O'Reilly on Data

OCTOBER 22, 2020

Since I work in the AI space, people sometimes have a preconceived notion that I’ll only talk about data and models. So it’s definitely a double-edged sword. When it doesn’t work so well: This is a question a company definitely wants to answer before they’ve provided data or services to a counterparty.

Consulting 297

Consulting Risk Cost-Benefit Modeling 297

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. Link to item 6 on slide 27 is broken, [link] , for Dashboard to measure business impact, can you provide a current link?

Analytics 64

Analytics Measurement Modeling Data-driven 64

Occam's Razor

AUGUST 13, 2012

The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. Yehoshua Coren: Best ways to measure user behavior in a multi-touch, multi-device digital world. What's possible to measure. What's not possible to measure.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Occam's Razor

APRIL 21, 2014

I am having issues prioritizing 1) recommending fixing on site issues affecting real traffic levels versus 2) correcting significant configuration issues in Analytics measuring current site traffic. Even the worst analytics configuration in the world will most likely allow you to measure cart and checkout abandonment rate. Justin Dux.

Marketing Analytics 131

Marketing Analytics Marketing Analytics Measurement 131

Domino Data Lab

JUNE 23, 2019

These measurement-obsessed companies have an advantage when it comes to AI. Google, Facebook, other leaders, they really have set up a culture of extreme measurement where every part of their product experience is instrumented to optimize clicks and drive user engagement. This applies to algorithms and design.

Management 110

Management Machine Learning Experimentation Metrics 110

datapine

AUGUST 29, 2022

Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage. With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community. trillion each year.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

FEBRUARY 4, 2019

The ability to measure results (risk-reducing evidence). These two points provide a different kind of risk management mechanism which is effective for science, specifically data science. Of course, some questions in business cannot be answered with historical data. Lack of data, or data quality issues (silos).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

FEBRUARY 22, 2022

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. A planned BI strategy will point your business in the right direction to meet its goals by making strategic decisions based on real-time data. It’s that simple.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

DataKitchen

JUNE 24, 2021

So we really prioritized the data that we thought had the biggest chance of delivering success in the end. Chapin also mentioned that measuring cycle time and benchmarking metrics upfront was absolutely critical. “It DataOps Enables Your Data Mesh or Data Fabric. Design for measurability.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Alation

FEBRUARY 17, 2023

Reichental describes data governance as the overarching layer that empowers people to manage data well ; as such, it is focused on roles & responsibilities, policies, definitions, metrics, and the lifecycle of the data. In this way, data governance is the business or process side.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Alation

MARCH 5, 2021

How Alation Activates Data Governance. Why is Data Governance Important? As data collection and storage grow, so too does the need for data governance. Where data governance once focused primarily on compliance, the age of big data has broadened its applications. Data Governance Roles.

Data Governance 59

Data Governance Data Quality Dashboards Risk 59

Alation

AUGUST 26, 2021

Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in data collection and volume. Data lineage features.

Metadata 64

Metadata Data Governance Dashboards Software 64