Best of TDWI's Data Digest
Interesting articles we found on the Web focus on the future of BI, extracting insights from unstructured data, and the use of social media in predictive analytics.
The Future of BI
(Source: Information Age)
As BI gets more ubiquitous, the future of the BI industry gets hazier. Practically everybody is practicing some form of BI and analytics these days, and it is hard to predict where BI is going -- but this article tries to do just that.
Getting Insights from Unstructured Data
(Source: Computer World)
Unstructured data makes of 90% of all data an enterprise collects -- meaning that the huge amounts of data in your structured data lake is just 10 percent of the data you could have. As this article explains, the huge amounts of unstructured and qualitative data available for use can be what give you a leg up on data analysis.
Predicting the Future with Social Media Data
(Source: Tech Target)
Using predictive analytics on social media data can be lucrative thanks to the large number large volume of data customers willingly share about themselves. However, although storing the data is not usually an issue, finding the right data from all the social media data gathered can be difficult, as this article explains.
The Pros and Cons of Agile Frameworks
(Source: CIO)
The agile method of developing software was designed to work well for small teams, yet larger enterprises are trying to utilize similar methods for their teams. The best scaling agile frameworks are compared in this comprehensive article.
Bringing Light to Dark Data
(Source: Datanami)
Dark data is information assets collected by an enterprise that ends up not being used for analysis. For some enterprises, 90 percent of their collected data may be dark data. Making sure the dark data is brought to light and used is the focus of this article.
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.