Remove Data Warehouse Remove Finance Remove Manufacturing
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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

In fact, by putting a single label like AI on all the steps of a data-driven business process, we have effectively not only blurred the process, but we have also blurred the particular characteristics that make each step separately distinct, uniquely critical, and ultimately dependent on specialized, specific technologies at each step.

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How Data-Driven Decisions Boost the Future of Industrial Manufacturing

Jet Global

The industrial manufacturing industry produces unprecedented amounts of data, which is increasing at an exponential rate. Worldwide data is expected to hit 175 zettabytes (ZB) ?by by 2025, and 90 ZB of this data will be from IoT devices. Can you correlate data across all departments for informed decision- making ?

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5 misconceptions about cloud data warehouses

IBM Big Data Hub

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery.

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The role of AI in operational efficiency: Beyond the silver bullet

CIO Business Intelligence

In other words, the allure of AI lies in its ability to process vast amounts of data quickly, identify patterns that might be invisible to humans, and adapt to new information in real time. For instance, in manufacturing, AI can predict equipment failures before they happen, allowing for preventive maintenance that reduces downtime and costs.

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What is the CIO’s role today? Redefining transformational IT leadership

CIO Business Intelligence

Digital is sales, marketing, finance, legal, and operations — everything. CIOs are responsible for building an enterprise data and analytics capability, but they do not own data as a function. If that is the case, where should the data and analytics function sit?

IT 124
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How To Get Rid Of Your Data Silos in S&OP

Jedox

The process of sales and operations planning (S&OP) is one of the most important tasks for organizations in manufacturing. The problem with data silos in the planning process. In many manufacturing companies, large and small, sales reps and leaders regularly consolidate their data in a central spreadsheet.

Sales 96
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Goodbye Oracle Discoverer, Hello Next-Generation Reporting

Jet Global

It’s also important to consider your business objectives, both inside and outside finance. Finally, talk to stakeholders in finance, IT, and the C-suite about what the ideal reporting process looks like to both producers and consumers. Data warehouse (and day-old data) – To use OBIEE, you may need to create a data warehouse.