Data visualization, data quality & data governance
311 views | +0 today
Follow
Your new post is loading...
Your new post is loading...
Rescooped by Ronald van Loon from Web analytics, data quality & data governance
Scoop.it!

Free web analytics & tag management data quality audit

Free web analytics & tag management data quality audit | Data visualization, data quality & data governance | Scoop.it


Free web analytics data quality audit

Do you know for sure that you are making the right data driven decisions? Or do you just assume that your web analytics reports are based on correct data?

20% of web analytics data are wrong

Crucial for collecting web data are web analytics tags. These are placed on a website to collect data and send them to a web analytics solution. Based on these data, reports are made. But research actually shows that errors occur in 20% of all web analytics tags, seriously impacting your data quality.


The impact of poor data quality

Gartner study Measuring the Business Value of Data Quality (2011) concluded that:

  • Poor data quality is a primary reason for 40% of all business initiatives failing to achieve their targeted benefits.
  • Data quality effects overall labour productivity by as much as 20%.
  • As more business processes become automated, data quality becomes the rate limiting factor for overall process quality.
Implications

So what are the implications of tagging errors? We have made a list of frequently occurring issues, based on our experiences with our clients:


  • Incorrect attribution of orders and campaigns

To measure the success of your online campaigns, you should have insights in the entire path from an ad to an order. With these data, you can determine which campaigns lead to which orders and make decisions about budgets and optimisation. If these data are wrong, you will often end up investing in the wrong campaigns.


  • Multiple payments to affiliates

If you use affiliates for advertising on the web, incorrectly configured tags can make you pay the wrong party for a click. Double and multiple payments are very common implications of tagging errors.


  • Differences in the number of orders

In practice, it turns out that most companies have a difference of 5 to 25% in the orders in the order management system and those in their web analytics solution. This leads to multiple versions of the truth within your organisation and a mistrust of data.


Free tag audit

Want to see how the status of your web analytics data quality? Sign up for a free web analytics data quality audit with Qmon! This audit contains:

  • Auditing before a release
  • Auditing all orders, browsers, operating systems, devices and tags in your live site
  • Test both tag execution and the data sent to your analytics tool
Sign up for a free tag audit now!

You will find that Qmon doesn’t only improve your web analytics. It improves your entire online business, by simplifying data quality, securing your trust in data and creating an actionable and sustainable focus on increasing business value.


Sign up for your free web analytics audit

more...
No comment yet.
Scooped by Ronald van Loon
Scoop.it!

How Data Visualization Answered One of Retail's Most Vexing Questions

How Data Visualization Answered One of Retail's Most Vexing Questions | Data visualization, data quality & data governance | Scoop.it
But raised a host of new ones.


Sometimes it’s relatively easy to know what your customers are doing. In e-commerce, advances in tracking and analytics have made it possible for retailers to understand what individual customers are doing before they make a purchase, and to gather and analyze hundreds and thousands of data points to identify trends.

Brick-and-mortar stores haven’t had the same advantage.


read full article http://blogs.hbr.org/2014/05/how-data-visualization-answered-one-of-retails-most-vexing-questions/

more...
No comment yet.
Rescooped by Ronald van Loon from All about Visualization & Storytelling
Scoop.it!

Why this "Data Visualization & Storytelling" Topic?

Why this "Data Visualization & Storytelling" Topic? | Data visualization, data quality & data governance | Scoop.it

A straightforward answer would be the famous quote: "A picture worth thousands of words".

 

Here, my aim is to gather and offer the best articles from across the web that I can find on using Data Visualization and Storytelling in business.


I have bunch data visualization and storytelling together since Data visualization is, to me, a great means to perform Storytelling.

Visualization is a medium. It’s not just an analysis tool nor just a way to prove a point more clearly through data.

Visualization is like books. There are different writing styles and categories, there are textbooks and there are novels, and they communicate ideas in different ways for varied purposes. And just like authors who use words to communicate, there are rules that you should always follow and others that are guidelines that you can bend and break...

 

How To Find A Topic: Use the popular Tags panel above or Click on the Filter tab above, and type in a keyword. All the scoops and articles with that keyword will appear.

 

Note: I may occasionally review an article that I find out the either my insights were not giving accurately enough my stand-point.

 

I hope you find many great insights and interesting scoop here.


Via Emeric Nectoux
more...
No comment yet.
Rescooped by Ronald van Loon from Web analytics, data quality & data governance
Scoop.it!

Why CEOs Must Care About Data Quality from analytics? 5%-25% contains tag errors!

Why CEOs Must Care About Data Quality from analytics? 5%-25% contains tag errors! | Data visualization, data quality & data governance | Scoop.it

Why to monitor webanalytics tags & data? 5%-25% contains tag errors!  http://ow.ly/x3w9Z  #Coremetrics #Sitecatalyst #Googleanalytics


Via Ronald van Loon
more...
Ronald van Loon's curator insight, April 12, 2014 4:45 PM

Why is data quality important
Many organisations trust on web analytics data to take very important optimisation and budget allocation decisions. But it appears that 5%-15% of all measured data is not correctly sent to the analytics system due to tagging issues. As a result, web analysts, marketers and other data driven decision makers base their decisions on non-optimal or incorrect web data. Of course, this has a substantial negative impact on your website and sales performance.


