Mining Service data to identify trends
In Information as a Second Language: Enabling Data Literacy for Digital Society Valerie Logan argued that the factors of 'production' had evolved beyond people, process and technology to include data.
It is often said that 'data' is the fuel on which organizations run.
But the problem is usually 'seeing the wood for the trees' - where there is so much data, it is hard to identify the important data that you should use for decision making.
And in the world of Service, we often ask clients the following questions:
The need to manage data as an Asset with a full lifecycle process is long overdue. Because of the European General Data Protection Regulation (GDPR) legislation, organizations are finally taking this seriously. Critical data, including but not limited to, private and personal data of individuals, must be treated carefully, sensitively and with adequate security and due process integrity. Taking a Service Management apporach provides an ideal, cost-effective route to strong data governance.
By comparing yourself to your peers, you can see how you’re really performing. That allows you to take concrete action to improve your performance, focusing on areas where you need to do better. It also lets you have objective conversations with other business stakeholders, so that they understand the value of the service levels being provided.
Your SaaS-based Service Management platform provider should now be able to provide you with real-time benchmarks into service performance around the globe. For enterprises that are global
We’re getting incredible insights that just weren’t possible before – including major variations across industries, company sizes and geographies.
Have a look below. Do any of the questions apply to you?
Mining Service data to identify trends
Consolidating data from multiple platforms
Developing Executive KPI dashboards
Identifying which data sets to use for machine learning