Today, Chartio announced Data Stores, a more agile way to transform and store data for business intelligence.
“Data Stores are a key element of Chartio’s vision of agile business intelligence,” said Chartio CEO Dave Fowler. “Data Stores make BI more agile by simplifying storage, security, and usability.”
Data stores enable administrators to use Chartio’s Data Pipeline to rapidly transform data and store it in the cloud – making it more useful and accessible for end users.
Traditional BI tools require costly and time-consuming ETL (Extract, Transform, and Load) and data warehousing processes. This turns BI implementations into elaborate waterfall processes demanding months of requirements planning, dedicated hardware, additional software, and costly consulting.
Chartio has always made it possible to skip ETL and data warehousing, with its extensive modeling layer and direct connections to live data. Now, Data Stores simplify ETL itself, using Chartio’s Data Pipeline UI to rapidly layer in summary or rollup tables as needs evolve.
Data Stores allow organizations to change the structure of their data inside Chartio without changes to their operational data. Data Stores eliminate the data warehouse in many situations, by greatly reducing the amount of storage needed and the processing time required to transform data.
“Our vision is to make business intelligence as universal as the common spreadsheet,” said Fowler. “To make that possible, BI has to be a lot more agile. Chartio’s customers can implement business intelligence without months of planning and improve their systems continuously. This lowers the risk of unanticipated expenses.”
Chartio’s agile implementation process eliminates the need for waterfall business intelligence implementations that require upfront data warehousing, separate ETL processes, advance planning, and consulting services. Chartio customers can connect and begin analyzing their data within minutes, layering in cloud storage and data warehousing as their needs change.
