CIO Business Intelligence

JANUARY 2, 2024

He plans to scale his company’s experimental generative AI initiatives “and evolve into an AI-native enterprise” in 2024. But at the end of the day, it boils down to statistics. Statistics can be very misleading. That’s the case for Yi Zhou, CTO and CIO with Adaptive Biotechnologies.

IT 144

IT Cost-Benefit Statistics Consulting 144

FineReport

DECEMBER 11, 2019

Pay attention to the profound influence of social media on consumer behavior; present new consumer behavior characteristics in the new network environment; analyze new hotspot marketing and consumption events. – Head First Data Analysis: A learner’s guide to big numbers, statistics, and good decisions. By Michael Milton.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers. Counter claims?

Experimentation 103

Experimentation Testing Optimization Measurement 103

DataRobot

JANUARY 13, 2022

Data scientists typically come equipped with skills in three key areas: mathematics and statistics, data science methods, and domain expertise. Determining demand, optimal price, and how much of each kind of product to have available when new products enter the market.

ROI 52

ROI Machine Learning Experimentation Data Science 52

Occam's Razor

MARCH 23, 2021

This is very hard to do, we now have a proven seven-step experimentation process, with one of the coolest algorithms to pick matched-markets (normally the kiss of death of any large-scale geo experiment). Now, our Marketing teams know before they spend money if the campaign’s creative will deliver success. Matched market tests.

Analytics 131

Analytics Scorecard Strategy Testing 131

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

Digital Transformation 82

Digital Transformation Cost-Benefit Informatics Data mining 82

DataRobot

JUNE 8, 2021

My lifestyle choices don’t neatly fit into customer categories that marketers have been using for decades. Some marketing campaigns assume that if I’m a fifty-something man purchasing a product for a child, I must be a grandfather. Other misguided marketing campaigns have tried to sell me shampoo or funerals.

Data-driven 98

Data-driven Testing Marketing Experimentation 98

CIO Business Intelligence

MARCH 21, 2022

According to William Chen, Data Science Manager at Quora , the top five skills for data scientists include a mix of hard and soft skills: Programming: The “most fundamental of a data scientist’s skill set,” programming improves your statistics skills, helps you “analyze large datasets,” and gives you the ability to create your own tools, Chen says.

Unstructured Data 130

Unstructured Data Data Analytics Analytics Structured Data 130

DataRobot Blog

JULY 28, 2022

Initially, the customer tried modeling using statistical methods to create typical features, such as moving averages, but the model metrics (R-square) was only 0.5 The first baseline model we created used spectrograms of speech waveform data, statistical features, and spectrogram images. This approach got us to an R-squared of 0.7,

Data Science 72

Data Science Machine Learning Statistics Modeling 72

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. Here are some areas where organizations are seeing a ROI: Text (83%) : Gen AI assists with automating tasks like report writing, document summarization and marketing copy generation.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature. Among these, only statistical uncertainty has formal recognition.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Sisense

JANUARY 21, 2020

You’re working for an ice cream company that is about to market a brand new special-edition flavor. This is an example of Simpon’s paradox , a statistical phenomenon in which a trend that is present when data is put into groups reverses or disappears when the data is combined. It’s time to introduce a new statistical term.

Testing 104

Testing Risk Data-driven Statistics 104

Occam's Razor

SEPTEMBER 19, 2011

Smart Marketers ask themselves these questions very frequently. We have to do Email Marketing. Smart Marketers work hard to ensure that their digital marketing and advertising efforts are focused on the most impactful portfolio of channels. Marketing heaven that is. We have to do Search Engine Optimization.

Measurement 119

Measurement Advertising Testing Marketing 119

Occam's Razor

AUGUST 22, 2011

To assist with that process everything's organized into these sections: ~ Digital Marketing: "What is amazing out there? Digital Marketing: "What is amazing out there? " 11 Digital Marketing “Crimes Against Humanity”. Mobile Marketing and Analytics: Click-to-Call Mobile Ad Campaigns. Be data driven?"

KPI 124

KPI Metrics Measurement ROI 124

Ontotext

APRIL 3, 2024

Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation. It enables you to look at common pathways and see what activities can change behavior, particularly in the marketing world. These are not statistical inferences. What is a customer?

Technology 59

Technology Risk Digital Transformation Measurement 59

Business Over Broadway

MAY 22, 2019

According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT. AI and Marketing (slide): [link]. Power Up Your Marketing Efforts with AI: [link]. So, become data literate.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Jet Global

APRIL 27, 2023

Tax teams of multinational enterprises (MNEs) in the manufacturing industry face increasing challenges to manage business and market risks effectively. The OECD’s two pillar approach includes new taxing rights for certain market jurisdictions along with a global minimum tax aimed at income subject to a rate lower than 15 percent.

Manufacturing 52

Manufacturing Marketing Experimentation Reporting 52

Insight

APRIL 28, 2020

How will they interact with product, engineering, sales, or marketing? You’ll often see the name “data challenge” used when the take-home assignment involves machine learning or statistics or “coding challenge” when the focus is on evaluating a candidate’s software engineering skills. Will they be a strategic thought partner?

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. Identification We now discuss formally the statistical problem of causal inference. We start by describing the problem using standard statistical notation.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Insight

MARCH 12, 2020

The most powerful approach for the first task is to use a ‘language model’ (LM), i.e. a statistical model of natural language. After some experimentation, I landed on a strategy I’ll call ‘warm encoding’: if greater than 1% of tags were in a particular class, I encoded the book as belonging to that class, non-exclusively.

