Most companies would acknowledge that quality customer data is important. In most cases, however, customer data quality is not good enough. Why? Changing business requirements Most businesses have a history. Customer data may have been accumulated over years, or decades. Data that was captured in the past may not have complied with the requirements of…
Last week we explored the reality that, for most companies, more one in three customer records is out of date, or otherwise of poor quality. A common approach to solving the problem is to look to third party data providers to provide updated data. This approach can work, but, in my opinion should be a…
Almost every business has a data quality problem. In a study involving 75 executives only 3% found that their data fell within the minimum accepted range of 97 or more correct data records out of 100. Yet for many businesses struggle on with poor data hampering their business and putting them at risk. The timing…
Tomorrow will be South Africa’s 6th general election since 1994’s first democratic election. Is the economy working for you? Are you getting the services you need? Are you being treated fairly? Let your voice be heard! Irrespective of your political affiliation – voting is the only practical way to have your voice be heard. I…
Artificial intelligence and machine learning are the new “big data’ – the hottest topic in analytics and decision making. The premise – that computers that can think and learn, like humans, can replace humans for many tasks.. Projects like driverless cars; the Internet of Things (IoT) – where machines and devices contaminate amongst each other…
Data quality and data governance both strive to optimise data and information to meet business needs. Simplistically, however, where Data Governance deals with the definition of, and responsibility for, data management standards, Data Quality deals with the practical implementation, monitoring and enforcement of these data management standards for individual platforms and systems. Both data governance…
The true cost of ELT Today’s business world is demanding more from the data warehouse, because more than ever an organisation’s survival depends on its ability to transform data into actionable insights. However, ELT data integration workloads are now consuming up to 80% of database capacity, resulting in: Rising infrastructure costs Increasing batch windows Longer development cycles Slower…
