Smart Data Collective

OCTOBER 1, 2022

Much like Wimbledon, Verstappen’s Red Bull team look to involve their fans more by providing them with the latest statistics and behind-the-scenes access across its website and social media channels.

Big Data 130

Big Data Statistics Metrics Analytics 130

Smart Data Collective

NOVEMBER 26, 2021

Data analytics refers to the systematic computational analysis of statistics or data. Data analytics make up the relevant key performance indicators ( KPIs ) or metrics necessary for a business to create various sales and marketing strategies. Consequently, you can make smarter decisions and hit your metrics and overall business goals.

Marketing 112

Marketing Data Analytics Key Performance Indicator Analytics 112

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

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

Smart Data Collective

JANUARY 6, 2021

But the performance data used in recruitment goes beyond statistics like goals, home runs, and passes. However, limitations with standard analytical models t can keep them from assessing and recording those metrics. Performance and training analysis.

Internet of Things 137

Internet of Things IoT Broadcasting Big Data 137

DataKitchen

JUNE 7, 2021

Hopefully, with metrics in place, you can show measured improvements in productivity and quality that will win converts. Statistical process controls allow the data analytics team to monitor streaming data and the end-to-end pipeline, ensuring that everything is operating as expected. How can one get started given these limitations?

Testing 130

Testing IT Measurement Data-driven 130

Occam's Razor

MARCH 8, 2010

Like good little Reporting Squirrels we collect and stack metrics as if preparing for an imminent ice age. In this case its making right choices about the web metrics we knight and sent to the battle to come back with insights for our beloved corporation to monetize. It was a part of my first book, Web Analytics: An Hour A Day.

Metrics 117

Metrics Testing Key Performance Indicator KPI 117

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

Cloudera

DECEMBER 3, 2021

There are a number of metrics that can be used to measure the performance of a system; they include accuracy, precision and F-score to name only three. Tracking key metrics and statistical distributions over time and alerting humans when either of these significantly drift can ensure that systems remain performant and fair.

Uncertainty 99

Uncertainty Measurement Metrics Risk 99

Occam's Razor

SEPTEMBER 29, 2009

Remember: Engagement is not a metric, its an excuse. ]. The ideal metrics for this desired outcome are Visitor Loyalty & Visitor Recency. You can compute two important metrics: Likelihood to Recommend / Brand Lift. There are a number of wonderful metrics you can use to measure online success of such marketing campaigns.

Measurement 128

Measurement Metrics Analytics Marketing 128

Juice Analytics

MARCH 16, 2021

One client explained to us that fluctuations in many of their metrics make monthly alerts too frequent—it would unnecessarily alarm people when, from their perspective, no significant trend had been established. ? Is the change statistically significant ? Is the timing of the alerts actionable? Is the alert actionable?

Dashboards 78

Dashboards Metrics Measurement Visualization 78

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. Book Articles. "Engagement" Is Not A Metric, It's An Excuse. Defining a "Master Metric", + a Framework to Gain a Competitive Advantage in Web Analytics. Overview & Importance of Qualitative Metrics.

KPI 124

KPI Metrics Measurement ROI 124

Sisense

JANUARY 21, 2020

One of the simplest ways to start exploring your data is to aggregate the metrics you are interested in by their relevant dimensions. 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.

Testing 104

Testing Risk Data-driven Statistics 104

Occam's Razor

MARCH 23, 2021

In our in-flight optimization journey thus far, we have worked to identify signals that are believable, and identifying at which point they become believable (ex: statistically significant). The benchmark for the beautiful metric AVOC is 15.3%. There is so much packed in each box, I could write a 98-page book for each. :).

Analytics 131

Analytics Scorecard Strategy Testing 131

FineReport

MAY 9, 2023

As a result, you’ll be able to understand key metrics better and lay the groundwork for increasing conversions as a result. Threfore, you want to focus on the most important metrics and a project overview that is concise and to the point in the summary. Marketing KPIs are a good starting point for you.

Reporting 52

Reporting Marketing Advertising Metrics 52

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

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. Not sure where to start?

Visualization 304

Visualization Dashboards Data-driven Statistics 304

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

Sisense

APRIL 10, 2020

We are surrounded by written text every day: emails, SMS messages, webpages, books, and much more. R is a tool built by statisticians mainly for mathematics, statistics, research, and data analysis. There are many performance metrics to evaluate performance of Machine Learning models. R: Analytics powerhouse.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

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

Occam's Razor

JANUARY 6, 2010

2 Learn basic statistics. No longer can tools or "analysts" just puke 15 metrics on a report and hope to survive. For all of the above reasons it is becoming ever more important that you are know atleast Statistics 101. Alternatively get one of the simpler books on the topic and immerse yourself in self education.

