Bank of Palestine Analytics Sakhr Nammari Head of
Bank of Palestine Analytics Sakhr Nammari Head of Analytics
Using best-practice methodologies & technologies Why Analytics? To enable Bank of Palestine to answer key business questions in a timely & analysis based way to make effective strategic, tactical & operational decisions Data from Anywhere: -BOP Systems -Flat Files -Web Sites - Log files -Documents & Text -Social Media -Images -Audio -Video Delivered in the Best Formats & Channels: decision making analytics What action should be taken? discovery & exploratio n What Reporting & analysis actually happened ? Why did it happen? What could happen? -Dashboards -Reports -Interactive Visualisation -Planning & Budgeting tools -Mobile -Applications -Embedded predictive analytics and modelling Underpinned by: Appropriate Data storage & processing infrastructure Processing of Data in a timely manner (even real-time) Information Integration framework & process Information governance & security framework
• Better & More Accurate Insights Provide a consistent, unified “versions of the truth” Benefits of Analytics Provide information in the right time and formats to support management and other departments with strategic and operational decision making. Faster, more consistent and deeper analysis through access to a wider range of data, cleansed, integrated and pre-defined measurement rules for KPI’s, agreed once available anytime and to all who needs it. Better visualization & presentation of Analysis Self Service Ethos • Better Efficiency Faster time to insight & decisions, less burden on technical teams. More time spent on analysis & decision making rather than preparation, enabling the provisions of deeper analysis, analytical reporting, and trend analysis capabilities to be able to perform in a volatile and complex economic environment. Open new horizons and opportunities by revealing previously unknown or hidden insights into the operational and financial performance of the organisation. Improve efficiency of resources by reducing effort on non-value-adding activities. • Better Data Integrity & Security Protect Data integrity & security and physical retention/archiving costs over the long-term. • Better Access & Pervasiveness of Information Multitude of delivery channels and formats therefore access to relevant information can be achieved anywhere Availability of information can be integrated into business processes and application • Better Customer experience, service & Offerings Knowing the customer more, their needs and embedding analytics into processes and applications therefore enhancing the customer journey and experience as well as enabling Bo. P to offer customers products and services more suited to their needs at every moment.
The Analytics Maturity Journey Actionable focused, relevant delivery Role Based Embedded Analytics Analysis of new & unstructured data sources Enterprise Data Lake Statistical Risk Scoring Sentiment Analysis Organisational Warehouse Single Version of the Truth Enhanced delivery: Access Anywhere in any format Consistent, high quality information Data Driven Enterprise Advanced Analytics Performance Management Analytics Enterprise Analytics Information Access & Reporting Pre-built Reporting Dashboards Interactive Analysis & Data Discovery Ad Hoc Reporting Spreadsheets Manual Effort & Scripts Time Consuming Disjointed Solutions & Conflicting Reports Little or no integration across systems Departmental data marts Intelligent & Adaptive Models Adaptive Offering to Customers Customer Dashboards & Spending Pattern in Mobile Applications Event & Time Based Triggered Analysis Integrated Forecasting & Budgeting Balanced Scorecards Analytics Embedded in day-to-day processes & procedures Internal & Customer Applications Statistical models are adaptive Automated use of analytics Integrated Business Performance in customer journey Management Self-Sufficiency / Self Service / Altering Inclusion of user data to Analysis Organisatoinal Alignment, accountability Pre-built Analytics
Core Analysis Areas • 3600 Customer View Use Cases -Who are our customer, how do they interact with us, how can they be profiled & segmented, what products & services are they buying? Channel analysis, Customer lending analysis, Customer profitability, scoring & Segmentation. • Risk & Lending Analytics Examples of use cases within Bank of Palestine What risks are we exposed to? what contingencies have been undertaken? Deposits & withdrawals patterns, product performance analysis, product contribution analysis and credit concentration. • Financial Analytics Revenue, costs & profitability analysis. Balance sheet , Profit & Loss analysis, ledger balances and transactions. Departmental & branch profitability. • Process efficiency & optimization analytics How efficiently are we operating, are we operating in compliance with regulations, processes and procedures? E. g call centre efficiency, audit of authorization compliance, PMA compliance & reporting, branch customer services.
Achievements so Far Areas completed and delivered or in delivery process • Significant Integration of Data from Main System into Warehouse: Banks, Powercard & Banke • Rollout of self-service Areas already completed or near completion • Account Analysis • Monthly Financial Statements • Consolidated Lending Portfolio View • Customer Segmentation • Cards Issuing and Acquiring Analysis • Regulatory Reporting • High Level Branch, Office and Segmental Profitability • Delivery of multiple executive briefing reports,
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