Access "BI benefits in reach for SMBs, but some effort required"
This article is part of the Issue 5 May 2012 issue of The biggest obstacles of data science
The business intelligence (BI) market is flooded with software packages targeted at small and midsize businesses (SMBs). But the reality is that SMBs face many of the same challenges in managing and using BI tools as their enterprise counterparts do. The good news is that BI and analytics systems can often be more easily implemented in midmarket organizations because many SMBs do not have the technology infrastructure limitations typically found in large enterprises. Most big businesses already have mature BI architectures with designated hardware and software standards, which limits their flexibility on system design. Consequently, SMBs can be more agile and take advantage of newer BI product offerings. On the other hand, restricted budgets and fewer internal IT resources to manage BI systems could be considered negative factors for BI adoption in the midmarket. Fortunately, thanks to the broader technology options now available, it’s a great time for SMBs to take advantage of what BI and analytics have to offer. However, before embarking on an ... Access >>>
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BI benefits in reach for SMBs, but some effort required
by Lyndsay Wise
Successful BI for small and midsize businesses isn’t just about implementing software. They have work to do before deployments to make sure systems will be readily adopted and produce valid results.
- BI benefits in reach for SMBs, but some effort required by Lyndsay Wise
Faster data delivery livens BI performance, user satisfaction
by Alan Earls
With business users looking to get their hands on business intelligence data more quickly, making BI systems more flexible and responsive is becoming a priority in many organizations.
Split personalities put data scientists in play
by Claudia Imhoff and Colin White
These specialists are in high demand these days, but who are they really? Scientists? Analysts? Statisticians? In fact, they are each of these and more.
- Faster data delivery livens BI performance, user satisfaction by Alan Earls
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