datapine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. What happens next?

KPI 221

KPI Management Key Performance Indicator Measurement 221

Data Science and Beyond

APRIL 5, 2021

The initial covid-19 lockdown provided me with extra free time to make the measurement and offsetting of Automattic’s emissions from data centre power use happen. I summarised this work in a post on the company’s blog , and discussed it in an interview with PublishPress.

Experimentation 61

Experimentation Testing Publishing Measurement 61

Jet Global

SEPTEMBER 29, 2021

Provide Access to Quality Data. Q uality data is accurate, relevant, and complete. Although ensuring data collection is accurate and reliable is important, leveraging data for strategic decision-making is essential. Make data accessible to all employees who need it to make decisions. Avoid “Vanity Metrics’.

Data-driven 52

Data-driven Finance Data Collection Metrics 52

Dataiku

APRIL 22, 2022

Enter Frugal AI , a technique that promises the use of less data and less compute power while guaranteeing robustness within the intended field of use for a given AI model.It In this blog series, we will explore Frugal AI from the perspectives of data, design, trust, and sustainability. It's All in a Name.

Experimentation 59

Experimentation Modeling Business Objectives Manufacturing 59

The Unofficial Google Data Science Blog

OCTOBER 31, 2016

By PATRICK RILEY For a number of years, I led the data science team for Google Search logs. We were often asked to make sense of confusing results, measure new phenomena from logged behavior, validate analyses done by others, and interpret metrics of user behavior. I'd like to share the contents of that document in this blog post.

Metrics 107

Metrics Measurement Statistics Data Collection 107

IBM Big Data Hub

FEBRUARY 23, 2024

Marketing and sales: Conversational AI has become an invaluable tool for data collection. It assists customers and gathers crucial customer data during interactions to convert potential customers into active ones. This data can be used to better understand customer preferences and tailor marketing strategies accordingly.

Enterprise 96

Enterprise Interactive Data-driven Key Performance Indicator 96

Cloudera

FEBRUARY 16, 2022

blueberry spacing) is a measure of the model’s interpretability. We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle.

Machine Learning 87

Machine Learning Modeling Metadata Recreation/Entertainment 87

Sisense

OCTOBER 29, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. The data collected by AVs in the U.S.

Machine Learning 90

Machine Learning Data Collection Cost-Benefit Advertising 90

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. These insights can help drive decisions in business, and advance the design and testing of applications.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

The Unofficial Google Data Science Blog

JULY 18, 2023

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Overview Human-labeled data is ubiquitous in business and science, and platforms for obtaining data from people have become increasingly common. That’s the focus of this blog post.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Occam's Razor

JULY 12, 2010

In this blog post I want to share four analytics tools that I have been playing with for a while… tools that solve an interesting problem… tools that point to what might be in terms of our near term analytical future… and in almost all cases they don't even know! It measures how often a blog post is tweeted/retweeted.

Analytics 96

Analytics Measurement Metrics KPI 96

Occam's Razor

MARCH 4, 2008

If you have read my book or my blog you are quite aware of the What and the Why issue. All the quantitative data you and I have from our web analytics tools is really good at helping us understanding the What happened. They have kindly added one more question to the mix that will help measure customer satisfaction! Your choice.

Measurement 104

Measurement Metrics Consulting Reporting 104

datapine

SEPTEMBER 1, 2020

Your Chance: Want to test a market research reporting software? An effective modern means of extracting real value from your research results such as brand analysis, market research reports present and arrange data in a way that is digestible and logical in equal measures through professional online reporting software and tools.

Reporting 247

Reporting Marketing KPI Dashboards 247

Alation

OCTOBER 12, 2022

Companies collect and analyze vast amounts of data to make informed business decisions. From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. So what are the key differences, and what should data users know about them?

Statistics 52

Statistics Sales Testing Marketing 52

Occam's Razor

JUNE 6, 2007

It has been such an amazing journey to write the book, and for it to come up almost exactly a year after I started this blog. Experimentation & Testing (A/B, Multivariate, you name it). The book, like this blog, rips up that definition and provides a expanded and more realistic business focused world view. There I said it.

Analytics 60

Analytics Metrics Marketing Dashboards 60

IBM Big Data Hub

SEPTEMBER 7, 2023

IBM’s watsonx AI and data platform lets you go beyond being an AI user and become an AI value creator. Besides this, we apply a wide range of other quality measures. Test out watsonx.ai The post Building AI for business: IBM’s Granite foundation models appeared first on IBM Blog.

Modeling 102

Modeling Risk Unstructured Data Enterprise 102

O'Reilly on Data

MAY 14, 2020

In addition, the Research PM defines and measures the lifecycle of each research product that they support. The foundation of any data product consists of “solid data infrastructure, including data collection, data storage, data pipelines, data preparation, and traditional analytics.”

Management 363

Management Experimentation B2B Machine Learning 363

datapine

AUGUST 12, 2020

In the process, we will use an online data visualization software that lets us interact with, and drill deeper into bits and pieces of relevant data. Your Chance: Want to test professional business reporting software? Your Chance: Want to test professional business reporting software? Let’s get started.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

Occam's Razor

JANUARY 7, 2007

For some reason there is so much on this blog about the “business side” of things but not much technical stuff. For example for this blog, which is a static site, here is a random url: [link]. Often the job of implementation is left to the friendly neighborhood IT person and your web analytics vendor.

