Occam's Razor

AUGUST 13, 2012

That means: All of these metrics are off. Mark Tollerman: I've often observed insights to be the sole responsibility of analysts rather than designers, PMs, engineers and execs resulting in fear and lack of understanding of data and therefore increased use of opinion over fact. "Was the data correct?"

Modeling 125

Modeling Metrics Data Quality Data-driven 125

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. Task completion rate : My all time favorite #1 Web Analytics Metric ( booo conversion rate! ). 4Q is for you.

Measurement 104

Measurement Metrics Consulting Analytics 104

Occam's Razor

SEPTEMBER 4, 2012

I'm on the road a lot and to book an upcoming flight, I take out my Samsung Galaxy S3 ( my review + tips ) and type in the name of my favorite website, Travelocity. So here's what they do … within 24 hours I get this sweet email from TripIt… What are the chances that I booked this hotel? No guessing!

Marketing 146

Marketing Data mining Measurement Strategy 146

Occam's Razor

FEBRUARY 25, 2014

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. Yes, cost per click is metric. The metric CPC aside, we do present data like this all the time. Bring insane focus to your data presentation.

Visualization 145

Visualization Key Performance Indicator Dashboards Metrics 145

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

JUNE 28, 2007

I find that there is a bunch of confusion about sampling your data and implications of making that decision (other than that if you sample the data you'll save money). So here's the 411 on data sampling. There are three primary ways of sampling your data. Code Orange : Sampling data collected from each page.

Analytics 74

Analytics Statistics Data Collection Cost-Benefit 74

Occam's Razor

JULY 12, 2010

Please click on the above image for a higher resolution version , including all the other metrics.]. In the last month data was copied off one of my posts 5,616 times, with most of it being content and some of it images. Click on the image for a higher resolution version , along with a peek at other metrics.]. Why is this cool?

Analytics 97

Analytics Measurement Metrics KPI 97

Data Science 101

OCTOBER 31, 2019

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Data Collection.

Data mining 77

Data mining KDD Data Science Forecasting 77

Sisense

APRIL 10, 2020

NLP can be used on written text or speech data. For our example, we will use written text for our comparison of R vs Python for data science. We are surrounded by written text every day: emails, SMS messages, webpages, books, and much more. R vs Python for data science: Digging into the differences.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

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. And there will be expansions on the requirements for managing and monitoring both data lineage and data security.

Machine Learning 55

Machine Learning Risk Risk Management Measurement 55

Depict Data Studio

SEPTEMBER 15, 2020

I would help train their nonprofits on evaluation, data collection, data analysis, and data visualization. I like teaching more than I like writing the actual reports myself.”. ” I was in a book club of fellow data analysts who are self-employed. We’d read a book together every quarter.

Visualization 105

Visualization Consulting Dashboards Reporting 105

FineReport

MAY 31, 2023

Financial Performance Dashboard The financial performance dashboard provides a comprehensive overview of key metrics related to your balance sheet, shedding light on the efficiency of your capital expenditure. While sales dashboards focus on future prospects, accounting primarily focuses on analyzing the same metrics retrospectively.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

FineReport

JUNE 7, 2023

In the subsequent sections, we elucidate the key benefits in detail: Enhanced Project Visibility: Project management dashboards provide a centralized and real-time view of project data, allowing stakeholders to easily monitor and track project progress, tasks, and milestones.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

Alation

NOVEMBER 11, 2021

Let’s take a look at some of the key principles for governing your data in the cloud: What is Cloud Data Governance? Cloud data governance is a set of policies, rules, and processes that streamline data collection, storage, and use within the cloud. This framework maintains compliance and democratizes data.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

FineReport

MAY 18, 2024

In healthcare analytics, box and whisker plots are utilized to compare patient outcomes across different treatment groups, enabling healthcare providers to make informed decisions based on comprehensive data analysis. Consistent formatting and methodologies reduce errors caused by variations in data handling practices.

Visualization 52

Visualization Interactive Cost-Benefit Dashboards 52

FineReport

JULY 4, 2023

For instance, if there is a dip in web traffic, instead of hastily jumping to conclusions such as poor content or inadequate SEO, you can examine traffic source metrics to make more informed decisions and effectively address the issue at hand. Enhancing Decision Quality : KPIs play a pivotal role in making informed decisions.

