What To Look for in a Data Integration Solution

In business today, it’s vital to deliver clean, usable data for not only analytics but also AI, machine learning, and data science initiatives. But with more data and more complexity than ever before, that task can feel like a moving target:

• Data sources, varieties, and volumes are multiplying all the time
• Data needs to be secure and governed across the entire pipeline
• The underlying architecture has to have the flexibility to scale
• Costs, usability, and support must also be considered