Tag: Business Intelligence

Business Requirements: Not One Size Fits All

The total cost of operations (TCO) of Business Intelligence (BI) systems is often measured in three categories: time-to-completion of projects, on-budget completion of projects, and cost per user of BI applications. There is a key process in every project that impacts all three categories: Business Requirements Engineering.

An effective requirements methodology ensures that project scope is clearly understood and costs accurately estimated. At the same time, when we deliver what users want, usage and adoption of the solution increase the user base. Why then do so many programs not take a closer look and the effectiveness of their approach to this key part of the process?

The Cloud Is Ready for Your Data Warehouse. Are You?

The business world continues to evaluate and implement the cloud for some of its IT requirements. The concept of the cloud as a viable IT storage solution as well as a way to cut costs is gaining momentum. But it might prompt the question: is the cloud the right place for a data warehouse?

This is an interesting question for many, and a problematic question for some.

Oracle Introduces New Mobile BI APP Designer

Oracle BI (OBIEE) has been a laggard in the Mobile BI space up until this point. They have provided only very basic abilities in terms of application design and interaction. It is exciting to see they have stepped up their game with the announcement of their new Oracle BI Mobile App Designer.

Is Amazon’s Redshift a Game Changer?

Now and then new technologies, ideas, and even buzzwords come along that fundamentally change the way people look at the IT game. When Amazon first released Amazon Web Services (AWS) it changed the game of cloud-based data centers by introducing pay-as-you-go pricing for servers and storage. By replacing large up-front capital infrastructure expenditures with much lower costs that people could scale as their businesses grew, Amazon grew their own business by fostering many more entrants into the e-commerce space that in many cases also turned to Amazon logistics and fulfillment services. That was a game changing moment that was definitely a win-win for all parties.

13 Cool Quotes About Data

This blog entry was published on TIBCO Spotfire’s Business Intelligence blog, by Linda Rosencrance, of the Spotfire Blogging Team. Here are 13 of her favorite data quotes – gathered from a number of sources on the web – from CEOs, statisticians, authors and even Sherlock Holmes.

I thought it was really cool!

The State of Business Intelligence: Big 2013 Opportunities

The business impact of BI software and practices have plateaued for some, though 2013 brings huge opportunities with mobile access, according to a BI adoption assessment. BI Scorecard surveyed and assessed 634 business intelligence practitioners “2012 Successful BI Survey,” the sixth installment its annual gauge of adoption and trends.

Webinar July 15: “The Real-World State of the BI Market”

Yellowfin has announced an upcoming webinar, “The Real-World State of the BI Market,” to be conducted on Monday, July 15. They will be reviewing the results of 2013’s Wisdom of Crowds Business Intelligence Market Study – a significant BI industry in-depth research report into major global implementation, usage and technology trends and developments.

To Go Faster, Break the Rules

Another great blog by my good friend, Wayne Eckerson. This opening paragraph should grab your interest…

“I’ve met quite a few BI professionals who privately–and sometimes publicly–confide that they can’t move fast enough to keep their business clients happy. They secretly hope that I’ll wipe away their shame, frustration and guilt by saying they aren’t to blame for this discontent. They want me to indict the business people, saying they are too unreasonable, impatient, cheap, and short-term focused. Now, it’s true that the business people are all these things, and more! But that doesn’t mean the BI team is not at fault.”

Avoiding Big Failure with Big Data

Companies are being pressured on multiple fronts to do something amazing with Big Data. But should the brakes be applied, even slightly, to consider some lessons from the past? Historically, large data warehouse projects failed at surprisingly high rates. How do we learn from these collective past mistakes and increase the odds that Big Data efforts will provide Big Returns?

The Clash of the Titans: Data Scientists vs. Business Intelligence Pros

As if you haven’t already noticed, the world is growing. Quickly.

Okay, it’s not literally expanding at the equator, but the population is developing, the connections among us are ever-increasing and the data generated by this growth is rocketing skyward. As the amount of data increases exponentially, so goes the demand for people who know how to digest this data in direct proportion. Whether big or small, companies thrive on data. It takes data to paint accurate financial pictures, judge the effectiveness of product promotions or analyze sales trends. Amidst the frustrating chaos, two titans have arisen…