The Unofficial Google Data Science Blog

DECEMBER 4, 2019

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Jedox

JANUARY 23, 2020

Target setting for select business drivers. Measurement of success and re-forecasting. In addition, EPM, in most cases, allows the updating of organizational planning data based on various business drivers and calculation of business rules (i.e. Analysis and calculation of major KPIs.

Enterprise 57

Enterprise Management Business Driver Forecasting 57

bridgei2i

AUGUST 28, 2020

BRIDGEi2i leveraged driver analysis and forecasting techniques to aid the planning exercise coupled with classification and best in class optimization using the Optimizer AI accelerator at a SKU level to increase prediction accuracy and fit measures. How BRIDGEi2i Delivered Value? Download the case study!

Business Driver 52

Business Driver Predictive Modeling Manufacturing Forecasting 52

Jedox

FEBRUARY 20, 2020

In our previous blog post “ Proven AI solutions for modern planning “, we shared detailed insights from Dr. Rolf Gegenmantel, our Chief Marketing & Product Officer, into data management and data integration as a basis for advanced analytics and automated sales forecasts at Mitsui Chemicals Europe.

Data Integration 52

Data Integration Finance Business Driver Forecasting 52

Jedox

AUGUST 20, 2018

Digitalization brings technological improvement but not a huge business value. Planning processes require collaboration, business logic policy and data integration. The maturity level for digital transformation can be measured by examining the following areas: Collaboration. Different periods (Last forecast, last year budget).

Digital Transformation 44

Digital Transformation Business Driver Sales Cost-Benefit 44

Alation

SEPTEMBER 29, 2021

They include missing out on new revenue opportunities, poorly forecasting performance, and making bad investments. At top-tier organizations, two key business drivers for data and analytics priorities emerge: Product innovation and operational efficiency are the two most popular reasons for pursuing a data culture.

Reporting 69

Reporting Uncertainty Data-driven Data Governance 69

Jet Global

MAY 1, 2023

Healthcare is forecasted for significant growth in the near future. Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. Prioritize Next, prioritize the desired functionality based on business drivers. How to measure the value.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52