Integration Analytics: Moving Past Definition to The KPI Dashboard

In line with the growing pull towards digital transformation, most businesses are adopting API-based integration to boost revenue streams. In most companies, the C4E team is responsible for driving the initiative across the line of business. There are many key KPIs (Key Performance Indicators) that the C4E team keeps track of, as well as the number of lines of business using Anypoint Platform™. This helps manage the APIs together with the number of APIs being used and reused. These KPIs are then used by the C4E team to get comprehensive insights into the APIs being used/re-used the most, identify the LOBs that have the greatest/lowest adoption rates, and recognize which APIs have the lowest number of users and transactions.

You will learn how to measure Anypoint Platform adoption and API reuse within an organization and use these KPIs in the best way possible.

Implementing a Certain Kind of Measurement

Some businesses count the number of Anypoint business groups as well as the number of APIs in each. This can be done manually or you can automate the process by using a set of platform APIs through Postman or another custom application. 

Engaging KPIs around API Use

Many clients struggle with utilizing a set of repeatable metrics into a dashboard. A good way to manage your integration KPI strategy is by using MuleSoft’s free, open-source Metrics-Accelerator. The Metrics-Accelerator simplifies the path from KPI definition to the dashboard by compressing all the intricacies and offering a single API to calculate over 120 platform metrics like API Manager, Anypoint Runtime Manager, etc.   

The versatile hierarchy format of the output makes it easy to measure the metrics both at a wider organization level or scaled down to a specific business division.

The Metrics-Accelerator provides unconventional connectivity and pre-programmed Splunk and Elk dashboards for visualization, providing an extensive integration framework to convert data into a directory of your choice of visualizations.

When gauging a portfolio of KPIs and metrics, it is critical to base it on the core idea of establishing a KPI system to speed up and improve the process of making decisions. But to make reliable and correct decisions, a business first has to accumulate enough data and metrics.

These ideas and insights can seem complex to incorporate since the data behind any affecting factors aren’t stored anywhere on the MuleSoft platform. However, the Metrics-Accelerator framework was designed to source out-of-platform ecosystem data from anywhere in your organization and transport it to the visualization system you desire.

Discovering Correlations with Visualizations

A proper KPI system collects data points from various systems, like PPM tools or business transactional systems for end-to-end visibility, which opens up the ability to create insights for improved and faster decision making. For instance, the C4E team decides to consume open and closed defect counts from ServiceNow to complement customized platform metrics. Customizing the framework to capture defect metrics from ServiceNow is as simple as constructing a new flow with the ServiceNow connector and a collection of transformations.

As a result, when the C4E team visualizes the number of business groups and consumption rates with the defect data, this helps to relate environmental factors and ultimately better understand the adoption rate dynamics. For example, if the defect count is significantly higher in a business unit, the C4E team can view if this contributes to the slower adoption rate. This approach results in a sort of cycle of improved situational awareness across an organization, making its operations and processes a lot more sophisticated. 

From this point, the C4E team can then focus on targeted areas for improvement, making specific visualizations. For instance, connecting defects and reuse per API with the general speed of delivery within a program or business unit. To do so, you need to capture and contain API or component meta-data in the Project Management or Incident Management tools, which can then be correlated with the defect count and reuse rates created earlier.

The Importance of Timing

Besides the individual KPIs and metrics themselves, you need to understand and define a realistic frequency and retention period to collect these metrics. A good way to do so is by capturing quality-related metrics every month and then visualizing them in graphic form for two years. The metrics accelerator makes it easy to view four main areas: HR/teams, projects, operations, and technology resources. Having long-term visibility in these areas, stakeholders and upper management can make data-driven decisions, predict technical and non-technical requirements, and optimize resources. 

In general, there is a lack of a comparative baseline that makes it difficult for integration teams to track team progress against business objectives which in turn makes it borderline impossible to validate practice and platform decisions. A lack of benchmarks results from factors like:

  • Siloed data and teams
  • Growing and convoluting processes, tools, and systems
  • Leadership pressure to clear the project backlog
  • Lack of cohesion or unity on how KPIs should be defined

MuleSoft works towards making the measurement process simpler, quicker, and pain-free so that customers can get the most value out of Anypoint Platform to power business initiatives and digital transformation. Implementing a data-based and multifaceted KPI strategy with ease and dexterity can help businesses in ways that add up greatly in the long run

In Conclusion

Measuring metrics like the number of APIs without security, exchange assets without conventional taxonomy, and different business errors allow any business’s C4E team to carry out targeted enablement programs that improve overall operations and delivery of services. A KPI dashboard is crucial for businesses to predict and manage disruption, use data better, and help your business grow to greater heights.

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