Cloudera

OCTOBER 18, 2023

In fact, some of the insights presented in this blog have been assisted by the power of large language models (LLMs), highlighting the synergy between human expertise and AI-driven insights. Detect patterns and indicators of potential fraudulent activities using transaction data, customer profiles, and other relevant information.

Cost-Benefit 79

Cost-Benefit Testing Machine Learning Optimization 79

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Occam's Razor

JANUARY 7, 2014

First… it is important to realize that big data's big imperative is driving big action. 12: Almost all reporting is off custom reports. #11: 7: 25% of all analytical effort is dedicated to data visualization/enhancing data's communicative power. #6: Reporting Squirrels vs. Analysis Ninjas.

Data-driven 140

Data-driven Consulting Reporting Marketing 140

DataKitchen

MARCH 8, 2023

These three objectives are interconnected and essential to the success of any data team. Delivering insight to customers without error is critical to the success of any data team. The team must ensure that the data they are working with is clean and accurate and that the analysis created from it is rigorous and reliable.

Analytics 130

Analytics Manufacturing Data-driven Data Analytics 130

CIO Business Intelligence

JUNE 11, 2024

Davis shares this sentiment with other CIOs seeking a seat at the executive table, a change in reporting structure, or, at the very least, recognition beyond IT’s fundamental run-the-business operations responsibilities. What dataops, data governance, machine learning, and AI capabilities are IT developing as competitive differentiators?

IT 108

IT Digital Transformation Broadcasting Business Objectives 108

Occam's Razor

SEPTEMBER 15, 2014

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. Dive into Mobile Reporting and Analysis. Dive into Mobile Reporting and Analysis. Media-Mix Modeling/Experimentation. Dive into Mobile Reporting and Analysis. Tag your mobile website. Everything.

Metrics 141

Metrics Reporting Analytics Marketing 141

Octopai

OCTOBER 26, 2022

Data-driven organizations are a bad idea. Using data to drive your organization is wonderful. But data, at best, can only be a powerful vehicle, or a reliable GPS system. Except sometimes we call organizations “data-driven” when really the data is driving them up the wall. And it should be.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

O'Reilly on Data

OCTOBER 13, 2020

In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing. To support verification in these areas, a product manager must first ensure that the AI system is capable of reporting back to the product team about its performance and usefulness over time.

Management 253

Management Metrics Machine Learning Modeling 253

DataRobot

JUNE 8, 2021

The proposed cognitive benefit of personas is that humans are better at thinking in narratives than abstract data about customers. Unlike personas, however, cluster analysis is data-driven. But despite the allure of a data-driven approach, cluster analysis is arbitrary. Personas are subjectively constructed.

Data-driven 98

Data-driven Testing Marketing Experimentation 98

CIO Business Intelligence

FEBRUARY 21, 2023

“Becoming the best connected brewer is making sure we strengthen the relationships with our customers, consumers, suppliers and employees in a context that’s fully digital,” he says, who reports into the CDO and was previously senior director for global information services. There’s also a growing emphasis on improving team performance.

Digital Transformation 91

Digital Transformation Sales Experimentation Optimization 91

Domino Data Lab

AUGUST 6, 2021

An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. With a framework and Enterprise MLOps, organizations can manage data science at scale and realize the benefits of Model Risk Management that are received by a wide range of industry verticals.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

CIO Business Intelligence

JULY 31, 2023

Just look at the stats:Some 45% of 2,500 executives polled for a May 2023 report from research firm Gartner said the publicity around ChatGPT prompted them to increase their AI investments, 70% said their organization is already exploring gen AI, and 19% are in actual pilot or production mode.

Strategy 92

Strategy Risk Enterprise Risk Management 92

Occam's Razor

OCTOBER 23, 2006

The title of my presentation at the Washington DC Emetrics summit was: Creating a Data Driven Web Decision Making Culture – Lessons, Tips, Insights from a Practitioner. 6 Reporting is not Analysis. # Seven Steps to Creating a Data Driven Decision Making Culture…… Slide 1: Decision Making Landscape.

Data-driven 117

Data-driven Metrics KPI Reporting 117

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

DataRobot

APRIL 19, 2021

Data Scientists Are AI Experts. But for more complex business decisions, including those that use less structured data, we have artificial intelligence systems. Data scientists train the algorithms using datasets that contain curated learning examples. They need data assembly, data science, integration, and visualization skills.

Machine Learning 52

Machine Learning Visualization Data-driven Data Science 52

Alation

SEPTEMBER 28, 2022

The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. In essence, DataOps is a practice that helps organizations manage and govern data more effectively. Monitoring and reporting of processes.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Occam's Razor

JULY 6, 2016

Analysts, honestly, make the world go round when it comes to any successful business – yes, data is that important. Today's post is an adjacent mistake: The cardinal sin of spending too much time with data and in reports! But, perhaps I'm at fault for creating the problem of you spending all your time with data.

