Data architecture consulting
Data architecture refers to the structured design and organisation of data within a company to optimise its management and analysis. YusApi's experience in designing customised data architecture solutions allows companies to maximise the value of their data, improve decision-making and enhance their competitiveness in the market.
Data architecture refers to the structured design and organisation of data within a company to optimise its management and analysis.
YusApi's experience in designing customised data architecture solutions allows companies to maximise the value of their data, improve decision-making and enhance their competitiveness in the market.
Why do you need a defined data architecture?
If your company has any of these problems, you probably need a defined data architecture, and we can develop a customised solution for you:
Disorganised data management
Data dispersion problems in different systems and formats.
Decision-making difficulties
Lack of timely access to data.
Need for advanced analysis
Lack of exploitation of solutions such as machine learning or artificial intelligence.
Scalability and growth
Your company may have data management problems in order to adapt to the increase in volume and complexity of data.
Regulatory compliance and data security
Data privacy regulations such as the RGPD or the CCPA impose strict requirements on data protection management.
Integration of systems and applications
Problems integrating and sharing data between multiple systems and applications.
Reduction of operating costs
A well-designed data structure helps to reduce costs by optimising the data management and analysis processes, eliminating redundancies, etc.
Our data architecture consulting services
Requirements analysis
As data architecture consultants, we meet with our clients to look at their needs and data challenges.
Data architecture design
Based on the client’s requirements, we design the appropriate data architecture that includes the data models, data flows, data storage and technologies needed to achieve the project objectives.
Technology selection
We evaluate and select the appropriate technologies and tools to implement the data architecture, considering factors such as data volume, system complexity, performance and scalability requirements.
Implementation and development
This involves setting up databases, developing ETL scripts, configuring data management systems, among other tasks.
Performance optimisation
Once the architecture is implemented, we take care of optimising the performance of the system, identifying and resolving bottlenecks, adjusting the database configuration and improving ETL processes.
Change management
Throughout the process, we help manage the organisational change associated with the implementation of the new data architecture, providing training and support to end users to ensure successful adoption.
Project management
We work leading projects, overseeing all stages of the project, assigning tasks and ensuring deadlines are met.
Contact us and find out how our data architecture expertise can drive efficiency, innovation and growth for your business today.
FREQUENTLY ASKED QUESTIONS
What types of data architecture exist?
Although there are several types of data architecture, the most common are data warehouse, data lake and data mesh, as they are the most used by companies to take advantage of and manage the competitive advantage that comes from the good use of data.
What is data architecture for?
Having a good business data structure will help us to make the most of large amounts of data so that we can improve our company’s decision making by analysing it.
What can be an example of a well-defined data architecture?
A good example of a well-defined data architecture can be seen in the implementation of the GDPR changes in Europe, where many companies, thanks to their data architecture, anticipated the changes by adapting their databases before the regulation came into force.