Analytics 99

Analytics IT Statistics Metrics 99

Data Science 101

OCTOBER 31, 2019

A definition from the book ‘Data Mining: Practical Machine Learning Tools and Techniques’, written by, Ian Witten and Eibe Frank describes Data mining as follows: “ Data mining is the extraction of implicit, previously unknown, and potentially useful information from data. Regression.

Data mining 77

Data mining KDD Data Science Forecasting 77

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.) Also mere existence of statistics is not sufficient. I think this statement is in both my books. "All extra smiles per month! Be creative.

Reporting 127

Reporting Metrics Dashboards Statistics 127

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? Bernard Marr.

KPI 221

KPI Management Key Performance Indicator Measurement 221

FineReport

DECEMBER 29, 2021

Metrics dashboards enable you and your team to track the effectiveness of various tactics, campaigns, and processes. These KPI metrics are critical data to analyze and evaluate a company’s sales, human resources, and marketing, and operational activities. Dashboard metrics from FineReport. What is dashboard metrics.

KPI 52

KPI Metrics Dashboards Key Performance Indicator 52

O'Reilly on Data

MAY 27, 2020

Below the windows on one long side of the room sat books in colorful bins—hundreds of them, a class library. Books, in turn, get matching scores to reflect their difficulty. It’s a core role of librarians and teachers to know their students and to recommend interesting books, he wrote. But the Lexile system’s inventor, A.

Risk 355

Risk Testing Measurement Reporting 355

Jet Global

MAY 15, 2020

A financial Key Performance Indicator (KPI) or metric is a quantifiable measure that a company uses to gauge its financial performance over time. These three statements are data rich and full of financial metrics. Book Value Per Share. Price-to-Book Value Ratio. The Fundamental Finance KPIs and Metrics – Cash Flow.

Metrics 98

Metrics Finance Reporting KPI 98

Occam's Razor

OCTOBER 4, 2010

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. If you are unique, why should you crack open a standard analytics tool with its standard reports and metrics and get going?

Reporting 119

Reporting Metrics Sales Strategy 119

Occam's Razor

JUNE 6, 2007

I am thrilled to say that my book Web Analytics: An Hour A Day has been published and is now widely available. 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. Damini, Chirag and now the book! :). Part One: The book (my side of the story, details).

Analytics 60

Analytics Metrics Marketing Dashboards 60

The Unofficial Google Data Science Blog

JUNE 30, 2016

Identification We now discuss formally the statistical problem of causal inference. We start by describing the problem using standard statistical notation. The field of statistical machine learning provides a solution to this problem, allowing exploration of larger spaces. For a random sample of units, indexed by $i = 1.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Alation

MAY 24, 2022

To some it means profiling statistics, like min, max, median, and null; to others it means producing an aggregate quality score that can be interpreted as good or bad. Data Profiling — Statistics such as min, max, mean, and null can be applied to certain columns to understand its shape. are five digits to meet standards.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Smart Data Collective

AUGUST 4, 2022

Chris Westfall , the author of numerous books on management, thinks that poor communication between managers and employees is a serious issue affecting numerous businesses. Performance and productivity fluctuate and you need real-time insights into these metrics to better understand overall employee performance.

Data-driven 130

Data-driven Metrics Software Data Collection 130

The Unofficial Google Data Science Blog

AUGUST 27, 2019

Of course, any mistakes by the reviewers would propagate to the accuracy of the metrics, and the metrics calculation should take into account human errors. If we could separate bad videos from good videos perfectly, we could simply calculate the metrics directly without sampling. The missing verdicts create two problems.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

Occam's Razor

JANUARY 9, 2012

If you are doing lame stuff, why try harder in an analytics context by asking for Economic Value or Visitor Loyalty or Conversation Rate or a thousand other super powerful and insightful metrics ? It could also make a few more dollars constantly pimping my two books in posts. Fill it with the best web metrics to measure success.

Marketing 140

Marketing B2B Measurement Risk 140

O'Reilly on Data

OCTOBER 11, 2022

We can see what books and courses our customers are using, and for how long. We know if customers only read the first chapter of some book, and can think about what how to improve it. Books can sit on shelves or in warehouses for a long time before they come back as returns. All three have upcoming books from O’Reilly.

Data Integration 291

Data Integration Insurance Dashboards Modeling 291

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Our approach to data observability is grounded in a methodology called DataOps that we explain in our book, “ The DataOps Cookbook.” Statistical Process Control. Focus on the process.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Peter James Thomas

AUGUST 12, 2018

There is also (as referenced by Neil in his comments above) the delayed booking of transactions in order to – with the nicest possible description – smooth revenues. Pertinence and fidelity of metrics developed from Data. Metrics are seldom reliant on just one data element, but are often rather combinations.

Metrics 49

Metrics Statistics Data Quality Measurement 49