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The newest version of ElegantJ BI includes: Real-Time Cubes: Users have the freedom to work with realtimedata or cached data. The cube engine enables connection to disparate data sources such as databases, CSV files and MDX data sources like Microsoft® SSAS and SAP® BW cubes.
The newest version of ElegantJ BI includes: Real-Time Cubes: Users have the freedom to work with realtimedata or cached data. The cube engine enables connection to disparate data sources such as databases, CSV files and MDX data sources like Microsoft® SSAS and SAP® BW cubes.
The newest version of ElegantJ BI includes: Real-Time Cubes: Users have the freedom to work with realtimedata or cached data. The cube engine enables connection to disparate data sources such as databases, CSV files and MDX data sources like Microsoft® SSAS and SAP® BW cubes.
This is because the integration of AI transforms the static repository into a dynamic, self-improving system that not only stores metadata but also enhances data context and accessibility to drive smarter decision-making across the organization. And when everyone has easy access to data, they can collaborate and meet demands more effectively.
Instead of relying solely on manual efforts, automated data governance uses reproducible processes to maintain dataquality, enrich data assets, and simplify workflows. This approach streamlines data management, maintains data integrity, and ensures consistent dataquality and context over time.
For example, GE Healthcare leverage AI-powered data cleansing tools to improve the quality of data in its electronic medical records, reducing the risk of errors in patient diagnosis and treatment. Continuous DataQuality Monitoring According to Gartner , poor dataquality cost enterprises an average of $15 million per year.
Since we live in a digital age, where datadiscovery and big data simply surpass the traditional storage and manual implementation and manipulation of business information, companies are searching for the best possible solution for handling data. It is evident that the cloud is expanding.
Ideal for: user-friendly data exploration and self-service analytics, well-suited for businesses of all sizes with a focus on intuitive datadiscovery. SAS Viya SAS Viya is an AI-powered, in-memory analytics engine that offers data visualization, reporting, and analytics for businesses.
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