CIO Business Intelligence

MAY 18, 2023

This step-by-step guide to designing a high-functioning organization helps you understand four team types and interaction patterns and helps you to type and build it. “It By defining team types, their fundamental interactions, and the science behind them, you learn how to better model your organizations according to these definitions.

IT 130

IT Software Recreation/Entertainment Technology 130

Smart Data Collective

APRIL 5, 2019

Big data is playing a more important role than ever in fine-tuning the relationship between customers and brands. The Complex Role Between Big Data and Social Listening Tools. The majority of consumers who have good interaction with a brand on social networks are more likely to recommend that brand to others.

Big Data 79

Big Data Interactive Data-driven Metrics 79

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

John Wheeler

NOVEMBER 25, 2020

The shift in the IRM buyers from IT leaders to business leaders is being driven by an increasing need to better understand the tactical view of technology risks in a strategic business context. This is primarily driven by an increasing need to better understand the tactical view of technology risks in a strategic business context.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

Peter James Thomas

AUGUST 12, 2018

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. A number of factors can play into the accuracy of data capture. Honesty of Data that is captured. Timing issues with Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. ML model interpretability and data visualization. back to the structure of the dataset.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

JULY 26, 2010

Suggestions that might increase the probability that you'll bump into things that might be insightful, and communicate data more effectively. The data is easily available in the web analytics tool so why not. Get the data out of the crm / erp / "backend" system. Here we go. #1: 1: Go as deep as you can.

Metrics 96

Metrics Measurement Dashboards Reporting 96