Remove Data Transformation Remove Data Warehouse Remove Operational Reporting Remove Presentation
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What is a Data Pipeline?

Jet Global

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.

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Discover Efficient Data Extraction Through Replication With Angles Enterprise for Oracle

Jet Global

When extracting your financial and operational reporting data from a cloud ERP, your enterprise organization needs accurate, cost-efficient, user-friendly insights into that data. While real-time extraction is historically faster, your team needs the reliability of the replication process for your cloud data extraction.

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Three Ways to Tell Your Story With Power BI and CXO

Jet Global

However, leveraging these insights can be challenging if your reports and data don’t speak to each other. Disconnected enterprise performance management (EPM) operational reporting can present significant limitations and challenges for your business.

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A Stitch in Time: How Jet Analytics Boosts Microsoft Fabric Time-to-Value

Jet Global

This allows you to fully utilize your Fabric-based systems and overcome typical obstacles related to complex data environments. Bridge Functional Gaps Fabric has shifted away from traditional relational database management systems (RDBMS), presenting users with a new challenge.

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Save Time and Stress with Dynamics Data Merging from Atlas

Jet Global

Complex Data Structures and Integration Processes Dynamics data structures are already complex – finance teams navigating Dynamics data frequently require IT department support to complete their routine reporting.

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What Is Embedded Analytics?

Jet Global

Discuss, don’t present. Present your business case. To support your case, present findings from the State of Embedded Analytics study. Information Delivery The main reason software providers take on an embedded analytics project is to improve how data is presented. It is now most definitely a need-to-have.