Remove Data Integration Remove Data Warehouse Remove Finance Remove Metrics
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Understanding Data Entities in Microsoft Dynamics 365

Jet Global

For organizations considering a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), or for those in the early stages of an implementation project, defining a clear strategy for curating data is a key to developing a comprehensive approach to reporting and analytics. Financial Reporting Made Simple.

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Financial Dashboard: Definition, Examples, and How-tos

FineReport

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). What is A Financial Dashboard?

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AWS Glue Data Quality is Generally Available

AWS Big Data

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. For an up-to-date list, refer to Data Quality Definition Language (DQDL).

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Automate Data Mapping for Regulatory Compliance & Agility

Octopai

Implementing good data mapping practices is an important way modern enterprise organizations use advanced business metrics for strategic insight. With the rapid rise of new data regulations across the globe, capable data mapping isn’t just a tool for companies to get a leg up on the competition – it is required for legal compliance.

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Five Key Questions to Help Speed JD Edwards Financial Reporting

Jet Global

According to a recent survey by the Hackett Group, 90 percent of finance respondents rated improving enterprise data and analytics capabilities as highly important or even critical. But how can finance departments provide this kind of information at speed? Financial reporting on JD Edwards data covers a lot of ground.

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9 Distinct Threats to Your BI Implementation

Jet Global

They are going to have different ways of combining numbers into metrics. We can almost guarantee you different results from each, and you end up with no data integrity whatsoever. The mechanical solution is to build a data warehouse. Do they model the way that your people need to see your data? guess what?

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How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight

AWS Big Data

Data analytic challenges As an ecommerce company, Ruparupa produces a lot of data from their ecommerce website, their inventory systems, and distribution and finance applications. The data can be structured data from existing systems, and can also be unstructured or semi-structured data from their customer interactions.