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Finance Data Warehouse for Reporting and Analytics

Astera

It serves as the foundation of modern finance operations and enables data-driven analysis and efficient processes to enhance customer service and investment strategies. This data about customers, financial products, transactions, and market trends often comes in different formats and is stored in separate systems.

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Guide to Data Warehouse: Concepts, Schemas and Benefits Explained

Astera

In the digital age, a data warehouse plays a crucial role in businesses across several industries. It provides a systematic way to collect and analyze large amounts of data from multiple sources, such as marketing, sales, finance databases, and web analytics. What is a Data Warehouse?

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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. The post How Will The Cloud Impact Data Warehousing Technologies?

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Automated Credit Risk Assessment: How ETL Is Unlocking Better Investments

Astera

End-to-End Credit Risk Assessment Process The credit risk assessment is a lengthy process where banks receives hundreds of loan applications daily from various channels, such as online forms, email, phone, and walk-in customers. The data pipeline is prone to errors and failures, such as network issues, server downtime, data corruption, etc.

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So Many Choices…. Oh My! Choosing the right Cloud Data Warehouse for my Modernization Project

Actian

So, you have made the business case to modernize your data warehouse. But how do you effectively go about choosing the right data warehouse to migrate to? The business benefits of data migration can be compelling. Where to find this mythical hybrid data warehouse of the future today? Good choice!

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Ensuring Enterprise Data Privacy: 2024 & Beyond | Tips From 6 Data Experts

Astera

The Impact of Regulations like GDPR Vincent Rainardi , a Data Architect and Author, highlights the profound impact of regulations like the General Data Protection Regulation (GDPR) on enterprises. ” The ripple effects of GDPR extend beyond mere data storage and access.

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Powerful Video Summaries, Powered by AI

Timo Elliott

Another example is Mercedes-Benz, which used SAP Cash Application and machine learning to automatically match invoices with bank information, which led to a 58 percent increase in automatic matching and significant time and cost savings for the finance department.