Data quality is the bane of many a telco. If the data quality is rubbish then the OSS tools effectively become rubbish too.
Feedback loops are one of the most underutilised tools in a data fix arsenal. However, few people realise that there are what I call big circle feedback loops as well as little circles.
The little circle is using feedback in data alone, using data to compare and reconcile other data. That can produce good results, but it’s only part of the story. Many data challenges extend further than that if you’re seeking a resolution.
The big circle is designing feedback loops that incorporate data quality into end-to-end processes, which includes the field-work part of the process.
Redline markups have been the traditional mechanism to get feedback from the field back into improving OSS data. For example, if designers issue a design pack out to field techs that prove to be incorrect, then techs return the design with redline markups to show what they’ve implemented in the field instead.
With mobile technology and the right software tools, field workers could directly update data. Unfortunately this model doesn’t seem to fit into practices that have been around for decades.
There remain great opportunities to improve the efficiency of big circle feedback loops. They probably need a new way of thinking, but still need to fit into the existing context of field workers.