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Indian BFSI Reinvents Risk Detection with AI-Driven Early Warning Systems

Flipboard

BCT Digital’s rt360 EWS is designed for flexibility, integrating both traditional methods, such as ETL, database links and flat files, and modern approaches, such as application programming interfaces (APIs) and streaming feeds. by Smruthi Nadig Non-performing assets (NPAs) have long plagued India’s banking and financial services sector.

AI
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Modern Data Challenges: 4 Key Considerations in Financial Services

Precisely

In a recent webinar hosted by Fintech Nexus, Doug Lopp, CTO of Bend by FNBO, remarked on the role of technology in today’s financial services organizations: “Business and technology are starting to align much more closely than they ever have before, to the point where they are indistinguishable.

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Arize AI on How to apply and use machine learning observability

Snorkel AI

You have to make sure that your ETLs are locked down. Then there’s data quality, and then explainability. Arize AI The third pillar is data quality. And data quality is defined as data issues such as missing data or invalid data, high cardinality data, or duplicated data.

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From zero to BI hero: Launching your business intelligence career

Dataconomy

They may also be involved in data modeling and database design. BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and data quality assurance.

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From zero to BI hero: Launching your business intelligence career

Dataconomy

They may also be involved in data modeling and database design. BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and data quality assurance.

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Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

Data Warehousing and ETL Processes What is a data warehouse, and why is it important? A data warehouse is a centralised repository that consolidates data from various sources for reporting and analysis. It is essential to provide a unified data view and enable business intelligence and analytics.

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What Is a Data Fabric and How Does a Data Catalog Support It?

Alation

Indeed, the foundation of your data architecture and strategy – and thus your business strategy – begins with choosing the best data catalog to support your business. But how do you go about selecting the right data catalog? These two resources can help you get started: White paper: How to Evaluate a Data Catalog.