Read any analyst report and you learn one thing – enterprises are migrating business data to the cloud. In working with our customers, we have found that data and analytics platforms built in the cloud are the foundation and accelerant for nearly every digital transformation strategy.

Our customers have told us that a significant pain point when moving to the cloud is their existing on-premises infrastructure. Many users struggle with integrating data from legacy on-premises systems due to complexity, unscalable infrastructure, and DevOps burdens.
That’s why, at Precisely, we work closely with partners such as AWS, Snowflake, and Databricks. Together, we ensure that moving from legacy systems to next-gen cloud platforms drives innovation, productivity, and business outcomes.

Data with integrity is trusted to be accurate, consistent, and contextual. However, building data integrity is challenging for most organizations. Data is siloed, stale, inconsistent, incomplete, full of duplicates, and incapable of delivering trusted insights or creating business value.

Continuously improving data integrity requires:
- Integrating data silos and ensuring better security
leveraging data observability to proactively identify data issues before they impact the business
- Ensuring reconciled and consistent data across the insurance and financial systems
understanding data policies and processes with insight into data’s meaning, lineage, and impact
-Delivering quality data attributes that are trusted and fit for purpose
enhancing business data through data enrichment and location intelligence solutions to unlock valuable, hidden context, and reveal critical relationships transforming raw data into actionable insights