Mobile Business Intelligence is a growing trend, expected to continually increase into 2014. The number of personnel with access to Mobile BI has steadily increased and has changed the way we use information, and make decisions. BI and analytics have become less of an IT based report and more of an information decision tool for end users.
So, we know that interest and adoption of Mobile BI is growing...
March 5, 2014
Benefits of Mobile Business Intelligence (BI)
by Colin Quinn
February 17, 2014
Bringing the Cloud Down to Earth (BI)
by Colin Quinn
If your business is concerned about having the required skills and resources for installing and managing your business analytics infrastructure, consider a cloud solution from IBM. Not only can you have your business analytics deployments up and running in minutes, but you can also reduce the costs and risks of development and deployment. And because you have several hosting options to choose from, you can get what...
January 28, 2014
What's New in IBM Cognos 10.2
by Colin Quinn
Integrated Scorecards
Mobile TM1
Dashboard Capabilities
Integrated Scorecards
In the latest version of TM1 10.2 a new cube type been introduced into the mix… Scorecarding Cubes. This new features allows end users to display business’ strategies and relationship of key performance indicators (KPIs).
The scorecard enables broader range of users in the business to gain better insight of...
January 23, 2014
7 Steps to Unleash your BI System's True Potential
by Colin Quinn
With social data generating petabytes per day, and instrumented devices becoming the norm, data volume growth is accelerating at an unprecedented pace. Big Data is a growing business trend, with data from unconventional sources having the potential to be business disruptors. The key to successful Business Intelligence adoption is getting your people to use it. Heres 7 key steps to get you started..
Step 1: Focus...
January 13, 2014
Predictive Analytics: "The Challenges and Solutions"
by Colin Quinn
Predictive analytics helps organizations use data in their daily decision-making to substantially improve outcomes.
Yet there are challenges facing current decision makers:
Lack of Insight - into the true cost or value of their unstructured data
Insufficient Access - lack of a data driven approach to problem solving
Inability to Predict - to uncover data patterns and trends
How you can overcome these...