Dashboards Data Quality Data Warehouse Operational Reporting 
Jet Global
MAY 6, 2024
However, if your team is accustomed to traditional methods they might hesitate to embrace SAP IBP’s AI-powered data anomaly detection for a few reasons. Firstly, there’s a potential fear of the unknown – relying on AI for such a critical task as data quality can feel like a leap of faith.
Jet Global
NOVEMBER 14, 2023
Digging into the top four drawbacks of using outdated EBS data you will see your team is: Working long hours to hit month-end close targets: Your most valuable resources are spending too much time copying and pasting to compile or reconcile the information they need. Leaning too hard on IT: Oracle’s native tools are far from finance friendly.
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Jet Global
MAY 8, 2024
Logi Symphony harnesses the strengths of two recent insightsoftware acquisitions, Logi Analytics and Dundas BI, to enable software teams to rapidly design, build, and embed interactive dashboards, pixel-perfect reports and data visualizations with fast connectivity and access to modern data infrastructure.
Jet Global
SEPTEMBER 26, 2023
Data Cleansing Imperative: The same report revealed that organizations recognized the importance of data quality, with 71% expressing concerns about data quality issues. This underscores the need for robust data cleansing solutions.
Jet Global
MAY 9, 2024
The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.
Jet Global
AUGUST 24, 2023
Encryption ensures that sensitive data remains unreadable and protected from unauthorized access during data integration and transfer processes. Restricted access to specific data sources, reports, or dashboards ensures that only authorized personnel can view and interact with sensitive financial information.
Jet Global
FEBRUARY 23, 2024
The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.
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