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A semantic layer is a business abstraction derived from the technical implementation layer to uniformly maintain business logic. It frees business users from concerns about the technical complexity and implementation of the underlying data source.
Kyligence provides a central platform that integrates different data sources including databases, data warehouses, cloud storage, big data, and streaming data. Thanks to its standard SQL/MDX interface, IT personnel can eliminate data silos caused by traditional disparate systems, define standardized metrics, and provide a centrally governed data mart. All of this enables business users to easily pull together the data they need to make better data-driven business decisions.
Kyligence helps your organization create a unified and common semantic business model to map complex data into clear business terms. The dimensions, measures, and hierarchies familiar to business personnel are synchronized with mainstream BI tools through a unified semantic layer to create a unified and reusable set of business semantics.
Kyligence's business semantic layer supports Excel, Power BI, Tableau, and MicroStrategy.
Business users can directly use the metrics centrally defined on the Kyligence semantic layer through their BI tools without having to care about the complex computing logic of underlying data sources.
IT teams or data analysts can easily define time intelligence metrics, such as YOY (year-on-year), comparison to the last statistical period, and YTD (year-to-date), to provide business users with straightforward insight into business performance.
Kyligence's powerful multi-dimensional analytics engine makes it easy for companies to handle complex analysis scenarios involving many-to-many relationships, multiple fact tables, semi-additive measures, etc.
By concentrating distributed BI analysis loads on the platform, Kyligence allows enterprises to reduce data security risks created by the spread of data across different business systems. User and data access management can be centrally configured at the data asset layer of the platform and carries over to all business applications at the upper layers. All of this means IT personnel does not have to configure additional data access controls for downstream systems.
With Kyligence, you can configure data access control at the project-level, table-level, and cell-level by users or user groups, and ensure the access control of detailed semantic entities.
With Kyligence's industry-leading distributed MDX engine, data developers can use MDX query language with a traditional semantic OLAP layer while leveraging a Spark distributed cluster. This greatly improves overall query speed by optimizing query performance on complex metrics across hundreds of dimensions and petabytes of data and allows enterprise teams to enjoy superior and stable query performance.
Additionally, DevOps can have the distributed MDX engine service and its Spark cluster hosted as needed to reduce operation and maintenance costs.
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