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Looker Simplifies Construction of Data Analytics Platforms


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Business intelligence provider Looker is releasing a series of Looker Blocks for Google BigQuery  that are intended to make it easy to build an organization-wide data analytics platform.

“What Looker is all about is creating a new experience for business users in these new database worlds,” said Frank Bien, Looker CEO. “Looker empowers the data team to curate a new kind of experience on these new data infrastructures and then allows the business people to explore that data and discover on a much larger scale across an organization so they can make better decisions.”

According to the vendor, Looker Blocks make it quick and easy to transform massive amounts of data, helping users build a governed platform where all data can be accessed in meaningful, efficient ways by everyone in the enterprise.“We’ve helped some of the most data forward companies in the world build data culture in their companies where people are using data day to day to make better decisions,” Bien said.

BigQuery is compatible with many of the existing Looker Blocks that launched in September and now, Looker is extending a few specific Looker Blocks and additional features to connect with the Google Cloud including the BigQuery Table Date Range Analytics Looker Block, which capitalizes on BigQuery's unique approach to data partitioning and allows Looker to optimize query performance and making it easy for end users to understand event data over time.

Additionally included in the update is a new Query Size Estimator. This feature allows data analysts to determine the size of a query before it is run from directly within Looker’s data platform, giving data analysts’ greater insight for database management. Along with the Table Date Range Analytics block, the Google Analytics Premium Looker Block will sessionize events at the individual user level and comes pre-built with a full suite of web analytics metrics such as funnels, bounce rates, and attribution analysis.

Marketing operations, sales, product managers, and business users working with data will benefit from this update, according to Bein.  “It allows them to look beyond their own small world of data and look across the organization at what’s happening,” Beign said. “It leverages the data team to help the business in a more efficient way.”

 Several additional BigQuery-specific Looker Blocks are planned for release over the next few months.

For more information about Looker and the new Looker Blocks, visit www.Looker.com.  


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