When Data Integration Becomes Essential

Well-planned, controlled and sound principle-based data management plays an important role in modern-day business success. Through our comprehensive data management processes we can help you get the most from data as a valuable asset in your company. Our services include from data migration and master data management to data quality, data governance and data stewardship. In addition, we provide data security, data investigation, data monitoring and data control services. As part of our service offering, we facilitate full and easy integration as well as exchange of essential data and thus help to eliminate and minimise inconsistencies and redundancies in data.

 

What Data Integration Entail

The process entails giving data users access to data stored in various sources in a uniform manner. Integration is important to minimise data loss, incorrect decision making because of data inconsistencies, and overload of the information system because of redundant data.

 

Applications

Your company may, for instance, merge with another firm and need to merge your databases to exploit the full benefits of the merger. The data resides in various places and may also be stored in seemingly incompatible databases. We will merge the data from the various sources, eliminate duplicate data and optimise the database for best retrieval possibilities.

In another instance, you may run a scientific project and require the information stored in various repositories to be combined into a single database that can be used by all your project team members. We will not only integrate the data from the various sources into a single compatible database with a user-friendly retrieval interface, but also ensure that the scientists will be able to share their existing data, add to the database and collaborate on projects.

 

Various Approaches

Data warehousing is often a suitable solution for the merging of existing data repositories; allowing the DataWave team to extract, transform and upload data from various sources into a new viewing system so that compatibility between the data sources can be achieved. With this method we can give you well-designed and controlled information architecture because the data is combined into a single retrieval system. This helps to minimise the time needed to retrieve information.

We ensure that the data can be kept up-to-date through the relevant integration approach. Where needed, we can create a real-time data retrieval interface, which ensures freshness of data since the information can be retrieved from the original and regularly updated databases. For this process we apply adequate mapping between the mediated plan and the original data source plan. This facilitates the complete transformation of queries into queries that match the original source plans. Our team follows the most suitable approach for the specific situation.

As a data management company with years of experience in managing data sources we also address semantic integration conflicts which can exist between the databases. Coming back to the first example – where your company merges with another, the definitions and meanings in your databases may differ. To overcome such integration conflicts, we use the most relevant approach such as an ontology integration plan where the schema terms are defined to address semantic conflicts. Where needed, we also follow a benchmarking approach.

To avoid the problem of disparate data systems, which create the silo effect and thus make decision making based on data difficult, we help client companies to overcome the problem of isolation of data. This is where our expertise in data modelling and integration becomes even more important. We understand the principles of relationship building between data and use an integrated data modelling approach to populate the database from the agreed upon master data sets for uniform and relevant data. Our experts consider the various sources and can design a relevant mediated schema and create the necessary adaptors.

 

Why DataWave?

DataWave works with the client’s company and all relevant role players within the company to understand the problems faced and solutions required. We understand that no two companies or problems are exactly the same and as such, we can offer customised solutions in addition to well-proven models for integration. Our team has the necessary experience to quickly identify potential problem areas and can address such efficiently. We don’t believe in trial-and-error approaches which could lead to time wastage and data loss. Our methodologies are proven even though we follow a flexible approach to integration to ensure that the client requirements can be addressed sufficiently.

Contact our professional team to discuss your particular database management, data warehousing and data integration requirements and get solutions to help your company make the most of data as a valuable asset.

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