Mobile technologies are enabling every business, every government, and every individual toward better engagement. Enterprise mobility will be a $30 billion market next year with twice as many corporate employees using their own mobile devices as they are today.
How is your data center architected for analytics? Are you still following a 1990s distributed model? Are you having difficulty managing legions of stand-alone servers, as IBM was in 2007? If so, you may want to consider taking a trip back to the future and bringing that processing back to where the source data is—back to the mainframe.
IBM’s acquisition of Cognos meant that the company would be undergoing an inevitable and significant software shift. But rather than just converting everything from Brio to Cognos on the same inefficient server base, IBM decided to also transform its analytics capabilities to a centralized service based on a private cloud model. A private cloud deployed on System z Linux.
In this increasingly complex environment, core business systems and consumer systems are both vital to businesses and cannot run on independent paths. CIOs and IT Architects need to evaluate their IT infrastructure in light of the need for integration of these two types of business systems and based on the growing criticality of customer-facing systems.
Analytics, cloud, mobile and social technologies are leading the strategic direction of businesses today. But the dynamic nature of these technologies means we’ve moved past the days of business as usual.
I’m an avid NY Giants fan, living in the deep cold of Minnesota Vikings territory. And, I love using my DVR for instant replay and recording all the big games. Still, my DVR sits unused most of the time, all the while consuming electricity. (In fact, the National Resources Defense Council estimates that US consumers waste $2 billion per year on electricity when their DVRs aren’t in use.)
A few weeks ago IBM held the largest event ever in Asia: IBM InterConnect. This inaugural event in Singapore brought together over 2500 business and IT leaders from 52 countries to explore how information and technology serve as the catalyst for unleashing innovation. A valuable opportunity for attendees, but we were also able to bring back some great insight for the rest of us.
Over the years, historic trend analysis, forecasting and standardized reporting have all been (and still are) key contributors to value, using business intelligence tools in a data warehouse or data marts. But, today, knowing what happened and why it happened are no longer enough.