What You Need to Know About Automated Testing

Mark Bentsen, a friend and fellow software QA enthusiast, recently posted on LinkedIn, “The number one reason QA Managers lose their jobs is from failed automation initiatives. Is automation important? Absolutely! Don’t make a rookie mistake and waste your budget only to get negative ROI.” I've seen it first hand. I'd say there are 7 big mistakes that can undermine any automation effort:

According to IDC Big Data market is projected to be a $50 billion industry by 2019.

Big Data is big and will continue to become bigger. Bigger in the sense of size as more data sources come to fruition as sensors and other applications come online. More importantly, Big Data will become “bigger” in terms of importance due to the insights that can be gained. These insights can provide great value to a company trying to understand its users or customers better and to optimize their service and product offerings in a personalized manner. Yet the old caveat “garbage in garbage out” applies more than ever to Big Data. That’s where Big Data Testing comes in. If the data is not validated, it can lead analysts astray leading to information and insights that are not only inaccurate but perhaps in the opposite direction. Don’t make the mistake of assuming your data is valid and accurate. Let XBOSoft support your Big Data initiatives with our Big Data testing services.


Challenges with Big Data – XBOSoft Webinar

Challenges with Big Data - How to Ignore Fake Data

This XBOSoft webinar, “Challenges with Big Data Versus Fake Data” discover how to use data in software QA and testing. Meet our guest speakers, Jennifer Bonine and Rick Faulise in this webinar.They discuss what data is good? How and where to use it? And what data do you need to throw away? What metrics should you be using and what metrics could lead you astray?View this XBOSoft webinar to learn more >
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