In Geographic Analytics, key figures are visualised on maps in order to analyse them on the map and derive recommendations for action.
Objectives: Elimination of unrealistic solutions, reduction of data requirements, and transparency of complex problems
Result: Companies / organisations can make faster and better decisions by using GA and thus save costs and time.
In a world of big data, traditional business analyses quickly reach their limits: Data is abundant, but the process of sourcing, cleansing and understanding the data can be tedious and complex. In addition, many data-based approaches to solving business problems are out of touch with reality.
Geographic Analytics (GA) was developed to address these issues; GA accelerates traditional data analysis by visualising relevant data on maps. Analysis and decision-making are thus shifted to geographical maps. GA enables more effective management decisions with deeper insights and improved alignment.
Compared to Geographic Information Systems (GIS), the focus of GA is not only on information transfer, but explicitly on the use of map visualisations as a decision support system. This enables faster and more realistic decision-making in complex situations.
This video explains the basics of Geographic Analytics. What characterises Geographic Analytics? What advantages and added value does it offer?
This application example presents the implementation of GA in location analysis. The aim is to use decision metrics to determine the optimal location for the opening of a new ATM. The main metrics for this are population density, existing locations of your own bank and the partner bank as well as supermarkets. By visualising these metrics, the best possible solutions can be worked out intuitively.
This application example presents the implementation of GA in network analysis. The aim is to use decision metrics to identify optimisation opportunities within the supply chain. The main metrics for this are the locations of the distribution centres, the transport routes and the transport volume. Inefficient processes can be identified by visualising these metrics.
This application example presents the implementation of GA in risk management. The aim is to be able to react quickly to unforeseen events, such as an earthquake, using an existing visualisation of suppliers and their contact information in order to prevent an interruption to the supply chain. The visualisation can be used to identify suppliers at risk of failure and alternative suppliers in the event of a disaster.
In this application example, the implementation of GA in the potential analysis for wind farms is presented. The aim is to use decision metrics to determine potential locations for wind farms. The main metrics for this are the average wind speed, the distance to urban centres and nature conservation areas as well as the connection to power lines. By visualising these metrics, the best possible solutions can be worked out intuitively.
In the following video interview, Prof Dr Jozo Acksteiner (Fulda University of Applied Sciences) and Dr Michael von Wagner (University Hospital Frankfurt) explain under the facilitation of Erik Lorenz, explain how, on the basis of the Fight-Covid-19 project, a cooperation between the University Hospital Frankfurt and the Hessian Ministry for Social Affairs and Integration (HMSI). The end of project served to support the Hessian Corona planning staff in the planning of ventilation units. In doing so, they share experiences and perspectives for geographic data analyses in the health system and beyond.
Every day, managers in business and public organisations make decisions, often under time pressure or with incomplete information. Nevertheless, these decisions determine the success or failure of an organisation. In this video for Hessen-Schafft-Wissen, Prof. Dr Acksteiner talks to Erik Lorenz about how Geographic Analytics can be used to make efficient decisions in politics and business.
The aim of the GEOSCI research project is to establish Geographic Analytics (GA) as a powerful tool for solving challenges in areas such as logistics and mobility. A methodological guide and catalogued practical use cases are intended to enable companies to implement geo-analytics projects independently.
The project is funded by the House of Logistics and Mobility.
Innovativeness of the approach
The integration of spatial data into the decision-making process offers an innovative approach that provides considerable added value for companies and organisations.
Transferring research into practice
Research results are transferred into practice by translating scientific findings on data visualisation types, decision theory and artificial intelligence into concrete use cases. This enables organisations to apply the functionality of GA for a wide range of application areas in real-life scenarios.
Simple, concrete instructions for action
The project provides support for companies and organisations that have not yet dealt with GA in the form of a practical guide with a market analysis and application catalogue for their own GA projects.
We want to enable companies, especially start-ups and SMEs, to implement Geographic Analytics projects. We do this by providing this guide, including market analyses and an application catalogue.
Benefits of Geographic Analytics (GA) for companies and organisations:
In today's business world, the efficient, intelligent use of data plays a critical role in the success of organisations. GA offers an innovative approach and a variety of benefits that will take your business decisions to a new level.
1. Effective tool for making strategic location decisions
With GA, only data relevant to decision-making is included in the analysis. This means that significantly less data is required compared to traditional mathematical approaches to data analytics, thus significantly reducing the time required.
2. Analysis efficiency
By using geographical data, framework conditions such as regulatory obstacles or transport infrastructure can be taken into account in the analysis right from the start. This means that incorrect solutions can be ruled out in advance.
3. Transparency, common understanding of data
With the help of the GA, it is easier to recognise correlations between individual factors on the map. This creates a shared understanding of complex issues, which then leads to faster and more comprehensible decisions.
4. Diverse application possibilities in strategic management
The methodology of Geographic Analytics is flexible and can be used effectively in a wide variety of areas. This includes location planning, network planning, business expansion planning, urban planning, and much more.
All in all, GA is an innovative technology for making efficient management decisions. Feel free to contact us to discuss specific use cases with applied research projects (e.g. in the context of theses or joint research proposals).