We often work with clients to benchmark database performance during the vendor selection process and as a result have become experts at working with the various standardized testing data sets available to the public. Almost anyone who has been involved in a performance test is familiar with the Transaction Processing Performance Council (TPC) test.
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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.
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 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.
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.
So, would you ever even consider putting a data warehouse in the cloud?
With the cloud’s huge capacity, quick deployments and high availability—all at really low costs—it’s hard to ignore the possibilities. Ever since the iOLAP management team told me we were new integration partners with the Amazon Web Services (AWS) Redshift platform, I have been thinking about the cloud-based data warehouse concept.
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.”
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?
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…