Sisense

SEPTEMBER 9, 2019

Mark Hopkins is the Chief Information Officer at Park City, Utah based Skullcandy, leading the global IT, Digital, and Customer Service teams. Mark’s team is constantly adapting to and meeting the challenges of a rapidly evolving business using cloud technologies, real-time analytics, data warehousing, and virtualization.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

CDW Research Hub

OCTOBER 5, 2020

Let’s face it: most IT directors or company leaders didn’t have “global pandemic” in their 2020 strategic plans. Enterprises everywhere have had to shift, re-plan, and ultimately roll with the economic punches in this year of uncertainty and “what’s next?”. Shifting to cloud in 2020. Taking the complexity out of cloud.

Cost-Benefit 52

Cost-Benefit Uncertainty Optimization Management 52

bridgei2i

JUNE 3, 2020

The following Gartner diagram shows the Coronavirus in the context of the cultural zeitgeist of current times. As a direct result, customers are in a state of heightened vigilance about their health, safety, and well-being, as the pandemic continues. COVID-19 as a social zeitgeist and its impact on the consumer psyche (Gartner).

Manufacturing 52

Manufacturing Forecasting Uncertainty Digital Transformation 52

bridgei2i

JUNE 11, 2020

If you’ve followed the Coronavirus situation unfurl on TV, you’d have noticed how in the early days, customers queued up in front of US supermarkets to stock up on essential provisions. With a conservational mindset setting in, customers are spending only on what they need. How Consumer Behaviour has changed.

Digital Transformation 52

Digital Transformation Sales Uncertainty Forecasting 52

The Unofficial Google Data Science Blog

JULY 22, 2020

These strategies involve changing assignment weights during an experiment. However, if one changes assignment weights when there are time-based confounders, then ignoring this complexity can lead to biased inference in an OCE. There are two common reasons assignment weights may change during an OCE.

Experimentation 95

Experimentation Statistics Testing Strategy 95

The Unofficial Google Data Science Blog

APRIL 17, 2017

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.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Occam's Razor

APRIL 15, 2019

During 2019, our Net Promotion Score has dropped 15 points. The average length of our video ads is 30 seconds, less than 10% of the audiences watches beyond 5 seconds and 90% is exposed to less than 1 second. Our Market Share in the 2-ton truck market shrunk by 1.5% (= -$3 bil). The conversion rate is down 30% at launch.

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

Domino Data Lab

JULY 22, 2019

This blog post provides a concise session summary, a video, and a written transcript. By looking through this lens, industry is able to ingest and iterate on some current “hot buttons” and infer potential implications on decisions, outcomes, and insights that may surface during the course of their work. Session Summary. Transcript.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

datapine

MAY 31, 2022

Yes, this ambiguous term seems to encompass almost everything about us. Yes, this ambiguous term seems to encompass almost everything about us. We have already predicted in our BI trends article the importance and implementation of the cloud in companies like Alibaba, Amazon, Google and Microsoft. Table of Contents.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Domino Data Lab

FEBRUARY 20, 2019

During the candid discussion he points out how the probabilistic nature of data science work differs from “normal software engineering”. This blog post provides some excerpts from the discussion, the audio recording, as well as a full written transcript of the conversation. Introduction: Consider Being Product-Minded.

Data Science 76

Data Science Testing Software Uncertainty 76

DataRobot Blog

OCTOBER 4, 2022

This has prompted AI/ML model owners to retrain their legacy models using data from the post-COVID era, while adapting to continually fluctuating market trends and thinking creatively about forecasting. In the last few years, businesses have experienced disruptions and uncertainty on an unprecedented scale.

Forecasting 59

Forecasting Sales Data-driven Modeling 59

datapine

SEPTEMBER 4, 2023

Table of Contents 1) The Benefits Of Data Visualization 2) Our Top 27 Best Data Visualizations 3) Interactive Data Visualization: What’s In It For Me? A visual is processed 60,000 times faster than any text, and studies show that 65% of the population comprises visual learners. No, data is the new soil.”

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Table of Contents.

Statistics 363

Statistics Advertising Visualization Data mining 363

Cloudera

OCTOBER 8, 2020

That’s the message from our Chief Marketing Officer Mick Hollison discussing digital transformation with Charlene Li at Cloudera Now. . She’s the New York Times bestselling author of six books, including her newest release, The Disruption Mindset: Why Some Businesses Transform While Others Fail. Charlene is a titan in the field.

Digital Transformation 101

Digital Transformation Experimentation Unstructured Data Uncertainty 101