334x 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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