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The growth of cloud computing has caused a paradigm shift in all sorts of business applications, but perhaps most notably in ERP software.
As noted in a previous article, cloud ERP is growing like wildfire as more and more businesses move to their ERP system to the cloud.
But as cloud ERP becomes more popular, misconceptions about it also spread and it becomes more difficult to separate fact from fiction. In an effort to do just so, here are the top 3 myths about cloud ERP:
Myth #1: Cloud ERP is the same as hosted ERP
This is somewhat analogous to saying that renting a house is the same as leasing a house, which obviously is false. There are numerous differences between cloud ERP and hosted ERP involving software maintenance, network traffic, security, and statelessness.
Hosted ERP requires users to install and maintain software; cloud ERP does not. This saves …
Retailers and marketers often face the challenge of getting coupons, offers and promotions delivered at the perfect time and in the right context to their customers.
The rapid advances in cyber foraging, contextual computing and cloud computing platforms are succeeding at revolutionising this aspect of the retail shopping experience. Context-aware advertising platforms and strategies can also provide precise audience and segment-based messaging directly to customers while they are in the store or retail outlet.
What makes context-aware advertising so unique and well adapted to the cloud is the real-time data integration and contextual intelligence they use for tailoring and transmitting offers to customers.
When a customer opts in to a retailer’s contextually-based advertising system, they are periodically sent alerts, coupons, and offers on products of interest once they are in or near the store. Real-time offer engines choose which alerts, coupons or offers to send, when, and in which …
Recently InformationWeek published a piece, authored by Doug Henschen, that listed 13 innovative Big Data vendors.
These 13 vendors distribute 16 unique data management products (since both Amazon and Cloudera offer multiple distinct data management/processing systems), all of which push the boundary on Big Data management.
In this post I will attempt to subcategorize these 16 products into a competitive grouping, where products placed inside the same group can be considered replacements for each other (and hence are competitive), and each group is complementary to every other group.