Measure your Risks align your strategy - BI an ultimate Corporate
Jan 11, 2016
Measure your Risks align your strategy -BI an ultimate Corporate Governance tool
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Pexim Corporate Profile
350+ Employees
35+ million € Revenue in 2007.
40% of growth rate in last 2 years
ISO 9001:2000 Certificated
Deep understanding of system Analysis and solution
development
Applied project management
Quality assurance standards
Copiright©2007 Pexim Solutions
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Pexim Corporate Profile
Founded in 1990. Pexim Group
Pexim Solutions Belgrade Skopje Banja Luka Sofia Tirana
Pexim CardInfo Belgrade Podgorica Sarajevo
24x7 Service centers Belgrade Skopje Podgorica Pristina
Pexim CMS
Copiright©2007 Pexim Solutions
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Regional presence
+ Pexim Dubai Office (Q1 of 2008)+ Pexim Slovenia Office(Q1 of 2008)
Copiright©2007 Pexim Solutions
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Top 10 business drivers for the European and Middle eastern FSI Source: Tower Group
Regulation and the need to derive ROI in Compliance
Risk: the need to balance risk in the enterprise portfolio
Know Your Customer
The changing competitive landscape
Financial market instability and global volatility
Investors’ Increased Scrutiny
The need for Operational efficiency and maximizing Value from IT investments
The need for speed and agility in Market and Product Innovation
The need for a Regional Perspective
Social trends such as “Green “ movement
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Response?Back Office Strategy of the bankSilos Vs Enterprise DW/BI
Silos oriented approach
Customer
Loans
DemandDeposits
Mortgage
Trading
ForEx
CreditCard
TermDeposits
OtherApps
PortfolioMngmt
Fermat Basel II solution
In-house ODS
Oracle OFSA
IPS FTP
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Web Service
s
Enterprise DW/BI
Data warehouse
Account Details Reference
FACTFinancial FACT
Securities FACTFutures FACTStaff Dimension
Products/Services
Dimension
Department Dimension
Currency Dimension
Time Dimension
General Ledger Dimension
Collateral Dimension
• Department Name• Division
• Conversion rate• Currency from• Currency to• Effective date
• Loans• Facilities
• Daily• Monthly• Yearly
• Account Type• Terms
Client Contact Dimension
• GMC reports• Regulatory reports• Profit & loss• Balance Sheet
• Regulatory information
• Regulatory information
• Composition• Compensation• Training
• General Ledger information on item level
Account Details Reference
FACTFinancial FACT
Securities FACTFutures FACTStaff Dimension
Products/Services
Dimension
Department Dimension
Currency Dimension
Time Dimension
General Ledger Dimension
Collateral Dimension
• Department Name• Division
• Conversion rate• Currency from• Currency to• Effective date
• Loans• Facilities
• Daily• Monthly• Yearly
• Account Type• Terms
Client Contact Dimension
• GMC reports• Regulatory reports• Profit & loss• Balance Sheet
• Regulatory information
• Regulatory information
• Composition• Compensation• Training
• General Ledger information on item level
OLAPDatabas
e
Calculation engines(Basel II, FTP)
Customer
Loans
DemandDeposits
Mortgage
Trading
ForEx
CreditCard
TermDeposits
OtherApps
PortfolioMngmt
Business data is distributed across the enterprise
Relevant information on business performance does not
span across the enterprise
Actionable insight isn’t easily accessible to everyone who
needs it
Business Intelligence Challenges Today9
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1. There’s no single enterprise view of data
2. Inability to gather data for as yet unspecified reporting requirements.
3. Senior Management requests for information require intensive manual effort to respond, and far longer than desired.
4. Multiple databases or spreadsheets storing similar data; no common data “dictionary” across the enterprise
5. No ownership of data
6. Difficulty complying with regulatory requirements like Basel II Accord
7. Senior management questions quality, timeliness, reliability of information used to make multi-million dollar decisions
8. Difficulty answering questions about the origins and business processes performed against data
9. Inability to consolidate data from multiple diverse sources
10. Difficulty in building a single architecture to address both data consolidation and data aggregation requirements.
Data mgt.
