If money talks, then CIOs’ spending habits have a lot to say about the state of Business Intelligence (BI). For the past decade, BI and analytics have been a top investment priority for businesses, but the technology has yet to meet business needs and live up to the promise of BI.
I have been in the tech industry for a long time. Since before Taylor Swift was born, even. Over the years, many innovations have struck me as interesting ideas that would never gain any traction, simply because there was no data infrastructure to support them, or no way to get real business leverage from “innovation.” (Remember smart appliances?)
It was Rumpelstiltskin who had an amazing alchemic device – a spinning wheel – that turned straw into gold. Since then, many companies have attempted to replicate this type of magical transformation, with limited success. But, in all seriousness, business-savvy CIOs are now using enterprise analytics to monetize the vast stores of data generated every day through customer interactions and the businesses itself.
Earlier this week, I blogged about how enterprise business intelligence (BI) can unlock the power of Hadoop, making this open-source big data solution much more accessible to enterprise business users. With this post, I’ll get into some of the details of the necessary enterprise BI solutions architecture.