A BearingPoint Accelerator

Transcription

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 Contents Market Drivers Our Approach Client Benefits References Contact

3 Market Drivers 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 Decision support 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

4 Market Drivers Investment Management as agile driver 30% 60% Accounting & Reporting Operations Business Decision support New Value Services 35% 35% 15% 10% Functional Skills People Business Knowledge 15% Efficiency & quality Effectiveness 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.

5 > < > MARKET DRIVERS OUR APPROACH CLIENT BENEFITS REFERENCES CONTACT Our Approach Extensive set of proven blueprints and exhaustive data model for the investment domain Source data layer Market Data Trades, Fees, Contracts Positions, Payments, Dividends, Cash Flows Postings Manual corrections Applications Asset Database Reference Data DWH layer Planning / Modeling Budgeting / Forecasting > IFRS and local GAAPs Market valuation KPI Definitions Reporting Hierarchies Risk Management Dimensional Profitability / ABC KPI definitions Data Standards Book / Tax COA s Reporting layer Reporting and Analytics

6 Client Benefits Needs 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 Key Objectives Quality Implementation of an integrated risk and steering model > 1 Transparency > 2 Depth of analysis Standardized calculation of finance and risk measures 3 > Global and consistent data model in one Data Warehouse (SPOT) 4 > External requirements Cover statutory and regulatory requirements including SII

7 References Client and Project Situation and Objective Benefits and Results 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 Integrated steering model of a bank 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 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 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 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

8 < Contact Matthias Hoehne Partner BearingPoint Germany Christoph Jakfeld Director BearingPoint Germany 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: BearingPoint. All rights reserved