Remove Data Warehouse Remove Finance Remove Risk
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How to Future-Proof Your Business Systems with a Data Warehouse

Jet Global

Interestingly, you can address many of them very effectively with a data warehouse. Even that is a pretty big project, but it leaves many finance and accounting organizations feeling like they have settled for a compromise. The Data Warehouse Solution. It substantially reduces risk. There is another benefit.

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Manage your data warehouse cost allocations with Amazon Redshift Serverless tagging

AWS Big Data

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Solution overview Let’s say that your company has two departments: marketing and finance. Each department has multiple cost centers and environments, as illustrated in the following figure.

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Three Things Finance and Accounting Teams Should Know about Power BI and Risk

Jet Global

A full Power BI implementation is a large-scale project, and it carries similar risks. If you are considering using Power BI in your organization, here are some key points to keep in mind that impact project risk: 1. Power BI Without the Risk. Power BI Is Highly Complex. That’s a relatively straightforward proposition.

Finance 52
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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits.

Risk 70
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Treasury Management International: Get Your Finance Team out of the BI Spiral

Jet Global

While BI tools serve many lines of business well and have their obvious merits, they often don’t hit the mark in finance. Finance teams’ reporting needs are too specialised for modern BI tools, so finance needs something different. Data Warehouses Don’t Solve the Problem.

Finance 52
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Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI

Cloudera

In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation. Regulation and risk are a big focus for financial institutions.

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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.