Dirty data yields questionable insight: 3 steps to eliminate the root cause

How would you like to put a stop to incomplete, inconsistent operational data and supercharge your analytics and insight… in just 30 days!

For all the science and engineering that goes into the design of data centers and critical facilities, precious little science makes it into typical management of operations. In particular, data input by site staff - such as equipment tours, incident reports, and maintenance and project records - is notoriously inconsistent and incomplete. Make no mistake - this has devastating ripple down effects in reporting and analytics.

Interestingly, the solution involves a technique borrowed from a proven Lean Management principle used by Toyota to become the dominant auto manufacturer they are today.

When organizations follow this approach, not only does it immediately improve operational visibility and insights in the boardroom, but the resulting framework also permanently eliminates tedious, repetitive data preparation and clean-up - allowing your analysts to refocus their time on higher-value tasks.

So, if you’ve ever felt overwhelmed by incomplete or inconsistent operational data, or you’re tired of questioning the reliability of your analytics and insight... worry no more! There is a solution! It’s called maximizing First Pass Yield, and it’ll get you pumped!

Here are three steps to maximize First Pass Yield for complete, consistent data and powerful analytics and insights.

1. Track related data in a single tool so you have one version of the truth

2. Use inference to standardize and enrich existing data en masse

3. Use characteristics of existing data to nudge users in creation of new data

If you’d like to experience the awesome power of this three step process now, but don’t have a tool up to the task, request a personal demo to see how MCIM can help transform your business.