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Kyligence delivers a unified analytics platform that allows enterprises to analyze massive amounts of data at the sub-second level. Offering unified business semantic definition capabilities, it provides a live connection to Excel that helps businesses upgrade their data platform architecture and unleash the potential promised by big data analytics.
Excel is struggling with the analysis of the exploding volume of data. This has forced IT to seek out solutions for how they can improve analytics efficiency by upgrading the technical architecture of their data operations without affecting the analysis habits of business users. This means addressing:
Kyligence provides enterprises with a unified big data analytics platform that can analyze massive amounts of data, unleashing the promised potential of big data analytics. Able to complete data analysis at the sub-second level, business personnel are able to make decisions with maximum efficiency.
Kyligence's powerful multi-dimensional analytics engine helps enterprises easily deal with complex analysis scenarios involving many-to-many relationships, multiple fact tables, semi-additive measures, and custom rollups.
By concentrating the distributed BI analysis loads on the big data platform, Kyligence allows enterprises to reduce the data security risks presented by the spread of data across different business systems. User and data access management can be configured centrally at the data asset layer of the platform and applied to all business applications at the upper layers. IT teams no longer need to configure additional data access control for downstream systems.
With Kyligence, you can configure project-level, table-level, and cell-level data access control by access control of detailed semantic entities.
Learn the evolution of cloud analytics, and how you can achieve performance, efficiency, scalability, and security for your data engineering and analytics workloads on the cloud.
Learn how you can optimize your cloud data lake for both business value and cost, and accelerate your time-to-insight.
Understand the limitations of SSAS and traditional OLAP and how to ensure your business intelligence (BI) and analytics environment can handle Big Data.
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