Self-Service Analytics Platform for Enhanced User Maintenance and Blasting Activity Efficiency

Looker Studio Google Data Studio User Maintenance Data Dashboard Data Visualizations

This Self-Service Analytics Platform is designed to provide efficient solutions for user maintenance and blasting/drilling activities. With this tool, users can easily access and analyze relevant data, enabling them to make timely and effective decisions. With a focus on enhancing efficiency, the platform not only offers deep insights into user maintenance performance but also enables optimization of blasting activities. Thus, the project aims to deliver a transformative solution for organizations to manage their operations more efficiently and effectively.

Agus Santoso
2024-04-09

Introductions

In our current workflow, data updates are managed weekly by the Data Team, utilizing a spreadsheet and Slack channel for distribution. This decentralized process places a heavy reliance on the Data Team’s workload, hindering efficiency and timely decision-making. Addressing this challenge is crucial to expedite our business decisions. Thus, the question arises: How can we streamline routine tasks to enhance efficiency and accessibility for stakeholders? It’s worth noting that the need for user maintenance data is crucially required by the User Relations Team, intensifying the urgency for a solution. The answer lies in implementing a Self-Service Analytics (SSA) platform. SSA offers an autonomous solution, enabling users to independently gather and analyze data, thereby facilitating quicker decision-making processes.

What Tools To Use

Preparations

Here, I want to describe a few tools in this analysis:

Dashboard Visualizations

The dashboard consists of five unique pages, each with a specific name and function to enhance data understanding and decision-making.

Guideline Page:

This page serves as a general guide for using the dashboard, providing instructions and tips for navigation, as well as further understanding of the presented data. We can see it as a preview in Fig. 1 below.

Fig. 1. Guideline.

Realtime - Summary Viz:

This page presents brief visualizations of real-time data related to user activities and drilling, allowing stakeholders to quickly grasp the big picture. We can see it as a preview in Fig. 2 below.

Fig. 2. Realtime - Summary Visualization.

Realtime - Tabular Data User:

On this page, real-time tabular data related to users is presented, enabling stakeholders to directly examine detailed data. We can see it as a preview in Fig. 3 below.

Fig. 3. Realtime - Tabular Data User.

Detail - Profile User

This page displays detailed profiles of users, including their history, and providing deeper insights into specific users. We can see it as a preview in Fig. 4 below.

Fig. 4. Detail - Profile User.

Glossary:

This page serves as a reference for stakeholders to understand the terms and concepts used in the dashboard. We can see it as a preview in Fig. 5 below.

Fig. 5. Glossary.

Each page in the dashboard has been carefully designed to meet specific analytical needs, empowering stakeholders with actionable insights and facilitating data-driven decision-making.

Conclusions

The development of our dashboard has culminated in a powerful tool for data-driven decision-making, offering comprehensive insights into user maintenance and blasting activities. Through meticulous design and implementation, we have achieved several key outcomes:

In conclusion, our dashboard represents a significant step forward in leveraging data analytics to drive organizational success. Moving forward, we will continue to iterate and improve upon the dashboard, ensuring it remains a valuable asset in our quest for continuous improvement and excellence.

THANK YOU 🙌

Corrections

If you see mistakes or want to suggest changes, please create an issue on the source repository.

Citation

For attribution, please cite this work as

Santoso (2024, April 9). Agus Santoso: Self-Service Analytics Platform for Enhanced User Maintenance and Blasting Activity Efficiency. Retrieved from https://agussantoso05.github.io/index.html/posts/2024-04-09-dashboard-self-service-analytics-user-maintenance-and-blasting-activity/

BibTeX citation

@misc{santoso2024self-service,
  author = {Santoso, Agus},
  title = {Agus Santoso: Self-Service Analytics Platform for Enhanced User Maintenance and Blasting Activity Efficiency},
  url = {https://agussantoso05.github.io/index.html/posts/2024-04-09-dashboard-self-service-analytics-user-maintenance-and-blasting-activity/},
  year = {2024}
}