Data Quality Management A Risk-Based Approach to Targeting Performance

Transcription

1 Data Quality Management A Risk-Based Approach to Targeting Performance

2 On target data strategy The currency of today s e-economy is data. Information about customers, products, sales, business partners, competitors and suppliers drives the business decisions toward performance and, ultimately, profitability. In a global marketplace where systems, people and processes are interconnected, quality data is an organisation s most valued asset. PricewaterhouseCoopers Data Management team views data as the lifeblood of your organisation. We see it as much more than masses of information. It is a critical factor in reaching a company s performance goals. Our structured approach and methodology, called Data Quality: OnTarget, begins with data accountability and ownership that are then aligned with best-practice strategies. Along with our proven processes, tools and experience, we can assist you in maximising the value of data assets throughout your enterprise. Companies that view data management as a strategic imperative reap the benefits of operational cost reduction, increased revenue and reduced regulatory risks.

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4 Realising quality data At PricewaterhouseCoopers, we start with your business objectives in mind. We then identify who should be responsible for what data within your organisation, and establish a programme for accountability. We also help you assess the value of your data and determine where and how data can be used strategically. After a process is structured to improve data, we help you develop a plan for sustaining the highest level of data quality possible to ensure that your business objectives are met. Tools Sustain Accountability Strategy Methodology Define Data Business Objectives Improve Best Practices Assess The foundation Data Quality: OnTarget Accountability is the foundation of data quality. By assigning the right people to the right roles, your organisation will have greater control over the accuracy of your data. Our Data Management team will help you organise a structure and plan for data quality accountability, including defining who in the organisation from backroom to boardroom should be involved, their specific roles and their overall responsibilities. And while data quality may not be a major discussion within the boardroom until something fails, a proactive plan will help support and convey the importance of data quality to upper management. A comprehensive strategy Once accountability is defined, strategy is the next important step. Where is your organisation today and where do you want it to be? How does your company prioritise data? What data do you need to support and execute your business plan? Taking a step back and looking at the big picture and where your organisation wants to go can lead to a clearer vision of what needs to be done. PricewaterhouseCoopers Data Management team will use best practices, industry expertise and technology to help bring your organisation in line with the appropriate level of quality data to support your business. Strategy is the blueprint to an overall framework to determine the appropriate data management processes. Insight: Processes Our methodology is the result of both accountability and strategy. As the tactical element of your overall plan, we help you outline four overall processes to keep your strategy aligned with your goals. Define: We work with you to identify your goals and prioritise and define the level of quality to meet your objectives. We focus on the data that provides the greatest benefit to your organisation.

5 Assess: Once your goals are clearly set, we analyse your existing data and quantify the gap between where you are and where you want to be. We will prioritise the opportunities and analyse the root cause to offer solutions for improvement. Improve: Our goal is to close the gap between where you are and where you want to be by utilising proprietary and industry-standard tools and processes to physically fix the data. To gain quick return on your investment, we will address any short-term issues, and we will focus on repetitive processes to address long-term progressive improvement and maximise your investment. By identifying and eliminating the problems, you have a better opportunity to recognise lost revenue, retain business and assess future problems or opportunities. Sustain: Data quality is not a one-time event, but must be managed as a continuous process to ensure that the benefits gained are sustained over the long term. We will bring process, organisation and technology together by utilising systems, tools and controls to ensure that your data is maintained at defined quality levels. Experience aligned with supporting technologies PricewaterhouseCoopers Data Management team serves both public and private companies of all industry groups from Fortune 100 to middle market emerging companies. Our experience over the years has helped many organisations uncover problem areas, including: Poor business decisions based on data duplication and inaccuracies Misleading data questioning the validity of financial reports Missed revenue and increased costs attributed to poor data Compromised data from poor systems conversions or implementations Potential legal issues based on noncompliance or regulatory pressures Our practical processes, along with our tools and templates, can accelerate your ability to address your organisation s problem areas. In addition, our experience working closely with key data quality technology vendors provides an expanded knowledge base to assist you in achieving a successful outcome. Accountability and strategy: The foundation before the action Accountability Identify responsibility from backroom to boardroom Assign the right people for the right role Assume responsibility at the business unit level Monitor and quality check the data Strategy Identify areas most critical to your business and how data issues affect your business goals Link data to business plans and objectives to prioritise correctly Understand where you are and where you want to be Determine the transition plan Implement a data management strategy

6 PricewaterhouseCoopers Data Quality Management Services Data Management provides market-proven data quality methodologies that help organisations improve the integrity of information and reach their objective for more efficient, accurate and reliable business and operational processes. PricewaterhouseCoopers is the world s largest professional services organisation. Drawing on the knowledge and skills of more than 122,000 people in 144 countries, we build relationships by providing services based on quality and integrity. For more information on PricewaterhouseCoopers Data Quality Management Services, contact: Gauteng: Durban: Ahmed Chohan Mark Telfer Cape Town: Tom Blok Your worlds Our people 2003 PricewaterhouseCoopers. PricewaterhouseCoopers refers to the network of member firms of PricewaterhouseCoopers International Limited, each of which is a separate and independent legal entity. All rights reserved.