3 Common Data Pitfalls That Thwart IT’s Success — And How to Solve Them
Data is king — you’ve probably heard the phrase ad nauseam. Even if your IT organization acknowledges its significance, what matters is how your team puts that data to use. Often, IT gets so caught up in managing systems and resolving issues that utilizing data becomes a secondary priority.
Yet neglecting your data will hurt you in the long run — leaving your team in the dark when service issues occur. Here are three common data problems that IT organizations face, and how to solve them once and for all.
1. Data Quality
As an IT manager, you find yourself swimming in vast pools of data. With data-collecting applications pervading businesses, it’s become impossible to identify the most valuable information and filter out the noise.
If your team relies on week- or month-old data to review performance, you lack visibility of IT operations at that moment. Stale metrics leave you without the tools to identify issues as they’re occurring and prevent major service disruptions.
Collecting up-to-date data provides little value to your team when information is spread across siloed application repositories. For example, disconnected data caches can obstruct your team from discovering the root cause of a service problem — especially if the issue stems from an unexpected source.
Avoid data pitfalls like those outlined above with applications designed to supply your team with practical intelligence. Check out the infographic below for a visual overview of reporting and analytics tools.
Jump-start your analytics journey with our eBook about The Smartest Path to Smarter IT.
[Photo courtesy of Pexels.]
The Right Way to Establish ITSM Accountability
Making specific leaders or teams responsible for particular ITSM metrics bridges the gap between understanding…
Establish Change Risk Metrics to Drive IT Agility
Risks in the production environment can have major consequences for users and the bottom line….
How to Start Analyzing Your IT Process Data Today
The thought of transitioning to a data-centered culture, where all of your IT process data…