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

APRIL 8, 2013

Experiments come in all shapes and sizes: A marketing campaign. Try to understand your market. Read up on ways that companies are growing their business, from growth hacking to content marketing, and use that as inspiration. Do it now; we'll wait. Form a hypothesis. This is where you get creative. Use best practices.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Occam's Razor

JULY 24, 2018

To name a few: Digital Marketing & Measurement Model | Analytics Ecosystem | Web Analytics 2.0. In all, the Impact Matrix contains 46 of the most commonly used business metrics – with an emphasis on sales and marketing. Ignore the metrics produced as an experimental exercise nine months ago.

Analytics 93

Analytics Metrics Strategy Measurement 93

Occam's Razor

JUNE 4, 2018

I mean developing and inserting a subtle collection of gentle nudges that can help increase the conversion rate by a statistically significant amount. In this post, I want to focus my passion and zero in on something that is difficult to solve for, yet immensely profitable: Inserting a sense of urgency into the shopping process.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Occam's Razor

JANUARY 9, 2012

The real problem is that our management teams lack imagination when it comes to the web, and our marketing executives continue to do TV on Twitter, catalogs on display ads, irrelevant shouting on search, etc. The problem is Marketing and lack of imagination in using the web/digital channels. The problem, it turns out, is not data.

Marketing 140

Marketing B2B Measurement Risk 140

Occam's Razor

JUNE 6, 2007

Experimentation & Testing (A/B, Multivariate, you name it). The book is for CEO's and Marketer's and Search Specialists and Web Designers and User Researchers and Website Administrators and Website Owners and HiPPO's and of course Web Analysts. It is a book about Web Analytics 2.0. Qualitative and quantitative.

Analytics 60

Analytics Metrics Marketing Dashboards 60

AWS Big Data

JULY 3, 2023

Major market indexes, such as S&P 500, are subject to periodic inclusions and exclusions for reasons beyond the scope of this post (for an example, refer to CoStar Group, Invitation Homes Set to Join S&P 500; Others to Join S&P 100, S&P MidCap 400, and S&P SmallCap 600 ). Create an EMR cluster.

Snapshot 83

Snapshot Data Lake Testing Strategy 83

Corinium

APRIL 25, 2019

Most of my days focus on understanding what’s happening in the market, defining overall product strategy and direction, and translating into execution across the various teams. For example auto insurance companies offering to capture real-time driving statistics from policy-holders’ cars to encourage and reward safe driving.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime. But these are not usually amenable to A/B experimentation.

Experimentation 68

Experimentation Sales Metrics Measurement 68

Data Science and Beyond

JULY 22, 2018

Two years later, I published a post on my then-favourite definition of data science , as the intersection between software engineering and statistics. But it wasn’t clear to me how to market myself – my LinkedIn title at the time was “software engineer with a research background” , which is a bit of a mouthful.

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

O'Reilly on Data

MARCH 18, 2020

It seems as if the experimental AI projects of 2019 have borne fruit. Two functional areas—marketing/advertising/PR and operations/facilities/fleet management—see usage share of about 20%. data cleansing services that profile data and generate statistics, perform deduplication and fuzzy matching, etc.—or But what kind?

Enterprise 318

Enterprise Deep Learning Data Governance Risk 318

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

In this post we explore why some standard statistical techniques to reduce variance are often ineffective in this “data-rich, information-poor” realm. Despite a very large number of experimental units, the experiments conducted by LSOS cannot presume statistical significance of all effects they deem practically significant.

Experimentation 40

Experimentation Metrics Statistics Measurement 40

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges.

Management 110

Management Machine Learning Experimentation Metrics 110

CIO Business Intelligence

DECEMBER 6, 2023

And in addition to having generative AI cite the sources of key information, consider ways to highlight elements that are important to double check, like dates, statistics, policies, or precedents that are being relied on. Human reviewers should be trained to critically assess AI output, not just accept it at face value.”

IT 127

IT Risk Management Interactive Modeling 127

The Unofficial Google Data Science Blog

MAY 31, 2016

A geo experiment is an experiment where the experimental units are defined by geographic regions. Such regions are often referred to as Generalized Market Areas (GMAs) or simply geos. This is a quantity that is easily interpretable and summarizes nicely the statistical power of the experiment.

Advertising 42

Advertising Testing Sales Statistics 42

O'Reilly on Data

MARCH 23, 2023

It’s commonly believed that the more parameters, the better; that’s at least a good story for marketing to tell. And it can look up an author and make statistical observations about their interests. Parameters are the internal variables that control the model’s behavior. Again, ChatGPT is predicting a response to your question.

IT 271

IT Modeling Testing Risk 271

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. Tom has tried this with many many Marketers, and its so true: If you have two different pages you want to test, it takes six and a half minutes for you to configure, test (QA) and launch a A/B test. "Experiment or die, there is no try." That's it!

Testing 112

Testing Experimentation Risk Optimization 112

O'Reilly on Data

DECEMBER 9, 2019

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. CI theory was developed around 1937 by Jerzy Neyman, a mathematician and one of the principal architects of modern statistics. M-F) + ?).

Statistics 27

Statistics Uncertainty Risk Marketing 27