Datameer 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. Lastly, 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. Finally, users can self-serve and create the data sets they need in minutes instead of the weeks or months required with a traditional data warehouse/ETL approach. Instead, no data engineering involvement needed, or pipeline script to write, or ETL job to schedule.
Flip the 80-20 rule to 1% searching and prepping in order to make 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. Because why reinvent the wheel? Save time by reusing the data sets that have been vetted by a coworker.
Analytics teams can now govern their processes. Therefore 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. Thus no need for ETL tools, a central data warehouse, data marts, data cataloging, data prep tools, data engineering, or the 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 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’s agile, iterative approach to discover, explore, model, and consume data for faster insights all the time. Let Spotlight eliminate your team’s dependency on IT for data, therefore speeding up your analytics cycles, and getting answers as you need them.
Dramatically increase your analytics team’s efficiency and over-deliver to the business. All the while making your analytics practitioners happy, engaged, and indispensable.
Bridge your data silos, increase your analytics stack’s efficiency, leverage the cloud, and maximize the return from your BI investments.
Deliver true self-service to the analytics community and spend less time on mundane one-off data requests and get to more strategic projects.
Get business questions answered faster and make every decision data-driven for greater business agility and confident actions.
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. Above all, faster and additional analytics will let the business be more responsive to drive more revenue and achieve cost efficiencies.