News Archive / Projects

We supported a customer in the telecommunication sector by resolving production problems. By preparing technical requirements documents, patches for currently occurring defects could be commissioned. By connecting the planning tool of the department to the corporate bug tracking and version control systems as well as by rewriting the vendor management plan the defect handling was improved.

For a new customer from the automotive sector we analysed a very complex, historically grown SQL query, which influenced the performance of a customer application significantly. We identified general improvement options and supported at particular optimisation steps.

At a customer we introduced agile methods via a pilot project, in which the methodological focus was put on Scrum and test driven development. The business goal of the project, for which we provided the Scrum Master and most developers, was to further develop an existing Java Swing rich client application.

TNG accomplished a security audit of the frontend systems of a large client for several weeks. By on-site security checks, vulnerabilities of the systems were identified and potential security risks analysed. We accompanied our client during the implementation of measures to increase and then to sustain the security level.

For the IT department of a bank we developed a JIRA reporting plugin, that determined the progress and performance of the IT projects and teams that are managed with JIRA. Issues, working times or events within a certain time frame were evaluated and the results were grouped and sorted in the reports. Already in December 2010 we implemented five JIRA reports which were used by the customer from the beginning of the year on. In the meantime we implemented six further reports. Until the end of the year the plugin shall offer approximately 25 reports.

After the successful data migration last year we completed the consolidation of the CRM applications to a single application stack at a medium-size telecommunication carrier by a last, even more comprehensive migration of CRM data. TNG provided a large part of the project team and the project manager. Having automated the creation of test environments for three applications, we developed a complex "big bang" migration, which was executed in a test environment every night to reduce the risk. By using agile methods consistently we could integrate newly detected tasks easily into the development process. The close collaboration with the affected business departments ensures their acceptance and is essential for handling the high complexity of the project.

For a customer in the franchise gastronomy sector we integrated the modern, component-oriented Apache Wicket framework into an existing Apache Struts/Common Controls web application. In parallel we implemented and extended some workflows for supporting the product marketing and supply department processes.

For a customer in the telecommunication sector we created a generic connection of Java JMX to the internal monitoring system of the heterogeneous infrastructure in the data center with over 70 servers.

Based on our assessment of the Business Intelligence landscape of a pan-European B2B mail order company we supported implementing the proposed BI strategy with Scrum. After TNG had carried out workshops with the relevant departments they started to write requirements in the form of user stories and prioritized them centrally. The resulting development of the data warehouse running on Microsoft SQL Server was conducted by TNG with an agile development team in 14-day-sprints. We attached great importance to the business department defining detailed acceptance criteria and verifying them at the end of the sprint. Thereby a company-wide consistent view on the valuation of the relevant business processes became possible.

We supported a telecommunication provider in preparing a concept for protecting personal data from uncommitted analysis. The concept was derived from the privacy policy of the corporate group. It concretely described the policy compliant analysis of customer data from the data warehouse using SAS.