Cedar Podcasts

Many large IT investments fail to deliver expected value due to poor alignment, weak execution, or incomplete planning. Successful IT investments can be guided by three fundamental questions: why, what, and how. The “why” focuses on clearly defining the business objective—identifying the specific problems being addressed and the tangible benefits expected, such as efficiency gains, cost reduction, or improved controls. The “what” concerns selecting the right solution, vendor, and implementation team, ensuring functional fit, scalable architecture, regional relevance, and a realistic view of total cost of ownership, including hidden and indirect costs. The “how” emphasizes disciplined project planning and controls, including detailed project plans, defined milestones, risk management, governance, and strong PMO oversight. Clear measurement and monitoring systems are critical, as only what is measured can be effectively managed. When these three tenets are addressed holistically, IT investments can deliver sustained value and strong returns.

The rapid growth of the Internet of Things (IoT), with billions of connected devices, is creating major opportunities and challenges for banks. IoT enables devices to exchange data autonomously, generating vast data sets that can be used to predict behavior, anticipate needs, and design new financial solutions. For banks, key applications include automated payments, personalized offers, smarter SME and corporate financing, improved agricultural lending, and asset monitoring for better credit assessment. From a customer perspective, IoT promises greater convenience and highly personalized services, but raises serious concerns around data privacy. Banks must carefully decide what data to analyze, how it is used, and how privacy is protected. Risk management will increasingly focus on data security and cyber threats rather than traditional risk categories. To differentiate in a crowded ecosystem, banks must define clear objectives, develop relevant IoT use cases, partner with fintechs through APIs, and pilot innovations with customers. IoT is set to reshape banking, provided data governance and trust are managed effectively.

The growth of data and analytical capabilities has shifted businesses from intuition-based decisions to data-driven decision making. Analytics transforms raw data into actionable insights that help organizations understand past performance, identify causes, predict future outcomes, and recommend optimal actions. It is defined as the scientific process of examining data using tools and techniques to uncover patterns, trends, and foresight for informed decisions. There are four key types of analytics: descriptive (what happened), diagnostic (why it happened), predictive (what might happen), and prescriptive (what action to take). As organizations move from descriptive to prescriptive analytics, both complexity and business value increase. Analytics delivers benefits such as improved decision making, stronger performance, better planning, enhanced customer relationships, efficient resource use, and improved risk management. It is widely used across industries including BFSI, retail, e-commerce, healthcare, HR, and social media. To fully realize its potential, organizations must embed analytics across all functions and decision levels.

To become the wealth manager of choice for millennials, firms must embrace seamless digital onboarding. Millennials expect fully digital, self-service onboarding that consolidates lead generation, customer analytics, need assessment, product recommendation, and account opening into a single experience. Traditional relationship-led models are no longer sufficient, especially as significant wealth transfers accelerate. Successful digital onboarding rests on three principles: being intuitive by asking the right questions and leveraging ID capture to pre-fill known data; being quick by minimizing paperwork, duplication, and turnaround time; and being engaging through strong journey design and continuous interaction, especially in the first 90 days when attrition risk is highest. A mobile-first, omnichannel experience reduces costs, improves advisor productivity, and enhances customer relevance. Digital onboarding also strengthens regulatory compliance through automated identification, AML, and high-quality data capture. Ultimately, success depends on more than technology—it requires aligned processes, trained teams, strong governance, data-driven insights, and a sustainable technology roadmap to meet evolving customer expectations.

Recent large-scale frauds linked to SWIFT transactions highlight hidden operational vulnerabilities in banks and the urgent need for stronger risk controls. SWIFT is a global messaging platform used by banks to facilitate cross-border payments, with transactions executed either through straight-through processing (STP) from core systems or via manual postings on SWIFT terminals. While STP reduces fraud risk, system errors can cause incorrect transactions; manual postings limit access but heighten fraud risk. In practice, banks use a mix of both, creating exposure to erroneous or fraudulent transactions. To minimize these risks, banks must go beyond system integration and adopt robust process, organizational, and compliance controls. Eight key principles are critical: automated workflows, strict access controls, multi-level approvals, job rotation, clear authority matrices, fraud analytics, limit management, and regular audits. A holistic operational risk framework is essential to safeguard high-value SWIFT transactions.