Project mgt.
Impl. of sup. Review proces
Adherence to disclosures
Sufficient resources
Mgt buy-in
Other
0% 20% 40% 60% 80% 100%
10 Common signs of unstable data foundation
Data Management is the key challenge in meeting Basel II
Source: IBM Institute for Business Value analysis, Banks and Basel II: How Prepared Are They?, October 2002interviews with 32 Financial institutions worldwide
Key challenges – Systems & Data Management
Copiright©2007 Pexim Solutions
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Tezauri is a Synergy of..
IBM BDW Model
Microsoft BI Stack
Pexim Added Value•Tezauri Manager•Messaging model•Metadata model•Custom SSIS components
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Top ten benefits for the bank
Timely, comprehensive, accurate, well formatted information for all type of users according to they needs
Comprehensive solution which fully covers all business processes from business, data and technology perspective
Compliance in domestic and international regulations(Basel II, IFRS/IAS)
BDW model - Dictionary for talk between Business and IT, industry standard
State of the art technology platform (Microsoft)
Enterprise DW – integration of all information potential of the bank(“single truth for all”)
Customization according to the bank needs
Standardization of data governance process(information ecosystem)
Feedback for functional improvement of operational systems
Reliable vendor with strong references in banking industry
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Tezauri Business Content
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Financial Services Data ModelA classification of business concepts, and the relationships between business concepts
FSDM expressed business concepts by classifying according to 9 fundamental data concepts:
IFW FOUNDATION MODELS
FSDM FSFM FSWM
IFW PROCESS & INTEGRATION MODELS
IFW PROCESS MODELS
FS-BOM
FS-IDM
IFW DATA MODELS
Arrangement ARRANGEMENT CUSTOMIZATION
ARRANGEMENT FREQUENCY
ARRANGEMENT LIFECYCLE STATUS Potential Arrangement
Proposed Arrangement…
…
Offered Arrangement
BDWM
BSTs
ASTs
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ASTs
BSTs
BDWM
IFW FOUNDATION MODELS
FSDM FSFM FSWM
IFW PROCESS & INTEGRATION MODELS
IFW PROCESS MODELS
FS-BOM
FS-IDM
IFW DATA MODELS
Banking Data WarehouseProvides the Data Warehouse design for consolidated data store and analysis structures
BDW provides the logical and physical design for a consolidated data hub, including summary structures to facilitate periodic data analysis
Involved Party Involved Party id
Involved Party Name
…
Arrangement Arrangement Id
…
Description
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ASTs
BSTs
BDWM
IFW FOUNDATION MODELS
FSDM FSFM FSWM
IFW PROCESS & INTEGRATION MODELS
IFW PROCESS MODELS
FS-BOM
FS-IDM
IFW DATA MODELS
Business Solution TemplatesProvides the business-specific scoping mechanisms and content design for front-end reporting
BSTs provide business meta-data and MDOLAP properties
Business Solution template Credit Risk Profile
Wallet Share Analysis
Liquidity Analysis Measurements
Dimensions…
…
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ASTs
BSTs
BDWM
IFW FOUNDATION MODELS
FSDM FSFM FSWM
IFW PROCESS & INTEGRATION MODELS
IFW PROCESS MODELS
FS-BOM
FS-IDM
IFW DATA MODELS
Application Solution Templates
Provides the template for the data requirements of non-reporting applications
ASTs define a hierarchy of information (parameters) that can be passed to external applications. Acts as a bridge between an application input requirements and the data warehouse source
Loss Given Default Asset Class
Credit Risk Mitigation
Credit Risk Approach
Bank
Corporate
… ….
