CIO Business Intelligence

JULY 5, 2022

BI focuses on descriptive analytics, data collection, data storage, knowledge management, and data analysis to evaluate past business data and better understand currently known information. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

O'Reilly on Data

MARCH 31, 2020

At measurement-obsessed companies, every part of their product experience is quantified and adjusted to optimize user experience. These companies eventually moved beyond using data to inform product design decisions. That foundation means that you have already shifted the culture and data infrastructure of your company.

Management 332

Management Machine Learning Experimentation Metrics 332

Ontotext

APRIL 4, 2019

On March 19, 2019, Economy.bg They have different metrics for judging whether some content is interesting or not. This is a knowledge that anyone can get, but it would take much longer than optimal. This is extremely powerful, so literacy in data collection and data processing will be one of the crucial skills of the future.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

Occam's Razor

APRIL 15, 2019

If you are in the data business – my bread, butter and tofu – you often carry the burden of being the bearer of bad news. During 2019, our Net Promotion Score has dropped 15 points. Sadly still, negative data to the person/team receiving it. In 2019, we can measure the crap out of so much. Why be hurtin’?

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

Sisense

JUNE 9, 2021

Like every other business, football has experienced rapid technological advances that generate and capture data from training and match play. And also like their counterparts in the business world, coaches are relying on metrics to guide their decision-making. Gleaning actionable intelligence from disparate data sources.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. data collection”) show the “process” steps that a team performs, while the boxes (e.g.,

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. What metrics are used to evaluate success?

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49