The 10 / 90 Rule for Magnificent Web Analytics Success

Occam's Razor

Numerous studies have pointed out that while almost all Fortune 500 companies have great investments in "Web Analytics" they still struggle to make any meaningful business decisions. Most people complain that there are tera bytes of data and giga bytes of reports and mega bytes of Excel and PowerPoint files. Yet no actionable insights, no innate awareness of what is really going on through the clutter of site clickstream data.

Seven Steps to Creating a Data Driven Decision Making Culture.

Occam's Razor

The title of my presentation at the Washington DC Emetrics summit was: Creating a Data Driven Web Decision Making Culture – Lessons, Tips, Insights from a Practitioner. My hope was to share tips and insights that might help companies move from just having lots and lots of data to creating cultures where decisions are made not on gut-feel, or the proverbial seat of the pants, but rather based on data.

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Excellent Analytics Tip#5: Conversion Rate Basics & Best Practices

Occam's Razor

It is only fair to follow up a post titled " Stop obsessing about conversion rate " with this post. Just in case you have not read the Stop Obsessing post that please read that first for more context). Conversion rate is a very important metric, used properly. Here is my point of view on the basics and best practices for measuring conversion rate. Definition first: Conversion rate , in percentage, equals Outcomes divided by Unique Visitors during a particular time period.

Excellent Analytics Tip#1: Statistical Significance

Occam's Razor

We all wish that our key internal partners, business decision makers, would use Web Analytics data a lot more to make effective decisions. How do we make recommendations / decisions with confidence? How can we drive action rather than pushing data? The challenge is how to separate Signal from Noise and make it easy to communicate that distinction. This is where Excellent Analytics Tip #1, a recurring series, comes in. Leverage the power of Statistics.

Excellent Analytics Tip #8: Measure the Real Conversion Rate & "Opportunity Pie"

Occam's Razor

The topic of my speech at the E-consultancy Online Marketing Masterclasses 2006 in London ( sign up here ) is "Conversion Rate Optimization: What, Why, How" While working on one of the slides (Tip # 9) the realization dawned that we measure conversion rate rather sub optimally and in a way that grossly overestimates the improvement possibilities.

Experimentation and Testing: A Primer

Occam's Razor

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). There is a lot on the web about A/B or Multivariate testing but my hope in this post is to give you some rationale around importance and then a point of view on each methodology along with some tips.

Excellent Analytics Tip #7: The Adorable Site Abandonment Rate Metric

Occam's Razor

How many metrics can you call adorable? Site abandonment rate is an adorable metric, to me : ), for these reasons: Money, money, money baby. IMHO there isn't a metric out there that can tell you a lot so quickly and any improvement you make to it will directly and immediately impact the bottom-line. It measures the customer interaction in a very small number of web pages, probably one for cart and two to three for checkout. How many metrics out there can compete with that?

Overview & Importance of Qualitative Metrics

Occam's Razor

Imagine walking into and out of a supermarket. If you did not purchase anything then the supermarket managers probably don't even know you were there. If you purchased something, the supermarket knows something was sold (they know a bit more if you use a membership card). Visiting a website, you leave behind a significant amount of data, whether you buy something or not.

Lab Usability Testing: What, Why, How Much.

Occam's Razor

On this blog we have talked about the importance of the “Why” often. Web Analytics usually simply helps us understand the “What” Clickstream data typically does not tell us why something happened. We have stressed how important it is to know the Why in order to derive actionable insights around customer behavior on the website and outcomes from that behavior. Essentially people do weird stuff on our websites, clickstream won’t tell us why, so we have to ask them why.

Top Ten: Signs You Are A Great Analyst

Occam's Razor

I am often asked what we look for when we hire Web Analysts or what quality do good Analysts possess or how to measure if a resource that already exists is optimal or how to mentor / motivate / guide our more junior Analysts to propel them to become great Analysts. This blog post is an attempt to answer all those questions wrapped into one. We all agree that reporting is not analysis.

KPI 70

Discovery Through Serendipity, Error, and Exaptation

DataFloq

In 1928, Alexander Fleming was researching influenza, when one of his petri dishes became contaminated and started to grow a mold (Ban, 2006). Fleming had noticed that even though the dish had been contaminated, the mold grew in a circle in which no bacteria was found (Ban, 2006).

IT 202

Exclusive-BT takes multi-million pound stake in cyber firm Safe Security

DataFloq

Making its first major third-party investment in cyber security since 2006, BT will be the largest investor in the latest round of funding for Safe Security which helps companies and governments gauge and mitigate cyber risk in real time by aggregating signals from people, processes and technology.