Analytics 93

Analytics Data Collection Reporting Marketing 93

Cloudera

AUGUST 17, 2020

Data Collection Request – A sentence requesting data from the customer. But we have more than just case references to measure knowledge article popularity, we can also pull in another data source, customer views. Testing the Results. The first tests came during the Spark ML model training.

Testing 90

Testing Machine Learning Interactive Metrics 90

IBM Big Data Hub

JUNE 14, 2023

Cloud computing helps organizations manage data collection and storage remotely, eliminating the need for on-premises software and hardware and increasing data visibility in the supply chain. Build and test prototypes right on the shop floor. Enable on-demand manufacturing to streamline inventory management processes.

Manufacturing 72

Manufacturing Technology Internet of Things Cost-Benefit 72

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Cloudera

MARCH 18, 2021

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. At a glance, here are the primary changes FRTB introduces: A shift from value-at-risk (VaR) to an expected shortfall (ES) measure of risk under stress. Operational Impact of FRTB.

Risk 56

Risk Machine Learning Risk Management Measurement 56

datapine

JUNE 13, 2019

So they taste test frequently throughout the whole process. There are also different types of sales reports that will focus on different aspects: the sales performance in general, detailing the revenue generated, the sales volume evolution, measuring it against the sales target pre-set, the customer lifetime value, etc.

Sales 264

Sales Reporting KPI B2B 264

Sisense

JUNE 9, 2021

Like pretty much everything else in the world, football has become more data-driven than ever, so when the 24 teams set out to win the championship on 11 June , you can bet your bottom Euro that each team’s tactics, formation, and training will be shaped by a mountain of data. The same trend has happened in business.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

DataRobot

JULY 8, 2021

In two recent blog posts, I’ve talked about two cornerstones of trusted AI : evaluating model performance and setting up proper operational oversight. Bias might also be a result of data collection or sampling methods that misrepresent ground truth. When it comes to ethical AI, high-minded principles get you only so far.

Machine Learning 52

Machine Learning Modeling Interactive Risk 52

Domino Data Lab

MAY 20, 2021

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. 1988), E-state data (Hall et al.,

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. In our case, every table, every slide that comes from a piece of data, has to pass the so what test. simplification and 2.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

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.

Marketing Analytics 131

Marketing Analytics Marketing Analytics Measurement 131

Occam's Razor

AUGUST 13, 2012

Yehoshua Coren: Best ways to measure user behavior in a multi-touch, multi-device digital world. Yehoshua I've covered this topic in detail in this blog post: Multi-Channel Attribution: Definitions, Models and a Reality Check. What's possible to measure. What's not possible to measure. Let's do this!

Modeling 124

Modeling Metrics Data Quality Data-driven 124

datapine

APRIL 11, 2019

Stephen Few, a leading design consultant, explains on his blog that “when we appeal to people’s emotions strictly to help them personally connect with information and care about it, and do so in a way that draws them into reasoned consideration of the information, not just feeling, we create a path to a brighter, saner future”. Experiment.

Dashboards 169

Dashboards Visualization Data-driven Key Performance Indicator 169

Occam's Razor

OCTOBER 19, 2010

I was reflecting on that recently and thought it was incredible that in all my years of writing this blog I have never written a blog post, not one single one (!!), My goal is to give you a list of tools that I use in my everyday life as a practitioner (you'll see many of them implemented on this blog). Disclosure].

Analytics 135

Analytics Testing Measurement Optimization 135

Cloudera

JUNE 6, 2019

We sometimes refer to this as splitting “dev/test” from “production” workloads, but we can generalize the approach by referring to the overall priority of the workload for the business. This loss of data locality means IT and cluster administrators should pay close attention to network capacity to avoid significant performance degradations.

Metadata 88

Metadata Data Lake Optimization Strategy 88

Occam's Razor

APRIL 19, 2010

The post will end with a Web Analytics Measurement Framework. Point of confusion: Many web analytics tools, like Google Analytics , have a feature that encourages you to measure Goals. It is possible that some Analytics Tool Goals directly measure your business objectives or goals. Web Analytics Measurement Framework.

Metrics 138

Metrics Key Performance Indicator KPI Business Objectives 138

Occam's Razor

MARCH 23, 2010

Too many new things are happening too fast and those of us charged with measuring it have to change the wheels while the bicycle is moving at 30 miles per hour (and this bicycle will become a car before we know it – all while it keeps moving, ever faster). Usually at least a test. And I doubt it is going to happen soon.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Alation

JANUARY 17, 2023

Data would be pulled from various sources, organized into, say, a table, and loaded into a data warehouse for mass consumption. This was not only time-consuming, but the growing popularity of cloud data warehouses compelled people to rethink this process. An example of a data science tool is Dataiku. Author Bio.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

datapine

AUGUST 29, 2022

Most people are aware that companies collect our GPS locale, text messages, credit card purchases, social media posts, Google search history, etc., and this book will give you an insight into their data collecting procedures and the reasons behind them. is one of the greatest on the market.

Big Data 263

Big Data Data Analytics Analytics Data mining 263