IBM Big Data Hub

JULY 10, 2023

Vibration analysis—a component of condition monitoring systems—utilizes vibration sensors to measure frequencies in an asset and detect abnormalities that may indicate a problem. Frequency measures the number of oscillations per unit of time, usually expressed in Hertz (Hz). Accelerometers (e.g., Accelerometers (e.g.,

Optimization 57

Optimization IT Measurement Cost-Benefit 57

Occam's Razor

SEPTEMBER 29, 2009

One of the ultimate excuses for not measuring impact of Marketing campaigns is: "Oh, that's just a branding campaign." It is criminal not to measure your direct response campaigns online. I also believe that a massively under appreciated opportunity exists to truly measure impact of branding campaigns online.

Measurement 128

Measurement Metrics Analytics Marketing 128

O'Reilly on Data

MAY 18, 2020

And last is the probabilistic nature of statistics and machine learning (ML). Because statistics: Last is the inherently probabilistic nature of ML. Data sensitivity also tends to be a helpful measure for the materiality of any incident. And that’s just related to existing laws on the books.

Risk 359

Risk Modeling Data Processing Software 359

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smart Data Collective

MARCH 28, 2022

It can be further classified as statistical and predictive modeling, but the two are closely associated with each other. Data analytics greatly improves decision-making capabilities since they use valid data and statistics to arrive at a decision rather than going by blind faith.

Data Analytics 85

Data Analytics Software Analytics Statistics 85

Data Science 101

JANUARY 15, 2020

We all are familiar with experiments , we read about them in books or newspapers. Reliability: It means measurements should have repeatable results. For eg: you measure the blood pressure of a person. Then after some time, you take the measurement again and there is a huge fluctuation in the result. REFERENCES.

Experimentation 96

Experimentation Statistics Measurement Testing 96

O'Reilly on Data

NOVEMBER 13, 2018

Below are the top search topics on our training platform: Beyond “search,” note that we’re seeing strong growth in consumption of content related to ML across all formats—books, posts, video, and training. There are also many important considerations that go beyond optimizing a statistical or quantitative metric.

Machine Learning 220

Machine Learning Risk Management Statistics 220

DataKitchen

JUNE 7, 2021

Hopefully, with metrics in place, you can show measured improvements in productivity and quality that will win converts. DataOps includes four key objectives: Measure Your Process – As data professionals, we advocate for the benefits of data-driven decision making. Measure Your Process. DataOps Objectives.

Testing 130

Testing IT Measurement Data-driven 130

Smart Data Collective

NOVEMBER 26, 2021

Data analytics refers to the systematic computational analysis of statistics or data. With it, you can measure your key performance indicators quickly and more objectively than traditional methods. It lays a core foundation necessary for business planning. This marketing system is goal-oriented and targeted. Lead Generation.

Marketing 112

Marketing Data Analytics Key Performance Indicator Analytics 112

Smart Data Collective

JANUARY 6, 2021

But the performance data used in recruitment goes beyond statistics like goals, home runs, and passes. The advent of artificial intelligence and big data in sports management makes the measurement of the metrics a lot easier. Performance and training analysis.

Internet of Things 137

Internet of Things IoT Broadcasting Big Data 137

Cloudera

DECEMBER 3, 2021

This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. Uncertainty is a measure of our confidence in the predictions made by a system. Which measures of performance we choose depends upon the nature of the problem. System Design. Model Drift.

Uncertainty 97

Uncertainty Measurement Metrics Risk 97

O'Reilly on Data

JULY 28, 2020

Ethics and Data Science is a short book that helps developers think through data problems, and includes a checklist that team members should revisit throughout the process. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Those are questions that every product team needs to think about.

Marketing 362

Marketing Experimentation Metrics Testing 362

Smart Data Collective

MARCH 5, 2021

Learning from visitor behaviors and using statistics requires a balance between understanding data and understanding marketing. In that sense, a bounce is measured as a failure. Conversion rates aren’t always monetary transactions; you could also count inquiry bookings as conversions on your site, for example.

Metrics 128

Metrics Data Analytics Analytics Advertising 128

BizAcuity

JULY 7, 2020

With respect to developments or changes in inbound markets, gaming data, player statistics, economic recovery speed, and more, adjust and reiterate core strategies. A crucial part of business recovery is to show and reassure people that all the precautionary measures are being taken to ensure safety.

Revenue Optimization 98

Revenue Optimization Measurement Interactive Marketing 98

Juice Analytics

MARCH 30, 2021

Here’s the framework we first outlined in our book Data Fluency : Data fluency is a web of connected elements. Data authors need to be comfortable with core statistical concepts and comfortable with manipulating data. The foundation of getting value from data depends on creating a data fluent culture in your organization.

Cost-Benefit 131

Cost-Benefit Statistics Metrics Dashboards 131

Juice Analytics

MARCH 16, 2021

An alert is commonly defined by the following factors: measure (e.g. Is the change statistically significant ? This is of particular importance when you are measuring deltas. One option is to shift the focus from all the data to emphasizing changes in the most critical data points. Are the parameters well defined?

Dashboards 78

Dashboards Metrics Measurement Visualization 78

Sisense

JANUARY 21, 2020

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. As an example, I’ll present a case from The Book of Why by Judea Pearl. How common is Simpson’s paradox

Testing 104

Testing Risk Data-driven Statistics 104

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Using nothing more than a book’s synopsis, the AIgent can surface similar books, genre tags, and sales proxies. Data Collection The AIgent leverages book synopses and book metadata.

