At Trust ’25, Precisely has announced new capabilities for the Precisely Data Integrity Suite. Interestingly, the new features align with a number of things called out by the recent Precisely/BARC Observability for AI Innovation. Among those are greater observability, governance and data quality. All three are part of how Precisely ranks an organisation’s data maturity.
Chris Hall, Chief Product Officer at Precisely, said, “There is no doubt that trusted data is the cornerstone of every successful AI, analytics, and business transformation initiative.
“With these latest enhancements, we’re empowering customers with an intelligent, cohesive, and user-friendly data environment to push their organisations ahead, finding greater efficiencies and growth opportunities that advance them on their data integrity journey.”
Building a better foundation for data
One of the key drivers behind this announcement is Precisely’s view that organisations need a better foundation for their data. That foundation is built on data quality, data trust and data integration. All of these are areas where organisations continue to struggle to improve. However, unless they address them, they will struggle to deliver accurate and trusted AI or cope with increasingly complex analytics.
Building a better foundation is not just about the capabilities being added to the Data Integrity Suite. Precisely has also launched its AI ecosystem for data integrity. It is, in a number of ways, underpinned by this announcement.
Among the key features for a better foundation are the use of AI-powered data quality and entity resolution. Precisely is not relying on the use of any of the augmented generation tools RAG, KAG or CAG (Retrieval, Knowledge or Cache). Instead, it is using AI to do better matching and merging with data.
This will deliver several benefits to customers. One is a more coherent view of data without users having to look at multiple data sources. That will also benefit AI delivery as it will deliver a better data fabric on which an AI sits. Another benefit will be the ability to do data enrichment as part of that match and merge process. That will also boost the quality of data on which AI can be built.
Improving observability
At the core of this announcement is data quality. The benefits above are part of that but so it observability. If you lack visibility across your data environments, you cannot see where the problems are. In the Precisely/BARC report mentioned earlier, observability of data quality and data pipelines is still lacking.
On data quality, 26% have optimised their observability of data quality, with 32% having implemented processes. That is just 58% of organisations. For data pipelines, the numbers are 19% and 36% respectively, giving a total of 55% of organisations. In neither case is this a high bar, showing how much still needs to be done.
Precisely sees the enhancements in the Data Integrity Suite as boosting that observability. The key to that is greater visibility into data flow. It means that an organisation can see what is happening in its data pipelines. That, in turn, allows them to identify problems with data quality through root cause analysis. The result is increased data quality across the entire data lifecycle, irrespective of where the data is.
In the world of AI, context is king
One of the key data enrichments that Precisely provides is location-based data. That is key for many of its customers in areas such as retail and government.
Precisely stated, “AI models and analytics initiatives often fall short without location-based context to reflect real-world dynamics, deliver actionable information, and boost the relevance of outcomes.
“The latest enhancements uniquely address this critical gap by directly embedding advanced location intelligence and data enrichment functionality into operational and analytical workflows.”
To deliver that location context, the Precisely Data Graph API supports new spatial analysis and batch processing. It also has a new AI-powered Address Proximity Search. That enables users to quickly find nearby locations of interest such as stores, ATM, medical and other facilities.
Enterprise Times: What does this mean?
Organisations are piling all in on AI but are discovering that their data quality is a major roadblock. It is leading to questionable decisions and creating a crisis of confidence in their data. This is why Precisely has decided it is time to move further on its support for AI.
At Trust ’24, it talked about the need to boost AI readiness with better data quality. However, it was not until February this year that it added AI-powered capabilities to the Data Integrity Suite. In conjunction with Trust ’25, it has made seven separate AI-related announcements. This is a significant set of moves that will be welcomed by its customers and will attract the attention of a lot of organisations.
These product enhancements will make it easier for organisations to improve data quality and data readiness for AI. Importantly, it will also increase the observability of data and AI models. As organisations increasingly look to AI to run their businesses and deliver new business models, data quality will be the foundation of their success.
