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- (1.1) How mature is the Digital strategy of the organization?
- (1.2) To what extent is digital transformation actively discussed or overseen by the Board or senior governance body?
- (1.3) How would you describe your organization’s approach to project management (for both digital and non-digital initiatives)?
- (1.4) How often are digital projects completed within their originally allocated budget and timeline?
- (1.5) How are digital transformation goals communicated and reinforced across the organization?
- (1.6) How common is it for staff to contribute to digital projects outside their core responsibilities?
- (1.7) How prepared is your organization to handle the sudden departure of its two most senior IT experts, and what measures are in place to ensure business continuity?
- (1.8) How are User Experience (UX) roles organized within the organization, and how are they involved in shaping both strategic and operational initiatives?
- (1.9) How would you describe the data analytics function and to what extent is it integrated into decision-making processes?
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- (2.1) How would you describe your organization’s approach to partnerships with fintechs or external digital solution providers (e.g., for data, co-innovation, product development)?
- (2.2) How does your institution approach the piloting and experimentation of new digital ideas, products, or processes—especially those related to SME finance?
- (2.3) What processes or strategies does your organization use to gather, address, and integrate employee feedback during the implementation of new digital initiatives?
- (2.4) How would you describe your organization’s use of digital tools for internal communication and productivity (e.g., email, messaging, task/project management, shared drives)?
- (2.5) What is the general level of staff resistance to digital initiatives within your organization, and how does your team typically respond to change?
- (2.6) What is your organization’s approach to addressing challenges when a digital initiative fails to achieve it's intended objectives?
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- (3.1) How robust, flexible, and configurable is your back-office and core banking system in handling financial operations and regulatory compliance?
- (3.2) How flexible and user-friendly is your front-office application for staff and customers?
- (3.3) How mature is your API and integration strategy in enabling real-time data consistency and minimizing reconciliations?
- (3.4) How robust and secure is your infrastructure in terms of server capacity, scalability, and cybersecurity resilience?
- (3.5) What was the average availability of your institution’s core banking system or other mission-critical platforms supporting SME services over the past 12 months?
- (3.6) To what extent is your institution’s infrastructure and data environment ready to support the adoption of AI technologies in financial services and operations?
- (3.7) How frequently does your organization conduct cyber penetration tests, and how are these efforts aligned with your overall cybersecurity strategy?
- (3.8) How resilient is your disaster recovery (DR) and business continuity strategy?
- (3.9) How ready is your organization to leverage AI technology for financial services and operations?
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- (4.1) Does your institution have a formal data governance framework in place (e.g., policies, procedures, governance bodies)?
- (4.2) Are data ownership roles (e.g., Data Stewards, Data Owners, CDO) clearly defined and assigned across the institution?
- (4.2) How would you describe your institution’s approach to managing and ensuring the quality of its data (including monitoring accuracy, cleansing processes, and regular auditing)?
- (4.4) To what extent does your institution maintain and utilize metadata, data dictionaries, and documentation to support data understanding and governance?
- (4.2) How would you describe your institution’s data architecture and the level of integration between systems (e.g., core banking, CRM, analytics, reporting platforms)?
- (4.3) To what extent is data used beyond reporting to support decision-making (e.g., predictive or prescriptive analytics)?
- (4.7) Are data insights embedded into core business processes (e.g., product development, risk scoring, credit decisions)?
- (4.8) To what extent does your institution measure and optimize the efficiency of internal processes (e.g., through time tracking, workflow analytics, or process automation tools)?
- (4.4) To what extent are self-service analytics tools (e.g., dashboards, BI platforms) accessible, used, and effective in daily decision-making across departments?
- (4.5) To what extent does your institution develop or use data models to support strategic use cases (e.g., profitability analysis, customer churn, operational efficiency, or cross-selling)?
- (4.6) How effectively does your institution manage data privacy, regulatory compliance and response to potential data breaches?
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- (5.1) What is the average turnaround time for SME loan processing in your institution, from submission of a complete application to loan disbursement—and to what extent is this process digitized or automated?
- (5.2) To what extent does your institution rely on paper-based processes (e.g., physical forms, signatures, printed documents) in the SME lending journey?
- (5.3) How effectively does your institution tailor and digitize the SME lending process for repeat customers compared to new applicants?
- (5.4) What percentage of repeat borrowers are processed via fast-track digital workflow?
- (5.5) To what extent does your institution use digital channels to acquire SME customers, and how effectively does it track and optimize these channels using quantitative performance indicators?
- (5.6) What percentage of total SME leads are generated through digital channels?
- (5.7) What percentage of SME loans are originated through digital channels?
- (5.8) To what extent does your institution use digital credit scoring models or scorecards in the SME loan decision-making process?
- (5.9) What percentage of SME loan decisions are supported by scorecards or data models?
- (5.10) What percentage of loan applications are automatically processed/approved?
- (5.11) To what extent are SME customer transactions (e.g., account opening, payments, transfers, cash services) available and actively used through digital channels—and are these transactions systematically tracked?
- (5.12) What percentage of SME transactions are initiated digitally?
- (5.13) What percentage of SME customers are using digital channels?
- (5.14) To what extent is your institution taking greater risks in SME financing by offering loan products that are based primarily on cash-flow analysis rather than collateral requirements?
- (5.15) What is the percentage of your current SME loan portfolio that is unsecured or based primarily on cash-flow/alternative data models?
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- (5.17) To what extent does your institution systematically collect and use SME customer feedback to inform the design and improvement of its digital services?
- (5.18) What percentage of customer service requests are performed digitally?
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- Where do you believe digital initiatives could have the best impact for your organization and its service to SMEs?
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- What tools or services would you be most interested to try?
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- Should be Empty: