Řízení kvality klientských dat

There are series of competition battles emerging in present day while companies are recovering from last economic crisis. These battles are for customers. Take financial market for example -- it's quite saturated. Most of people do have some financial product since their birth date. Each one of us has insurance and most of us have at least standard banking account. It is imperative that insurance companies, banks and such firms have needed information about ourselves, for us to be allowed the use of these products. As the time passes we change the settings of these products, we change products themselves, buy new ones, set their portfolios, go to competition, even employees and financial advisors who take care of us do change over time. All of the above means new data (or a change, to say at least). Our every action specified leaves a digital footprint in the information systems of financial services providers who then try to process these data and use them to raise the profit using various methods. From the individual company's point of view is customer (in this case a person who has at least one product historically) unfortunately tracked multiple times due to the above changes, so this person actually seems like multiple persons instead of one. There are many reasons behind this and they are well known in common practice (Many of them are named in theoretical part). One of the main reasons for this is a fact that data quality was not a priority in past. However, this is not the case of present day and one of the success factors when it comes to spoiling client base portfolio is the level of quality of information that are tracked by companies. Several methodologies for data quality governance are being created and defined nowadays, although there is still lack of knowledge of their implementation (not just in the local Czech market). These experiences are well prized but most of internal IT departments are facing lack of knowledge and capacity dispositions. This is where great opportunity emerges for companies that use accumulated know-how from various projects that are not quite frequent in individual firms. One of such company is KPMG, Czech republic, LLC., thanks to which this work was created. So, what is the purpose and field of knowledge that is covered on the pages following? The purpose is to describe one such project concerning analysis and implementation of chosen tools and methodologies of data quality in real company. Main output is represented by a supporting framework as well as a tool that will help managers cease administration and difficulties when managing projects that concern data quality.