Avoiding the BI strategy of going mobile for mobility's sake

Feb. 09, 2012

The TDWI report, Mobile Business Intelligence and Analytics: Extending Insight to a Mobile Workforce, highlights the lessons gleaned from existing mobile BI and analytic deployments, discusses the challenges -- immediate, imminent and longer term -- of mobilizing BI, and explores the why of BI mobility.

Weave open-source data visualization offers power, flexibility

Feb. 08, 2012

When two Boston-area organizations rolled out an interactive data visualization website last month, it represented one of the largest public uses yet for the open-source project Weave - and more are on the way.

Understanding the Difference Between Performance Indicators and Key Performance Indicators

Feb. 07, 2012

I was planning to write yet another article on key performance indicators because I felt Dashboard Insight needed an up-to-date reference for those who did not practice in performance management. I initially started writing the article, thinking I didn't need any reference material. I've lived through understanding, discovering, and refining measures for the last six years and I felt I could write it solely on experience.

Business intelligence on the move

Feb. 07, 2012

...the traditional Business Intelligence (BI) model is undergoing rapid change with the trends of mobility, social media and consumerisation of IT making BI a more user driven, rather than a data driven process.

Preparing Yourself for the Analytics Job Tsunami

Feb. 06, 2012

This oncoming tsunami of positions requiring analytical skills presents a solid opportunity for business intelligence (BI) professionals. Are you ready for the vast opportunities it will bring? To be able to take advantage of an opportunity, one has to be prepared.

Customer Analytics: A New Lifeline for the Red Cross and Other Nonprofits?

Feb. 03, 2012

Through a partnership with the Wharton Customer Analytics Initiative (WCAI), the Red Cross has linked up with six teams of researchers from around the country, including analytics experts from Baylor University, the University of Pittsburgh and the IBM Watson Research Center who will analyze data from the Red Cross database to develop tools for improving the organization’s outreach efforts.

Managing Big Data: Six Operational Challenges

Feb. 02, 2012

When [the blog poster] first started running programs that dealt with big data — meaning both a lot of data about something or somebody and a lot of things or people to have some data about — big was actually pretty small.

Building Your Own Dashboards?

Sales Pipeline Visual Analysis Dashboard

The sales pipeline visual analysis dashboard is designed for marketing, sales, and executive teams to analyze leads from creation to close and to forecast revenue for the year. There are many ways the data can be looked at and the analysis requirements will change from user to user. For this example, we assume the person who is looking at the data is interesting in seeing it from a high level aggregated view.

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Alexander 'Sandy' Chiang

In this product review I aim to provide the reader with a detailed look at using InetSoft's Style Scope to develop and design dashboards. In demonstrating how to use the product from data to dashboard I will cover the following topics: Style Scope overview, workflow, technology overview, dashboard development, and recommendations

ComponentArt

Learn how you can leverage ComponentArt’s XAML and HTML5 technology to deliver rich, interactive and engaging mobile dashboards to any device: Apple iPad & iPhone, Windows 8 tablets & phones, Android tablets & phones, Blackberry Playbook & phones or any Windows or Mac OS computer. The white paper covers all of the major technology options for delivering mobile BI dashboards, examines the pros and cons of each approach, and provides a detailed description for the selected approach.

Alexander 'Sandy' Chiang
It was difficult to choose the Best Dashboard of 2011. There were three strong candidates, but Mike Moore of West Notifications Group beat them out using Tableau. Mike chose Tableau because he believes he can build beautiful dashboards fast with it! Although Mike used Tableau to build the winning entry, he won because of his data visualization and dashboard design skills.
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