- January 18, 2012
In small and midsize businesses as well as larger organizations, BI systems need to be flexible and adaptable in order to able to meet changing business needs, analysts say.
- January 16, 2012
While telecommunications may be maturing in its use of analytics and BI tools, new research finds that more than half of its analytical process time is applied to data-related tasks.
- January 12, 2012
In an interview, analytics and data mining consultant John Elder offers advice on managing successful predictive modeling initiatives and a head’s up on common mistakes to avoid.
- January 11, 2012
Many small and midsize businesses don’t have a lot of money or staff resources to devote to business intelligence programs -- making sound project management processes essential, BI analysts say.
- January 10, 2012
To generate useful predictive analytics results, predictive modeling teams need a combination of analytical and business know-how plus close ties to business users, say analytics pros and consultants.
Sponsored by Intel - Hyperconverged infrastructure promises to make organisations more agile and cost-effective, with new storage technologies replacing legacy systems within a high-performance software-defined IT architecture. See More
Sponsored by CloudHealth - As enterprises continue to add new use cases and workloads to their cloud portfolio, the stakes keep rising for potential governance speed bumps. Business users and IT professionals alike are now using the cloud for everything from compliance and security to cloud-native application development and infrastructure optimization. But this makes policy management more difficult, time consuming and costly, especially with so many cloud services being purchased and deployed outside the scope, visibility and control of a centralized IT operations group. See More
Sponsored by Intel - It’s a modern truism that there’s no such thing as digital transformation―only business transformation in the digital age. But one technological factor is common no matter which terminology you prefer: Making the right use of the cloud for your organisation is essential. See More
Sponsored by CloudHealth - In the era of Cloud 1.0, early adopters were often drawn to the cloud because it allowed them to reduce Capex and move to a more predictable subscription pricing model. In recent years, cloud adoption has surged because organizations have recognized that it not only reduces their hardware purchases and per-seat software licenses but provides many operational benefits as well. See More
- January 09, 2012
Faculty members from the International Institute for Analytics, a research firm that focuses on how organizations use analytics, weigh in on their predictions for 2012.
- January 06, 2012
There are lots of ways that BI deployments in small and midsize organizations can go wrong, according to analysts who offer advice on how to sidestep the roadblocks to a successful deployment.
- January 04, 2012
Midmarket companies investing in BI systems should follow the same basic steps as larger organizations, analysts say. But, they caution, there's typically less room for error in smaller businesses.
- January 01, 2012
A shortage of skilled data scientists and a user-unfriendly set of technologies are the biggest obstacles impeding big data analytics programs, say analysts and IT professionals.
- December 30, 2011
The terrain may seem foreign, but many proven data management and business intelligence best practices translate well to big data analytics programs, according to analysts.
- December 23, 2011
The growth of cloud computing as an application platform means business intelligence teams should at least be prepared for the possibility of Software as a Service BI deployments, analysts say.
- December 22, 2011
Big-data analytics and other forms of advanced analytics will be a big battleground for BI vendors in 2012. Our recent coverage highlights that, and ways users can up their analytics game.
- December 22, 2011
The term ‘big data’ took on bigger meaning in 2011 with new product releases from major vendors as well as new terminology to describe the big data analytics landscape.
- December 21, 2011
A Virginia-based energy company is relying on advanced data visualization, geospatial data and visual analytics to stay a step ahead of thieves who’ve taken a shine to copper wire.
- December 16, 2011
In an interview, predictive analytics consultant Eric Siegel offers advice on building organizational trust in the findings of predictive models -- and warns how the process can go wrong.