The unavailability or loss of data in storage products is a powerful disruptor.
It not only creates chaos for developers and consumers, but it also introduces risk for future storage products. If data-related functionality or operational issues persist across releases, consumer confidence and the vendor’s reputation may be compromised.
But whenever events do happen, the good news is that there is a way to prevent and mitigate them: predictive analytics.
Predictive Analysis Makes the Impossible, Possible
With the vast amounts of data available to organizations, it is impossible for humans to organize, analyze, and draw conclusions on their own.
Nowadays, predictive analytics does the job, by quickly gathering and assessing datasets that can be used as business intelligence to forecast events.
In the case of data unavailability or loss, predictive technology can be applied in several ways to gain insights, identify root causes, and suggest improvement. Here are three of those applications:
Identify Flaws in Support Procedures
Is your support staff asking the right questions to help identify where errors took place? Could there be a better approach to analyzing situations? Predictive analysis can evaluate billions of consumer-generated data, so that support teams can use it to address product issues more efficiently and accurately.
Identify Patterns Leading to Product Defects
At what point during operation of the product does an issue occur? How can we use this information to address problems now and avoid them in the future? Using analytics in a predictive manner, it is possible to focus on specific patterns that produce the undesirable result – in this case, data loss or unavailability.
Identify Functionality Breaks
Are you struggling with breaks in functionality between data storage product releases? Or do you just want to prevent them from happening? Predictive analytics can help here, too. Using large amounts of available data, predictive technology makes it possible to assess where failures are likely to occur between releases.
What are some other ways you are integrating predictive analysis?
Vedams was able to bring the necessary expertise and resources to meet our business objectives. What I like the most is its flexibility in their business model to meet our needs.
Our partnership with Vedams has been highly successful. The Vedams team is extremely productive and dedicated to ensuring success. Their willingness to go above and beyond has resulted in consistently meeting schedules with high quality releases despite several challenges that needed to be overcome.
They conduct their work and business relationship with the highest degree of honesty and integrity.
Vedams is a highly valuable addition to Xyratex’s own global product test organization. With product availability and reliability requirements being key differentiators for Xyratex in its markets, the need for exhaustive, rigorous and in-depth functional testing is critical.
The knowledge required to perform at this level, being very data storage focused, is not easily obtained but I have been impressed by the way these skills have been cultivated and the low levels of staff turnover.
Vedams was able to bring the necessary expertise and resources to meet our business objectives. What I like the most is its flexibility in their business model to meet our needs.
Vedams’s global delivery model is strongly supported by their onshore project management. Because of the seamless communication maintained by the local project managers, we were able to keep our customer’s aggressive schedules on time and on budget.