Build a data foundation that enables insight and innovation.
Organizations of all sizes and industries are struggling with data integration system challenges. To address these challenges, your business needs an effective data integration pipeline as part of a rock-solid data foundation. Only when you’ve built a strong data foundation is it possible to get cutting-edge business insights and enact true data-driven decision-making—from advanced reporting and visualization tools to the latest developments in artificial intelligence (AI) and machine learning (ML).
Data integration needs to efficiently combine information from many different source files and databases, all into a single target location for processing and analysis. ETL (extract, transform, load) is one of the most common ways of performing data integration in practice.
Unfortunately, many companies experience common challenges with data quality. Without solving these challenges, it can be difficult to stay ahead of the competition. And unless you have the necessary in-house expertise, building a data integration pipeline that works for you can be time-consuming and distracting from your core business functions.
