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

BizAcuity

FEBRUARY 15, 2019

Sales Analytics in simple terms can be defined as the process used to identify, understand, predict and model sales trends and sales results and in this process of understanding of these trends helps its users in finding improvement points. Sales Analytics in Event Industry – A Perspective View.

Sales 67

Sales Analytics B2B ROI 67

bridgei2i

MAY 26, 2020

In the post-COVID era, they can be empowered with a high standard of data and analytics sophistication to cope and thrive. By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. To introduce him better, he has been a supply chain analytics professional for over 14 years.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

CIO Business Intelligence

MARCH 9, 2022

Based in Abu Dhabi and in operation since 2003, in recent years Etihad has used a data lake and a unified set of AI-driven analytics tools to optimise staffing, the handling of passengers, and responses to customer inquiries. Unifying analytics on a data science platform. Predicting passenger arrivals. Martin Hammer.

Data Science 88

Data Science Data Lake Cost-Benefit Digital Transformation 88

CIO Business Intelligence

MAY 24, 2023

The first published data governance framework was the work of Gwen Thomas, who founded the Data Governance Institute (DGI) and put her opus online in 2003. The biggest value comes when you can implement end-to-end use cases—combining manufacturing with sales forecast planning, for example.”

Data Governance 97

Data Governance Data Quality Data Collection Manufacturing 97

Andrew White

APRIL 22, 2020

AI and machine learning will help, along with other data and analytics capabilities. Data, analytics and AI. This enthusiasm for the topic hearkens back to Erik Brynjolfsson’s popular opine from a paper in 2003 (Computing Productivity: Firm Level Evidence): we see productivity growth all around us; just not in the data.

Software 52

Software Uncertainty Measurement Marketing 52