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Investment
Data
Warehouse
A BearingPoint Accelerator
The low-interest period is forcing most
insurers to control and monitor their financial
investments. In contrast to a risk focused
approach seen in recent years, yield
controlling and monitoring will have top
priority. In order to reach this goal, many
insurers are modernizing and enhancing their
data warehouses. BearingPoint is offering a
predefined investment data warehouse
comprising the most required KPIs, reports
and the underlying data model.
Investment Data Warehouse | A BearingPoint Accelerator
Contents
Market Drivers
Our Approach
Client Benefits
References
Contact
CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< >
Market Drivers
CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< >
Challenges in Investment Management
• Drive the change to adapt the insurer‘s business based on the reality on the financial markets
• Handle the increasing requirements to support decision-making
• Handle the increasing information requirements for market transparency, performance assessment and comprehensive risk / cost-effectiveness
management/controlling
• Adapt to the relevant legal disclosures needs and regulations
• Flexible to organizational changes and able to integrate new acquisitions
Finance as a
strategic partner of
the decision maker
Traditional
Finance Function
• Integration of the controlling and finance function
• Application of global standards (IFRS, local GAAPs)
• Integrated system platforms
• Proactive planning and steering
• Process-oriented approach
Value contribution
Decisionsupport
Investment Data Warehouse | A BearingPoint Accelerator
Market Drivers
CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< >
BearingPoint’s readiness assessment
Potential areas in a readiness assessment:
• Processes in “Business Decision Support”
• Assess readiness of risk and finance IT architecture
• Design of a flexible reporting layer: market risk (VaR, Duration, etc.), planning and portfolio analysis (yield, etc.) to match changing reporting
requirements e.g. dimensions of exposure.
Investment Data Warehouse | A BearingPoint Accelerator
Efficiency & quality Effectiveness
Business Decision support
New Value Services
35%
35%
15%
15%
30%
60%
10% Business KnowledgePeopleFunctional Skills
Accounting &
Reporting Operations
Investment Management as “agile driver”
Our Approach
Extensive set of proven blueprints and exhaustive data
model for the investment domain
CLIENTBENEFITSOUR APPROACHMARKETDRIVERS REFERENCES CONTACT< >
Investment Data Warehouse | A BearingPoint Accelerator
Planning /
Modeling
Budgeting /
Forecasting
Risk
Management
Dimensional
Profitability / ABC
Reference Data
KPI
Definitions
Reporting
Hierarchies
Data
Standards
Book / Tax
COA’s
> >
Source data layer
DWH layer
Reporting layer
Applications
Market Data
Trades, Fees,
Contracts
Positions, Payments,
Dividends, Cash Flows
Postings
Manual
corrections
Asset Database
KPI definitions
Reporting and Analytics
IFRS and local
GAAPs
Market
valuation
Client Benefits
Investment Data Warehouse | A BearingPoint Accelerator
CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< >
Key ObjectivesNeeds in Investment Reporting
• Reinforce asset performance controlling and forecasting
• Better monitoring of investment yields
• Support diversification of asset classes
• Increase reactivity to market events
• Streamline closing and disclosure processes
• Better monitoring of market, credit and liquidity risks
• Better support for central orientations, decision, allocation
• Reduce effort on data reconciliation
Quality
Implementation of an integrated risk and steering model
>
1
Transparency
Standardized calculation of finance and risk measures
>
2
Depth of analysis
Global and consistent data model in one Data Warehouse (SPOT)
>
3
External requirements
Cover statutory and regulatory requirements including SII
>
4
Investment Data Warehouse | A BearingPoint Accelerator
CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< >
References
Shared Asset Reporting
Platform of a global
insurance company
Various decentralized data marts
Inconsistent definition of KPIs in Group
Error prone reporting process and poor data quality
Out-dated technology
Central data warehouse platform for Group reporting plus space
for local specifics
Common asset reporting list to harmonize data deliveries
(e.g. book value, valuation, etc.)
Shared master and market data
Harmonized delivery for Solvency II
Investment Information
System of a world wide
operating insurance
company
Reinforce asset performance controlling and forecasting
Increase reactivity to market events
Streamline closing and disclosure processes
Better monitor market, credit and liquidity risks
Reduce effort on data reconciliation
Overall project management plan, organization and governance to
secure project in time and budget
Creation of a data dictionary covering all data sources
Successful definition of functional target architecture and sourcing
approach for investment plan report
Integrated steering model
of a bank
The bank intended to implement an integrated steering
model with standardized calculation of finance and risk
measures, global and consistent data in one data
warehouse
Moreover it should fulfill external requirements
Model with homogeneous input parameters, aligned risk models
with convergent management and reporting tools, based on a
single data source
Ramp-up phase was completed effectively and on time, first
gateways (core data model, data mart and reports, central cash
flow generation, risk management and data quality framework)
were passed successfully
Client and Project Situation and Objective Benefits and Results
Contact
About BearingPoint
BearingPoint consultants understand that the world of business changes constantly and that the resulting complexities demand intelligent and
adaptive solutions. Our clients, whether in commercial or financial industries or in government, experience real results when they work with us. We
combine industry, operational and technology skills with relevant proprietary and other assets in order to tailor solutions for each client’s
individual challenges. This adaptive approach is at the heart of our culture and has led to long-standing relationships with many of the world’s
leading companies and organizations. Our global consulting network of 9,700 people serves clients in more than 70 countries and engages with
them for measurable results and long-lasting success.
