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Beontra

Integrated Airport Data Delivers Powerful Insights

Beontra

INDUSTRY

SOLUTIONS

Big Data Integration and Analytics

SOFTWARE

Challenge

Challenge:

Beontra and Chroma Airport Suite's integrated data support big data and web services, and provide reporting and flexible multitenant capabilities.

Solution

Solution:

Pentaho Data Integration captures and integrates data types, and Pentaho Business Analytics is embedded in the Beontra Scenario Planning platform.

Outcomes

  • Gives customers data-driven insights and a 360-degree view of passengers.
  • Allows custom dashboards, third-party visualizations, self-service reporting.
  • Enables visualization of real-time traffic to forecast data and revenues.
  • Blends data from Beontra, Chroma, external sources in a user-friendly interface.

Beontra provides integrated planning tools for the aviation sector and was acquired by Lockheed Martin in 2014.

The Challenge: Integrate and Manage Data From Two Software Suites

Beontra provides integrated planning and demand forecasting tools for the aviation sector. Beontra needed to integrate data from its own forecasting and planning suite with Lockheed Martin’s Chroma airport operating system. This would give Beontra’s airport clients better, more powerful reporting and dashboarding across all product lines. Today, both Beontra and Chroma are part of Leidos and the integration is a massive differentiator in the market.

The solution needed to support a variety of data types, including big data and web services data, and feed these into the HP Vertica analytics database. The solution also required reporting that was easy to embed into existing forecasting and planning module workflows. Nontechnical business analysts, retailers, financial managers and various other stakeholders expected an easy-to-use user interface. Beontra's developers needed to be able to easily modify the code to meet specific needs. With 80% of Beontra’s customers running in the cloud, flexible multitenant capabilities were essential.

Pentaho Data Integration allows us to manage and blend data generated by our two main operational and planning software suites to give our airport customers a 360-degree passenger view.

– Bert Dijk, Product Manager, Beontra - A Leidos Company

The Solution: Pentaho Data Integration and Pentaho Business Analytics

Pentaho Data Integration (PDI) captures, integrates and blends the various data types generated by airports systems including real-time passenger data and massive amounts of various passenger-tracking sensor data (Wi-Fi, beacons, cameras), preparing it for ingestion into the Oracle Enterprise Data Warehouse and analysis by HP Vertica.

Pentaho Business Analytics is embedded within the Beontra Scenario Planning platform. This is branded as "B Analytics" and enables airport users to gain insights into blended data sets and a 360-degree view of the passengers. The solution also included custom dashboards developed in-house with extensions of the Pentaho products. Pentaho professional services provided prototyping, an architecture workshop, multitenancy setup and training.

The Outcome: Provides Airports With a 360-Degree View of Passengers

Pentaho Business Analytics offers a flexible, scalable business intelligence and reporting solution that gives airport customers a 360-degree view of their passengers that draws on blended Beontra, Leidos Chroma and external data sources. Custom dashboards along with third-party visualizations offer customers very user-friendly interfaces and self-service reporting. Beontra has been able to customize the code for their specific needs.

The first airport customers are using "B Analytics" to visualize the data from Beontra's B Operational module (real-time traffic forecasting) and its B Non-Aviation planning module (relates passenger traffic numbers to retail revenues and spending patterns). In the future, Beontra plans a data lake approach where Hadoop will underpin HP Vertica, and Pentaho will provide data integration on the back end. This will become necessary when Beontra further continues the integration with sensor and measurement data.

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