Are you taking advantage of the added value creation potential in your company?
Business Data Analytics presents diverse opportunities for companies: whether in the area of customer loyalty, portfolio optimization or on the path to automated risk checks and pricing.
With Business Data Analytics in combination with our know-how and industry knowledge, we identify suitable areas of application along the value-added chain in your company. In doing so, we make use of statistical procedures, methods from data mining and artificial intelligence models. This is how you exploit the full potential of your data.
From the analysis of the specialist use case to the integration of selected methodologies and procedures in your existing system landscape: We will be happy to advise you.
Do these challenges sound familiar to you?
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Customer loyalty
- How can we retain our customers in the long term and generate more contract renewals?
- What helps us to better understand customers and attract new ones?
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Forecasting & Planning
- How will our business figures develop in the coming months, quarters and years?
- How many claims will occur and in what amounts in the next year?
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Process Mining
- How do we identify time- and cost-consuming inefficiencies in our daily business processes?
- How do we reduce repetitive work in the team and create more space for innovation?
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Risk Minimization
- How do we detect fraud in time?
- How do we identify customers or customer groups with particularly high risks of claims occurring?
Our Solutions
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With Business Data Analytics, we provide you with the right answers
More customer loyalty thanks to classification and clustering methods
Using classification and clustering methods on structured and unstructured data, we help you to better understand your customers and find out which policies are most likely to result in contract signings and which are not. We can optimize your portfolio on the basis of these experiences.
Optimized forecasting with Best Fit models
Together with you, we develop Best Fit models with timeline or regression analysis based on different data sources to improve your planning and forecast. This allows you to better respond to scenarios as they occur.
Transparency by Process Mining
Process Mining creates transparency and in-depth understanding of your business processes. Together, we identify the optimization and automation potentials by uncovering bottlenecks and vulnerabilities in your entire business process chain.
Minimizing risks with Machine Learning
Use Machine Learning to make predictions about which claims may indicate insurance fraud. You save costs with this approach, as no payments have to be made in these cases.
Our Service
We assist you during the entire Business Data Analytics introduction process: From the analysis of the functional problem to the evaluation of technical options and prerequisites to the selection and implementation of suitable analytical methodologies.
- Using selected tools from the Analytics product portfolio, we advise you during the entire introduction and implementation of Business Data Analytics solutions.
- We analyze your data basis and identify possible use scenarios for an effective and efficient use of suitable methods and models.
- We take over the training and validation of the models for reliable and understandable results.
- We take into account your governance requirements for the secure deployment of the analytics applications.
- We ensure smooth integration into the productive operation and assist you with the continuous further development.
- We provide an appealing visualization of the results at the push of a button by integrating the SAP Analytics Cloud.
"Business Data Analytics offers a number of use cases and optimization potentials along the entire value-added chain. Together with you, we identify the ideal areas of application where you can rely on our expertise and in-depth industry knowledge."
Christian Levin
Vice President SAP BI & Analytics
The right use is crucial...
5 reasons for your Business Data Analytics project with msg
