There is a general consensus on the enormous value of data. But how much is unstructured data worth? How much is non-comparable data worth? Is inaccessible data really worth anything?
Data Integration is the process of combining information from different sources and formats.
Companies often face two major problems that can be solved with Data Integration systems:
- Heterogeneous information: Most companies have multiple databases organized in different ways. These information silos cripple productivity. At best, they cause unnecessary duplication of efforts if several areas of the organization are devoting time and resources to managing the same information. At worst, they prevent access to key data to people or departments that need it.
- Unstructured information: Companies have an increasing amount of valuable information that is not organized in databases. This information can come from internal or external sources and be presented in different formats. As a result, this data usually remains unanalyzed.
3.14 offers Data Integration solutions that allow companies to collect information from different sources, combine it and provide a unified view.
Custom Data Integration
A good Data Integration system must combine several processes:
- Extraction: The first step is to gather information from different sources, both internal and external.
- Transformation: Data must be cleansed and transformed. This phase involves different process: standardization, creation of unique IDs, removal of duplicates, field validation…
- Presentation: The final goal is to present a unified view of data. This way, information can be easily understood and compared.
At 3.14, we design each of these processes according to the needs of our clients. Our solutions, flexible and scalable, use different systems (data warehouses, networked databases, API integration
...) to maximize the benefits.
Benefits of Data Integration
Data Integration provides important benefits, including:
- Accessibility: Thanks to Data Integration, information will be available to those who can take advantage of it. For example, it is common that the Sales and Marketing departments need to share their data with ease.
- Speed: Standardization streamlines data entry and retrieval processes. Using the same example, a Marketing employee will be able to get data from the sales department with a simple click.
- Update: Organizations work with data that is constantly changing. Therefore, a good Data Integration system should enable real-time updates.
- Removal of duplicates: Integration process remove duplicate values. For example, the same information collected on a client, but tagged differently.
- Consistency: Conflicts between data, such as those caused by the concurrence of the updates, are eliminated during the cleaning process.
- Reliability: Integration improves data verification processes by eliminating erroneous values, invalid references, incomplete fields or obsolete information.
- Ease of maintenance: Process automation lowers the costs of data maintenance.
The advantages are many, but they are all aligned towards the same goal: to extract the maximum value from the data.