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

AUGUST 22, 2011

Book Articles. Key To Your Digital Success: Web Analytics Measurement Model. " Measuring Incrementality: Controlled Experiments to the Rescue! Barriers To An Effective Web Measurement Strategy [+ Solutions!]. Measuring Online Engagement: What Role Does Web Analytics Play? "Engagement" Interviews.

KPI 124

KPI Metrics Measurement ROI 124

FineReport

JUNE 29, 2023

Advanced levels of IoT analytics dashboards facilitate the identification of statistical trends, enabling the use of data for predictive failure analysis and extracting precise information and correlations from datasets. Book a Free Demo What is IoT Dashboard? shows at FineReport first.

IoT 52

IoT Dashboards Visualization Cost-Benefit 52

Occam's Razor

APRIL 8, 2013

This thought was in my mind as I was reading Lean Analytics a new book by my friend Alistair Croll and his collaborator Benjamin Yoskovitz. First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do. Measure and decide what to do.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

datapine

AUGUST 29, 2022

With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community. Before we delve deeper into the best books for data analytics, here are three big data insights to put their relevance and importance into perspective.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Smart Data Collective

NOVEMBER 25, 2021

The teacher would assign reading, and you would have to ask the librarian to borrow some books for your assignments and sift through those nostalgic library catalogs (yes early Millennials, you’ve been there.). It highlights the need for data encryption and other data security measures. First of all, let’s look into some statistics.

Big Data 98

Big Data Risk Data-driven ROI 98

Domino Data Lab

OCTOBER 2, 2019

This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications by Andrew Kelleher and Adam Kelleher. You’ll measure this effect by looking at a quantity called the average treatment effect (ATE). Introduction.

Machine Learning 68

Machine Learning Measurement Modeling Testing 68

datapine

SEPTEMBER 16, 2022

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. That’s a colossal number of books on visualization. And while some of them we consider the best books on data visualization, some are really not. click for book source**.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

O'Reilly on Data

MAY 27, 2020

Using the new scores, Apgar and her colleagues proved that many infants who initially seemed lifeless could be revived, with success or failure in each case measured by the difference between an Apgar score at one minute after birth, and a second score taken at five minutes. Books, in turn, get matching scores to reflect their difficulty.

Risk 355

Risk Testing Measurement Reporting 355

Occam's Razor

JANUARY 6, 2010

2 Learn basic statistics. For all of the above reasons it is becoming ever more important that you are know atleast Statistics 101. If you have not been exposed to statistics perhaps you can take a class at a local community college or university. A cartoon book? Hello statistical significance ! #3

Analytics 99

Analytics IT Statistics Metrics 99

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. Because individual observations have so little information, statistical significance remains important to assess.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

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. 3) What Are KPI Best Practices? What happens next?

KPI 221

KPI Management Key Performance Indicator Measurement 221

bridgei2i

JUNE 30, 2020

In addition, a survey measurement tool for employees can be added to measure the employee morale and take appropriate action. Stat) in Statistics from the Indian Statistical Institute. Suvodip holds a Master’s Degree (M. In his spare time, Suvodip pursues his other passions – traveling and music! Tune in for more.

Enterprise 98

Enterprise Technology Digital Transformation Manufacturing 98

Occam's Razor

APRIL 4, 2011

In this case, the search improvements are tied to the increase in donations I can make because of sales of my book. All my proceeds from both my books go to charity.) In the same vein not every output that is chock full of numbers in five size font, with pies and tables stuffed in for good measure, is a representation of web reporting.

Reporting 127

Reporting Metrics Dashboards Statistics 127

DataKitchen

MAY 10, 2021

Our approach to data observability is grounded in a methodology called DataOps that we explain in our book, “ The DataOps Cookbook.” The measurement and monitoring of your end-to-end process can serve as an important tool in the battle to eliminate errors. Week after week, it is measured with a million rows.

Testing 214

Testing Manufacturing Data Quality Statistics 214

FineReport

MAY 9, 2023

With so many indicators in the digital era, it’s easy to get caught up in a debate about what you don’t measure against what you do. Use the reports, not file them All of your marketing and advertising campaigns require the use of these statistics and analytics. based on the data you collect and report on.

Reporting 52

Reporting Marketing Advertising Metrics 52

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve comparison of the exposed and unexposed groups would produce an overly optimistic measurement of the effect of the ad, since the exposed group has a higher baseline likelihood of purchasing a pickup truck. Identification We now discuss formally the statistical problem of causal inference. we drop the $i$ index.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Occam's Razor

MARCH 8, 2010

It was a part of my first book, Web Analytics: An Hour A Day. Before we go on please know that top exit pages is a different measurement than top pages that bounce.]. Here the "so what" test not only helps you focus your precious energy on the right metric, it also helps you logically walk through measurement to action.

Metrics 117

Metrics Testing Key Performance Indicator KPI 117

The Unofficial Google Data Science Blog

APRIL 17, 2017

Our rationale was in accord with the views expressed in the online forecasting book by Hyndman and Athana­sopou­los [1], who after mentioning the potential utility of an "explanatory model" write: However, there are several reasons a forecaster might select a time series model rather than an explanatory model. Specifically, see "1.4

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Occam's Razor

OCTOBER 4, 2010

This is a long preamble to tell you that the strategy we normally execute in measurement is wrong. We read books / blogs on Metrics & KPIs and we think we know what to do for an ecommerce site or a blog or support site etc and we start reporting what the blog / book recommended. Guess what's the result?

Reporting 119

Reporting Metrics Sales Strategy 119