Guiding Principles for Data Enrichment
The data integration process is traditionally thought of in three steps: extract, transform, and load (ETL). Putting aside the often-discussed…
The Top of the Data Quality Bell Curve
“Information is the value associated with data,” William McKnight explains in his book Information Management: Strategies for Gaining a Competitive Advantage with…
When Big Data Turns Into a Big Nightmare!
In today’s world, data is one of the biggest assets companies can possess. The smartest and most successful companies are…
Your Data Quality Wish List [Part Two]
For the second installment of our data quality “Wish List” series let's tackle another common concern from data professionals, “I…
Opportunity for the Office of Finance in 2014
Senior finance executives and finance organizations that want to improve their performance must recognize that technology is a key tool…
Data Quality Chill Factor
The recent North American cold wave that winded its way across Canada and the United States, brought heavy snowfall and broke low…
How Machine Learning Could Result In Great Applications for Your Business
Machine learning is about creating algorithms and systems that can learn from the data they process and analyse. The more…
Data Privacy Issues Can’t Be Overlooked
Businesses in all sectors are finding more uses for their big data on what can seem like an everyday basis.…
The World’s Most Unusual Data Centers [INFOGRAPHIC]
With an ever growing amount of data in the world, that data also needs to be stored and why not…
Managing Cyber Security Threats from Inside
Note: The following article is part of a shared content agreement between Online Tech and InfoSec Institute. This post is…
