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Retail trade
Projects from the retail sector
29FORWARD supports retail companies in their digital transformation with customised data management and analysis strategies. Our projects range from the implementation of big data platforms and compliance with data protection guidelines to the modernisation of data warehouses.
The challenges
In the retail sector in particular, companies are faced with the challenge of adapting to a rapidly changing market environment and increasing customer expectations for a personalised shopping experience. Added to this is the need to efficiently manage and analyse large volumes of customer data while protecting it at the same time. The specific challenges of our projects include the migration and cleansing of outdated data sets, the design and technical implementation of data protection measures, the modernisation of data infrastructure and the analysis of customer data to promote data-driven decisions.
Our contribution
Our contribution
We work closely with retailers to help them modernise their data landscape and develop a data-driven approach to their business. We have implemented group-wide big data platforms that not only improve data quality and accessibility, but also provide deeper insights into customer behaviour. In addition, our solutions ensure compliance with strict data protection guidelines and promote the development of a future-proof, scalable data infrastructure. With 29FORWARD, retailers can utilise their data more effectively to increase customer satisfaction and compete successfully.
1. example project
Conception of a big data platform
The aim of this project was to design a group-wide big data platform that encompasses the migration, transformation and cleansing of customer data and defines a “golden record” to ensure a standardised customer view.
Successes
Establishment of a centralised data source
Establishment of a centralised data source with improved data access for various departments
Increase in data quality
and accuracy
Improving the customer approach
through a 360-degree customer view
Improving the customer approach
through a 360-degree customer view
2. example project
Customer data analysis using a big data platform
Development and implementation of a group-wide reporting suite and data visualisations based on the Big Data platform to gain insights into customer behaviour and support decision-making processes.
Successes
Improving reporting efficiency
and speed
Providing deeper insights
into customer preferences and behaviour
Support for data-based decisions
through visualised data
Support for data-based decisions
through visualised data
3. example project
Technical implementation of GDPR guidelines
Design and implementation of automated mechanisms to identify and extract complete customer records in accordance with GDPR to ensure compliance and increase customer trust.
Successes
Ensuring compliance with the GDPR regulations
Protecting the privacy of customers
and strengthening their trust
Efficient management
of requests for data output
Efficient management
of requests for data output
4. example project
Replacement and modernisation of the DWH
Consultancy and IT analysis for the replacement of the existing data warehouse (DWH) with subsequent installation of a distributed DWH based on Amazon AWS, including data migration from various sources.
Successes
Increasing the scalability
and flexibility of data management
Improvement in data processing times
Easier integration
of new data sources and analysis tools
Easier integration
of new data sources and analysis tools
Other sectors
Banking sector
Insurance sector
Public sector
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