Success Case by Tekne
Data Visualization
Applied to the monitoring of a mobile APP analytics
Fintech industry
Problem Definition
A company from the Fintech industry dedicated to the development of financial education products, has a mobile application for its end users. This application is linked to Google Cloud Platform, more specifically, to the Google Analytics service that allows obtaining statistics from it.
However, the commercial department of the company realized there were certain problems regarding the handling of the usage data of its application:
- Despite the fact that they had a platform with visualizations that allowed the drawing of conclusions about the application usage data (downloads, number of active users, content display time, etc), the sales team required certain indicators and data that were not on the platform. Many times, they were presented in a different way than what they needed. Therefore, by not having a proper visualization of their data, there was not a clear understanding of what was happening in the company and this usually led to making the wrong decisions.
- A great deal of time and effort was spent trying to manually retrieve missing information and indicators.
- There was difficulty in communicating results and trends to the rest of the company's departments.
- They lacked a simple way to spot patterns and trends because they didn't have the exact information they needed. This also made it difficult to predict future behavior and the ability to plan accordingly.
Objectives
This company wanted to achieve a better management of the data coming from its application and for this they wanted to:
- Have their data available in an orderly, efficient and personalized way, with specific indicators and visualizations that were appropriate to their information needs in order to establish priorities, draw conclusions, detect patterns, predict future behavior and build business strategies.
- Build an analytical environment that allowed scalability without the loss of quality in services.
Proposed Solution
- We worked in tandem with the company to carry out an evaluation of its business and techniques with the objective of identifying the best solution for its data visualization problems.
- After several meetings, we decided to implement an analytical platform in a centralized repository, with a scalable data architecture, thus facilitating the use of data in analytical applications (Dashboards and Reports).
- It was also agreed to develop a series of dashboards and reports that visually organize the data, with their metrics, indicators and visualizations defined by the company in order to achieve better management and facilitate the decision-making process, as well as the preparation of commercial strategies.
- Today, we continue collaborating with the company with the objective of establishing best practices in data management and facilitating the fast implementation of technological tools for management.
Arquitecture
Results
After working with us, the company now has:
>> Dashboards that make it possible to know the situation of the company in relation to the use of its mobile application, the creation of customer profiles according to their behavior, and the generation of commercial strategies based on it.
These dashboards have indicators such as:
- Online users
- Downloads
- Subscriptions
- User at risk of Churn
>> A safe and efficient environment to provide data to Dashboards and applications quickly, optimizing infrastructure costs.
>> An environment that allows scalability, that is, that it can be adapted without losing quality in services with continuous growth in a fluid manner.
We empower your Data
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