CIO Business Intelligence

APRIL 27, 2023

At this time of dynamic business and market changes, uncertainty, and quickly evolving consumption models for IT infrastructure, every IT executive understands the benefits and necessity of network agility. We’ve seen how it can gather and organize telemetry data collected from all parts of a company’s network.

Management 98

Management Internet of Things Cost-Benefit Uncertainty 98

Occam's Razor

APRIL 8, 2013

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. 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. That metric is tied to a KPI.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

O'Reilly on Data

MARCH 31, 2020

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.”

Management 332

Management Machine Learning Experimentation Metrics 332

Jet Global

JANUARY 22, 2020

Much of the financial reporting process, including data collection, integration, analysis, and visualization, can now run on autopilot. They’ve identified their most important performance metrics and report on those at the exclusion of all others. Making Decisions Based on Sub-Optimal Information.

Reporting 78

Reporting Snapshot Data-driven Uncertainty 78

IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. A pain point tracker (a repository of business, human-centered design and technology issues that inhibit users’ ability to execute critical tasks) captures themes that arise during the data collection process.

Data-driven 91

Data-driven IT Measurement Cost-Benefit 91

Occam's Razor

APRIL 15, 2019

Bubble Kings most commonly reside in organizations where there is little to no accountability (or misplaced accountability, ex: celebration of vanity metrics). Archetype #3: How they react: Their trigger instinct in face of factual negative data is to make excuses. To provide context. To identify circumstances to blame. Life is short.

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

Domino Data Lab

JULY 22, 2019

The problems down in the mature bucket, those are optimizations, they aren’t showstoppers. You know, typically, when you think about running projects, running teams, in terms of setting the priorities for projects, in terms of describing, what are the key metrics for success for a project, that usually falls on product management.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109