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.

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?

Trinity: A Mindset & Strategic Approach

Occam's Razor

Some of you have heard me speak at a conference , I always have a deep passion and excitement when I talk about the “Trinity” I wax and wane about it and go on and on about how fantastic the “Trinity” is. But it took a comment from Lisa Seaman to make me realize that I had not written about the “Trinity” on this blog. So Lisa asks wisely: “ I’m not sure I ever got what the “Trinity” is.”

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.

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.

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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.

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 241

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 280

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 229

The Travel-Tech Start-up, Seeking to Solve the Tourism Data Challenge.

DataFloq

Since 2006 the travel industry has benefited from the General Transit Feed Specification (GTFS), a standard for how data is accessible across industry stakeholders.

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 205

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 185

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.

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

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.

Dorsey's journey from microblogging pioneer to billionaire

DataFloq

(Reuters) - Jack Dorsey on Monday stepped down as the chief executive officer of Twitter Inc, the social media firm he helped found in 2006 and steered through a high-profile hack and the controversial banning of former U.S.

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 199

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.

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

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

20

New Format for The Bar Chart Reference Page

The Data Visualisation Catalogue

2006). To demonstrate the potential new content structure being implemented on an existing visualisation reference page, here’s an example provided for Bar Charts : Bar Chart. Other names: Bar Graph, Bar Plot. Functions: Comparisons, Rankings Encodings: Length. Description.

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.

Big Data and Metaverse: What Companies Need to Know (Part 1)

DataFloq

Some people think of metaverse and immediately correlate it with the Wii (created by Nintendo), introduced to us back in 2006. The concept of metaverse is revolutionary. When completed, it's expected to be a virtual place where people can work, play, socialize, learn, and shop.

insightsoftware acquires Exago, Bolstering Market Leadership in Embedded Analytics

Insight Software

was founded in 2006 with the objective of helping SaaS providers give their users an easy, flexible, powerful, ad hoc reporting and analytics solution.

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

How The Cloud Made ‘Data-Driven Culture’ Possible | Part 2: Cloud Adoption

BizAcuity

Fact: AWS started the first IaaS service with S3 back in 2006, which is still one of the most popular cloud platforms to date. The story so far-. We had a look at the way in which cloud computing transformed itself through some astonishing innovations in the past decade.

The mainframe is dying: Long live the mainframe application!

CIO Business Intelligence

years after its launch in June 2006. Much has been made of the perilous future CIOs whose organizations rely on mainframes may soon have to navigate, but the reality of mainframe infrastructure’s long-term outlook is a little more nuanced than that, as two recent news announcements attest.

How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2006: Amazon spearheads the cloud initiative, drops EC2 and S3 into the market. Hadoop was developed in 2006. History and innovations in recent times. Cloud technology and innovation drives data-driven decision making culture in any organization.

Top 10 AI graduate degree programs

CIO Business Intelligence

The Machine Learning Department at Carnegie Mellon University was founded in 2006 and grew out of the Center for Automated Learning and Discovery (CALD), itself created in 1997 as an interdisciplinary group of researchers with interests in statistics and machine learning.

Really, What is Metaverse?

Andrew White

Last word: I read “ Synthetic Worlds: The Business and Culture of Online Games ” (2006) by Edward Castronova some time ago. You would be out of step if you didn’t believe the press and hype that metaverse was a hot new thing.

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.

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.