article thumbnail

Why Nonprofits Shouldn’t Use Statistics

Depict Data Studio

— Thank you to Ann Emery, Depict Data Studio, and her Simple Spreadsheets class for inviting us to talk to them about the use of statistics in nonprofit program evaluation! But then we realized that much of the time, statistics just don’t have much of a role in nonprofit work. Why Nonprofits Shouldn’t Use Statistics.

article thumbnail

Top 8 predictive analytics tools compared

CIO Business Intelligence

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Deep integration with SAP warehouse and SCM; low-code, no-code features.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

The top 15 big data and data analytics certifications

CIO Business Intelligence

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. Organization: Google and Coursera Price: US$49 per month after a 7-day free trial period.

Big Data 126
article thumbnail

Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern. No automation: Security professionals identify and address incidents and problems manually through dashboards.

article thumbnail

What you need to know about product management for AI

O'Reilly on Data

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies.

article thumbnail

What is DataOps? Principles and Benefits

Octopai

Your dashboards, charts, visualizations… they’re all products. . Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates. Issue detected?

article thumbnail

6 DataOps Best Practices to Increase Your Data Analytics Output AND Your Data Quality

Octopai

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. Continuous pipeline monitoring with SPC (statistical process control). If you’ve created a useful reporting process or dashboard segment, no one need ever waste time reinventing it.