[/caption] CIOs believe that analytics, business intelligence (B.I.) and Big Data will constitute one of the most disruptive technologies in 2013, according to a new survey by Constellation Research. The research firm surveyed 105 CIOs, a relatively small sample size. Of those respondents, 48.73 percent felt that analytics, B.I. and Big Data would become a top disruptive technology in 2013. That lagged behind cloud deployment, which 56.37 percent of surveyed CIOs thought would prove a disruptive technology, and mobile enablement at 60.19 percent. Despite its third-place finish, analytics, B.I. and Big Data managed to place ahead of unified communications and collaboration (41.08 percent), social software enablement (33.44 percent), virtualization (29.62 percent), and “gamification” (12.42 percent). “Despite being the top projects in 2011, the drop in priority of virtualization (51.9 percent-2011) and cloud (69.6 percent-2011) doesn’t reflect lack of interest,” Ray Wang, principal analyst and CEO of Constellation Research, wrote in a May 7 blog posting. “In fact, these projects have matured and innovative CIOs have now prioritized the next wave of innovation.” Which evidently includes technologies associated with analytics and business intelligence. “Big data is hot,” he added. “Today innovative CIOs take the Lytro approach. As with a light field camera where you take the picture first and then focus, big data strategies start with capture the data and find the correlations later.” Driven by companies’ growing need for business-intelligence applications, vendors such as IBM, Google and Hewlett-Packard have rolled out a number of new products in recent months, aimed not only at the enterprise but also small- to midsize businesses. Google, for example, recent debuted BigQuery, which lets users apply what the company calls “SQL-like query language” to analyze massive amounts of data; it features secure SSL access, group- and user-based permissions via Google accounts, and the capacity to scale to trillions of records. IBM, Oracle, and HP have also engaged in high-profile acquisition sprees designed to augment their current business-intelligence offerings, the better to appeal to customers looking for those sorts of solutions. “The gap in profits, innovation, and market share will continue to widen between the companies who adopt disruptive and emergent technologies and those who choose to stay the course,” Wang wrote. “In some sense, average is over and organizations who strive for average will fail to survive.” The key to survival, he believes, lies in organizations’ ability to embrace disruptive technologies such as analytics and Big Data software. CIOs See Big Data as Big Deal by 2013: Survey
[caption id="attachment_858" align="aligncenter" width="418" caption="CIOs believe analytics and Big Data are on the rise, according to a new survey."] [/caption] CIOs believe that analytics, business intelligence (B.I.) and Big Data will constitute one of the most disruptive technologies in 2013, according to a new survey by Constellation Research. The research firm surveyed 105 CIOs, a relatively small sample size. Of those respondents, 48.73 percent felt that analytics, B.I. and Big Data would become a top disruptive technology in 2013. That lagged behind cloud deployment, which 56.37 percent of surveyed CIOs thought would prove a disruptive technology, and mobile enablement at 60.19 percent. Despite its third-place finish, analytics, B.I. and Big Data managed to place ahead of unified communications and collaboration (41.08 percent), social software enablement (33.44 percent), virtualization (29.62 percent), and “gamification” (12.42 percent). “Despite being the top projects in 2011, the drop in priority of virtualization (51.9 percent-2011) and cloud (69.6 percent-2011) doesn’t reflect lack of interest,” Ray Wang, principal analyst and CEO of Constellation Research, wrote in a May 7 blog posting. “In fact, these projects have matured and innovative CIOs have now prioritized the next wave of innovation.” Which evidently includes technologies associated with analytics and business intelligence. “Big data is hot,” he added. “Today innovative CIOs take the Lytro approach. As with a light field camera where you take the picture first and then focus, big data strategies start with capture the data and find the correlations later.” Driven by companies’ growing need for business-intelligence applications, vendors such as IBM, Google and Hewlett-Packard have rolled out a number of new products in recent months, aimed not only at the enterprise but also small- to midsize businesses. Google, for example, recent debuted BigQuery, which lets users apply what the company calls “SQL-like query language” to analyze massive amounts of data; it features secure SSL access, group- and user-based permissions via Google accounts, and the capacity to scale to trillions of records. IBM, Oracle, and HP have also engaged in high-profile acquisition sprees designed to augment their current business-intelligence offerings, the better to appeal to customers looking for those sorts of solutions. “The gap in profits, innovation, and market share will continue to widen between the companies who adopt disruptive and emergent technologies and those who choose to stay the course,” Wang wrote. “In some sense, average is over and organizations who strive for average will fail to survive.” The key to survival, he believes, lies in organizations’ ability to embrace disruptive technologies such as analytics and Big Data software.
[/caption] CIOs believe that analytics, business intelligence (B.I.) and Big Data will constitute one of the most disruptive technologies in 2013, according to a new survey by Constellation Research. The research firm surveyed 105 CIOs, a relatively small sample size. Of those respondents, 48.73 percent felt that analytics, B.I. and Big Data would become a top disruptive technology in 2013. That lagged behind cloud deployment, which 56.37 percent of surveyed CIOs thought would prove a disruptive technology, and mobile enablement at 60.19 percent. Despite its third-place finish, analytics, B.I. and Big Data managed to place ahead of unified communications and collaboration (41.08 percent), social software enablement (33.44 percent), virtualization (29.62 percent), and “gamification” (12.42 percent). “Despite being the top projects in 2011, the drop in priority of virtualization (51.9 percent-2011) and cloud (69.6 percent-2011) doesn’t reflect lack of interest,” Ray Wang, principal analyst and CEO of Constellation Research, wrote in a May 7 blog posting. “In fact, these projects have matured and innovative CIOs have now prioritized the next wave of innovation.” Which evidently includes technologies associated with analytics and business intelligence. “Big data is hot,” he added. “Today innovative CIOs take the Lytro approach. As with a light field camera where you take the picture first and then focus, big data strategies start with capture the data and find the correlations later.” Driven by companies’ growing need for business-intelligence applications, vendors such as IBM, Google and Hewlett-Packard have rolled out a number of new products in recent months, aimed not only at the enterprise but also small- to midsize businesses. Google, for example, recent debuted BigQuery, which lets users apply what the company calls “SQL-like query language” to analyze massive amounts of data; it features secure SSL access, group- and user-based permissions via Google accounts, and the capacity to scale to trillions of records. IBM, Oracle, and HP have also engaged in high-profile acquisition sprees designed to augment their current business-intelligence offerings, the better to appeal to customers looking for those sorts of solutions. “The gap in profits, innovation, and market share will continue to widen between the companies who adopt disruptive and emergent technologies and those who choose to stay the course,” Wang wrote. “In some sense, average is over and organizations who strive for average will fail to survive.” The key to survival, he believes, lies in organizations’ ability to embrace disruptive technologies such as analytics and Big Data software. 
