Data Engineers are typically spending too much time supporting the infrastructure (up to 90%) and not enough time delivering value (as little as 10%.) Which equates to significant waste for expensive, hard-to-find resources. To maximise your investment,  and therefore business value, automation is critical.

Using modern ways of working and leveraging automation and integration of cloud native platforms, X is Y helps data leaders and CIOs optimise data engineering tasks and reduce risk for the business.

Could this approach help your organisation achieve greater value from your investment in data?

We joined Ascend to chat more about:

• What current business and data leaders are struggling with and how X is Y is helping them overcome these challenges.

• What architectures, tools and methodologies are relevant to these solutions; and

• How data leaders should be thinking about technology to implement these solutions.