Modeling Operational Reporting Reporting 
Jet Global
OCTOBER 26, 2021
The terms “reporting” and “analytics” are often used interchangeably. In fact there are some very important differences between the two, and understanding those distinctions can go a long way toward helping your organization make best use of both financial reporting and analytics. Financial Reporting.
CIO Business Intelligence
SEPTEMBER 10, 2024
Fusion Data Intelligence, which is an updated avatar of Fusion Analytics Warehouse, combines enterprise data, and ready-to-use analytics along with prebuilt AI and machine learning models to deliver business intelligence.
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datapine
SEPTEMBER 4, 2019
Dashboards often are the best way to gain insight into an organization and its various departments, operations and performance. Well-built, focused dashboards easily serve up summaries and reports of the BI that’s most critical to the organization. It is important to remember that dashboards are not just reports.
Jet Global
NOVEMBER 5, 2020
Reporting will change in D365 F&SCM, and those changes could significantly increase complexity and total cost of ownership. Now, instead of making a direct SQL call to the database to get information, a report must query a kind of intermediary layer instead. That works reasonably well for traditional reporting functions.
CIO Business Intelligence
AUGUST 30, 2022
Companies are awash with information, each different department has their own KPIs and methods of reporting. They need integrated financial insights on accounting and finances data, better traceability and operational reporting on things such as customer segmentation, products and revenue assurance.
Jet Global
FEBRUARY 8, 2021
If your business is running Microsoft Dynamics 365 Business Central (D365 BC) , or if you are planning to do so in the near future, then you are probably hearing a lot about Power BI as Microsoft’s preferred reporting and analytics platform for the company’s business applications. That provided a natural layer of security and privacy.
CIO Business Intelligence
FEBRUARY 14, 2023
To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions.
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