November 19, 2013:
The topic of how to increase user adoption of business intelligence technologies generated a lot of opinions in a recent Friday #BIWisdom tweetchat.
The tweets started with opinions about what hampers user adoption. Some tweeted that the tangling of BI into the Big Data space causes confusion, it’s a mistake to try to get end users to adopt “analyst tools” and we must stop force-feeding generic analysis tools to end users even if they are “simple” to use. Someone tweeted that some organizations make the mistake of working only with power users who may have a vested interest in not expanding adoption to others. Many agreed that trying to change a user’s adoption of and interaction with BI tools on a daily basis is difficult; one tweet compared it to trying to change someone’s religion or belief system.
The conversation turned when a #BIWisdom tribe member stated that “BI encompasses people, process and technology; but most implementations focus on the technology and forget the people and process.”
Others then chimed in with:
• BI should just be intuitive and just a part of other apps; users don’t want to think about doing BI
• Predictive analytics adds a lot of value; but it needs to be a part of users’ current desktop app, not a separate app
• Analytics should be placed inside business processes and link to actions rather than making users go to another system
• BI solutions should not be approached from a one-size-fits-all mindset
November 15, 2013
SMEs Enjoy Business Intelligence Edge, Enterprise Apps Today
October 8, 2013
First Benchmarks on Embedded Functionality in Business Intelligence Rank it “Critical” in Importance, Sandhill
September 30, 2013
Podcast: Mobile BI strategy: Focus on the nomads, SearchCIO-Midmarket
September 30, 2013
Podcast: Mobile BI: The misperceptions and the missteps, SearchCIO-Midmarket
August 27, 2013
Embedded BI important to businesses, report says, IT-in-Canada
August 23, 2013
CIA Wrestles With Analytics Challenges, ITBusinessEdge
August 23, 2013
Cloud Hosting Opens Possibilities for Business Intelligence, Web Host Industry Review
August 21, 2013
Users offer tips on implementing location intelligence software, SearchBusinessAnalytics
The Wisdom of Crowds Small and Mid-Sized Enterprise BI Market Study focuses on the specific characteristics, drivers, and trends unique to smaller enterprises, and provides an analysis of how these usage trends compare to the large enterprise market.
The inaugural SME BI Report provides a thorough analysis and ranking of 21 leading BI vendors, including individual ratings, to enable organizations to compare and contrast vendor performance using our trademark 33-measure performance model. A 17-page Buyers’ Guide is also included to evaluate vendors based on key business intelligence features, across traditional, cloud and mobile platforms.
This report will be an invaluable tool for any Small or Mid-Sized Enterprise considering an investment in Business Intelligence solutions.
Our inaugural Wisdom of Crowds ® Business Intelligence Emerging Technologies report, leverages all of our 2013 emerging topic research including Cloud BI, Embedded BI and Collaborative BI to produce this important compilation.
The Business Intelligence Emerging Technologies Report contains over 160 pages of in-depth market analysis, over 110 charts and tables, multiple vendor rankings AND buyers’ guides comparing and contrasting BI vendor capabilities.
An additional section examines perceptions and intentions of innovative user-adopters and includes special vendors rankings for some of the more broadly innovative suppliers of BI software.
This report contains critical information which will assist in assessing emerging technologies related to BI and will be an invaluable tool for anyone considering an investment in BI solutions which embrace these technologies.
Wisdom of Crowds ® Business Intelligence Special Reports provide in-depth analysis of selected vendors’ performance using our 33 measure rating system and vendor-specific customer trends, comparing current progress and perceptions and intentions for Business Intelligence.