Periscope Data Launches Platform that Targets Professional Data Teams

Periscope Data unveiled a new platform that meets the unique needs of professional data teams, allowing them to address the complete analytics life cycle.

“We believe that data teams are driving the future of the business. These data professionals are sort of our superheroes,” said Harry Glaser, co-founder and CEO, Periscope Data. “The way these businesses become differentiated from each other and from their competitors is to empower their data teams to do this great work and let the data teams guide them on the decision making they are making within these enterprises and externally.”

Periscope’s Unified Data Platform enables teams to ingest, store, analyze, visualize and report on data.

With Periscope’s Unified Data Platform, businesses can create a data-driven culture by combining a single source of truth — a data warehouse — with deep analytics capabilities, empowering data teams to collaborate and be more productive and efficient.

Periscope’s platform is designed to overcome the high costs of incomplete, out of date and potentially inaccurate data, which costs a typical business nearly $10 million per year1 — creating a $3.1 trillion annual drag on the U.S. economy.

 The platform also addresses the large and growing market for big data and analytics software, predicted to be worth $60 billion globally by 2020, according to IDC3.

Periscope’s new Unified Data Platform extends the core product with built-in data warehousing capabilities based on Amazon Redshift, as well as new capabilities to ingest data from any source.

The Unified Data Platform is comprised of the core components including ingestion from virtually any source, storage through a data warehouse, analysis in seconds, visualizations from data charts instantly, and reporting.

Periscope’s goal for the future is offering more depth and breadth to the solution in the form of different kinds of storage systems and new types of visualizations and analysis, along with new security upgrades and compliances, according to Glaser.

“More types of data science and prediction modeling will be done to the product, including support for R and Python, more sophisticated workflows for sharing the data and doing sophisticated analysis,” Glaser said.

For more information about this new platform, visit