure it is only used as the companies intend.

The Brief: Create multiple reporting dashboards to be used by eDNA’s large aviation industry clients.

Requirements: 

  • Design a data model with a number of calculated variables

  • Design and develop analytics dashboards with linking to external images

  • Host and manage data for the app

Our Solution

Services

Data management, Data pipelines, Analytics design, Analytics development

We started by reviewing the current database and the schema, creating some additional variables where needed. From there we connected the data to our business intelligence platform and created a data model, including references to a large number of images we have stored on the cloud. After modelling the data we created additional metrics for use in the reporting dashboards.

Next, we designed and built the reports with parameter variables so data sources and calculations could be easily changed depending on which airline the client needed to analyse.

From here we published the analysis to our platform and created a white-label interface where eDNA’s client could access their reports.


About the Client

eDNA

eDNA is a website data security specialist, they use machine learning to identify web scrapers and bots for large enterprises, blocking unwanted access and securing their corporate data to ensure it is only used as the companies intend.


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