CIO Business Intelligence

JULY 6, 2023

After completing MTech from Indian Statistical Institute, I started my career at Cognizant. We developed multiple products on Sales, Collection, Operations, Credit and implemented products in HR, Finance, and other areas. What do you do to foster a culture of innovation and experimentation in your employees?

Digital Transformation 98

Digital Transformation Experimentation Recreation/Entertainment Technology 98

CIO Business Intelligence

JUNE 28, 2023

Belcorp operates under a direct sales model in 14 countries. 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 105

Digital Transformation Cost-Benefit Informatics Data mining 105

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

Occam's Razor

FEBRUARY 8, 2021

From observing behavior closely, and from my own experimentation and failure, I've noticed consistent patterns in what great employees do and great bosses do. They find the external author of the statistical algorithm I want them to use, and ask them for guidance. They do more research than is required. It is rejuvenating.

Strategy 134

Strategy Statistics Cost-Benefit Marketing 134

The Unofficial Google Data Science Blog

MAY 31, 2016

Observational data such as paid clicks, website visits, or sales can be stored and analyzed easily. A geo experiment is an experiment where the experimental units are defined by geographic regions. The key assumption in geo experiments is that users in each region contribute to sales only in their respective region.

Advertising 43

Advertising Testing Sales Statistics 43

Domino Data Lab

OCTOBER 2, 2019

As data science work is experimental and probabilistic in nature, data scientists are often faced with making inferences. What you’re seeing is a general rule: when two variables share a common cause, they will be correlated (or, more generally, statistically dependent) even when there’s no causal relationship between them.

Machine Learning 68

Machine Learning Measurement Modeling Testing 68

Occam's Razor

JUNE 6, 2007

Experimentation & Testing (A/B, Multivariate, you name it). If you have fifteen years of experience you'll still learn loads from chapters that cover holistic search analytics (internal, SEO, SEM/PPC) and Statistical Significance and Multi Channel Marketing Analytics and Advanced Conversion Rate measurement and more.

Analytics 60

Analytics Metrics Marketing Dashboards 60

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. You are in charge of assessing whether the campaign had an impact on sales. Identification We now discuss formally the statistical problem of causal inference.

Statistics 45

Statistics Optimization Modeling Experimentation 45

Occam's Razor

JULY 24, 2018

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. The Impact Matrix: A Joyous Deep Dive. You see more digital metrics because digital is more measurable. If yes, hurray!

Analytics 95

Analytics Metrics Strategy Measurement 95

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

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. They can’t see across them and say, “This problem in my supply chain will affect my sales.” These are not statistical inferences. What is a customer? What is our product?

Technology 45

Technology Risk Digital Transformation Measurement 45

O'Reilly on Data

JULY 28, 2020

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 364

Marketing Experimentation Metrics Testing 364

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] We waved our finger in the air to select 64, so some experimentation and optimization are warranted at your end if you feel like it. time series, stock prices), sales figures, temperatures, and disease rates (epidemiology). Example 11.6

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Occam's Razor

FEBRUARY 7, 2022

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. And yet, chances are you really don’t know anyone directly who uses experimentation as a part of their regular business practice. Wah wah wah waaah.

Experimentation 103

Experimentation Testing Optimization Marketing 103

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 69

Experimentation Sales Metrics Measurement 69

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. More people than ever are using statistical analysis packages and dashboards, explicitly or more often implicitly, to develop and test hypotheses. Data was expensive to gather, and therefore decisions to collect data were generally well-considered.

Experimentation 62

Experimentation Testing Statistics Metrics 62

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). sales) impact of my brand marketing? What does the diminishing returns curve look like for TV GRPs for our company?

Analytics 133

Analytics Scorecard Strategy Testing 133

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 42

Experimentation Statistics Metrics Measurement 42

Occam's Razor

AUGUST 22, 2011

Build A Great Web Experimentation & Testing Program. Experimentation and Testing: A Primer. Tip #14: Measuring Value of Ecommerce Sales Tools. Tip #9: Leverage Statistical Control Limits. Tip#1: Statistical Significance. Web Analytics Career Advice: Statistics, Business, IT & Mushrooms. Got Surveys?

KPI 125

KPI Metrics Measurement ROI 125

Occam's Razor

SEPTEMBER 13, 2016

Hypothesis development and design of experimentation. If your survey has questions that cease to be relevant, should you ask them again for the sale of consistency as you have done this survey for nine years? Ok, maybe statistical modeling smells like an analytical skill. . + Pattern recognition and understanding trends.

Modeling 128

Modeling Reporting Strategy Consulting 128

Occam's Razor

MARCH 23, 2010

Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. If you don't have a robust experimentation program in your company you are going to die. Part of it fueled by some Consultants. Likely not. That's it.

Analytics 119

Analytics Consulting Metrics Experimentation 119

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. And, they show you historical sales and would buy it again rates. Checkout the Kimbao Sauvignon Blanc you can see sales and would buy it again rates since 2011. Add to Basket!

Strategy 125

Strategy Cost-Benefit Testing Sales 125

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 41

Experimentation Statistics Metrics Measurement 41

Insight

MARCH 12, 2020

sales of Cuckoo’s Calling increased by over 150,000 percent. Using nothing more than a book’s synopsis, the AIgent can surface similar books, genre tags, and sales proxies. for example genre tags, ratings, and sales. If the queried synopsis occurs in a space with very poor recent sales, that doesn’t mean it’s a bad book.

Modeling 59

Modeling Metadata Publishing Sales 59