Digital transformation is forcing companies to view data as an asset that enables new business models or processes. Rapidly changing markets lead to rapidly changing business requirements. What is of value today is not necessarily of value tomorrow. This is why data transformation is so important: it should transform data into a desired format that provides business value today and tomorrow. 

Organizations have lost control over data delivery: 

• DWH projects go over time and budget
• Lack of confidence in data projects 
• Data is not readily available across the enterprise, preventing cross-departmental collaboration 
• Lack of data visibility leads to suboptimal answers to cross-functional questions 
• Maintenance costs are rising rapidly 

Some progress has been made in recent years, but it is far from enough. We need to seriously raise the bar for data transformation. Learn how automated data transformation and abstract ETL are becoming the next industry standard in data transformation.