MongoDB Microservices Help HM Revenue & Customs Cut Wait Times in Half and Save £8.2m in Operational Costs

February 14, 2017 Mat Keep

Taxes and death. The two things in life we can’t escape. So what on god’s green earth could ever compel someone to tweet positive comments about a tax self assessment process? Well, let me explain.

HM Revenue & Customs, the UK’s tax body, has been a leading agency in the government’s digital transformation programme. The aim of which is “building digital services that are simpler, clearer and faster to use”. It’s fair to say that tax services in the UK, were not widely regarded as being simple, clear or fast.

To create the underlying infrastructure that could power that transformation, HMRC, with its partner Equal Experts, built a network of microservices that use MongoDB’s scalability, data model flexibility and ease of development. This project also ushered in a move to agile development and a default preference for open source technology, like Docker containers.

Earlier this month Mike Potter, Digital Transformation Director at HM Revenue & Customs, revealed the full impact of those transformed services can have:

“We received an unprecedented number of Self Assessment returns online this year - 89% or 9.24m customers. This is fantastic and I wanted to share with you some other numbers I’m excited by.” 

The online form replaced a paper process that users had accused of being difficult and complex, which led to a high volume of phone calls to the support staff. That’s now changed. Mike continued:

“So how did the 2016 peak compare to 2015? Well, this year we received:

  • 480k more returns online
  • 300k less paper returns - down 21%
  • 41k fewer calls - down 7% - and, in addition, a further 88k customers got the help they needed through webchat instead of having to phone us
  • And we halved phone waiting times, down to just over 5 minutes.”

These are not minor improvements. Waiting times cut in half! That means more time and dramatically less stress in the lives of UK citizens. Mike also highlighted how this had been positively received on social media:

How many times have you seen someone tweet their affection for a tax service, right after filling out a self assessment?

The Digital Transformation director also looked at how the Multi-channel Digital Tax Platform or MDTP had facilitated these dramatic changes. He explained that “[MDTP] hosts the digital tax accounts at the heart of our digital future, plus all of our new online services”.

MDTP has launched 28 services, handled 55 million visits and, get this, saved £8.5 million in operating costs. That’s right, the services are vastly improved and the tax papers seeing savings in excess of, for our American friends, $12 million USD.

These impressive numbers are the result of many people doing incredible work. One part of that is the microservice architecture that supports HMRC’s digital transformation. With the help of partner Equal Experts, HMRC has used modern technologies such as MongoDB and Docker to make services more agile, flexible and scalable. Before the microservices transformation, HMRC were pushing two releases a year. Now it’s 50 releases a week.

Simple, clear and fast. And it saves the taxpayers millions. Digital transformation at HMRC is a demonstration of what’s possible when people take a completely new look at how to solve a problem. As Ben Franklin said: we’ll never escape tax or death. But it’s a relief to know at least one of life’s constants is getting a little less painful.

 


About the Author - Mat Keep

Mat is a director within the MongoDB product marketing team, responsible for building the vision, positioning and content for MongoDB’s products and services, including the analysis of market trends and customer requirements. Prior to MongoDB, Mat was director of product management at Oracle Corp. with responsibility for the MySQL database in web, telecoms, cloud and big data workloads. This followed a series of sales, business development and analyst / programmer positions with both technology vendors and end-user companies.

Previous Article
The New MongoDB Connector for Apache Spark In Action: Building a Movie Recommendation Engine
The New MongoDB Connector for Apache Spark In Action: Building a Movie Recommendation Engine

Next Article
Generating Globally Unique Identifiers for Use with MongoDB
Generating Globally Unique Identifiers for Use with MongoDB

By default, MongoDB generates a unique ObjectID identifier that is assigned to the _id field in a new docum...