Data Warehousing

The core of a business intelligence strategy describes a data warehouse architecture. It harmonizes data from different sources and ensures the quality to calculate key figures of the highest quality. biX Consulting advises you to implement a modern and agile data warehouse that allows to quickly meet the requirements of the business departments, while ensuring high availability and data quality in the long term. Whether on-premise or in the cloud, with a connected data lake or purely virtual - the choice is yours and we will help you select the right architecture for your company.

SAP Integration

As a consulting company with a focus on SAP, we place a main emphasis on the integration with your SAP ERP or S/4 HANA systems in our solutions. Regardless of whether you operate your systems in the cloud or on-premise, we advise you on how to evaluate your diverse data in a harmonized and integrated manner. An architecture tailored to your requirements allows you to combine your internal company data with additional internal and external data sources and use the resulting additional information to make better decisions and achieve your business goals.

Business integration

A data warehouse can only as good as it is used by the end users. In addition to the technical possibilities, the business requirements in particular are in the foreground. biX Consulting sees itself as an integrator between the business departments and the IT. With our profound knowledge we make sure that the business requirements are understood and thus implemented correctly in the system. The result is a solution that exceeds the expectations of the business departments and also meets the requirements of the IT in terms of maintenance, integration and availability.

 Review

If you are already operating a data warehouse and are not satisfied with the current performance or agility, please contact us. In our performance and architecture reviews, we show detailed potential for improvement and, if required, also support you in the implementation. You can compile the review content individually from our modular system and thus develop a roadmap to get the most out of your existing system and therefore significantly increase acceptance among end users.

On-Premise Data Warehouse

BW/4HANA and SAP HANA provide a data warehouse platform that not only ensures an immense performance gain in the execution of reports and analyses. Flexibility in the creation and adaptation of data models as well as the possibility of virtual modeling lead to high agility and shorter development cycles. These capabilities and our years of experience will take your data warehouse to the next level. We advise you on the selection of the right components, the best architecture for you, the integration with your existing system landscape including your SAP and non-SAP systems and, if desired, also take over the complete implementation.



Cloud Data Warehouse

To build a modern data warehouse directly in the cloud, there are various platforms with different approaches and architectures. For us, the focus is on the integration with your existing SAP systems, both in the cloud and on-premise. The solution must be an agile, cost-efficient and high-performance architecture that supports your business decision-making processes and makes sustainable and new knowledge usable from the multitude of data.

SAP Data Warehouse Cloud

With the SAP Data Warehouse Cloud, SAP offers the possibility of setting up a department-centric data warehouse completely in the cloud. Data can be integrated both from the cloud and from on-premise, persisted or virtual. The integration of SAP Data Intelligence extends the platform with additional ETL and AI functions. HANA technology and the close integration with SAP Analytics Cloud enable high-performance analyses and reports that can be modeled and created by the departments themselves.

 

Databricks

As a state-of-the-art native cloud platform, Databricks offers the possibility to build a data lakehouse directly on your existing data lake based on SPARK technology. This combines the classic advantages of a data warehouse with the flexibility in storing semi-structured and unstructured data and the cost efficiency of a data lake. In addition, Databricks as a platform offers a wide range of AI functions that you can integrate directly into your data lakehouse and thus seamlessly make available to the entire company.

 

 Snowflake

As a native cloud data warehouse, Snowflake provides centralized and cost-effective storage for both structured and semi-structured data. The unique scaling capabilities allow for any number of concurrent users and accesses. The direct use of SQL as the central query language, also for semi-structured data, in combination with the corresponding reporting and AI tools, enables the realization of typical business intelligence scenarios as well as highly complex AI use cases in a state-of-the-art environment.

 

Do you want to build an enterprise-wide data warehouse on-premise or on the cloud? Or take an existing data warehouse to the next level? Get in touch with us!

Contact Person

Sebastian Blötz

Manager Consulting

Pin It on Pinterest