NEO ANALYTICS PARTNERS WITH DATABRICKS

Neo Analytics has announced a partnership with Databricks, the leader in unified analytics founded by the original creators of Apache Spark, to bring Azure Databricks to its bank customers, delivering better data Analytics, ML and data integration.

Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform optimised for Azure. It enables customers to accelerate innovation with one-click set up, streamlined workflows and an interactive workspace for collaboration between data scientists, data engineers, and business analysts.

Rick Rofe, principal – BI and Data Insights at Neo Analytics, said, “Databricks has been hugely helpful in growing our Pliant platform which now supports core banking migrations, ADI regulatory compliance monitoring and operational reporting. We are continuing to replace manual processes for our customers, outperforming traditional methods by a factor of 20 to 1. From the company’s beginning, Neo Analytics could see the potential of Databricks as an integral building block in developing modern data architectures”.

“Our solutions greatly simplify big data analytics and artificial intelligence workloads. They replace fragmented compute and data pathologies that traditional technologies struggle with. We are excited by the possibility that machine learning and other AI technologies lend themselves so well to this sector and offer virtually limitless opportunities. For our customers, this means increased capability with decreasing cost.”

As part of our commitment to the Databricks platform the Neo Analytics team is currently working towards their core certification to ensure they are best positioned to deliver quality outcomes to their customer base. No matter what public cloud provider the customer works with, we are able to provision, configure and deploy our products.

Our Pliant solutions are already in place with Neo Analytics customers including Queensland Country Bank, where the new analytics and ML models are providing greater visibility over Regulatory Compliance commitments, Retail Banking, and Credit Management.

Rick Rofe said, “Our product integration with Databricks enables Pliant to quickly source, aggregate and analyse large volumes of data and bridge the gap between compute-intensive risk management workloads, regulatory reporting and advanced analytics use cases. Based on open standards and open source technologies, this architecture is built for that exact purpose, ensuring both reliability and timeliness of structured and unstructured data while combining both AI and SQL capabilities within the same platform.”