Remove Data Integration Remove Data Warehouse Remove Finance Remove Risk
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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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9 Distinct Threats to Your BI Implementation

Jet Global

In Gartner’s report, an analyst goes to great pains to say that there is “much more risk associated to non-technology issues than there is to deploying the infrastructure, tools, and apps.”. We can almost guarantee you different results from each, and you end up with no data integrity whatsoever. Risk to the business.

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Automate Data Mapping for Regulatory Compliance & Agility

Octopai

Data mapping is the cornerstone of many important business intelligence processes: Data Integration – Even if systems are compatible, combining two disparate data repositories still requires meticulous data mapping. Correct data mapping facilitates the creation of usable, searchable data warehouses.

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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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How a water technology company overcame massive data problems with ActionKPI and IBM

IBM Big Data Hub

This work involved creating a single set of definitions and procedures for collecting and reporting financial data. The water company also needed to develop reporting for a data warehouse, financial data integration and operations.

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Business Intelligence System: Definition, Application & Practice

FineReport

When we talk about business intelligence system, it normally includes the following components: data warehouse BI software Users with appropriate analytical. Data analysis and processing can be carried out while ensuring the correctness of data. Data Warehouse. Data Analysis. Features of BI systems.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Most of the data management moved to back-end servers, e.g., databases.