How data integration can improve long-term data strategies

The potential of data to deliver tangible business results is undisputed, whether it is to increase efficiency, identify new revenue streams, or increase employees’ ability to serve customers. However, many companies struggle to get the full picture of their data. Most midsize to large businesses typically have siled data in disparate systems, as well as in a variety of schemas and formats, which can be difficult to unify. This means that analysts often have to rely on outdated or incomplete data, hampering their ability to experiment and innovate.

Many data strategies are now focused on whether or not cloud-based data warehouses and data lakes provide better availability for analytics, machine learning and data science projects. Yet, as new cloud-hosted data sets are more flexible and readily available, the challenge most businesses face is how valuable data from different systems and storage can be integrated into these platforms. cloud-based shapes at the speed the business demands.

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