Equity
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Basel II Scoping Example
Financial Capital Adequacy Analysis
RegulatoryCompliance
Metrics listed in pre-defined business solutions
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Web Service
s
Tezauri architecture – Enterprise DW/BI
Data warehouse
Account Details Reference
FACTFinancial FACT
Securities FACTFutures FACTStaff Dimension
Products/Services
Dimension
Department Dimension
Currency Dimension
Time Dimension
General Ledger Dimension
Collateral Dimension
• Department Name• Division
• Conversion rate• Currency from• Currency to• Effective date
• Loans• Facilities
• Daily• Monthly• Yearly
• Account Type• Terms
Client Contact Dimension
• GMC reports• Regulatory reports• Profit & loss• Balance Sheet
• Regulatory information
• Regulatory information
• Composition• Compensation• Training
• General Ledger information on item level
Account Details Reference
FACTFinancial FACT
Securities FACTFutures FACTStaff Dimension
Products/Services
Dimension
Department Dimension
Currency Dimension
Time Dimension
General Ledger Dimension
Collateral Dimension
• Department Name• Division
• Conversion rate• Currency from• Currency to• Effective date
• Loans• Facilities
• Daily• Monthly• Yearly
• Account Type• Terms
Client Contact Dimension
• GMC reports• Regulatory reports• Profit & loss• Balance Sheet
• Regulatory information
• Regulatory information
• Composition• Compensation• Training
• General Ledger information on item level
OLAPDatabas
e
Calculation engines(Basel II, FTP)
Customer
Loans
DemandDeposits
Mortgage
Trading
ForEx
CreditCard
TermDeposits
OtherApps
PortfolioMngmt
BI PLATFORM
SQL Server Reporting Services
SQL Server Analysis Services
SQL Server RDBMS
SQL Server Integration Services
SharePoint Server
DELIVERY
Reports Dashboards Excel Workbooks
AnalyticViews Scorecards Plans
END USER TOOLS & PERFORMANCE MANAGEMENT APPSPerformance Point
ServerExcel
Microsoft BI An Integrated Offering
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SQL ServerYour Data Any Place, Any Time
Dynamic Development
Beyond Relational
Enterprise Data Platform
Pervasive Insight
Mobile andDesktop
OLAPFILE
XMLRDBMS
Services
Query
Analysis
Reporting Integration
Synch
Search
CloudServer
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Integrate Any Data• Consolidate and cleanse your data from any source
• Predictable response across growing volumes
of data• Simplified
management of your data warehouse
Drive actionable insights
• Build enterprise-scale analytical solutions
• Extend with comprehensive and predictive capabilities
• Reach every user and drive actionable insight
Deliver Relevant Reports
• Author extensive reports accommodating any reporting need
• Manage and scale reporting workloads of any size
• Deliver intuitive reports to every user in the format and location they prefer
Integration Services
Analysis Services
Reporting Services
SQL Server Intelligent Data Platform22
Design
Process
Experienc
e
Integrate Any Data
Deliver relevant
Information
Drive Actionable
Insights
SummarySQL Server Business Intelligence
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State of the art ETL
Data SourcesChanged Data Message model
Data warehouse
CDC
SoRSummaryData
marts
ETL MSG
ETL S
oR
ETL Sum
ETL DM
Cube processing
Tezauri Manager(metadata and business rules)
XML Tra
nsform
Mappings
(Exp
ress
ions)
ClassificationsSurrogate Key
Accounting Units
Products
Cube
XML TransformMappings
(Expressions)
XM
L Transform
Mappings
(Expressions)
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Innovation – Message model Purpose
Staging model between operational systems and DW Objective
To simplify mapping of operational systems to DW and improve efficiency of ETL
Definition Number of denormalized DW model entities
Various Representation Entity (Table) File Memory model
Custom SSIS Components
Source To BDW Mapping
Classification Management
Surrogate Key Management
Accounting Unit Management
Pexim Rank Resolver
Pexim Message Mapper
Classification Resolver
Pexim Surrogate Key
Pexim Accounting Unit
Rank Management
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Evolution of ETL
Copiright©2007 Pexim Solutions
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Expression Engine
Expressions as the most powerful tool for: Data
transformations Data mappings Domain
membership Data Quality
Definitions Environment for
expression: Definition Storage Validation Execution
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BI for ALL
User Type Executives Managers Analysts “Operational” users
User Role CEO CFO Segment Manager Branch manager Sales director Sales Advisor …
Integrated security
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Report type
Scorecards Predefined
spreadsheet (complex) reports
Analytical free form
Predefined web reports
Dashboards, portal integration
Questions
Copiright©2007 Pexim Solutions
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