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Kyligence Zen
The Metrics Platform
Enables businesses to focus more on how to take actions on metrics rather than how to generate them.
Aligned metrics definition across all businesses, data consumers, and decision-makers.
Automated metrics calculation by the built-in augmented OLAP engine to boost performance.
Connect consistent metrics to any BI or SaaS tools that business users prefer.
The speed and agility with which Kyligence allows us to access data and empower our team with the right information means we're able to make sound business decisions quickly.
The performance boost from Kyligence has enabled us to take full advantage of the scalability big data platforms offer.
Kyligence acts as our bridge between our data lake and data applications and meets the low latency and high concurrency requirements for our self-service analytics platform.
The Kyligence team has demonstrated unmatched technical expertise from architecture building to implementation. Together we were able to develop an AWS-based data lake architecture that met the strictest requirements of IoV to process batch and real-time streaming data.
Finding the time-series data of a single-vehicle against hundreds of billions of levels of details has always been a huge challenge for us. Kyligence's pre-computation capability at scale, combined with time-dimensional aggregation algorithm, helped solve this Internet of Vehicles query conundrum.
Unleash the Full Potential of Your Big Data
OLAP on Data Lake
Metrics Store
SSAS Alternative
Excel on Big Data
Semantic Layer
BI Self-Service on Tableau
Consolidate data, eliminate data silos, reduce repetitive data development workloads, ensure data security, support flexible modification, lower model change costs, quickly respond to business needs, and shorten business operation cycles.
Eliminate data silos, reduce repetitive data development works, support flexible modification, and lower model change costs.
Deliver stable high-performance, high-concurrency big data services, and reduce IT operational and maintenance costs by providing system support.
Empower non-tech users, democratize data analytics, and enable self-service business analytics for all.
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