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Kyligence's unified data model meets all of the BI analysis requirements of today's enterprises and eliminates the need for users to maintain multiple cubes with MicroStrategy or conventional online analytical processing (OLAP). Additionally, this unified data model makes it easy to develop a unified analysis view for your business.
Kyligence's unified semantic layer maps complex data into business language, making it easy for users to unify and reuse business semantics by synchronizing dimensions, metrics, and hierarchical structures that are familiar to business users with MicroStrategy and other popular BI tools.
Reduce your unit cost with an architecture optimized for the total cost of ownership (TCO). You can use computing resources on demand and pay for services on a pay-as-you-go basis.
Whether deployed locally or on the cloud, MicroStrategy + Kyligence supports various data analysis scenarios and creates a one-stop enterprise-level data analysis experience.
Connect to Kyligence data sources using ODBC for SQL Server or multi-dimensional data sources, such as XMLA and MDX-enabled data sources；
With MicroStrategy 10, you can simply connect to Kyligence data sources using ODBC；
MicroStrategy 2021 also offers multiple ways to connect to Kyligence data sources using multi-dimensional data sources such as XMLA and MDX-enabled data sources；
Leverage the performance of the big data platform.
Whether it is self-service business analysis of routine reports, detailed data query, or Ad hoc query, Kyligence + MicroStrategy unified all-inclusive OLAP supports all business analysis needs.
A common problem with implementing BI at the enterprise level is security isolation between roles. In an enterprise with a large number of employees and departments, different permissions must be set for business users in different departments, or even for business users in the same department but in different locations.
Kyligence enables granular data access control at the project level, table level, or row/column level, and provides different data views for different users.
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.
Help your business go from data to insight faster than ever with this guide to updating your IT and analytics environment in the age of Big Data.
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