Your salvation for Data Driven Decisions : a good data architecture
Do you have a data concept and an overview of your data and information flows?
Every day hundreds of databases are filled with terabytes of information, also in your company. Your data may or may not support a solution.
This is where we come in. We solve even the most difficult cases.
For clients from the healthcare sector, it should be noted that DICOM, HL7 and others are just as normal for us as interfaces to MS Navision, HIS (such as Orbis, Phönix, Ines, KISIM) and of course to the common BI systems TIPHCe, Jedox, QlikSense, Power BI.
We do much more than just optimise BI architecture. Our focus is on transforming your business into a data-driven enterprise by optimising the data architecture of your entire organisation.
With our expertise and knowledge, we ensure that your data is organised, structured and accessible to support your business goals and decision-making processes.
Data Architecture: Understanding its Importance
Data architecture refers to the design of the data structure and processes that are used to manage and store data within an organization. It includes data modeling, database design, data management practices, and data security measures.
The Importance of Data Architecture
Data architecture plays a critical role in ensuring the success of projects and the overall functioning of a company. It helps organizations to save money by reducing the risk of data loss or corruption, improving data management processes, and reducing the need for costly hardware upgrades.
According to a study by Accenture, companies that invest in data architecture can save up to 35% on IT costs. In addition, a report by IDC estimates that poor data management costs organizations worldwide approximately $3.1 trillion each year. This highlights the importance of having a well-designed data architecture in place to mitigate such losses.
What Does a Data Architect Do?
A data architect is responsible for designing, building, and maintaining an organization’s data architecture. They work closely with other IT professionals, business leaders, and data scientists to ensure that the data architecture meets the organization’s needs and goals.
The responsibilities of a data architect include:
- Designing and implementing data models that reflect the organization’s data requirements
- Selecting and implementing data management technologies, such as databases, data warehouses, and data lakes
- Ensuring data security and privacy by implementing access control measures and security protocols
- Collaborating with other IT professionals to implement data integration solutions
- Monitoring and maintaining the performance and availability of the data architecture.
In conclusion, data architecture plays a crucial role in the success of organizations. By reducing the risk of data loss, improving data management processes, and reducing IT costs, data architecture helps organizations to maximize their return on investment and achieve their goals.
