Fill your data warehouse with healthy data

Create a valid database for comprehensive analyses out of your data warehouse

Business wants to be able to respond better and faster to customer needs. This results in the requirement to integrate data from all systems and thus obtain a 360 degree customer view of the business partner - the basis for comprehensive and reliable analyses. In many companies, however, IT consists of an evolved structure of heterogeneous systems, which makes precisely this enormously difficult - if not impossible. The customer data for efficient data warehousing is distributed in different systems, redundant data dilutes the customer view, and golden records cannot be formed. 

In order to implement a data warehouse successfully, the quality of the data should be permanently at a high level. If the data basis is not correct, reliable evaluations are almost impossible. Business risks are not recognized in time, potentials cannot be exploited. The buying behavior of your customers is misinterpreted. Adjustments to the business strategy are made too late. Only when high-quality data is included in the analysis can reliable strategy decisions be made.
 

When using a data warehouse without professional data management, the following challenges arise:

• Variety of heterogeneous data sources and different data structures.
• Redundancies in master data - within and across systems.
• Different quality levels of the data sources.
• complex metadata management.
• Redundancies leading to incorrect matching.
• formation of the golden record not possible and thus no 360 degree customer view.

What is a Data Warehouse?

A data warehouse is a central data collection whose content is composed of data from different sources. The data is provided by the data sources and loaded into the data warehouse. They are used for data analysis and business decision support in the company. The data warehouse is an important pivot around a key business asset: all relevant data from a longer period of time is stored here, so that this data is also available for future analyses. 

The basis for filling a data warehouse and the subsequent business intelligence analysis is therefore current, complete, error-free and redundancy-free data. In addition, the data from the source systems must be prepared in such a way that it can be integrated into the business data warehouse automatically and in a standardized form (data warehousing). Here, redundancies within and across systems as well as the varying quality levels of the data sources are the greatest challenges. Whether data warehouse or business intelligence: make comprehensible and secure business decisions on the basis of high-quality and standardized data - with Uniserv.
 

Data warehousing smooth and redundancy-free

The Uniserv solutions help you with data integration to transfer your data smoothly and without redundancy to other systems in your IT infrastructure for optimum data warehousing. With Identity Resolution, Uniserv offers an efficient possibility of consolidating data records company-wide from all systems involved (data consolidation). Similar and identical data records are identified with error-tolerant matching algorithms. If the address elements were previously checked postally and corrected if necessary, the accuracy is increased due to the correct elements. Additional matching criteria such as telephone numbers, e-mail addresses, tax numbers or similar can be included in the matching process at any time. With identity resolution, you ensure a qualitatively optimized and redundancy-free database in your data warehouse and can thus present reliable business intelligence analysis results. Like all other Uniserv products, Uniserv Identity Resolution is also available to you as a real-time or batch solution.
 

Faster, more productive and on target

With Uniserv, you keep your operative activities going, prepare analytical evaluations and planning and, thanks to optimized data quality, can use your new applications productively more quickly. And you are in a position to adhere precisely to the time and budget specifications of your data warehousing project.
 

Profit with data warehousing tools and solutions from Uniserv:

• Data as required by the business for effective data warehousing.
• Support throughout the project by experienced consultants.
• Integration of multiple operational functional areas.
• Cost optimization through standardized methods and proven best practice model.
• Permanent transparency for business departments and IT management.
• optimized data quality for efficient and profitable work.
• Support in the change process as part of the data warehousing project.
• Implementation of the Single View of Customer principle under the premise that different users of the data also have different demands on the data and its quality.
• Consistency of data that contains all relevant information.