202x Filetype PPTX File size 0.63 MB Source: www.datascience.ps
Using best-practice methodologies & technologies Why Data from decision making Delivered in analytics Anywhere: the Best Analytics? What Formats & action should Channels: be -BOP Systems taken? -Flat Files discovery Reporting & & analysis -Dashboards -Web Sites exploratio -Reports - Log files n What -Interactive -Documents & actually Why did To enable happene it Visualisation Text d? happen? -Planning & Bank of Palestine -Social Media Budgeting tools to answer -Images -Mobile -Audio -Applications key business -Video What -Embedded could happen? questions in a predictive analytics timely & analysis and modelling based way to Underpinned by: make effective Appropriate Data storage & processing infrastructure Processing of Data in a timely manner (even real-time) strategic, tactical Information Integration framework & process Information governance & security framework & operational decisions • Better & More Accurate Insights Provide a consistent, unified “versions of the truth” Provide information in the right time and formats to support management and other departments with Benefits of 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 Analytics 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 BoP to offer customers products and services more suited to their needs at every moment. Actionable focused, relevant delivery Role Based Embedded Analytics Statistical Risk Scoring The Analysis of new & unstructured data Sentiment Analysis sources Enterprise Data Lake Analytics Organisational Warehouse Single Version of the Truth Enhanced delivery: Maturity Access Anywhere in any format Consistent, high quality information Data Journey Driven Enterprise Advanced Analytics Performance Management Analytics Intelligent & Adaptive Models Enterprise Adaptive Offering to Customers Analytics Customer Dashboards & Spending Pattern in Mobile Applications Information Access & Event & Time Based Triggered Reporting Pre-built Reporting Analysis Dashboards Integrated Forecasting & Budgeting Balanced Scorecards Interactive Analysis & Data Analytics Embedded in day-to-day Discovery processes & procedures Internal & Customer Applications Ad Hoc Reporting Statistical models are adaptive Spreadsheets Integrated Business Performance Automated use of analytics Manual Effort & Scripts Management in customer journey Time Consuming Self-Sufficiency / Self Service / Altering Disjointed Solutions & Conflicting Reports Inclusion of user data to Analysis Little or no integration across systems Organisatoinal Alignment, accountability Departmental data marts Pre-built Analytics Core Analysis Areas • 0 360 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 What risks are we exposed to? what contingencies have been undertaken? Deposits & withdrawals patterns, product performance analysis, product Examples of contribution analysis and credit concentration. use cases • Financial Analytics Revenue, costs & profitability analysis. Balance sheet , Profit & Loss within Bank analysis, ledger balances and transactions. Departmental & branch profitability. of Palestine • 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. Areas completed and delivered or in delivery process • Significant Integration of Data from Main System Achievement into Warehouse: Banks, Powercard & Banke s so Far • Rollout of self-service • Account Analysis • Monthly Financial Statements Areas • Consolidated Lending Portfolio View already • Customer Segmentation completed or • Cards Issuing and Acquiring Analysis near • Regulatory Reporting completion • High Level Branch, Office and Segmental Profitability • Delivery of multiple executive briefing reports, KPI Packs and analysis
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