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5 Ways Your Retail Banks Can Use Data to Better Serve Digital Natives

Smart Data Collective

One of the sectors most impacted by big data has been banking. Big data is even more important to the banking sector as more of their services become digitalized. The market for analytics technology in the banking sector is projected to be worth over $5.4 Banks turn to Data Analytics as Demand for Digital Services Grows.

Banking 262
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AI-Driven Innovations in Enterprise Data Storage for Financial Data Management 

Astera

McKinsey reports only 7% of banks are completely utilizing crucial analytics, which shows that a vast majority of financial institutions are not maximizing the potential of their data. From automated data management solutions to blockchain and NLP, AI-driven innovations are poised to revolutionize the way we handle financial data.

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Business Analysis Digest #36

Passionate BA

User Experience vs. Customer Experience: What’s The Difference? But it is rare when we discuss another important issue, UI/UX, at length – CX or customer experience. by Kim Salazar Image source Almost all the time, when I talk to someone about design, we touch on the topics of UI and UX.

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The Power of Workato Integrations

Argon Digital

Unlocking Efficiency and Innovation: The Power of Workato Integrations In today’s rapidly evolving technological landscape, businesses face the constant challenge of staying competitive and relevant. One of the key drivers of success in this digital age is the ability to seamlessly integrate and connect various software solutions.

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EDI Security in Finance and Mortgage: Protecting Sensitive Data in Electronic Exchange

Astera

Enhanced Efficiency: By digitizing and automating data exchange, EDI improves operational efficiency within the mortgage industry. Improved Customer Experience: The efficiency and speed of EDI transactions contribute to an improved customer experience within the mortgage industry.

Finance 52
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Beyond OCR Form Processing: The Comprehensive Guide to Intelligent Form Data Extraction 

Astera

Key Steps in OCR Form Processing OCR converts text images into machine-readable text by following these steps: Step 1: Scan and digitize the image. OCR scans and changes the text image into a digital format, like a bitmap or vector file. This can help businesses gain insights, make decisions, and drive innovation.

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10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

Data Pine

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. From targeted advertising, education, and already mentioned massive industries (healthcare, manufacturing, or banking), to real-life scenarios, in guest service or entertainment. What’s the motive?