IBM’s Watson Will Change Your Data Analytics – but How?March 25, 2014
IBM is focusing on real-world use cases for its Watson technology. Enterprises are sure to follow. Where are some logical areas to put Watson to work?
How Qualitative Research Can Improve Your Business AnalyticsFebruary 18, 2014
While qualitative analytics is more popular in academia than in business, it can help enterprises improve their more traditional quantitative analytics.
Agile Insights into Predictive AnalyticsJanuary 19, 2014
Three common organizational issues can derail the effective use of predictive analytics. What can enterprises do to avoid these issues?
Big Data: What Will You Do for an Encore?November 27, 2013
Organizations that want to keep deriving benefits from Big Data after the initial implementation will create a customer-driven analytical process, with an architecture to support it.
No Hadoop Expert? No ProblemOctober 7, 2013
Many enterprises can use Hadoop in tandem with traditional data warehouses and may not need to worry about hiring a staff of Hadoop experts, says Wayne Kernochan.
3 Rules for Data-driven ArchitectureSeptember 3, 2013
What is a data-driven architecture, and how can enterprises achieve it? Wayne Kernochan of Infostructure Associates has three recommendations for doing so.
Can Big Data Avoid The Correlation Trap?August 5, 2013
Can Big Data help enterprises establish causation, and thus avoid the data correlation trap? Yes, says Wayne Kernochan of Infostructure Associates.
Hadoop in the Enterprise: Don’t OverpromiseJune 5, 2013
Too few enterprises understand what they might gain from Hadoop -- or the risks Hadoop may introduce -- says Wayne Kernochan of Infostructure Associates.
4 Barriers to Big Data Success -- and Ways to Overcome ThemMay 13, 2013
Companies that are leveraging Big Data have identified four common barriers to Big Data success. Fortunately, all four barriers can be overcome with the right strategies.
Big Data Success: Focus on Customer, not CostApril 12, 2013
It may seem counterintuitive, but Wayne Kernochan says that companies successfully using Big Data deliberately do not make cost reduction a top focus.
3 Big Data Lessons from 2012 Presidential CampaignMarch 11, 2013
What can enterprises learn from how the two major political parties used Big Data in the 2012 U.S. presidential campaign?
Want Better Analytics? Put Sentiment Analysis in ContextFebruary 12, 2013
While sentiment analysis shows a great deal of promise for improving customer interactions, companies must use it in context with their other market strategies.
Self-Service Business Intelligence: Not So FastNovember 26, 2012
Yes, self-service business intelligence can offer major benefits -- but not if it becomes the major focus of an organization's effort to become more "agile."
Sentiment Analysis: 3 Points to RememberOctober 29, 2012
While sentiment analysis can be an effective addition to your customer analytics strategy, it is not a customer relationship cure-all.
5 Habits of Effective Agile BISeptember 27, 2012
Effective agile business intelligence modifies agile practices to the needs of BI. Sounds simple, but it can be difficult to stick to this principle. Five habits should help.
Three Ways Agile Marketing Can Use BIAugust 27, 2012
Wayne Kernochan outlines three key ways agile marketing can benefit from business intelligence and explains which BI best practices can move the needle.
7 Tools for Agile Business IntelligenceJuly 30, 2012
Wayne Kernochan, president of Infostructure Associates, recommends seven different types of tools that can go a long way toward enabling agile business intelligence.
Making Connection Between Agile Business Intelligence, Agile MarketingJune 26, 2012
It is pretty difficult to have agile marketing without agile business intelligence, says Wayne Kernochan of Infostructure Associates. Here, he discusses how agile business intelligence can help drive an agile marketing process.
Six Ways Data Virtualization Can Boost Business Intelligence AgilityMay 30, 2012
Wayne Kernochan of Infostructure Associates suggests six ways data virtualization can be employed to deliver increased business intelligence agility.
Whither Embedded Analytics?April 27, 2012
Wayne Kernochan of Infostructure Associates encourages IT buyers to look at embedded analytics, saying as the technology matures it will turn out benefits at least equal to the whiz-bang high-end Big Data analytics now being sold – although the benefits will arrive in smaller per-project chunks.
Business Intelligence Ain't Over Until Exploratory Data Analysis SingsApril 9, 2012
Business intelligence analyst Wayne Kernochan, of Infostructure Associates, says it's a shame exploratory data analysis (EDA) doesn’t get more attention from enterprises looking to increase their competitive edge.
Making a Business Intelligence Case for Columnar DatabasesMarch 14, 2012
Wayne Kernochan of Infostructure Associates says columnar databases are making a comeback – and for good reason.
Big Data Not the Answer to Business AgilityFebruary 28, 2012
IT organizations must challenge vendors on their claims that their Big Data and business intelligence solutions "automagically" create business agility.
Business Analyst, IT Must Be Buddies for Effective Business IntelligenceJanuary 19, 2012
Business analysts and IT programmers should be friends, or at least effective collaborators. They are carrying out separate agile processes, and the value of these to business intelligence and to overall business agility is halved if they fight with each other instead of abetting each other.
Rethinking Business Intelligence for Marketing: Strategy, Technology, MetricsDecember 22, 2011
A recent IBM study highlights the shifting challenges for chief marketing officers and the potential for business intelligence.
Data Virtualization and Big Data Business IntelligenceNovember 7, 2011
Data virtualization could be the glue that ties together data warehouses and social media data.
Big Data, MapReduce, Hadoop, NoSQL: The Relational Technology Behind the CurtainOctober 20, 2011
Hadoop has its limits for Big Data analytics – and relational databases may have more of a future than you think.
Rethinking Mobile Business IntelligenceSeptember 7, 2011
Mobile BI must take into account multiple devices, data needs and work environments in order to be successful.
Business Intelligence, Data Warehousing and Data VirtualizationAugust 29, 2011
'Move or stay' is the big decision facing business intelligence implementations – should data be local or centralized? Some new technologies make the decision a lot more interesting than it used to be.
Business Intelligence Challenged by Social, Mobile DataAugust 15, 2011
IT buyers need to look at the "other" category to determine which business intelligence vendors are flexible enough to keep up with fast-changing data sources.
Progress Software and Joe Isuzu: Process Intelligence, Not Business AgilityMay 30, 2011
Progress Software promises to improve business processes, but can the company also improve business agility?
Why Most Business Intelligence Projects FailMay 2, 2011
According to Gartner, 70 to 80 percent of business intelligence projects fail. The solution could be a more agile development process — and organization.
What Agile Business Intelligence Really MeansApril 7, 2011
Agile business intelligence isn't a one-time upgrade, but a continual process.
Microsoft and HP Could Reshape the IT LandscapeJanuary 21, 2011
Forced to pair up by the growing hardware and software dominance of IBM and Oracle, Microsoft and HP could grow increasingly closer over the next couple of years.
IBM's New Way of Selling ITJanuary 14, 2011
IBM has gone from selling TCO to selling "outcomes." What does the change in IT sales tactics mean for enterprise applications customers?
How to Make Mobile Business Intelligence Work NowDecember 10, 2010
Mobile BI is a long way from mature, but there are ways users and vendors can make it work now — and your CRM program will reap the benefits.
Three Ideas That Could Bring Business Intelligence to the MassesNovember 5, 2010
There are three things that could put business intelligence capabilities at everyone's fingertips, but will they ever happen? A long-suffering industry observer offers his wish list for BI software.