Spotlight is a semantic layer that gives analysts the ability to search for, access, and explore any data regardless of location — whether in the cloud, on-premises, in data warehouses, data lakes, or even applications (see our 200+ data sources) — when they need it. It lets analytic teams collaborate and share data knowledge. All this in a single unified self-service platform that lets teams quickly iterate through analytic cycles for faster, highly trusted analytics without complex data movement.
Your business intelligence or data science tool can now reach beyond your EDW and query the entire enterprise data landscape. Discover and access any data—on-premise, in the cloud, in data warehouses, data lakes, file systems, or applications — blend and create your own virtual data sets with a click of the mouse.
Put the power of data integration and integrity into the hands of the business. Users can self-serve and create the data sets they need in minutes vs. the weeks or months required with a traditional data warehouse/ETL approach. There’s no data engineering involvement needed, pipeline script to write, or ETL job to schedule.
Flip the 80-20 rule to 1% searching and prepping and 99% analyzing. Just type the name of the data or information asset you’re looking for, and our intelligent search will surface any relevant virtualized data source, data set, table, row, or column in seconds. Don’t reinvent the wheel. Save time by reusing the data sets that have been vetted by a coworker.
Analytics teams can now govern their processes. They can curate data sets, enrich the data dictionary, define the metadata, build a business glossary, tag, comment, and classify data assets.
Data and business teams can collaborate in a wiki-style fashion to manage the quality, trust, description, and usability of data sets. Every created virtualized data asset comes with data profiling and visual data lineage to let users understand how the data set was built and trust the process.
Deliver data and insights faster and at a fraction of the costs of the traditional data warehouse approach: no need for ETL tools, a central data warehouse, data marts, data cataloging, data prep tools, data engineering, or middle man between the data and the end-user.
Search and find any data and virtually access it without duplicating it. Work with any data type – databases, data warehouses, data lakes, applications, documents -from any location – on-premises, cloud, or SaaS applications.
Build understanding and trust through collaboration and AI-assisted knowledge about your data. Bring together your analysts and data scientists to share, reuse, and collaborate.
Combine datasets from disparate systems. Use more data in your analytics to generate more accurate and actionable insights.
Access your data from one location using any of your favorite BI and data science tools. Eliminate the reliance on IT.
Use Spotlight to deliver real ROI to your analytics initiatives and team. Spotlight will immediately allow your analytics teams to gain efficiencies and double or triple their output. Faster and additional analytics will let the business be more responsive to drive more revenue and achieve cost efficiencies.