" We are able to get a comprehensive picture of our new releases. We were able to setup several views for each team to optimize their workflow. I was especially impressed by the speed with which we can iterate and update the dashboards to add new reports.
And all this was done in just a week after we started our engagement. "
" Our original plan was to build everything in the house and required us to build the data warehouse, ETL, application layer and visualization layer by plugging together several open source components. Instead, a single solution was able to give us the APIs and Visualizations we needed to deliver advanced functionality to our customers.
The whole process was quick and painless. "
" While we had a great data science team building a good fraud detection service, we suddenly saw a spike in fraud and needed something to understand where it was coming from the Journey feature is the most powerful concept in Analytics and BI I have seen in a while. It allows rapid creation of complex scenarios. Combined with the ability to apply them on top of raw data allowed our team to very quickly iterate on and understand the patterns in the data We were also able to leverage this to improve our models significantly.
It's a critical part of fraud monitoring infrastructure now. "
" Creating new cohorts and targeting traits is extremely simple. Especially for complex behaviors, no other tool comes close to the ease and power of the Lore IO platform."
Lore IO's Virtual Data Layer is a business- accessible data fabric for the entire enterprise data. It maintains declarative data transformations that are executed virtually at query time and are abstracted from the application layer.
Lore IO uses the popular and stack-independent SQL/JDBC to sync data with a wide variety of tools and technologies.
Lore IO's Enterprise Taxonomy Management tools help ensure that your metadata is accurately catalogued and easily accessible. Operating on declarative data definitions, the management tools simplify metadata standardization, entity relationship management, and governing different data repositories and logic.
Lore IO's Declarative Data Transformations are handled as virtual configurations. Instead of creating data copies, our system compiles all the ETL and transforms it at query time, running it on raw data in the lake, without replications or moves. Lore IO's Schema Editor and Modeling Language are comprehensive tools to define constructs such as metrics, cohorts, dimensions, aggregate functions, actions, and more. These constructs are reusable SQL fragments that can be combined at query time to generate complex SQL that executes directly on raw data in the Data Lake. These tools are uniquely tuned for Enhanced for behavioral and time-series data transformations.
Lore IO's Automated Feature Discovery examines data segments for hidden patterns and drivers. It highlights findings so that you can intuitively add them to your data model.
Lore IO's Common Translation Engine helps synchronize virtual views to Cassandra, Elasticsearch, and other similar stores on which your applications can issue high-volume queries.
Use Lore IO's SQL/API/JDBC to access new cross-source prepared data, with no pipelines running.
Lore IO's Entity Journey tool enables you to create and publish 360-degree view of customers, content, properties, and other entities.
Lore IO offers a set of built-in services that automates data analysis and proactively identifies important data relationships. The result is smarter dashboards, built with less work.
Lore IO offers a comprehensive set of tools and technologies to ensure the security of your data.
Learn more about security at Lore IO