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Machine learning-based Sell-In Forecasting for Consumer Electronics

bridgei2i

Machine learning-based Sell-In Forecasting for Consumer Electronics. With over 2000 products and a channel-focused Supply Chain planning approach, our Client wanted accurate Supply Chain Forecast for optimal product-availability within 8-week lead-times. Our Forecasting Engine is a Proven Tool to Improve Visibility.

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Gartner D&A Summit Bake-Offs Explored Flooding Impact And Reasons for Optimism!

Rita Sallam

Are there mitigation strategies that show reasons for optimism? Are there mitigation strategies that can be implemented successfully that could provide policy guidance and reasons for optimism in the face of ever increasing frequency of extreme weather events? In 2000, the Netherlands had 8.5

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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So it should come as no surprise that Google has compiled and forecast time series for a long time.

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Self-Serve Analytics Supports Continuous Improvement!

Smarten

McKinsey recently surveyed 2000 businesses and found that 83% of high-tech/media/telecom, 76% of banking, and more than 50% of consumer companies identified as continuous improvement organizations. Find out how Augmented Analytics products can help your business plan and forecast for success. There is good reason for these results.

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insightsoftware Announces the Acquisition of Longview Solutions

Jet Global

As an example, multinational customers use Longview’s Operational Transfer Pricing (OTP) solution to perform analytics, run scenario analyses, and then build, execute, and manage intercompany transactions and optimize the tax impact across operations in different tax jurisdictions. Visit insightsoftware.com for more information.

Finance 90
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Unintentional data

The Unofficial Google Data Science Blog

We need to know whether the decision we are optimizing is significant enough to justify the time and experiment resources spent optimizing it. She wants to evaluate the performance of the Ice Axe 2000. Be skeptical, intellectually honest. Suppose a data scientist works at The Hill Climber, a climbing shop in the Himalayas.

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Becoming an Intelligent, Sustainable Enterprise with SAP

Timo Elliott

With a goal to optimize end-to-end processes and accelerate the organization’s digital journey, they looked for more efficient ways to execute all the manual and time-consuming financial forecasting process across their decentralized R&D business units. Trusted by customers.