Data Consolidation

Ensure good data in all your systems - and open up the valuable information in your company's data silos

Increasingly, business decisions in organizations depend on analyses and reporting of corporate data. In addition to the preparation of the available data for meaningful reporting, the preparation of the data is particularly relevant. Poorly prepared data carries the risk of large losses due to incorrect analyses and conclusions. Data consolidation includes the merging of data from different source systems, the removal of duplicate content and the enrichment of incorrect information.
As such a data quality function, data consolidation is also part of data migration to transfer data from system A to system B. Without prior data consolidation, this process is error-prone and not quality-controlled and duplicates are migrated.

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When is Data Consolidation necessary?

Do you use different source systems in which company data is available?

Data consolidation helps you to identify and merge related data records and overlaps in different systems. In this way, you will not lose any relevant information about your customers or the use of your products.

All related information (e.g. about a customer) can thus be identified in the different systems. This allows you to use combined information for your business decisions.

Your data records are incomplete or not clearly assigned?

Data can be enriched with information from reference data and reference datasets in the context of consolidation. The assignment of information from reference data enables you to use your data records correctly.

Data consolidation also enables you to enhance your data with additional information from external systems (Data Enrichment/Data Enhancement). This can provide both time and financial advantages for your business processes, for example, if address data is already completely available in the customer data records and does not need to be manually enhanced.

Are you planning to integrate data or migrate data to a comprehensive target system?

Data consolidation identifies overlaps of data in different systems before they are merged into one target system. This prevents inconsistent data in the target system (for example, due to different units or formats). In the course of the subsequent data migration, you receive complete and combined golden records in your target system.

Identify duplicates in your data stock.

By cleansing duplicate content, you can cut down on your data management and save time for data maintenance as well as money for systems and storage (Data Cleansing).

How exactly does DATAROCKET Core support the consolidation of your data?

Data consolidation can be accomplished in DATAROCKET Core through an (automated or manual) workflow. The data from the source systems (e.g. a CRM system for managing customer data, an ERP system or a flat file such as an Excel list) is loaded into DATAROCKET Core, checked there according to predefined rules and consolidated. The resulting golden records are then the basis for further data analysis or data migration.