Xenonstack

Big Data Management, Data Architecture

InfoSum | October 28, 2022

InfoSum, the world’s leading data collaboration platform, today announced an agreement with Experian, the world’s leading global information services company. The initiative enables brands, partners, and media owners to leverage Experian’s identity graph to match their first-party datasets within InfoSum’s Secure Data Clean Room technology to enrich identity profiles and amplify match rates. The collaborative effort builds on InfoSum’s long-standing integration with...

Big Data Management

9Rooftops | October 08, 2021

Today, 9Rooftops, a leading integrated marketing agency, announced the launch of their new data-driven marketing division, Trajectory, which uses data science and machine learning to bring the most advanced analytical methods to common marketing issues. As marketers continue to shift strategies in response to privacy protections, business intelligence is transforming, and they need to understand why and what levers can be pulled in response to these changes. Trajectory helps clients unlock the t...

Big Data Management

PR Newswire | October 26, 2023

Databricks, the Data and AI company, today announced it has agreed to acquire Arcion, a Databricks Ventures portfolio company that helps enterprises quickly and reliably replicate data across on-prem, cloud databases and data platforms. This will enable Databricks to provide native solutions to ingest data from various databases and SaaS applications into the Databricks Lakehouse Platform. The ...

Business Intelligence, Big Data Management

BPM | October 10, 2022

BPM LLP, one of the 40 largest public accounting and advisory firms in the country, announces the formal launch of its Data Analytics service, headed by Partner Sven P. Jost. The Data Analytics team provides clients with reliable insights, enabling them to make data-driven decisions to propel growth, manage risks and improve overall business performance. “In our modern world, data is everywhere, and sorting good data from bad is crucial, but often daunting, for investors, bo...