Occam's Razor

OCTOBER 12, 2017

When you go to the interview, the hiring company will proceed to ask questions that test your competency in the listed job requirements. Test for analytics experience AND explore the level of analytical thinking the job candidate possesses. Here are the collection of books, videos, people and learning opportunities from my sweetspot….

Marketing 138

Marketing Analytics Machine Learning Strategy 138

Occam's Razor

AUGUST 13, 2012

If you want to make the smartest decisions about your budget allocation then leveraging the time tested methodology of media mix modeling (at its core powered by controlled experiments) is the only way to go. This is not a pitch but if you are interested my book Web Analytics 2.0, Good luck Johan!

Modeling 125

Modeling Metrics Data Quality Data-driven 125

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. A revised boundary between the trading book and banking book. Continuous monitoring will be required, and banks will need to conduct back-testing to ensure accuracy.

Machine Learning 55

Machine Learning Risk Risk Management Measurement 55

Domino Data Lab

AUGUST 20, 2019

Many thanks to AWP Pearson for the permission to excerpt “Manual Feature Engineering: Manipulating Data for Fun and Profit” from the book, Machine Learning with Python for Everyone by Mark E. The problem is that a new unique identifier of a test example won’t be anywhere in the tree. Introduction.

Testing 68

Testing Modeling Interactive Measurement 68

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

Occam's Razor

FEBRUARY 22, 2010

These toolbars also collect limited information about the browsing behavior of the customers who use them, including the pages visited, the search terms used, perhaps even time spent on each page, and so forth. Typically, data collected is anonymous and not personally identifiable information (PII). 6: Self-reported Data.

Metrics 124

Metrics Advertising Reporting Data Collection 124

CIO Business Intelligence

APRIL 7, 2023

So what are ways to store, structure, analyze, and disseminate data collected and centralized to develop digital solutions that promote this? This involves overseeing the development of APIs and other integration tools, as well as testing quality assurance for reliability and security.”

Management 98

Management Digital Transformation B2B Marketing 98

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. Your data is yours, there is a very strict privacy policy that governs the storage and access of the data collected.

Measurement 104

Measurement Metrics Consulting Analytics 104

Jet Global

MAY 15, 2020

Book Value Per Share. Price-to-Book Value Ratio. Quick Ratio – This financial metric is commonly referred to as the “Acid Test Ratio” (acid was historically used to determine if gold was genuine or not). Book Value Per Share (BVPS) – This is by far insightsoftware’s preferred valuation KPI. Earnings Per Share.

Metrics 98

Metrics Finance Reporting KPI 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. The case that might be familiar to you is an AB test. A complementary Domino project is available. .

Machine Learning 68

Machine Learning Measurement Modeling Testing 68

IBM Big Data Hub

JUNE 29, 2023

enables manufacturers to conduct real-time data collection and analysis for vast amounts of data, providing them valuable insights into their operations. Manufacturers can also use digital twins to simulate scenarios and test configurations before implementing them. Industry 4.0

Manufacturing 54

Manufacturing Internet of Things Cost-Benefit Digital Transformation 54

FineReport

MAY 18, 2024

Unlike bar charts that represent categorical data, histograms display frequency distributions of continuous variables. In scientific research, histograms are commonly used to illustrate the distribution of test scores among students, providing insights into performance patterns and areas for improvement.

Visualization 52

Visualization Interactive Cost-Benefit Dashboards 52

Depict Data Studio

OCTOBER 31, 2022

When Did You Collect Data? Data collection was cut off on April 25 to begin data processing. Let’s objectively test them. I personally aim for grade level 6 to 8—throughout my blog posts, books, and even contracts. Objectively Scoring the Before/After Translations. Before: 12.1 Grade Level.

Reporting 52

Reporting Data Collection Testing Data Processing 52

Alation

FEBRUARY 17, 2023

In this blog, I’ll address some of the questions we did not have time to answer live, pulling from both Dr. Reichental’s book as well as my own experience as a data governance leader for 30+ years. Can you have proper data management without establishing a formal data governance program? If so, to what capacity?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

FineReport

JUNE 29, 2023

Data Collection The components required for your specific case may vary depending on your goals and the data to be visualized. Generally, the primary objective of any IoT device in a connected environment is data collection. Book a Free Demo What is IoT Dashboard? shows at FineReport first.

IoT 52

IoT Dashboards Visualization Cost-Benefit 52

Sisense

MARCH 18, 2020

User acceptance testing and other best practices can help developers avoid implementing security precautions that are too confusing, are situationally inappropriate, or otherwise inhibit legitimate use. We need to do our best to avoid replicating unconscious human biases by training machines with insufficient data (e.g.

Software 52

Software Machine Learning Internet of Things Risk 52

Occam's Razor

JULY 12, 2010

There are many methods of collecting data depending on the platform you are on, and if Steve Jobs gets upset he can totally shut you down with a mere update of his TOS! :). For those of you who already have my second book Web Analytics 2.0 A really simple UI and reporting layer, even your mom will understand the data.

Analytics 97

Analytics Measurement Metrics KPI 97

Depict Data Studio

APRIL 16, 2019

I worked on a longitudinal study about adolescent development (scheduling participants to come in for data collection interviews, entering data, transcribing interviews, and playing on SAS). Okay, this one deserves its own blog post or book because there are so many ways to improve your visualization’s accessibility.

