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Is Data Analytics Ushering in the Modern Age of Weather Forecasting?

Smart Data Collective

Weather forecasting technology has grown from strength to strength in the last few decades. Gone are the days when you had to wait for the local news channel to share the weather forecasts for the next day. Instead, you’ve got access to a broad spectrum of valuable weather data right at your fingertips.

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Cloud Automation Drives the Trend of E-Procurement Technology

Smart Data Collective

Cloud technology is becoming an increasingly important part of modern business. One of the biggest reasons cloud technology is becoming important is that it is helping companies make e-procurement possible. This is all made possible with cloud technology. E-procurement technology gives you an opportunity to enhance your ROI.

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3 technology trends set to revolutionize retail

CIO Business Intelligence

To offer customers a shopping experience that is accessible, seamless, and engaging, retail IT leaders must devise revenue-focused strategies that, harness cutting-edge technology to address present and future needs of the business. From 250 such stores in 2021, the study forecasts the number to touch 12,000 by 2027.

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5 Tips for Implementing Rolling Forecasts

Jedox

In our last post, “ Rolling Forecasts: The Pros and Cons ,” we looked at why rolling forecasts are used, when it makes sense to use them, and for whom. In our third and last post in this series, we give five tips for a successful implementation of rolling forecasts in your organization’s FP&A processes. .

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How technology will define the future of UAE healthcare

CIO Business Intelligence

But even before the pandemic hit, Dubai-based Aster DM Healthcare was deploying emerging technology — for example, implementing a software-defined network at its Aster Hospitals UAE infrastructure to help manage IoT-connected healthcare devices. The same goes for the adoption of data warehouse and business intelligence.

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Solving the Data Daze – Analytics at the Speed of Business Questions

Rocket-Powered Data Science

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

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Financial planning & budgeting: Navigating the Budgeting Paradox

IBM Big Data Hub

It continues to change, shaped by technological advancements, shifts in consumer preferences and new challenges. Why budgeting feels like a marathon Just like marathon training takes months of preparation, crafting a budget involves a lot of data collection, metrics analysis, resource allocation and collaboration.