on target

Practical Business Intelligence and Decision Support

Thursday Jan 28, 2010

User Analytics: How to visualize information

In previous posts you have seen how to collect User Analytics. In this post you will see how to analyze it through OLAP by mean of simple but illustrative Inquiry. You will see how to generate a relational Data Warehouse to capture User Analytics data and how to create inquiries that satisfy your needs.

 

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Thursday Jan 21, 2010

An Effective Performance Dashboard Template

Dashboards are the preferred user interface to monitor performance. Every day new dashboards are created with different layout and style.

Why reinventing the wheel? Here is a dashboard template that will match most needs. It is simple and effective and adheres to good design principles. You can use it as a guide or simply as source of inspiration.

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Tuesday Jan 19, 2010

User Analytics: How to Collect Data

User analytics can be used to know how your users employ your application: what they usually do, how much data they manage, how they perform different tasks, the difficulties they face ...

In previous posts we have seen the importance of user (usage) analytics and a flexible data model to support your information needs. In this post I will show you how to capture the usage data you need.

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Thursday Jan 14, 2010

Charts & Graphics: 10 excellent books

Charts and graphics are a key component of any business application. Visualizing numeric data let user understand evolution, spot trends and take corrective action when needed.

Here are 10 excellent books that can help you to produce great graphics for your applications and some hints to help you in choosing the best for your profile.


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Tuesday Jan 12, 2010

User Analytics: the Information Model

In previous post I explained the importance of User Analytics and I promised a flexible model to measure application usage. This post is about such model and how to implement it.

 

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Tuesday Jan 05, 2010

User Analytics: Why you need them

No, I am not talking about Web Analytics (used to optimized web pages). If software is your business, User Analytics are as important as Web Analytics and, implementing them before competition can give you a differential advantage.

User Analytics (UA) refers to the skills, technologies, applications and practices for continuous iterative exploration and investigation of software application usage.

Here are some typical answers you would expect from UA:

  • Who are the users of my application? What are their profiles?

  • How often they use my application?

  • How much data / information they manage through my application?

  • Which are the most usual tasks?

  • Which are the most common error?

  • Which is the actual learning curve, which are main obstacles?

  • How long does it take to become proficient with my application?

  • Which users are defeating? Why?


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