USU was among the selected companies that Forrester Research, the American analyst firm, has invited to participate in The Forrester Wave™: Enterprise Service Management, Q4 2019. USU Valuemation was ranked in the highest possible category as a “Leader”.
USU Group is strengthening its market presence in Belgium, Netherlands and Luxembourg cooperation with the Dutch consulting firm NextSales. Interested parties can obtain more information this November by attending free professional conferences in Rotterdam.
In the second quarter of 2019, consolidated sales of USU Software AG and its subsidiaries rose by 10.3% compared with last year to EUR 22.9 million. Contributors to the trend were the strong license and SaaS business and the growth in the company’s foreign markets.
The trend towards central, enterprise-wide shared service centers is increasing the demand for solutions for enterprise service management. USU was able to win several well-known new customers from the engineering services and manufacturing industries.
The Dutch consulting firm NextSales is now marketing the USU software Valuemation. NextSales has an extensive network of European customers and business partners and has been a partner of the USU subsidiary Aspera since 2018.
The new version offers performance and time savings as well as higher resource efficiency through shorter and more flexible data load times from the source systems. Other new features include customizing in the area of multitenancy and more.
Learn how the full-service provider EWERK Group uses the USU software Valuemation as its central platform for customer-centric service management and is expanding Valuemation into an ERP and CRM system as part of that.
The USU Group increased its consolidated sales by 4.6 % to EUR 22.0 million in the first quarter. The license business grew by 7.1% year-on-year, and the cloud and maintenance business recorded a disproportionately high increase of 14.7% to EUR 6.7 million.
The new version of USU's software for IT analytics allows analyses to be significantly accelerated: by using database-specific indices, the runtime of database queries is reduced by up to 70%.