With data being the new gold of the digital transformation era, the cost impact of data quality is becoming more and more relevant. In today’s world data is used for decision making across the entire organization. Are companies aware of the economic impact data quality problems can have on their business?

This article will show you how: By leveraging an enterprise solution, SAP Information Steward and applying a lean methodology Six Sigma, we can offer companies clear evidence of their data quality, the economic impact their business is suffering from quality issues and, even more important, the right tools to minimize this cost.

The advanced analytics solution delivered by Clariba has saved thousands of hours of manual work for Servihabitat. Data consolidation processes, which previously required 2 weeks of manual work, are now fully automated, and Servihabitat’s tier 1 customers are receiving the best possible service.

After this critical success, Servihabitat is now extending the solution to its entire customer base, providing them with an unparalleled real-time service, not seen in this industry before.

Clariba and Servihabitat have become agents of value in the real estate industry by not only creating internal efficiencies, but also automating mass delivery of information through the value chain.

Clariba and Corporater sign a strategic partnership to deliver the Corporater Business Management PlatformTM. This partnership will open new avenues for both companies through their shared client base. Together, Corporater and Clariba will cater to government entities and large enterprises.

To successfully deliver on its roadmap, FEWA embarked on a digital transformation journey, moving towards becoming a data-driven organization, and selected Clariba to help integrate vast amounts of scattered data from multiple sources with the objective to achieve actionable insights. Thanks to the solution delivered by Clariba, execu-tives at FEWA now have a clear perspective on the fulfillment of their corporate objectives — decisions are now based on meaningful and reliable insights.