Risk 206

Muk haircare uses data analytics to go deep into the detail

Phocas

Muk is an Australian haircare brand, established in 2006. Its products are designed for hairdressers and include everything from the technical 100 plus range of hair colours to hairdryers and speciality shampoos and conditioners.

Twitter's Dorsey auctions first ever tweet as digital memorabilia

DataFloq

The post, sent from Dorsey's account in March of 2006, received offers on Friday that went as high as $88,888.88

Sales 203

Twitter boss Jack Dorsey's first tweet sold for $2.9 million as an NFT

DataFloq

The tweet - "just setting up my twttr" - was Dorsey's first tweet, made on March 21, 2006. By Elizabeth Howcroft. LONDON (Reuters) - Twitter boss Jack Dorsey sold his first tweet as an NFT for just over $2.9 million dollars on Monday.

IT 166

Shares in companies linked to non-fungible tokens soar

DataFloq

Shares in companies with an online art presence such as Takung Art and Oriental Culture extended gains soon after news that Twitter boss Jack Dorsey sold his first tweet - "just setting up my twttr" dated March 21, 2006 - as an NFT for just over $2.9

Apple's new Macs could revive the PC chip wars, analysts say

DataFloq

The market has been dominated by Intel Corp and Advanced Micro Devices Inc since 2006, when Apple joined most other major computer makers in using chips based on Intel's 'x86' computing architecture. By Stephen Nellis.

Apple to hold Nov. 10 event, analysts expect new Mac computers

DataFloq

The Apple Silicon Macs will mark the start of a transition away Intel Corp , Apple's supplier for laptop and desktop processors since 2006. By Stephen Nellis. Reuters) - Apple Inc on Monday announced a special event for Nov.

IT 157

Why Operationalization is Hard (But It Doesn’t Have to Be)

Dataiku

In 2006, after $150 million invested in R&D, design, and product development, over 1,000 employees involved - and not the least important of them - day and night, the prototype of the iPhone was finally ready for mass production. Flashback to 2004, start year of Project Purple, which would later give birth to a piece of engineering that has shaped the world as we know today: the iPhone.

IT 57

Is 3D Printed Meat the Next Trend in 3D Printed Food?

DataFloq

One of the more intriguing developments to come out of this field is 3D printed food.NASA began researching 3D printed food in 2006 and made a machine that could print pizzas in 2013. 3D printing has seen some remarkable advances over the past few years.

A New VMworld Perspective

Nutanix

There he was up on the big stage at VMworld 2006 general session: my creation, VirtualMan, animated by @JerryChen speaking live with VMware COO, Carl Eschenbach

20

A New VMworld Perspective

Nutanix

There he was up on the big stage at VMworld 2006 general session: my creation, VirtualMan, animated by @JerryChen speaking live with VMware COO, Carl Eschenbach

20

A New VMworld Perspective

Nutanix

There he was up on the big stage at VMworld 2006 general session: my creation, VirtualMan, animated by @JerryChen speaking live with VMware COO, Carl Eschenbach

20

A New VMworld Perspective

Nutanix

There he was up on the big stage at VMworld 2006 general session: my creation, VirtualMan, animated by @JerryChen speaking live with VMware COO, Carl Eschenbach

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Why Memory-Centric Architecture Is The Future Of In-Memory Computing

DataFloq

based on their studies in 2006, in-memory databases tended to perform more efficiently with large data sets than on-disk systems. Loading data into memory before processing it has always been the way that programs in the past have utilized RAM. One of the things that we've learned over the years is that having a database in memory makes for the fastest level of performance possible. According to Aleahmad et al.

OLAP 165

PCI Data Security: Challenges and Best Practices

DataFloq

In 2006 The Payment Card Industry Security Standards Council (PCI SSC) was formed to mandate the development of the PCI DSS. Not all data is created equal. Long ago the finance industry realized that credit card data was a special case - a type of data that needs to be protected at all costs, along with the entire data delivery and payment processing chain. Money has always attracted criminal attention, but in the digital age, criminals are less focused on stealing cash at gunpoint.

FanRuan Recognized with Honorable Mention in the Magic Quadrant for ABI Platforms

FineReport

FanRuan , founded in 2006, is a professional big data BI and analytics platform vendor in China.

CRM’s Have a Big Data Technical Debt Problem: Here’s How to Fix It

Smart Data Collective

Created in 2006, Snapshot was the first CRM management solution designed specifically for Salesforce and was one of the first Apps to be offered on the Salesforce AppExchange. Customer relationship management (CRM) platforms are very reliant on big data.

