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Rescooped by Karlo Jara from Big Data & Digital Marketing
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A Comprehensive Guide to Data Management for Businesses

A Comprehensive Guide to Data Management for Businesses | Data Science | Scoop.it

In order to leverage data for your business effectively, you have to first develop a clear understanding of what data is and how you can efficiently make the most out of it. This ultimate guide to data management will help you out.


Via Luca Naso
Luca Naso's curator insight, May 15, 2015 11:03 AM

As organizations become more and more data-driven, it becomes progressively more important to set up a healthy and productive way to manage data.

Here are 4 major steps to follow to help you improve on this:

1. Data Management

2. Data Security

3. Data Quality

4. The Team

-----

1.

Data management is the “administrative process by which the required data is acquired, validated, stored, protected, and processed, and by which its accessibility, reliability, and timeliness is ensured to satisfy the needs of the data users.”Basic pillars are: provisioning, protection, replication and recovery.Evaluate data before engaging in big data analytics.Have a maintenance plan.
2.

Data security must be prioritized by any organization to enable it to function properly and for operations to flow efficiently. It also provides stockholders and executive teams peace of mind of knowing that the information they have stored in their servers will not be easily exploited by hackers or cyber-criminals.
3.

A study conducted by Experian Data Quality shows that outstanding data quality has a direct correlation to an increase in company profits. 4 steps to reduce incidence of human error (cited by 65 percent of organizations to be the main cause of data problems): Identify data entry points, train staff, Automated verification, clean data over time.
4.

Hire a competent team of professionals who know their roles very well: data management supervisor, data entry staff, data analyst, quality and training staff

Rescooped by Karlo Jara from Web analytics, data quality & data governance
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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 Science | Scoop.it

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


Via Ronald van Loon
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 ;


Rescooped by Karlo Jara from Supports for Leadership
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Big Data – how to achieve data quality

Big Data – how to achieve data quality | Data Science | Scoop.it

To Store Data, some attributes regarding the data must be fulfilled. (Heinrich & Stelzer, 2011) defined some data quality attributes that should be fulfilled.


Via Elizabeth E Charles, Mark E. Deschaine, PhD
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