Alation

JULY 15, 2022

Data ethics is both an imperative and an opportunity. New regulations covering data privacy and other ethical concerns require that enterprises govern internal data processes according to these new laws. I asked attendees: How often do you think about data ethics? What does data ethics mean to you?

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

bridgei2i

OCTOBER 27, 2020

Using Data Science to Power Demand Generation in the Digital Focused Economy. As the conversation moves towards digital, the new customer journeys create large volumes of data throughout the loop. Marketers need an additional set of skills to skim through the data and provide them with actionable data-driven decision making support.

Data Science 75

Data Science Sales Marketing Data-driven 75

Alation

JUNE 7, 2023

Recognizing it — and even capitalizing on it — requires data. Obviously, your data will tell you. Fortunately, you likely have enough data available to make decisions, unlike during the Great Recession. The challenge, however, is ensuring you can find the data you need, it’s the correct data, and you fully understand the data.

Uncertainty 52

Uncertainty Data Lake Risk Data-driven 52

Occam's Razor

AUGUST 22, 2011

Be data driven?" Six Rules For Creating A Data Driven Boss! Be data driven?" Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. The Ultimate Web Analytics Data Reconciliation Checklist.

KPI 124

KPI Metrics Measurement ROI 124

AWS Big Data

APRIL 28, 2023

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. The following diagram illustrates this architecture.

Interactive 94

Interactive Metadata Data Warehouse Data-driven 94

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. C-level executives and professionals alike must learn to speak a new language - data. The benefit of speaking data, a.k.a. Increasing data literacy is the answer.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Cloudera

DECEMBER 11, 2017

Barriers include regulatory requirements to set up and register as a legal entity, burdensome reporting obligations, restrictions on foreign funding, and limiting the space in which organizations can operate by passing anti-protest laws and cracking down on freedom of speech and or the independence of jurisprudence.

Strategy 40

Strategy Data-driven Reporting Data Processing 40

Occam's Razor

SEPTEMBER 19, 2011

It is also important to point out that I am keeping the data simple purely to keep communication of the story straightforward. Here's the outcomes data for the control version of the experiment. Bonus 2: Google Analytics has a wonderful set of reports called Multi-Channel Funnels. Enough talk, let's play ball!

Measurement 119

Measurement Advertising Testing Marketing 119

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. Modeling live experiment data Data scientists at YouTube are rarely involved in the analysis of typical live traffic experiments.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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. It helps you to amplify what’s proven to work, throw away what isn’t, and tweak the goal-posts when data indicates that they may be in the wrong place.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156