Peter James Thomas

AUGUST 12, 2018

Let’s start however with some definitions. Often an issue may also be a lack of master data definitions, so that similar data is labelled differently in different systems. Pertinence and fidelity of metrics developed from Data. Metrics are seldom reliant on just one data element, but are often rather combinations.

Metrics 49

Metrics Statistics Data Quality Measurement 49

bridgei2i

JULY 8, 2020

This is probably the first time ever that we are witnessing a demand, a supply, and also a resource uncertainty. That companies have been using their digital transformation journeys, and the COVID crisis is going to definitely lap upon it. Effectiveness, which is, how can any form of digital information help us drive business metrics.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

Domino Data Lab

JUNE 23, 2019

Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. Another pattern that I’ve seen in good PMs is that they’re very metric-driven. If you can find a machine learning application that ties to a direct business metric, it can be magical.

Management 110

Management Machine Learning Experimentation Metrics 110

O'Reilly on Data

OCTOBER 13, 2020

This distinction assumes a slightly different definition of debugging than is often used in software development. Ideally, AI PMs would steer development teams to incorporate I/O validation into the initial build of the production system, along with the instrumentation needed to monitor model accuracy and other technical performance metrics.

Management 253

Management Metrics Machine Learning Modeling 253

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

The result is that experimenters can’t afford to be sloppy about quantifying uncertainty. These typically result in smaller estimation uncertainty and tighter interval estimates. Variance reduction through conditioning Suppose, as an LSOS experimenter, you find that your key metric varies a lot by country and time of day.

Experimentation 40

Experimentation Metrics Statistics Measurement 40

Domino Data Lab

JULY 22, 2019

I definitely want to provide some shout-outs. In data science, definitely, there are other people who’ve talked more about that and we’ll point to them. I definitely recommend Chris as well. They learned about a lot of process that requires that you get rid of uncertainty. It doesn’t work. All righty.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Timo Elliott

JANUARY 18, 2021

We have definitely heard feedback from our employees that they would like some more flexibility in how they work. We’ve created a metric with our data scientists called P0, the progress to zero, and we talk in terms of the progress to zero in terms of case counts and deaths. Kurt: Yeah, that’s a really, really good point.

IT 76

IT Dashboards Digital Transformation Data-driven 76

CIO Business Intelligence

SEPTEMBER 27, 2022

ERP definition. ERP systems typically operate on an integrated software platform using common data definitions operating on a single database. A common database enables data to be defined once for the enterprise with every department using the same definition. Change creates uncertainty at all organization levels.

Enterprise 109

Enterprise Cost-Benefit Manufacturing Software 109

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

By definition, it is hard to disentangle causes and effects in these settings because it is rarely possible to isolate all relevant factors. Note also that this account does not involve ambiguity due to statistical uncertainty. Imagine your work requires you to understand, quantify and react to a complex phenomenon or system (e.g.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45

datapine

SEPTEMBER 4, 2023

Not only is each flight color-coded by the airline, but this short movie-style visualization has transformed flight-based metrics into a piece of art that shows the path of each flight in action. A glorious example of numerical metrics transformed into something accessible, engaging, and informational for everyone.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

Jet Global

NOVEMBER 16, 2021

Logistics KPIs can measure a variety of metrics, most of which pertain to purchasing, warehousing, transportation, delivery of goods, and financials. Logistics KPIs can measure a variety of metrics, most of which pertain to purchasing, warehousing, transportation, delivery of goods, and financials. How to Build Useful KPI Dashboards.

Metrics 84

Metrics Reporting Key Performance Indicator KPI 84

Jet Global

NOVEMBER 10, 2021

Enterprise planning is transformational; it’s not just a new and improved method for business planning, but rather, a seed for cultural change that aligns organizational resources around a common set of goals, objectives, and metrics. Begin With the (Strategic) End in Mind. In enterprise planning, follow-through is equally critical.

Enterprise 52

Enterprise Recreation/Entertainment Finance Reporting 52