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How companies can overcome data integration challenges | Series: Spotlight
Video contribution
August 8, 2024
Practical ways to achieve greater data literacy, self-service, and efficient integration
In this edition of "Dataciders Spotlight," Karsten Pilz-Glombik, Senior Managing Consultant at Dataciders' SD&C location, answers our questions. His area of expertise includes SAP technology as well as data and analytics, with a particular focus on data management, business intelligence, analytics, and generative AI.
Challenges and solutions: Karsten discusses the current and future challenges that customers in his field have to overcome. These include integrating a wide variety of data sources, focusing on data products, and promoting self-service and greater personal responsibility in specialist departments. He explains how concepts such as data mesh and data fabric can provide support in this context.
Trends in data analysis: Karsten provides an outlook on exciting developments in the field of data analysis, such as the integration of AI technologies and digital assistants (co-pilots) that operate in compliance with data protection regulations. These technologies are revolutionizing the creation of reports and dashboards by enabling ad hoc queries and customized, well-structured responses.
Successful projects: Karsten describes a real-life example in which Dataciders helped a public utility company optimize its decision-making process. To this end, software was developed for the supply of materials and tools to construction sites, ensuring that the necessary special tools are always available and delays are avoided.
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