News: Beabloo will be using Hortonworks to serve customers such as Sainsbury’s, Shell and L’Oreal.
Hortonworks is expanding its European customer base with the addition of Beabloo.
The global omnichannel digital marketing company will be using the Hortonworks Data Platform to process and analyse large amounts of unstructured data in order to help its merchant customers to increase revenues.
Beabloo uses analytics tools, physical sensors and digital marketing in order to help retail merchants to understand consumer behaviour and to configure their points of sale. This then helps to hopefully maximise ROI and improve the shopping experience.
To understand the scale of the customer, Beabloo’s solution is implemented by the likes of Sainsbury’s, Shell, L’Oreal and Mango.
The reason for adopting the Hortonworks Data Platform is because Beabloo needs to analyse increasingly large volumes of data and requires a data platform that enables them to be able to scale quickly.
Chris Harrington, chief architect of infrastructure, Beabloo said: "Understanding real-world customer behaviour has become the recipe for success, and to do this effectively, you need data."
"As our business grew, we knew we needed a scalable open data platform to analyse offline raw data at scale to enable our customers to take the advantage of analytics tools and techniques previously only available to online businesses."
The company is using HDP to support data collection, process raw sensor data and analyse outputs from the data warehouse.
Intelligence from the data is displayed through dashboards with heat maps, detailed zone analysis and personalised KPIs.
Hortonworks is one of the major players in the Hadoop space and has created a fully open source Apache Hadoop data platform.
The HDP is designed to integrate with existing IT investments so that enterprises can build and deploy Hadoop-based applications.
The company has recently announced that it has filed for a secondary IPO which it is hoping to raise $100m from the sale of common stock shares.