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Salesforce.com today announced updates to its Wave Analytics Cloud, which the company first introduced at Dreamforcei n October. The updates will allow users to import and analyze new data sources, build entirely new dashboards, and share insights.
The Wave Analytics Cloud was designed to enable sales reps to interpret large data sets and analyze customer trends through their mobile phones without referring to another machine or expert. Using an advanced computing engine, it eliminates the need of going through a sorting process before analyzing information.
Howard Dresner, chief research officer at Dresner Advisory Services, reiterates that the trend toward on-the-go use is apparent. “We’ve been researching mobile computing and mobile business intelligence (BI) for six years now and have seen its importance grow dramatically since then,” he says. “There are some users that will never use BI on a laptop or desktop, and those numbers will continue to grow. So, mobile-first makes great sense as a forward-thinking approach to usage.”
When I asked my weekly #BIWisdom tweetchat tribe of users, vendors and consultants about their observations and experience with open source in business intelligence their comments that Friday whirled about like dancers. Their tweeted comments from all around the world focused on whether open source is — or will be — a difference-maker in BI solutions.
In our studies in our annual Wisdom of Crowds® Business Intelligence Market Studies, we saw increased interest in open source in 2014 than in prior years. It’s not yet ranked as a high priority among the 22 technology areas that we track in our surveys, but its importance rose in 2014 after years of stagnation. Moreover, respondents’ interest is distributed across industry verticals and geographies.
A #BIWisdom tribe member tweeted an observance that there is also a definite uptick in open source extensions to existing BI solutions.
Editor’s note: Is the growth of mobile business intelligence flat, ready for takeoff or growing beyond expectations? What are the current business preferences for the various mobile apps and platforms? How is cloud computing impacting mobile BI? These and many other trends are revealed in the 2014 Mobile Computing / Mobile Business Intelligence Market Study recently published by Dresner Advisory Services. I spoke with Howard Dresner about the study’s findings and what’s really happening in mobile BI.
Nobody likes audits. But ensuring data quality is foundational to all business intelligence endeavors. How can a business make quality decisions with poor quality data? A tribe member in one of my weekly #BIWisdom tweetchats mentioned he read an article about a survey finding that 80 percent of companies claim they deal with poor data quality, yet less than 52 percent of those companies consider doing a data quality audit. Those statistics sparked a boisterous bunch of tweets with opinions and questions from BI users, consultants and vendors including:
“How could the respondents in that study claim poor quality if they didn’t audit it? Is quality simply a matter of perception?”
“No, it’s not perception. Data quality has been proven to be a dependency for success or failure in BI initiatives – whether or not it’s called out as the underlying factor.”
“So shouldn’t the precursor to any BI initiative be a data quality audit? Otherwise, the outcomes may be flawed.”
“Data quality is important, but it shouldn’t impede the initial progress of self-service data discovery. Then when you have potentially interesting through self-service data discovery, then you add data quality governance.”
“It’s impossible to always have good data on the front end; there are too many exceptions and shortcut coding.”
“But you can’t edit all the data. What about unstructured data and also external data?”
“The idea is to identify the Key Data Elements and focus on those during the audit.”
“The necessity for data quality should depend on the impact of the potential decision.”
“Who is responsible for pushing the audit – IT, line of business, top executives?”
“LOBs need to be able to see where strategic failures come from. If data quality is suspect, then they should demand an audit.”
Last month when I spoke to Carsten Bange, CEO of BARC and co-author of its BI Survey 14, he positioned mobile business intelligence as a trend that generated lots of hype but had experienced little traction in the enterprise.
Yet the latest study on mobile BI by Dresner Advisory Services – which, like BARC, does annual surveys – shows a more consistent interest in mobile business intelligence. While the percentage of respondents who called mobile BI “very important” or “critical” dipped briefly in 2013, Howard Dresner, the firm’s founder and CEO, said the number “recovered and then some” in 2014.
In addition, he said, in 2014 respondents made business intelligence their number two priority for mobile applications, trailing only email. “The ambition moving forward is pretty strong,” he said.
The relative maturity of mobile business intelligence has made companies “more circumspect about it,” Dresner said. “I think they understand it better now, so they are taking a more balanced approach.”
There have been “bumps in the road” along the way to mobile business intelligence, Dresner acknowledged, but he expects to see deployments grow in the next few years as companies make decisions about key application development and infrastructure issues. For example, he believes many organizations are moving toward a hybrid development model that will encompass both HTML5, which facilitates cross-platform development, and native applications, which offer the most robust user experience.