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Python in Finance: Real Time Data Streaming within Jupyter Notebook

KDnuggets

This guide covers dynamic visualizations, a Python for quant finance use case, and Bollinger Bands analysis with live data. Learn a modern approach to stream real-time data in Jupyter Notebook.

Finance 130
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10 Best Finance Management Software for 2024

Knowledge Hut

In the quick-moving world of business now, it is essential to manage finances well if you want to succeed. These features with ITIL training online are beneficial in doing essential jobs like reporting the company's finances or producing invoices for clients faster. Who Uses Financial Management Software?

Finance 52
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Startup Spotlight: Tesorio Helps Finance Teams Tackle Cash Flow Challenges

Snowflake

Tesorio Co-Founder and CTO Fabio Fleitas thinks so, and his startup’s AI/ML-driven platform aims to give finance teams better control over their cash flow so they can have greater impact on their organizations’ success. His deep understanding of the challenges faced by finance teams paved the way for our vision.

Finance 90
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Project Management in Finance: Scope, Best Practices

Knowledge Hut

As a Project Finance Manager, I'm here to guide you through the dynamic world where financial expertise meets effective project management. In this article, we'll explore the crucial responsibilities of this role within the finance department, covering financial project planning, execution, and control.

Finance 52
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The Changing Role of Finance

Teradata

Over the years, the finance function has evolved from pure accounting to being a catalyst of change. We are at the table, not just talking about the numbers, but influencing the business strategy.

Finance 52
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Data: The Crumbling Foundation of Finance, Our Once Trusted Advisor

Teradata

The most frequently asked question of Finance departments today is, ‘whose data do we trust’? Here’s how to ensure Finance always has the correct answer.

Finance 117
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7 Data Science Applications in Finance For Maximizing ROI

ProjectPro

From identifying fraudulent transactions to predicting market crashes, data science applications in the finance industry are endless. All this is possible now, thanks to the versatile data science applications in the finance industry. Imagine predicting market crashes or identifying fraudulent transactions before they occur.

Finance 52