What’s wrong with the term data literacy? Here’s an alternative

Jen Stirrup

In 2006, Professor Dame Black was contacted by Metropolitan Police in London, after evidence showed that a young girl had accused her father of abuse. Data Literacy is another buzzword that gives me some discomfort. I prefer the term data fluency, and I’ll explain why later.

Data Driven Digital Transformation

Corinium

It usually plays its cards close to the chest, but in 2006, Jeff Bezos revealed that an incredible 35% of sales were a direct result of cross-sells. Over the last few years, there has been a lot of focus on Digital Transformation, which is not a new concept. In the last decade or so, the focus was on paperless offices, work place mobility, which is what I would classify as Digitization.

Multi-Vendor Hybrid Cloud Solution

Nutanix

Ever since AWS took off in 2006, cloud computing has been growing in maturity and adoption. The adoption rates have steadily been increasing, and in its 2015 State of the Cloud report, RightScale found that 93% of organizations have already adopted cloud in some form – private, public or hybrid

Multi-Vendor Hybrid Cloud Solution

Nutanix

Ever since AWS took off in 2006, cloud computing has been growing in maturity and adoption. The adoption rates have steadily been increasing, and in its 2015 State of the Cloud report, RightScale found that 93% of organizations have already adopted cloud in some form – private, public or hybrid

Multi-Vendor Hybrid Cloud Solution

Nutanix

Ever since AWS took off in 2006, cloud computing has been growing in maturity and adoption. The adoption rates have steadily been increasing, and in its 2015 State of the Cloud report, RightScale found that 93% of organizations have already adopted cloud in some form – private, public or hybrid

More datasets for teaching data science: The expanded dslabs package

Simply Statistics

2006 via NOAA. Introduction. We have expanded the dslabs package , which we previously introduced as a package containing realistic, interesting and approachable datasets that can be used in introductory data science courses. This release adds 7 new datasets on climate change, astronomy, life expectancy, and breast cancer diagnosis.

How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates.

IDC: FanRuan ranks No.1 in China’s BI market share in H1 2019

FineReport

Since its establishment in 2006, FanRuan has insisted on independent innovation and has been committed to creating a high-quality product ecosystem.

Explore the Worlds of Startups and Science with AI Experience Worldwide Speakers Alexis Ohanian and Bill Nye

DataRobot

Alexis co-founded Reddit out of college, which was funded by Y Combinator in 2005 and sold to Conde Nast in 2006. AI Experience Worldwide , our free virtual conference, is just a few weeks away.

Multi-Vendor Hybrid Cloud Solution

Nutanix

Ever since AWS took off in 2006, cloud computing has been growing in maturity and adoption. The adoption rates have steadily been increasing, and in its 2015 State of the Cloud report, RightScale found that 93% of organizations have already adopted cloud in some form – private, public or hybrid

Building a Named Entity Recognition model using a BiLSTM-CRF network

Domino Data Lab

In this blog post we present the Named Entity Recognition problem and show how a BiLSTM-CRF model can be fitted using a freely available annotated corpus and Keras. The model achieves relatively high accuracy and all data and code is freely available in the article. What is Named Entity Recognition?

The Role of Theory in Data Analysis

Simply Statistics

When I wrote my first paper on reproducibility in 2006 the reaction was hardly one of universal agreement. In data analysis, we make use of a lot of theory, whether we like to admit it or not. In a traditional statistical training, things like the central limit theorem and the law of large numbers (and their many variations) are deeply baked into our heads. I probably use the central limit theorem everyday in my work, sometimes for the better, and sometimes for the worse.

Analytics On The Bleeding Edge: Transforming Data's Influence

Occam's Razor

From 2006: Is Real-Time Analytics Really Relevant? ). Analytics teams are named for the silos and limitations within which they trap themselves. Paid Media. Owned Media. Customer Service. Data Warehousing. Email. And, a thousand other silos (depending on your company size).

The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

Williams, Journal of Post Keynesian Economics, Fall 2006. An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. In this blog post, we explore three types of errors inherent in all financial models, with a simple example of a model in TensorFlow Probability (TFP). Finance is not physics.

Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

Ontotext

In case you missed the party, travel back to 2015 or to 2006 or maybe to the moderately noisy one in 1999. In this article, we argue that a knowledge graph built with semantic technology (the type of Ontotext’s GraphDB) improves the way enterprises operate in an interconnected world.