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What Is Data Literacy?

erwin

With your employees connected and armed with data that paints a clear picture of the business, your organization is better prepared to turn its attention to whatever your strategic priority may be – i.e. digital transformation, customer experience, or withstanding this current (or future) crisis. So, what is data literacy?

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. Real-time analytics on customer data — made possible by DB2’s high-speed processing on AWS — allows the company to offer personalized insurance packages.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Part 3 will discuss how to manage the various DT risks. This discussion will include methods, tools, and techniques such as using personae and identifying use cases that have high business value, while minimizing project risks. Digital Experience Platforms (DXP). A good digital experience can underpin a good customer experience.

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

Part 3 will discuss how to manage the various DT risks. This discussion will include methods, tools, and techniques such as using personae and identifying use cases that have high business value, while minimizing project risks. Information Governance (IG). Customer Experience (CX). Introduction.

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Business process management (BPM) examples

IBM Big Data Hub

Benefits: Automated claim processing Reduced processing times Enhanced visibility Compliance and risk management By automating routine tasks and implementing predefined rules, BPM enables timely compliance with regulatory requirements and internal policies. Notifications can be generated to update customers about the status of their requests.

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The importance of data quality in Financial Services

Collibra

Financial services are highly regulated and maintain a strong focus on compliance and risk management. Considering that major financial organizations handle enormous amounts of data today, they require data accuracy and integrity at all times to minimize risks. Customer data can drift and lose integrity over time. Segmentation.