KPI 52

KPI Key Performance Indicator Dashboards Sales 52

Occam's Razor

APRIL 15, 2019

Bubble Kings most commonly reside in organizations where there is little to no accountability (or misplaced accountability, ex: celebration of vanity metrics). Archetype #4: How they react: In face of negative data, the Curious One asks you questions to understand the why behind what you are presenting. Alan Mulally.

Measurement 80

Measurement Strategy Data Processing Uncertainty 80

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?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

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. What metrics are used to evaluate success?

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

FineReport

JUNE 26, 2023

What specific metrics or aspects of performance do you want to assess? Gather Relevant Data : Collect accurate and relevant data from reliable sources. This may include financial records, sales reports, customer feedback, or any other data that aligns with your performance objectives.

Reporting 52

Reporting Key Performance Indicator Sales Visualization 52

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

O'Reilly on Data

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 364

Marketing Experimentation Metrics Testing 364

Occam's Razor

SEPTEMBER 15, 2014

They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites). In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. 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

Andrew White

JANUARY 9, 2022

Have a look at this and see if this helps: Data, Analytics and AI Form the Foundation of Data-Driven Decision Making. . Can I book you for a team (DA analytics community) session for 30-40min – with exactly this session ? This is the same for scope, outcomes/metrics, practices, organization/roles, and technology.

Analytics 64

Analytics Measurement Data-driven Modeling 64

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. :). I believe these two posts with a collection of some of my favorite metrics will inspire you: 1.

Marketing Analytics 132

Marketing Analytics Marketing Analytics Metrics 132

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. Mongoose Metrics ~ ifbyphone. First Bit Of Context.

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. data collection”) show the “process” steps that a team performs, while the boxes (e.g.,

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

MARCH 23, 2010

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. Metrics like: Multi channel value index. our measurement strategies 2.

Analytics 119

Analytics Consulting Metrics Experimentation 119

Occam's Razor

OCTOBER 14, 2014

But it is often a million times simpler to create your first set of benchmarks using your own data/performance. If you've read my first book Web Analytics: An Hour A Day, you know that I've advocated this strategy since 2008! Couple of other examples of going to your own data to identify your benchmarks.

Key Performance Indicator 135

Key Performance Indicator Metrics Reporting Marketing 135

Occam's Razor

DECEMBER 12, 2016

You got me, I am ignoring all the data layer and custom stuff! But, at the end of the day presence of a Tag Manager communicates to me that the company is serious about data collection and data quality. What one critical metric will help you clearly measure performance for each strategy above? All that is great.

Analytics 142

Analytics Data-driven Strategy Consulting 142

Domino Data Lab

FEBRUARY 4, 2019

These two points provide a different kind of risk management mechanism which is effective for science, specifically data science. Of course, some questions in business cannot be answered with historical data. Instead they require investment, tooling, and time for data collection. Secondly, because stakeholders.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Domino Data Lab

JULY 22, 2019

My colleague, Ben Lorica at O’Reilly, he and I did three large surveys about adoption for ABC, that’s AI, Big Data, and Cloud in enterprise. Also, these surveys, these are mini books: if you want to grab them, they are free downloads. How can you trace that all the way back into the data collection?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Occam's Razor

MAY 27, 2015

This has to be bizarre coming from an author who's only minor claim to fame is data. Look at the right nav on this blog, two best selling books in 13 languages! As all of my proceeds from the books go to charity, this passion for data has allowed me to donate $350,000 to charity since the first book was published.

Marketing Analytics 155

Marketing Analytics Marketing Analytics Advertising 155

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. As of this moment, just 5% of all accessible data is analyzed and used – just think of the potential.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Jet Global

JUNE 30, 2021

A chief executive officer (CEO) key performance indicator (KPI) or metric is a relative performance measure that a CEO will use to make informed decisions. By monitoring financial, operational, and staffing metrics, a CEO is able to identify the strengths and weaknesses of a company and leverage these to their advantage.

Metrics 106

Metrics KPI Dashboards Advertising 106

Jet Global

NOVEMBER 2, 2021

They are often used to get a bird’s eye view of performance and are also known as metrics. University KPIs and metrics will help these education institutions direct their policy formulation and target setting. Effective Data Collection. The most important aspect of good education KPIs lies in effective data collection.

Metrics 52

Metrics Reporting KPI Key Performance Indicator 52