DLUHC: From support ticket overload to an all-time low
Learn how a UK government department reduced support ticket volume to an all-time low with Datavid's expertise in MarkLogic.
About the customer
The Department for Levelling Up, Housing & Communities ensures that housing and community policy is enforced across the UK, and that developers don't take advantage of market conditions.
2500 - 5000
- » Significantly reduced support ticket volumes within 1 year
- » Empowered end users to self-serve instead of waiting for support
- » Automated common tasks and increased performance of MarkLogic service
- Data architecture
- Data engineering
- Knowledge management
- Regulatory compliance
Reducing maintenance costs & volume of support tickets
The Department works across the UK to provide individuals and communities with support and services. The client’s situation presented Datavid with 2 challenges:
- To reduce the volume of support tickets, and;
- To decrease maintenance costs over time.
Both of these were issues the department was facing for a while, leading to inefficiencies and lower-than-expected user satisfaction due to slow support times.
When approaching a provider, the Department expected to reduce the number of resources required to triage and fix support issues, ultimately saving them money.
Implementing self-service & automating data extracts
With so many support tickets to manage week in and week out, the client needed a trusted partner to help them make better use of their investment in MarkLogic.
When Datavid was presented with the challenge, we approached it with iterative improvements in mind to achieve the ultimate goal of lowering ticket volume:
- We categorised support tickets with a matrix to identify areas of potential improvement that would have otherwise been hard to visualize.
- Our developer then created a library of reusable scripts to solve common problems, clear the ticket backlog and stay on top of incoming tickets.
The solution was to strategically target investment at improving high-frequency processes in the system and implement self-service functionality for users to continue their work without having to wait for support.
Both significantly decreased the volume of incoming tickets.
Our reusable script library also reduced the burden on support staff by scheduling data extracts automatically instead of manually sorting through hundreds of tickets.
To achieve this solution, we monitored monthly support ticket trends quantitatively, and looked at how user needs changed qualitatively over time.
Up to this day, we invite users to leave feedback via an online survey which we review frequently to see where we can make further improvements.
Increasing user satisfaction & overall productivity
Datavid has supported the Department’s system for 2.5 years.
Our aim was to reduce support ticket volumes after 1 year, based on iterative improvements and user guidance. We achieved this and have continued to reduce support tickets to an all time low.
The solution led to increased user satisfaction, quicker issue resolution, and higher overall productivity by increasing the robustness of the system, automating tasks, and increasing query performance.
From a technical standpoint, we helped analyse the capacity of the service and optimized the MarkLogic cluster as a result, leading to a performance increase.
We have tracked data increases over time to understand when components would come under pressure and applied adjustments to solve the bottlenecks.