Remove Data Governance Remove Data Security Remove Insurance Remove Unstructured Data
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Top 5 Data + AI Predictions for Financial Services in 2024

Snowflake

Increasingly, financial institutions will monetize their data through apps and data marketplaces. But traditional data management systems struggle to store and process vast troves of unstructured data — ranging from emails and social media posts to scanned documents, video and audio recordings.

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What is Data Extraction? Examples, Tools & Techniques

Knowledge Hut

Structured Data: Structured data sources, such as databases and spreadsheets, often require extraction to consolidate, transform, and make them suitable for analysis. Unstructured Data: Unstructured data, like free-form text, can be challenging to work with but holds valuable insights.

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Solutions Architect Job Roles in 2024 [Career Options]

Knowledge Hut

Responsibilities: Define data architecture strategies and roadmaps to support business objectives and data initiatives. Design data models, schemas, and storage solutions for structured and unstructured data. Evaluate and recommend data management tools, database technologies, and analytics platforms.

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Real-World Use Cases of Big Data That Drive Business Success

Knowledge Hut

Compliance and Regulatory Reporting: Big data analytics helps banks comply with regulations by analyzing enormous volumes of data to spot any abnormalities or instances of non-compliance, ensuring that regulatory obligations are met. In insurance, big data use cases help with claim management and processing.