Digital transformation forces companies to consider data an asset, making new business models or processes possible. Fast-changing markets lead to fast-changing business requirements. What delivers value today will not necessarily have value tomorrow.
That is why data transformation is so significant: it should transform data into a desired format with business value today and tomorrow.

Organizations lost control over data delivery:

• DWH projects go over time and budget
• Lack of trust in data projects
• Data is not readily available across the organization, prohibiting cross-divisional collaboration
• Lack of transparency in data results in suboptimal answers to cross-divisional questions
• Maintenance costs are soaring

Some progress has been made in recent years, but it is not nearly enough. We need to raise the bar for data transformation seriously.
Learn how automated data transformation and abstract ETL will become the next industry standard in data transformation.