Remove Big Data Remove Data Enablement Remove Risk Management
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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

By using Cloudera’s big data platform to harness IoT data in real-time to drive predictive maintenance and improve operational efficiency, the company has realized about US$25 million annually in new profit resulting from better efficiency of working sites. . Data enables Innovation & Agility. Risk Management.

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ISO 20022: Are your payment systems ready?

IBM Big Data Hub

Increased automation: ISO 20022 provides a more structured way of exchanging payment data, enabling greater automation and reducing the need for manual intervention, all of which help reduce errors and improve overall payment processing efficiency. These can help to increase customer satisfaction and loyalty.

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Commercial Lines Insurance- the End of the Line for All Data

Cloudera

The German underwriters analyzed historical data such as weather, location, breed, type of crop, and a farmer’s experience to assess risk, underwrite and set price exposures. In this way, the Commercial Lines segment of insurance has really been a user of big data since its inception. Another example is fleet management.

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Why Is Data Loss Prevention is Crucial for Business?

Smart Data Collective

Also, data can be accidentally leaked from storage due to human error. Monitoring all sensitive data enables companies to identify potential vulnerabilities and secure endpoints before a data leakage can occur. Storage DLP strives to pinpoint confidential files in storage and monitor who accesses and shares them.

Risk 139
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Business process management (BPM) examples

IBM Big Data Hub

This enables proactive decision-making, ensures consistency and improves operational efficiency. Also, BPM provides real-time insights into compliance metrics and risk exposure, enabling proactive risk management and regulatory reporting.

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How data from IoT devices is changing supply chain analytics

CIO Business Intelligence

The more data you have, the more costs you save.

IoT 106
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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Value Management or monetization. Risk Management (most likely within context of governance). Product Management. Out operating model respects programs, projects, and product management methodologies.