Industry
Every company whose goal is sustainable profitability and growth aims to increase the effectiveness of all types of data – internal and external – in decision-making processes, and thus to maximize operational and financial awareness as well as efficiency.
Mindberg.ai sorts and implements this general aim and helps companies how and to what purpose they can process this data:
- Ensure that the parts of the value chains in the company’s system are integrated with each other based on automation
- Provide real-time and continuous communication of all value chain steps with each other, thereby revealing intelligent and adaptive industrial processes in the company’s eco-system
- Create a faster, more flexible, higher quality and more efficient integration with low cost and short return on investment with digitalized and integrated processes
- Ensure that the data obtained/revealed in this integration creates the basis for “decision-making” processes in the most appropriate way for a certain purpose
To help companies achieve these purposes, Mindberg.ai examines the existing technology and data infrastructure on site with their participation and identify the areas of development by revealing the differences between the existing and best practices.
Within the scope of the projects carried out with the participation of company representatives, Mindberg.ai extracts an inventory of Existing Competence (human, process, energy, technology and data) and Digitalization + Integration Ratio of the company’s eco-system. As a result of this, a realistic and applicable digital transformation roadmap is presented.
“Adopting the roadmap by the stakeholders” is the most important step as it is created collaboratively by the stakeholders themselves. At this point, Mindberg.ai undertakes the mission to encourage stakeholders to adopt the roadmap. They match (correlate) the Analysis and Road Map outcomes with the customers’ aims to help them prioritize what needs to be done.
Mindberg.ai helps companies by enabling machine data to be digitized, visualized and interpreted with the help of data collection technology based on mindset sensors, which provides the evolution of Industry 4.0 and Cyber-Physical Factory (Data Management, Data Architecture, Data Integration) services.
Project Scope
Mindberg.ai delivers services to financial institutions by way of carefully staged project components.
- Data Management: This stage aims to build area-specific, cloud-native and scalable big data infrastructure for analytics, real-time scoring, decision management and monitoring.
- Scoring Services: At this stage of the project predictive models and optimization algorithms are built for the entire credit life cycle.
- Decision Management: With this stage, our cloud-native decision management platform is tailored to your business requirements. Besides, you will be able to obtain the strategies for each step of the credit life cycle.
- Limit Management: At the end of this stage, a Limit Management system will be developed based on applicant income assessment, and customer & product level limit optimization models combined with the applicant’s risk category.
- Simulation: During this stage, capabilities will be built around what-if scenarios, back testing on historical data and simulations on alternative risk and / or limit strategies will be conducted (where applicable).
- Monitoring: Once this stage is complete, you will be able to keep an eye on every decision asset you have using best-practice monitoring dashboards.
Mindberg.ai shares the outcomes of this project with the company they work together:
- Gap Analysis
- Scope Document
- Needs and Requirements List
- Road Map with Impact Analysis and Prioritization
