Engel & Völkers Licence Partner Investment Consulting > Blog > Engel & Völkers Investment Consulting partnering with realxdata

Engel & Völkers Investment Consulting partnering with realxdata

Frankfurt a. M./Berlin, 30th July 2018 – Engel & Völkers Investment Consulting GmbH (EVIC) has selected the technology company realxdata GmbH as new partner for big data analysis in the areas of portfolio analyses, as part of transaction processes and for market research. The decision has been made after an extensive requirements and market analysis with several company departments involved. 

EVIC is the central partner for portfolio and interregional investment matters within the Engel & Völkers network. With more than 300 subsidiaries in Germany, the Engel & Völkers Network is one of Germany’s leading brokerage firms of residential and commercial real estate. 

realxdata as big data expert is going to digitalize, structure and visualize EVIC’s market and real estate portfolio data from now on and link this information AI-based with direct and indirect real estate market KPIs sourced from more than 100 external sources. This enables high-quality portfolio and property analyses as well as property evaluation with one click.

Andreas Ewald, Managing Partner EVIC: „We were looking for an immediately implementable solution with high qualitative standards to support us in this increasingly accelerated and data-driven real estate market. Aim is to provide our clients with a competitive advantage. realxdata’s big data technology has fully convinced us with its up-to-date data, data visualizations, Processing speed, the variety of data sources and simply the ease of handling. “

Dr. Titus Albrecht, CEO realxdata GmbH
: „With Engel & Völkers Investment Consulting we acquired one of Germany’s leading real estate brokerage firms for our intelligent data platform. If you would like to anticipate investment possibilities and market developments early, realxdata is the right company for you. The digitalization and structuring process of portfolio data often already shows optimization opportunities.“

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