Data Warehousing Trends

Friends , today Very few enterprises set out to there remedy data quality problems just for the sake of data quality. So what’s pushing enterprises to actually do something about data quality, instead of just talking about it? First, poor data quality costs them money in terms of lost productivity, faulty business decisions and an inability to achieve results from expensive investments in enterprise applications. Second, poor data quality can make regulatory compliance extremely difficult. It’s true that many companies have cleaned up their customer data to enable CRM-related initiatives. However, their focus has now turned to data in other areas of the business, such as supply chain and finance, and to tackling what can seem like intractable data quality problems in nearly every business domain.