Smart Data Management
An Insurtech Startup managed policy sales and payments on a INSTANDA based platform with some problems. Let's take this to an intelligent data management.
- Industry
- Insurance
- Solution
- Data Engineering
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The challenge
One of our clients, an USA Startup, dedicated to selling vehicle insurances, managed policy sales and payments on a INSTANDA based platform.
This company has some problems as regards data management:
- The more data that was added to their platform, the slower the platform's response time was. This negatively affected numerous processes.
- Trying to extract specific data from the large amounts of data that were present on the platform was a difficult task. This produced delays as regards management, decision making and the company's growth.
- Prioritizing specific data and discovering the important aspects of the business was something that the company could not achieve. Although they had the necessary information to do it, they didn't have a clear data architecture. Data was messy and it was not possible to generate value from it, or to come up with commercial strategies.
- Generating conclusions from their data was extremely difficult because they did not have their data ordered and grouped efficiently,
- Because they had manual data extraction methods, operations and processes were delayed. This did not allow a global overview of them.
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What Tekne did
Objectives
This Startup wanted to achieve a better data management and aimed to:
- Lower the amount of time involved in searching and accessing information on the platform.
- Display their data orderly and efficiently in order to establish priorities, extract conclusions and generate commercial strategies.
- Automatize their information extraction processes.
- Establish an analytic environment that is able to escalate and adapt to growth without losing quality in its services.
Proposed solution
We worked alongside the company and made business and technical surveys in search of the best strategy for solving their data access and visualization difficulties.
After some meetings, a decision was taken: the development of an analytic platform that allowed the creation of dashboards and reports that organized data visually with the aim of achieving a better general and operational management. In this way, the decision making process was enhanced.
This platform was implemented in a centralized repository, with a scalable data architecture, making it easier to use data in analytic applications (Interfaces - APIs, reports and dashboards).
- Different dashboards were also developed for data visualization taking into account the company's informational needs.
- Report generation was automated, agilizing operational processes as a result.
Besides the platform deployment, dashboard development, and report automation, our role continues with our collaboration with the company setting as an objective the application of best data management practices and facilitating the fast implementation of technological tools for data management.
Architecture
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Results
The company now has:
- Dashboards that make it possible for the company to evaluate its situation in relation to policy sales and the creation of commercial strategies.
- Automated report generation that facilitates the company's operational management.
- A safe and efficient environment that provides data for dashboards and applications fastly, optimizing infrastructure costs.
- Tools that facilitate the communication among internal applications and products or services for other companies.
- An environment that allows scalability, the ability to adapt without losing quality with a continuous growth.
