by Donald Hammons
This article addresses the utility of the hybrid-agile delivery model designed to provide for rapid innovation,...
by Donald Hammons
This article addresses the utility of the hybrid-agile delivery model designed to provide for rapid innovation, prototyping and deployment specific to new software product development and innovation.
by Prashanth Ashwathram
Making a business intelligence (BI) project successful is a daunting task in itself not just because of the...
by Prashanth Ashwathram
Making a business intelligence (BI) project successful is a daunting task in itself not just because of the complexity and tools involved, but because it requires cooperation from different functional groups, multiple source systems, and gaining user acceptance from groups of users that are often resistant to change.
The challenges add on further when the BI projects are planned to be executed in an onshore-offshore model. There are obviously many positives and benefits from this approach which can make this model a highly successful provided we follow some of the best practices.
by Ron Cruz
One of the challenges facing our clients is a disjointed landscape for their customer-facing business intelligence tools. This...
by Ron Cruz
One of the challenges facing our clients is a disjointed landscape for their customer-facing business intelligence tools. This doesn’t happen in finance as everyone knows where the end product goes (CFO), nor does it happen much in product development. When it comes to customer analytics, many companies struggle with disjointed systems and difficulty getting the data they want. The sentence of, “I think we have that data….somewhere,” is often uttered at companies that have these issues.
by Donald Hammons
This article addresses the utility of the hybrid-agile delivery model designed to provide for rapid innovation, prototyping and deployment specific to new software product development and innovation.
by Prashanth Ashwathram
Making a business intelligence (BI) project successful is a daunting task in itself not just because of the complexity and tools involved, but because it requires cooperation from different functional groups, multiple source systems, and gaining user acceptance from groups of users that are often resistant to change.
The challenges add on further when the BI projects are planned to be executed in an onshore-offshore model. There are obviously many positives and benefits from this approach which can make this model a highly successful provided we follow some of the best practices.
by Ron Cruz
One of the challenges facing our clients is a disjointed landscape for their customer-facing business intelligence tools. This doesn’t happen in finance as everyone knows where the end product goes (CFO), nor does it happen much in product development. When it comes to customer analytics, many companies struggle with disjointed systems and difficulty getting the data they want. The sentence of, “I think we have that data….somewhere,” is often uttered at companies that have these issues.
