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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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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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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. As Alex Woodie eloquently describes in his recent article, Big Data Is Still Hard.

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CDC for ETL Process Optimization in Finance Industry

Astera

From managing customer transactions and financial records to dealing with regulatory requirements and risk management, data plays a crucial role in every aspect of banking operations. This data is categorized as big data, a term denoting “large, diverse sets of information that grow at ever-increasing rates.”

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From Documentum to Document Management

Argon Digital

Reduce your risk – Manually processing and storing paper documents comes with built-in risks, such as data entry mistakes, lost documents, slow processing, security breaches, and even the risk of flood or fire destroying your archives. This video details an amazing Ephesoft project we worked on for a client in the oil and gas industry.

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Data Integrations and Use Cases

The BAWorld

Load : The formatted data is then transferred into a data warehouse or another data storage system. ELT (Extract, Load, Transform) This method proves to be efficient when both your data source and target reside within the same ecosystem. Extract: Data is pulled from its source.

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CDC for ETL Process Optimization in Finance Industry

Astera

From managing customer transactions and financial records to dealing with regulatory requirements and risk management, data plays a crucial role in every aspect of banking operations. This data is categorized as big data, a term denoting “large, diverse sets of information that grow at ever-increasing rates.”

Finance 40