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Public sector
Projects from public clients
We accompany the digital transformation in the public sector and support public clients as a partner in the planning and implementation of their digitalisation and business intelligence projects.
The challenges
Government authorities and public institutions are dependent on utilising their IT infrastructure and services in a needs-based and therefore cost-efficient manner. In the course of digitalisation, the outsourcing of data and business processes to the cloud is indispensable and, in addition to scaling resources, also enables the more efficient transfer of information between different authorities, departments and stakeholders in the public sector. Critical infrastructure institutions and facilities (KRITIS) in particular require a very high level of reliability, data protection and data security. Against this backdrop, key factors need to be taken into account in the public sector and an iterative approach is required in order to identify risks at an early stage and implement complex IT projects in a targeted and cost-efficient manner.
Our contribution
Our contribution
29FORWARD accompanies the digital transformation in the public sector and, as a long-standing partner, supports public clients in programme and project management, business analysis and technical implementation. An iterative approach with agile project implementation creates constant transparency and continuous improvement as well as the ability to react to risks at an early stage. With our values and in-depth expertise, we master the complexity of IT projects and work together with our public sector clients in a solution-orientated manner to achieve sustainable results.
1. example project
Program management data and analysis platform
The aim of the programme is to set up a Group-wide data and analysis platform to fulfil the digital strategy of a European commercial airport. The data pool, which complies with data protection regulations, serves as a central repository in a private cloud in strict compliance with security requirements in order to make all relevant Group data centrally available for decision-making and innovation and thus utilise the growing volumes of data efficiently. The data lake forms the essential basis for machine learning and AI.
Successes
-50-80%
Reduction of reporting effort by 50-80% through efficient data preparation
Reduce IT operating costs
by scaling technical resources for storage and computing power in the cloud as required
Gaining knowledge
from linked data
Gaining knowledge
from linked data
2. example project
PoC for passenger tracking at a European airport
Implementation of a proof of concept (PoC) for passenger tracking as part of data collection for customer journey analysis using available data sources (e.g. WLAN handover data). The PoC served as proof of concept and an innovative basis for improving service quality and expanding the service offering by linking various data sources.
Successes
Increase in the Passenger Experience Index (PEI)
Passenger Experience Index
Optimisation of routes
and reduction of waiting times
Increased sales
through dynamic advertising
Increased sales
through dynamic advertising
3. example project
Introduction of a new core banking system
Transformation of reporting for National Health Service (NHS) Integrated Care System (ICS) in the BNSSG region by utilising big data technologies and PowerBI reporting and the necessary cultural change management.
Reporting has evolved from a manual, labour-intensive reporting process to a modern Microsoft PowerBI performance dashboard that focuses on insight and cross-referencing for users. Automated data pipelines and reporting in Microsoft Azure and PowerBI streamlined the overall process. This was supported by our change management with the aim of creating a culture of data-driven decision-making.
Successes
Deeper understanding
of patients’ needs and behaviour
Impact analysis
of KPI changes on the quality of patient care
Clear data visualisation
for data-driven decision-making
Clear data visualisation
for data-driven decision-making
Other sectors
Banking sector
Insurance sector
Retail trade
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Do you have any questions, would you like to discuss your project with us or are you looking for technical support? We look forward to talking to you.
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