LeapAnalysis dramatically cut time to do research, improved data availability and quality, and drove results automatically to dashboards and user interfaces that were already familiar, requiring no additional training for end users. Because the data stayed in place and was integrated virtually using only LA Data Connectors,this project was completed in 3 months because there was no need to build any expensive ETL (extract, transfer, load) pipelines, no time-consuming migration to the data lake, no indexing steps were required to organize queries, and no elaborate dashboards and UIs needed to be created.
LeapAnalysis provides a highly performant, enterprise scalable technology where complex queries and analytics can be run directly on disparate data sources without the need for lengthy and expensive data pipelining. With LeapAnalysis, “data stays separated and answers come together” because no data is ever copied, migrated or transformed, meaning you have direct access to your original data. LA also reduces risk inside of organizations pertaining to security and GDPR concerns, because we can identify personal data using machine learning + semantics, and no further copies of that data get created in new storage systems (unless requested by the customer). Security and governance rules can remain as is on data sources as well.
LeapAnalysis is designed to sit next to data lakes and use data from within the data lake, in combination with data that is external to the data lake. This is what we refer to as “data lake on demand” in that our product provides an ad hoc search and analytics capability as if one had already gone through the arduous steps of constructing a data lake pipeline and complex index or mapping of the data. LeapAnalysis has been built to be horizontally scalable across many large data sources and available to large and diverse sets of users. Queries and analytics are extremely fast and highly performant, allowing it to be used in enterprise applications with very good user experience reported.
LeapAnalysis (LA) is a state-of-the art search and analytics engine and the first ever to offer virtualized connectivity to any data source directly. It allows for true federation of enterprise data. LA utilizes metadata and machine learning to understand your data sources. Sophisticated translators then operate directly on sources natively. Data can remain in siloes, while behaving as though it were in a common location. Leverage the power of your data from a single user perspective and begin your path to Al.