Testing 86

Testing Marketing Experimentation Cost-Benefit 86

Occam's Razor

SEPTEMBER 19, 2011

Then they isolated regions of the country (by city, zip, state, dma pick your fave) into test and control regions. People in the test regions will participate in our hypothesis testing. It is also important to point out that I am keeping the data simple purely to keep communication of the story straightforward.

Measurement 119

Measurement Advertising Testing Marketing 119

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. Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Occam's Razor

AUGUST 12, 2013

There are few things more complicated in analytics (all analytics, big data and huge data!) There is lots of missing data. And as if that were not enough, there is lots of unknowable data. The simplest way to start is to look at your Assisted Conversions report in Google Analytics. " low. From a Venn -diagram.

Modeling 161

Modeling Optimization Marketing Interactive 161

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. Then you build a massive data store that you can query for data to analyze. What report would you want to see on conversion attribution that would help you decide where to spend??

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Occam's Razor

MARCH 23, 2010

Javascript tag driven click data processed in the cloud provided through a web based front end that allows you to segment and create meaningful views of the data unique to you. Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. This instant.

Analytics 118

Analytics Consulting Metrics Experimentation 118

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

DECEMBER 9, 2009

It is rare for me to work with a organization where the root cause for their faith based decision making (rather than data driven) was not the org structure. Surprisingly it is often not their will to use data, that is there in many cases. Chapter 14: HiPPOs, Ninjas, and the Masses: Creating a Data-Driven Culture.

Analytics 95

Analytics Data-driven Marketing Sales 95

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Years and years of practice with R or "Big Data." " Years of proficiency in analyzing m campaigns for n channels resulting in production of z reports.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

CIO Business Intelligence

MARCH 7, 2023

Tech companies have laid off over 250 thousand employees since 2022, and 93% of CEOs report preparing for a US recession over the next 12 to 18 months. Some IT organizations elected to lift and shift apps to the cloud and get out of the data center faster, hoping that a second phase of funding for modernization would come.

Digital Transformation 142

Digital Transformation Data Governance Experimentation Machine Learning 142

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. This blog post introduces the notions of representational uncertainty and interventional uncertainty to paint a fuller picture of what the practicing data scientist is up against. Vignette: Data Science at fluff.ai

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Occam's Razor

NOVEMBER 13, 2009

No dragging of the feet, the book starts with a bang by laying out the framework that will be the center of every company that will leverage data (qualitative, quantitative, competitive) on the web. The best WA report, segmentation, site search, SEO & PPC analysis, email, rich media, cookies, data sampling. It was hard.

Analytics 71

Analytics Metrics Measurement Testing 71

O'Reilly on Data

MARCH 23, 2023

There are more that I haven’t listed, and there will be even more by the time you read this report. That statement would certainly horrify the researchers who are working on them, but at the level we can discuss in a nontechnical report, they are very similar. The design of Transformers lends itself to large sets of training data.

IT 271

IT Modeling Testing Risk 271

Occam's Razor

AUGUST 10, 2006

Its goal is not to do reporting. Its goal is not to figure out how to spam decision makers with data. The first component of the Trinity mindset is Behavior analysis , what we traditionally consider clickstream data analysis. We collect all the clickstream data and the objective is to analyze it from a higher plane of reference.

Measurement 99

Measurement Experimentation Metrics Testing 99

Occam's Razor

JANUARY 9, 2012

Now here's another surprise: These rules/insights/mind shifts are not about data! Here's important context (before we get into the rules for revolutionaries)… The Fundamental Web Analytics Problem Is Not Data! Most companies are astonishingly blasé about data and possibilities of measurement.

Marketing 140

Marketing B2B Measurement Risk 140

DataRobot

SEPTEMBER 14, 2021

Becoming AI-driven is no longer really optional. But the reality is that success with AI often falls short: 87% of organizations struggle with long deployment cycles, according to an upcoming report by Algorithmia. And for those that do make it past the experimental stage, it typically takes over 18 months for the value to be realized.

Machine Learning 94

Machine Learning Modeling Experimentation Visualization 94

Occam's Razor

JUNE 6, 2007

Experimentation & Testing (A/B, Multivariate, you name it). What ideas to test first on your site? Benchmarking (exactly how you can do it), impactful actionable executive dashboards (what they should contain), creating a data driven organization. It is a book about Web Analytics 2.0. Clicks and outcomes.

Analytics 60

Analytics Metrics Marketing Dashboards 60

CIO Business Intelligence

MAY 20, 2024

Data was plentiful yet deriving meaning through open dialogue remained elusive. Nevertheless, the ongoing challenge of adapting to the strategies of terrorists and rogue states persists, especially as the volume of data flooding military intelligence capabilities has surged.

Management 104

Management Interactive Measurement Marketing 104