Banking
The Advantages of Business-Qlik for Banking Solution:
- common understanding of performance for all employees, departments and branches;
- increased extent and intensity of the use of information and its accessibility to decision-making;
- provision of full control over the operations, payments, assets and branches;
- effective analysis of the creditability, potential loan portfolio losses;
- proactive risk reduction;
- improvement of the understanding of the transactional activity and its trends;
- increase of the internal control effectiveness and fraud prevention.
Business-Qlik for Banking is necessary for your business, if:
- you do not have enough information on how optimal the products portfolio is and how effective product promotions are;
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losses are continuously recorded after the fact which is not enough for effective risk management;
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your employees complain about the lack of tool support for the implementation of complex processes analysis and data mining;
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many complex and important types of analysis are not made due to their complexity and inaccessibility of information;
- you spend a lot of time to reconcile some figures obtained by different units
With Business-Qlik for Banking you can:
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analyze the structure and profitability of products, the structure of assets and activities of subsidiaries;
- manage credit, market and operational risks;
- have full control over the assets and analyze the structure of the assets, the dynamics of the assets as well as the intra-and inter-annual trend and health indicators of the assets;
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analyze the line of business (LOB) and perform transactional analysis in various aspects;
- form a complete picture of the loan portfolio, including reserves, collateral value, the amounts of outstanding debts and the amount of coverage;
- analyze the problem debts for periods of delay, customers, regions, etc.;
- analyze customer base, produce customer segmentation and modeling of solvency;
- build consolidated financial statements, including the P & L based on LOB;
- create a model of "complex" predictive analytics and analysis of "what if?";
- produce research of customer data and identify potential cross-sell and upsell opportunities;
- monitor compliance with the regulatory requirements of regulatory authorities and detecting fraud;
- create control panels for the balanced indicator.
