Switchboard is a data engineering automation platform designed for revenue operations and marketing teams that use data to drive timely business decisions. With Switchboard, these teams can unify large volumes of data from disparate sources to gain speedy insights and run data operations independently without the need to burden their technical experts.
New capabilities with data for sharper business insights
“Today, Meredith can extract unique revenue insights from over 40 brands and 20 partners, without burdening our BI team. Switchboard enables our analysts to aggregate, normalize, and apply complex business logic to hundreds of disparate data sources at once.”
Rich Zeroth, VP Programmatic Monetization, Meredith Corporation
Bringing you the Switchboard difference
Transforming any type of data to turnkey
A vast ecosystem of pre-built connectors that can be easily and speedily customized to transform a chaotic data system to a turnkey one.
A data automation engine that's built to scale
A data automation platform with proven authoring and workflow process to drive scale with terabytes of data. It easily embeds business logic to make it agile and iterative - much like DevOps.
Domain knowledge in data modeling
A team of experts who have worked in data teams at Google and Facebook are applying those best practices across a range of customers to solve data problems.
A dedicated customer success team
A high-touch approach with a 'fractional engineering' team that has expert-level knowledge in data management analysis and guides and trains customers on how to use this data.
Real ROI, not just fancy shelf-ware
Faster time to market with better insights and forecasting. Reduced dependency on manual reports and pivot tables that are error-prone and don't scale.
Faster time to market with speedy insights
Economies of scale and uptime with data
Increased economies of scale and business continuity with up-to-date monitoring and triaging. It avoids API outages, bad schemas, and missing data problems.
Reduced OpEx and improved data engineering productivity
Configuring the platform to pull the data together in the right formats. Frees up the dependency on the engineering teams.