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The Shifting Sands of International Tax Regimes

Jet Global

Faced with such monumental potential changes, tax and transfer pricing are now front and centre of MNEs’ operational risk registers. Investing in the right skills and tools that help reduce that risk is a matter for the senior leadership team, not just tax and TP professionals. The Current Picture.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Where is all of that data going to come from? However, if you underestimate how many vehicles a particular route or delivery will require, then you run the risk of giving customers a late shipment, which negatively affects your client relationships and brand image.

Big Data 275
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9 Ways Location Data Can Help You Excel in Retail

Smart Data Collective

Following is a detailed look at some of the benefits of taking a data-driven approach in a retail business. Accurate client data collection and analysis are critical to maximizing all of these activities. Forecast customer behavior. This may include purchase history, customer habits, and other crucial data points.

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Bringing an AI Product to Market

O'Reilly on Data

This isn’t always simple, since it doesn’t just take into account technical risk; it also has to account for social risk and reputational damage. One mid-sized digital media company we interviewed reported that their Marketing, Advertising, Strategy, and Product teams once wanted to build an AI-driven user traffic forecast tool.

Marketing 361
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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. JPMorgan Chase & Co.:

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

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The most valuable AI use cases for business

IBM Big Data Hub

Personalize customer experiences The use of AI is effective for creating personalized experiences at scale through chatbots, digital assistants and customer interfaces , delivering tailored experiences and targeted advertisements to customers and end-users. See what’s ahead AI can assist with forecasting.