Visualization 56

Visualization Reporting Statistics Dashboards 56

Domino Data Lab

OCTOBER 23, 2019

As Domino is committed to supporting data scientists and accelerating research, we reached out to Addison-Wesley Professional (AWP) Pearson for the appropriate permissions to excerpt “Predicting Social-Media Influence in the NBA” from the book, Pragmatic AI: An Introduction to Cloud-Based Machine Learning by Noah Gift.

Statistics 59

Statistics Machine Learning Testing Modeling 59

FineReport

JUNE 7, 2023

Quality Assessment : Any quality testing conducted during the project should be reported, along with any identified issues. Choose the Right Visualization Tools: Select appropriate visualization tools, such as graphs, charts, and tables, that effectively represent your data and make it easy to interpret.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

Depict Data Studio

OCTOBER 29, 2019

One of my favourite evaluation instructors is Kylie Hutchinson, who wrote a great book about evaluation failures. I have organized the changes into three main areas: report style and colour schemes, graphs and qualitative data and I will show my work from three different evaluation reports I wrote (2012, 2018 and 2019).

Reporting 40

Reporting Consulting Visualization Data Collection 40

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. Plus blatant overuse of intertextual parataxis.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. There’s a substantial literature about ethics, data, and AI, so rather than repeat that discussion, we’ll leave you with a few resources.

Marketing 364

Marketing Experimentation Metrics Testing 364

O'Reilly on Data

OCTOBER 22, 2020

The safest course of action is also the slowest and most expensive: obtain your training data as part of a collection strategy that includes efforts to obtain the correct representative sample under an explicit license for use as training data. Perhaps they will even inspire you to devise and test a few of your own.

Consulting 360

Consulting Risk Cost-Benefit Modeling 360

Occam's Razor

OCTOBER 19, 2010

As defined in my second book Web Analytics 2.0 the analysis of qualitative and quantitative data from your website and the competition, 2. For more on why I recommend this specific order please see my second book, Web Analytics 2.0 , which many of you already have. Experimentation and Testing Tools [The "Why" – Part 1].

Analytics 136

Analytics Testing Measurement Optimization 136

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. Here’s where I get baffled by people who use words such as agile or lean to describe process for data science.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

APRIL 21, 2014

The mistake we make is that we obsess about every big, small and insignificant analytics implementation challenge and try to fix it because we want 99.95% comfort with data quality. We wonder why data people are not loved. :). Transforming data into insights. You are welcome to consider my book Web Analytics 2.0

Marketing Analytics 132

Marketing Analytics Marketing Analytics Metrics 132

Occam's Razor

OCTOBER 15, 2012

Please visit the about page to learn more about the data collection methodology, sample sizes, and the Enumeration study to ensure results are representative, and to download the detailed questionnaires used for each study. Let's analyze the multichannel research and purchase behavior of book buyers in the US.

Advertising 137

Advertising Marketing Strategy Insurance 137

Occam's Razor

MARCH 23, 2010

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. If you blog that a short on-exit survey or a feedback button is a great way to collect voice of customer, I don't have to be lazy or hyper paranoid and wait for a convincing case study.

Analytics 119

Analytics Consulting Metrics Experimentation 119

Occam's Razor

SEPTEMBER 15, 2014

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. look at that person, give them a hug, then mark them in your book as enemy using red ink. Then approach each separately (even though there are tools like Google Analytics that will do both). Tag your mobile website.

Metrics 143

Metrics Reporting Analytics Marketing 143

Occam's Razor

FEBRUARY 9, 2015

CIA also formed one of five foundational elements in my best-selling book Web Analytics 2.0. Since then, as luck would have it, we have more tools, they are smarter, and have richer data-sets. How is competitive intelligence data collected? Competitive intelligence data will never match your site's analytics tool.

Metrics 156

Metrics Reporting IT Advertising 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. Essential Big Data And Data Analytics Insights. Discover The Best Data Analytics And Big Data Books Of All Time.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often With breaking this bottleneck in mind, I’ve used my time as an Insight Data Science Fellow to build the AIgent, a web-based neural net to connect writers to representation. often without even looking at it.

Modeling 59

Modeling Metadata Publishing Sales 59

Jet Global

JUNE 30, 2021

From day-to-day operational finances to large capital expenditure (CAPEX) budgeting, here are the financial KPIs that the CEO should be keeping an eye on: Quick Ratio (acid test) : CEOs are often put in a position in which they need to quickly check the company’s financial health. More often than not, a CEO will use the quick ratio for this.

Metrics 106

Metrics KPI Dashboards Advertising 106

Jet Global

NOVEMBER 29, 2023

Understanding Our Financial Close and Consolidation Solutions Here are our six tried and tested close and consolidation products that secured us in the Niche Player category. It provides advanced capabilities for data collection, compliance, and reporting, helping your organization ensure accuracy and efficiency in your tax processes.

Reporting 52

Reporting Marketing Management Forecasting 52

Jet Global

MAY 1, 2023

Let’s just give our customers access to the data. You’ve settled for becoming a data collection tool rather than adding value to your product. While data exports may satisfy a portion of your customers, there will be many who simply want reports and insights that are available “out of the box.”

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

O'Reilly on Data

JUNE 16, 2020

Thinking in Bets , Annie Duke’s 2018 book about making decisions under uncertainty, has many analogous examples operating under both risk and uncertainty, such as the infamous 2015 Super Bowl XLIX Seahawks’ decision to pass the ball in the final 26 seconds. This may be true, but the downside risk in this case could be fatal.

Uncertainty 350

Uncertainty Testing Risk Reporting 350