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Главная » Solutions

Banking

 

Банковская деятельность

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;
  • losses are continuously recorded after the fact which is not enough for effective risk management;
  • your employees complain about the lack of tool support for the implementation of complex processes analysis and data mining;
  • 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:

 

  • 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;
  • 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.

 

Demo

  • Retail Banking - Credit Risk Analysis
    Retail Banking - Credit Risk Analysis
  • Retail Banking Sales and Customer Targeting
    Retail Banking Sales and Customer Targeting

Screenshots

  • Банковская деятельность
  • Банковская деятельность
  • Банковская деятельность
  • Банковская деятельность
  • Банковская деятельность
  • Банковская деятельность
  • Банковская деятельность
  • Банковская деятельность
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