Data scientists are spending a whopping 80 per cent of their time on data preparation, according to the Data Science Institute. BI software vendor Yellowfin hopes to slash this time with the launch of an industry-first integrated and virtualised Data Preparation Module for analytics.
The new module, which is fully integrated into the metadata layer of Yellowfin’s BI platform, will allow organisations to easily model, profile, clean, shape, enrich, secure and publish all data desired for reporting and analytics in a single BI environment.
Yellowfin co-founder and CEO, Glen Rabie, said the new module uniquely addresses the cost, complexity, security and inefficiency issues encountered by typical approaches to data preparation.
“Yellowfin’s Data Preparation Module truly supports the needs of data analysts, enterprise IT and business users,” said Rabie. “Data analysts can independently prepare data for analysis in less time, IT can easily govern that data, and business users have fast access to data they can trust in order to make critical business decisions.”
The module, which will be included as part of a standard Yellowfin license at no additional cost, overcomes data preparation challenges by integrating processes directly into a single analytics environment, by offering comprehensive data profiling capabilities, and providing automated best practice metadata modelling functionality.
Rather than having to migrate data from one environment to another, which Rabie said increases risks around data governance and security, having a virtualised approach means that data analysts can directly connect to, prepare and analyse data sources in one place.
“Delivering virtualised data preparation will empower Yellowfin’s clients to maintain unparalleled governance, consistency and security across of all data and analytics content. Any data preparation actions performed will be uniformly reflected across all content – from reports and charts, to dashboards and Storyboards,” Rabie said.
Yellowfin product marketing manager Ivan Seow said that the module also helps organisations to avoid the cost and complexity associated with a multi-tool approach.
“Typical data preparation and analytics practices, conducted in separate software applications, introduce unnecessary data provisioning bottlenecks,” said Seow. “Then there’s the expense of learning and maintaining two products – not to mention the propensity for standalone ‘self-service’ data preparation tools to create untrustworthy and insecure islands of disparate data.”
Yellowfin’s data profiling functionality visually displays the number and distribution of data profiled, providing statistics on the values within each column, which enables data analysts to quickly assess the shape and quality of their data, reducing the time taken to deliver new data for analysis to the business.
The Data Preparation Module has been launched alongside the latest version of the company’s BI platform, Yellowfin 7.3, which also includes advanced data visualisation capabilities, such as the introduction of Set Analysis and a new Content Creation Canvas.
“The overhauled Content Creation Canvas provides the power and freedom to quickly create beautiful, purpose-built visualisations and analytical infographics via an intuitive drag-and-drop interface,” said Seow.