In the beginning, we list questions to address in enterprises to enable efficient data standardisation and management.

Find out the most common challenges for businesses in data integration and processing.

In this chapter, we depict the three primary components of data mapping which are Source Schema, Mapping Rules, and Target Schema. We also explain the three most common mapping methodologies with their advantages, disadvantages, and ideal use cases.

In this section, we discuss terms related to data governance and guide you through the role of metadata. We also show you what are roles and responsibilities of stakeholders from various organization divisions in efficient data management.

Data integration is key to holistic analysis and bridging the knowledge gap. We show you how to create an integration strategy step by step.

In this chapter, we look ahead and show how emerging technologies will affect the use and analysis of data in the coming years. This is important in terms of how to prepare data today to make the best use of it in the future.