Enterprise Organizations Search for Solutions to Deliver Inisights
February 14, 2013
While ETL technologies were once good enough on their own, the era of big data has made waves for more augmenting technologies. However, Smart Data Collective points out that it is not just big data, but also the need for predictive analytics that has caused the paradigm shift. Their article “Data Integration Ecosystem for Big Data Analytics” defines common terminology related to enterprise software in the world inundated with big data through business contexts.
The author identifies the six sources of the integrated data ecosystem in a typical enterprise organization: sources, big data storage, data discovery platform, enterprise data warehouse, business intelligence portfolio, data analytics portfolio.
We learned the following from the article in regards to what processes integrated data can facilitate with greater ease and efficiency:
While the business intelligence deals with what has happened, business analytics deal with what is expected to happen. The statistical methods and tools that predict the process outputs in the manufacturing industry have been there for several decades, but only recently they are being experimented with the organizational data assets for a potential to do a much broader application of predictive analytics.
This was a useful write up as it sheds light on one of the most important topics for enterprise organizations right now dealing with getting a grip on big data. Organizations are looking for solutions that can deliver enterprise information in real time and across various departments and applications.
Megan Feil, February 14, 2013
Sponsored by ArnoldIT.com, developer of Beyond Search.
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