6 most common examples of tag issues


1 javascript error

specific URLs cause a Javascript error, not detected previously by tests done by IT.

Impact: The measurements are incorrect and the user experience is bad (possibly influencing conversion)


2 the pageName should be measured at every page
(landing) pages which have in incorrect URL. Campaign marketeer has probably added incorrect parameters to URL
Incorrect: no content is loaded, redirect to 404 page


3 an order should be measured every time the order confirmation page is opened
As it turned out 20% of the time this is not the case
Debug data shows that this was caused by visitors reopening the page after several days causing all kinds of incorrect measurements
Also an internal recovery pages caused measurements to take place in production

4 Search filter is measured in web analytics
The filter on the page is compared to the parameter in the request
Several instance were found where the filter is not measured

Impact: incorrect optimisation of (country) preferences


5 Untagged pages. Pages without a page_Name parameter

There are pages without a page_Name parameter.

Impact: no funnel reports or optimisation possible. Landing page report are incorrect, etc.

6 Chosen products in funnel are not measured anymore at once
The chosen products should be measured. at once they are not measured anymore caused by a change today


Impact: products reports not available, optimisation of the funnel not possible

Read more example details http://ow.ly/vITZH

Ronald van Loon's curator insight, April 12, 2014 5:05 PM

Why CEO's must care about data quality from analytics?
Many organisations trust on web analytics data to take very important optimisation and budget allocation decisions. But it appears that 5%-25% of all measured data is not correctly sent to the analytics system due to tagging issues. As a result, web analysts, marketers, CMO and finally also CFO and CEO base their decisions on non-optimal or incorrect web data. Of course, this has a substantial negative impact on your website and sales performance.


6 most common examples of tag issues that occur in web analytics systems due to execution and process challenges


1 javascript error

specific URLs cause a Javascript error, not detected previously by tests done by IT.

Impact: The measurements are incorrect and the user experience is bad (possibly influencing conversion)


2 the pageName should be measured at every page
(landing) pages which have in incorrect URL. Campaign marketeer has probably added incorrect parameters to URL
Incorrect: no content is loaded, redirect to 404 page


3 an order should be measured every time the order confirmation page is opened
As it turned out 20% of the time this is not the case
Debug data shows that this was caused by visitors reopening the page after several days causing all kinds of incorrect measurements
Also an internal recovery pages caused measurements to take place in production

4 Search filter is measured in web analytics
The filter on the page is compared to the parameter in the request
Several instance were found where the filter is not measured

Impact: incorrect optimisation of (country) preferences


5 Untagged pages. Pages without a page_Name parameter

There are pages without a page_Name parameter.

Impact: no funnel reports or optimisation possible. Landing page report are incorrect, etc.

6 Chosen products in funnel are not measured anymore at once
The chosen products should be measured. at once they are not measured anymore caused by a change today


Impact: products reports not available, optimisation of the funnel not possible

Read more example details  http://ow.ly/x3w9Z 

Ronald van Loon's curator insight, April 14, 2014 3:52 PM

Why CEO's must care about data quality from analytics?
Many organisations trust on web analytics data to take very important optimisation and budget allocation decisions. But it appears that 5%-25% of all measured data is not correctly sent to the analytics system due to tagging issues. As a result, web analysts, marketers, CMO and finally also CFO and CEO base their decisions on non-optimal or incorrect web data. Of course, this has a substantial negative impact on your website and sales performance.


6 most common examples of tag issues that occur in web analytics systems due to execution and process challenges


1 javascript error

specific URLs cause a Javascript error, not detected previously by tests done by IT.

Impact: The measurements are incorrect and the user experience is bad (possibly influencing conversion)


2 the pageName should be measured at every page
(landing) pages which have in incorrect URL. Campaign marketeer has probably added incorrect parameters to URL
Incorrect: no content is loaded, redirect to 404 page


3 an order should be measured every time the order confirmation page is opened
As it turned out 20% of the time this is not the case
Debug data shows that this was caused by visitors reopening the page after several days causing all kinds of incorrect measurements
Also an internal recovery pages caused measurements to take place in production

4 Search filter is measured in web analytics
The filter on the page is compared to the parameter in the request
Several instance were found where the filter is not measured

Impact: incorrect optimisation of (country) preferences


5 Untagged pages. Pages without a page_Name parameter

There are pages without a page_Name parameter.

Impact: no funnel reports or optimisation possible. Landing page report are incorrect, etc.

6 Chosen products in funnel are not measured anymore at once
The chosen products should be measured. at once they are not measured anymore caused by a change today


Impact: products reports not available, optimisation of the funnel not possible


Want to solve your data quality challenge, click here http://ow.ly/x3w9Z ;


Scooped by Ronald van Loon
Scoop.it!

10 Concrete Steps To Take On The Road To Digital Transformation: A Checklist

10 Concrete Steps To Take On The Road To Digital Transformation: A Checklist | Data visualization, data quality & data governance | Scoop.it
These days, it seems like everyone is talking about going "digital." Thanks to the disruptive technologies that have become part of every organization -- social, mobile, analytics and cloud -- the march to digital is happening faster than anyone had ever anticipated. But still, organizations don't become digital enterprises overnight [...]
more...
No comment yet.