For more information, please visit: www.bearingpoint.com
Investment Data Warehouse | A BearingPoint Accelerator
© 2015 BearingPoint. All rights reserved
Christoph Jakfeld
Director
BearingPoint Germany
christoph.jakfeld@bearingpoint.com
Matthias Hoehne
Partner
BearingPoint Germany
matthias.hoehne@bearingpoint.com
CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT<

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Investment Data Warehouse

  • 1. > Investment Data Warehouse A BearingPoint Accelerator The low-interest period is forcing most insurers to control and monitor their financial investments. In contrast to a risk focused approach seen in recent years, yield controlling and monitoring will have top priority. In order to reach this goal, many insurers are modernizing and enhancing their data warehouses. BearingPoint is offering a predefined investment data warehouse comprising the most required KPIs, reports and the underlying data model.
  • 2. Investment Data Warehouse | A BearingPoint Accelerator Contents Market Drivers Our Approach Client Benefits References Contact CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< >
  • 3. Market Drivers CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< > Challenges in Investment Management • Drive the change to adapt the insurer‘s business based on the reality on the financial markets • Handle the increasing requirements to support decision-making • Handle the increasing information requirements for market transparency, performance assessment and comprehensive risk / cost-effectiveness management/controlling • Adapt to the relevant legal disclosures needs and regulations • Flexible to organizational changes and able to integrate new acquisitions Finance as a strategic partner of the decision maker Traditional Finance Function • Integration of the controlling and finance function • Application of global standards (IFRS, local GAAPs) • Integrated system platforms • Proactive planning and steering • Process-oriented approach Value contribution Decisionsupport Investment Data Warehouse | A BearingPoint Accelerator
  • 4. Market Drivers CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< > BearingPoint’s readiness assessment Potential areas in a readiness assessment: • Processes in “Business Decision Support” • Assess readiness of risk and finance IT architecture • Design of a flexible reporting layer: market risk (VaR, Duration, etc.), planning and portfolio analysis (yield, etc.) to match changing reporting requirements e.g. dimensions of exposure. Investment Data Warehouse | A BearingPoint Accelerator Efficiency & quality Effectiveness Business Decision support New Value Services 35% 35% 15% 15% 30% 60% 10% Business KnowledgePeopleFunctional Skills Accounting & Reporting Operations Investment Management as “agile driver”
  • 5. Our Approach Extensive set of proven blueprints and exhaustive data model for the investment domain CLIENTBENEFITSOUR APPROACHMARKETDRIVERS REFERENCES CONTACT< > Investment Data Warehouse | A BearingPoint Accelerator Planning / Modeling Budgeting / Forecasting Risk Management Dimensional Profitability / ABC Reference Data KPI Definitions Reporting Hierarchies Data Standards Book / Tax COA’s > > Source data layer DWH layer Reporting layer Applications Market Data Trades, Fees, Contracts Positions, Payments, Dividends, Cash Flows Postings Manual corrections Asset Database KPI definitions Reporting and Analytics IFRS and local GAAPs Market valuation
  • 6. Client Benefits Investment Data Warehouse | A BearingPoint Accelerator CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< > Key ObjectivesNeeds in Investment Reporting • Reinforce asset performance controlling and forecasting • Better monitoring of investment yields • Support diversification of asset classes • Increase reactivity to market events • Streamline closing and disclosure processes • Better monitoring of market, credit and liquidity risks • Better support for central orientations, decision, allocation • Reduce effort on data reconciliation Quality Implementation of an integrated risk and steering model > 1 Transparency Standardized calculation of finance and risk measures > 2 Depth of analysis Global and consistent data model in one Data Warehouse (SPOT) > 3 External requirements Cover statutory and regulatory requirements including SII > 4
  • 7. Investment Data Warehouse | A BearingPoint Accelerator CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< > References Shared Asset Reporting Platform of a global insurance company Various decentralized data marts Inconsistent definition of KPIs in Group Error prone reporting process and poor data quality Out-dated technology Central data warehouse platform for Group reporting plus space for local specifics Common asset reporting list to harmonize data deliveries (e.g. book value, valuation, etc.) Shared master and market data Harmonized delivery for Solvency II Investment Information System of a world wide operating insurance company Reinforce asset performance controlling and forecasting Increase reactivity to market events Streamline closing and disclosure processes Better monitor market, credit and liquidity risks Reduce effort on data reconciliation Overall project management plan, organization and governance to secure project in time and budget Creation of a data dictionary covering all data sources Successful definition of functional target architecture and sourcing approach for investment plan report Integrated steering model of a bank The bank intended to implement an integrated steering model with standardized calculation of finance and risk measures, global and consistent data in one data warehouse Moreover it should fulfill external requirements Model with homogeneous input parameters, aligned risk models with convergent management and reporting tools, based on a single data source Ramp-up phase was completed effectively and on time, first gateways (core data model, data mart and reports, central cash flow generation, risk management and data quality framework) were passed successfully Client and Project Situation and Objective Benefits and Results
  • 8. Contact About BearingPoint BearingPoint consultants understand that the world of business changes constantly and that the resulting complexities demand intelligent and adaptive solutions. Our clients, whether in commercial or financial industries or in government, experience real results when they work with us. We combine industry, operational and technology skills with relevant proprietary and other assets in order to tailor solutions for each client’s individual challenges. This adaptive approach is at the heart of our culture and has led to long-standing relationships with many of the world’s leading companies and organizations. Our global consulting network of 9,700 people serves clients in more than 70 countries and engages with them for measurable results and long-lasting success. For more information, please visit: www.bearingpoint.com Investment Data Warehouse | A BearingPoint Accelerator © 2015 BearingPoint. All rights reserved Christoph Jakfeld Director BearingPoint Germany christoph.jakfeld@bearingpoint.com Matthias Hoehne Partner BearingPoint Germany matthias.hoehne@bearingpoint.com CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT<