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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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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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Business process management (BPM) examples

IBM Big Data Hub

And while enterprise resource planning (ERP) integrates and manages all aspects of a business, BPM focuses on its individual functions—optimizing the organization’s existing, repeatable processes end-to-end. This enables proactive decision-making, ensures consistency and improves operational efficiency.

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How data from IoT devices is changing supply chain analytics

CIO Business Intelligence

A McKinsey study on the impact of this extended disruption found something very interesting: while 75% of companies surveyed faced problems with their supplier base, production and distribution, 85% said they struggled with “insufficient digital technologies” in the supply chain. The more data you have, the more costs you save.

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

Andrew White

So the material is not designed for IT – but spans business and technology. The fill report is here: Leadership Vision for 2021: Data and Analytics. How do you think Technology Business Management plays into this strategy? Where does the Data Architect role fits in the Operational Model ? Governance.

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What is a Data Pipeline?

Jet Global

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.