Sisense

FEBRUARY 23, 2021

Determining data goals, making a plan. Since 2005, Measuremen has helped its clients study and optimize facilities use. What is the change that they want to facilitate, and what data elements can help them in deciding how to improve or facilitate that change?”. Multiple methods to collect maximum data.

Slice and Dice 52

Slice and Dice Data-driven Consulting Visualization 52

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. In this model, the Lambda function is invoked for each incoming event. The Lambda function is triggered at regular intervals using a scheduled EventBridge rule.

Analytics 91

Analytics IoT Metadata Internet of Things 91

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Smart Data Collective

FEBRUARY 28, 2023

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. Although Bridgewater Associates brought the risk parity fund to the market, they didn’t define the word until 2005, when Edward Qian of PanAgora Asset Management used it for the first time in a white paper he published.

Machine Learning 85

Machine Learning Risk Cost-Benefit Marketing 85

Rita Sallam

AUGUST 28, 2022

Afghanistan has gone from 7% of the rural population having good access to electricity in 2005 to 97% in 2019. Solar power is being used successfully in many African nations, but data collection is poor and so hides the important social benefits of this energy source.

Analytics 52

Analytics Data Analytics Cost-Benefit Measurement 52

The Unofficial Google Data Science Blog

JULY 18, 2023

Measurement challenges Assessing reliability is essentially a process of data collection and analysis. To do this, we collect multiple measurements for each unit of observation, and we determine if these measurements are closely related. Consuming this data, we’ll often care about the mean of multiple labels.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Smart Data Collective

SEPTEMBER 6, 2020

Otherwise, you might as well have a circa 2005 static website. Most want a self-serve model that allows them to find all the information they need to make a purchase decision. If your business model is unique or you need maximum flexibility, make sure your solution is easily customizable. What makes a great customer experience?

B2B 108

B2B Data Analytics Analytics Cost-Benefit 108