Over 60% of technology transformation projects miss budgets or timelines, making execution excellence and a strong Program Management Office (PMO) critical. Successful program management enables early benefit realization, an institutionalized framework, and organizational engagement. Five key tenets drive success. First, robust governance with visible executive sponsorship, clear roles, KPIs, RACI, and escalation structures prevents initiatives from being sidelined. Second, detailed planning at both granular and high levels ensures clarity, alignment, and shared ownership. Third, rigorous measurement of timelines, quality, cost, impact, and risks enables early course correction, supported by holistic frameworks like the Balanced Scorecard. Fourth, proactive change management ensures users are engaged, trained, and understand both benefits and risks of inaction. Finally, value realization keeps focus on outcomes through milestone celebrations and continuous communication of program benefits, preventing delays and loss of purpose.

Banks have shifted from viewing IT as a support function to recognizing it as the foundation of their business, a change accelerated by digital disruption and the pandemic. A bank’s digital and IT capabilities now define what it can offer customers, making periodic, top-down IT strategy reviews essential. Instead of isolated fixes, banks must adopt a holistic approach aligned with business vision, strategy and customer needs, with reviews typically every two years.

An effective IT strategy follows a four-step approach: understanding where the bank is headed (business strategy and drivers), assessing the current state across applications, technology and organization, defining the way forward by identifying and prioritizing initiatives, and developing a roadmap to guide execution. Success depends on sequential execution of these steps, strong business awareness within IT teams, overcoming resistance to change, avoiding blind replication of peers, and balancing inside-out and outside-in perspectives.

Islamic finance has gained global attention for its risk-sharing, ethical principles, especially after recent financial crises. Islamic banking operates through pure Islamic banks, Islamic subsidiaries of conventional banks, and Islamic windows. While GCC Islamic banks once outpaced conventional peers, growth has slowed due to volatile oil prices and weaker regional economies, with market share largely stagnating. Despite this, modest growth is still expected.

The COVID-19 pandemic impacted Islamic finance more deeply than earlier crises because of its higher exposure to SMEs, microfinance and retail customers. Islamic social finance tools such as zakat, waqf and sukuk can support crisis response and recovery. Regulatory standardisation is improving through global bodies like AAOIFI and regional initiatives such as the UAE’s Higher Sharia Authority. Innovation is accelerating via digital banking, fintech and blockchain-based solutions. Looking ahead, the strongest growth potential lies in Muslim-majority countries, supported by consumer education, regulatory clarity and political commitment.

Selecting an Islamic core banking system is more complex than choosing a conventional platform due to Sharia-specific requirements and regional variations. A structured “4D approach” helps banks identify the best fit.

First, Define needs through a detailed Business Requirement Specification covering Islamic asset and liability products, profit calculation methods, Sharia rules, and core banking functions, prioritized as critical, good-to-have and nice-to-have.

Second, Determine the shortlist by aligning vendor capabilities with the bank’s context—pure Islamic bank, dual conventional-Islamic model, or Islamic window—while assessing regional presence and proven references.

Third, Deep-dive evaluation and commercials validate functional claims across Islamic products, AAOIFI compliance, technology architecture, scalability, and vendor strength through detailed demonstrations.

Finally, Delve into contractual details, focusing on implementation capability, contractual flexibility, total cost of ownership, and senior-level commitment from the supplier.

Ultimately, success depends on aligning functionality, technology, vendor credibility, and long-term partnership commitment.

SMEs are vital to the global economy but remain underserved in bank lending due to the unique nature of their credit risk. Unlike large corporates, SME risk is primarily promoter-driven, making traditional corporate credit frameworks ineffective. SME lending requires a volume-led, specialized risk model that assesses the obligor rather than just the facility, blending borrower behavior, cash flows and sector risk.

A robust SME credit strategy rests on five pillars. First, borrower assessment focuses on promoter quality, industry context and cash-flow analysis rather than audited financials. Second, underwriting norms combine borrower scores and collateral to define risk tiers, driving pricing, tenor and approval rules. Third, streamlined credit processes emphasize fast turnaround, simplified documentation and automation. Fourth, a dedicated SME risk organization separates policy, appraisal and portfolio oversight to balance speed and control. Finally, proactive portfolio monitoring using analytics enables early risk detection, restructuring and regulatory compliance.

Ultimately, SME credit success depends less on exposure size and more on accurately identifying and managing whom the bank lends to.