Best of TDWI's Data Digest
Interesting articles we found on the Web focus on surviving the Internet of Things data storm, improving your BI ROI, the need for big data governance, and why smart prescriptive analytics algorithms are critical.
- By Quint Turner
- January 19, 2016
Getting Through the IoT Data Storm
(Source: I Crunch Data News)
The IoT is going to lead to a huge outbreak of new data which will harm current predictive analytics models. Optimizing in this storm of data will be tremendously difficult, especially alongside the security risks that the IoT brings. This article is a warning to enterprises about the IoT.
Achieving a Better ROI on BI
The ROI of data analytics and business intelligence is tricky to pin down, but according to recent studies, enterprises are raking in $13.01 for every dollar spent on business intelligence. This is an increase, but that number can go higher. This article has the scoop on improving your ROI on BI.
A Better Way to Tackle Big Data Governance
Data governance is becoming more important as the amount of data increases exponentially. This article features a holistic approach to big data governance through an effective semantic approach.
Prescriptive Analytics Requires Smart Algorithms to be Effective
Many enterprises have adopted prescriptive analytics, the way of using algorithms to analyze data and immediately take action, to avoid bad data quality. However, as this article argues, only good algorithms will lead to effective prescriptive analytics; a bad algorithm will only lead to "bad" data.
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.