Ever wondered how Amazon knows exactly what you want before you buy it? Or how Netflix throws up the perfect recommendation for a series to watch on the weekend?
The secret sauce is building a dynamic, real-time, and accurate view of the customer by harnessing the historical data and the data in motion.
Market leading brands are capturing structured and unstructured customer data in real-time, correlating different datasets, and applying sophisticated models and algorithms to build a dynamic, real-time, and accurate view of the customer.
This, in turn helps deliver hyper-personalized recommendations and win customers’ moments of truth before they consider a competing alternative.
But not many organizations have been successful in doing that – the greatest challenge comes down to successfully integrating and engineering data at speed and scale.
Modern data pipelining solutions can help accelerate and simplify the journey by doing the heavy-lifting. They can help collect, transform, and analyze petabytes of data in real-time, allowing you to focus on insights and actions, rather than data engineering processes.
> Winning customer’s moment of truth – why it matters more than ever before
> Building a dynamic, real-time customer 360 – and decoding the components for that
> Using modern data pipelines to eliminate silos and build a robust foundation for next-gen analytics
> A deep dive with real-world examples and demo
Built ground-up for a cloud-first world, Gathr is the only platform to handle all your data integration and engineering needs - ETL, ELT, Reverse ETL, Ingestion, CDC, streaming analytics, data preparation, machine learning, advanced analytics and more. With Gathr, anyone can build, deploy and manage end-to-end 'data-to-action' pipelines in minutes, irrespective of skill levels.…