the way we do itFinancial Services

Data Quality as a foundation for the overall bank management and fulfilment of regulatory requirements

ChallengeGood data quality is a critical success factor for business success

Every company pursues an optimisation of electronic or elec-tronically supported processes that are driven by its own strategic impulse, or externally, for example by regulatory requirements. Every activity to enhance the IT lands-cape should ultimately result in an improvement of system integration in the company.

This is exactly the place where good data quality plays a crucial role for the following reason: system integration projects have the side effect that data which has been used for certain pur-poses so far, are now used by other consumers. Therefore, the quality requirement for existing data increases and the outcome of the quality assessment is automatically negative.

With the “Principles for effective risk data aggregation and risk reporting”, the Basel Committee on Banking Supervision calls the banks to induce high auto-mation and standardisation of their risk reporting and the underlying provision of data. Structures are widely aligned solely on different risk types. An integration of these structures means reworking of governance, data modelling, correction and maintenance processes, evaluations and evaluation dimensions. Therefore, data quality management is a key task for banks. Risk IT and risk department are asked to collaboratively resolve the risk type alignment in risk management and provide data provision with adequate quality.

Excerpt from: BCBS #239

The quality assessment depends on the functional purpose and variation in quality can only be fi xed, when departments and IT cooperate. Although by using modern tools, the IT is able to technically realise the analysis and DQ measurements, however, the content-related design of DQ measurements and assessment of analysis results are only possi-ble with the assistance of busi-ness expert users.

Defi cient data quality is a non-indebted side effect which automatically evolves with the enhancement of system lands-capes. Data that only served its purposes in system landscapes of single areas (silos) so far, do not meet the requirements after process harmonisation and even process automation. It is highly probable that area data models differ among each other or they are even inconsistent.

2 – 4 Months: Pre-study 6 Months + : Introduction DQM

Figure 1: Our experience from integration and data quality projects ensures a demand-oriented DQM implementation

©2015 Capgemini Consulting

DQM Introduction

DQ-Monitoring

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DQ-Control Loop Opportunities

Evaluates quickly and across 10 dimensions where the challenges exist

Creates focus on areas of action in DQM

3 – 6 Weeks: Diagnosis

Analyses the identi�ed potentials in detail

Ensures transparency and broad acceptance

Arranges the introduction plan with all stakeholders

Introduces DQM organisationally and technically

Realizes quick-win initiatives

Introduces a sustainable DQ-Control Loop

StakeholderManagement

Architecture

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Strategy and Requirements

Employees, Organization & Culture

Internal Management & Methods

External Compliance

Business Performance Management

Business Intelligence, Analytics &

Data Warehousing

Collaboration & Enterprise Content Management

Data Management

System Integration

Accessibility ofInformationen

The consequence is extremely inconvenient: Many projects fail because the criticality of the data quality aspect at project planning and organisation is not taken into account.

SolutionCapgemini offers a sophisticated approach for introducing a needs-oriented data quality management (DQM) in three steps.

Step 1: Diagnosis of DQ MaturityWith the help of standardised evaluation scales and question-naires, the status quo and objec-tives are defined and detected. Discrepancies are revealed across predefined dimensions.

Step 2: Detailing of Opportuni-ties in the pre-study Potentials of a customer-specific DQM are developed systemati-cally and brought to maturity for decision. The result is a business process driven roadmap for introducing a fundamental and holistic DQM. Step 3: DQM IntroductionThe holistic approach ensures a full and sustainable DQM introduction. Thus, the focus is demand orientation so that the business case is ensured with the involved optimisation of business processes.

Figure 2: Capgemini service portfolio for DQM-Introduction

©2015 Capgemini Consulting

Data Cleansing

DQ Monitoring

DQ Assessment

Data Quality Strategy

Tool Selection

DQ Implementation Capgemini’s DQ Framework is an amalgamation of our rich experience in successfully implementing DQ solution, best practices and comprehension of our customers’ pain points. Our DQ framework is made up of the following components: rule development, data cleansing and standardisation, duplicate identi�cation and data deduplication. We are meticulous during design and component selection for the solutions ensuring that it meets client requirements.

DQ Monitoring empowers business users to monitor data by allowing them to identify issues and take timely action in order to mitigate business impact. Capgemini helps the proactive implementation of continuous and iterative monitoring systems. Our experts can help customising our solutions to adapt to speci�c client needs.

Capgemini’s Data Cleansing comprises data standardisation, data cleansing, data correctness and data validation. The solution is modular in nature and depending on the need, only necessary components can be selected. The solution is available for various enterprise domains.

Capgemini’s DQ Assessment framework takes a holistic approach towards data assessment. It not only looks at the statistical output from data analysis but also looks beyond into data structures, processes, usage and the value in order to arrive at the health of the organization's data.

Capgemini’s DQ Strategy allows to assess enterprise strategic goals and to connect the dots between the organization’s goals and the data quality needed to meet the goals. Our experts help to design the roadmap by strongly coupling process improvements, technology implementation, system involvement and most importantly business engagement.

Capgemini’s DQ experts support the client with tool selection by ensuring that the tool satis�es current and future business requirements. The tool selection process is very comprehensive with selection/elimination of criteria and we also share our expertise and recommendations with the client.

Standardize

Cleanse

Correct

Validate

Capgemini ServicesCapgemini offers a complete service portfolio:

Why Capgemini?Capgemini offers a target-oriented combination of professional, industry, and methodical expertise for effective DQM and efficient consulting. Capgemini‘s DQM service portfolio bundles metho-dical expertise and long-term practical experience. Therefore, institutions benefit from a quick entry into DQM, while having mini-mum outlay and small risk. The strong expertise of organisational changes in banks allows ancho-ring DQM in the whole institute.

You get the conception of DQM right up to the implementation of IT implementations from one single source.As a deeply multicultural organi-sation, Capgemini has developed its own way of working, the Col-laborative Business Experience™, and draws on Rightshore®, its worldwide delivery model.

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The information contained in this document is proprietary. ©2015 Capgemini.All rights reserved. Rightshore® is a trademark belonging to Capgemini.

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Rightshore® ist eine eingetragene Marke von Capgemini

About Capgemini Consulting Capgemini Consulting is the global strategy and transformation consulting organization of the Capgemini Group, specializing in advising and supporting enterprises in significant transformation, from innovative strategy to execution and with an unstinting focus on results. With the new digital economy creating significant disruptions and opportunities, our global team of over 3,600 talented individuals work with leading companies and governments to master Digital Transformation, drawing on our understanding of the digital economy and our leadership in business transformation and organizational change.

Erfahren Sie mehr unter

www.de.capgemini-consulting.com

About CapgeminiWith almost 145,000 people in over 40 countries, Capgemini is one of the world’s foremost providers of consulting, technology and outsourcing services. The Group reported 2014 global revenues of EUR 10.573 billion. Together with its clients, Capgemini creates and delivers business and technology solutions that fit their needs and drive the results they want. A deeply multicultural organization, Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore®, its worldwide delivery model.

Learn more about us at

www.de.capgemini.com

Rightshore® is a trademark belonging to Capgemini

the way we do itFinancial Services

Contact

Dr. Ulrich Windheuser Principal Konrad-Adenauer Ufer 7 50668 Köln +49 151 4025 0704

ulrich.windheuser@capgemini.com