AI-Driven Data Integrity Innovations to Solve Your Top Data Management Challenges

Key Takeaways:

• New AI-powered innovations in the Precisely Data Integrity Suite help you boost efficiency, maximize the ROI of data investments, and make confident, data-driven decisions.
• These enhancements improve data accessibility, enable business-friendly governance, and automate manual processes.
• The Suite ensures that your business remains data-driven and competitive in a rapidly evolving landscape.

Data-driven decision-making is top of mind for businesses today – in fact, 76% of organizations say that it’s the leading goal of their data programs.

And yet, making this goal a reality is far easier said than done. Many businesses face roadblocks within their critical enterprise data, including struggles to achieve greater accessibility, business-friendly governance, and automation.

If pain points like these ring true for you, there’s great news – we’ve just announced significant enhancements to our Precisely Data Integrity Suite that directly target these challenges!

• Upgraded Data Governance service
• Artificial intelligence (AI) advancements
• Expanded data integration capabilities
• Enhanced Data Catalog  functionality

Together, these advancements enable your organization to better integrate, govern, and improve the readiness of your data for trusted analytics, reliable AI insights, and faster time to value.

Let’s take a closer look at these exciting innovations and explore how they’ll help you tackle six top data management challenges. Then, you’ll be ready to unlock new efficiencies and move forward with confident data-driven decision-making.

4 Key Enhancements in the Precisely Data Integrity Suite

First, an overview of what these enhancements entail.

1. Upgraded data governance experience

Get ready to boost productivity and collaboration as a result of the modern, intuitive user experience and improved performance in the Data Integrity Suite Data Governance service – resulting in greater efficiency and collaboration. Here’s a look at what’s new and what you’ll be able to accomplish:

• Ensure faster time-to-value and scalability with a microservices-based architecture – you’ll increase performance and simplify deployments.

• Boost engagement and adoption with integrated, persona-based insights –access tailored, role-specific data quality scores, technical details, and relationships at-a-glance.

• Streamline collaboration and accountability with new governance capabilities – expanded workflow automation helps you increase flexibility and automation across data stewardship tasks.

2. AI Manager to ensure trusted data for strategic business initiatives

With the addition of AI Manager, you can now leverage GenAI capabilities within the Data Integrity Suite while maintaining complete control over data sovereignty and compliance.

• Flexible AI model integration – Register your large language model (LLM) credentials with the Data Integrity Suite, starting with AWS Bedrock, ensuring they comply with your organization’s legal and procurement requirements.

• Scalable AI/ML functionality – Efficiently scale AI usage within the Suite by leveraging external LLMs, with processing handled by the infrastructure where the model resides. With the ability to turn functionality on or off based on business requirements, you gain full control over when and how AI is applied.

• Automated metadata management – AI-generated catalog asset descriptions significantly reduce manual efforts and improve metadata quality – enabling teams to focus on more strategic tasks.

3. Expanded data integration capabilities

To meet the growing demand to automate data accessibility across ecosystems, customers of the Suite’s Data Integration service can now:

• Deliver data to Snowflake environments for near-real-time data accessibility.
• Gain a greater understanding of mainframe API latency, driving better visibility into data movement across transaction journeys for both mainframes and open systems – so teams can identify and resolve bottlenecks efficiently.

4. Enhanced Data Catalog

With new visual card views, you gain automated data quality scores, technical details, and tailored information for different roles. Catalog usability enhancements make it easier to discover and assess assets, while persona-based lineage visualization enables you to trace data flows at the source, field, or dataset level – providing role-specific insights.

6 Top Data Management Challenges – Solved!

With these powerful capabilities in mind, think about the biggest challenges within your organization’s data program.

How could you leverage these advancements to not only overcome these barriers, but ensure that you’re ready to pivot, scale, and thrive amid market disruptions and an ever-evolving business landscape?

For more inspiration, here are six examples that illustrate the possibilities of leveraging the new enhancements of the Data Integrity Suite.

Challenge #1: Manual effort and inefficiencies

It’s critical to maintain metadata, catalog data assets, determine data quality, and manage workflows – but doing so manually is tedious, time-consuming, and a drain on your resources that could otherwise be spent on more strategic initiatives.

• Solution: Enhance efficiency and productivity with AI Manager and auto-generated catalog asset descriptions. With these new additions, you reduce the need for manual work, streamline data management, and enable your teams to focus on higher-value tasks.

Challenge #2: Difficulty in ensuring data accessibility across platforms 

Many organizations struggle to integrate and use data effectively across diverse systems, especially in cloud environments like Snowflake.

• Solution: Improve data accessibility across ecosystems with expanded data integration capabilities. The ability to target Snowflake for data integration simplifies and enhances the accessibility of trusted data in cloud environments – so that you can readily leverage the information you need for modern analytics and AI workloads.

Challenge #3: Disruption of data delivery to services and applications

Data delivery issues can cause major downstream impacts – especially when your teams don’t have visibility into the root cause. This challenge results in wasted time and money, as well as service and application disruptions.

• Solution: Quickly remediate data delivery issues and minimize disruptions with latency metrics. The Suite’s Data Integration service offers new latency metrics that provide an enhanced view of what is causing data delivery failures. With these insights, your team can remediate issues without impacting downstream services or applications.

Challenge #4: Complexity in understanding data lineage 

If you lack clear visibility into the lineage and context of your data, your ability to make informed decisions will be impacted.

• Solution: Greater clarity and usability of data with persona-based lineage visualization and tailored catalog card views. The enhanced data catalog features provide role-specific insights so that your users can quickly understand and trust their data’s journey, context, and relevance.

Challenge #5: Inconsistent or ineffective data governance processes

Existing governance frameworks may lack flexibility or be too technical, leading to inconsistent application or engagement with governance solutions.

• Solution: Drive broader governance adoption, efficiency, and consistency with better user experience and workflow. Enhancements to the Data Governance service include a modernized, more intuitive user experience and expanded workflow capabilities. These updates facilitate collaboration between your business and technical teams, which boosts governance adoption, efficiency, and consistency.

Challenge #6: Pressure to maximize the ROI of data investments

The pressure is on to demonstrate value from your data assets – particularly in AI and analytics initiatives.

• Solution: Accelerate AI and analytics projects with automation, governance, and data integration advancements. By automating metadata management and leveraging enhanced governance capabilities, you can achieve reliable and high-integrity data that boosts your AI and analytics projects, maximizing your ROI – faster.

How many of these challenges resonate with your current data management pain points? It’s time to tackle these issues head-on to ensure your business’s successful, data-driven future.

Move Your Data Integrity Journey Forward with Confidence

Keeping up with the pace of change has never been more important, and it’s critical to ensure that you’re meeting pressing industry needs – including cloud adoption, AI readiness, operational efficiency, and robust, business-friendly data governance.

To achieve this, it’s essential to have easy access to the trusted data you need for confident decision-making.

By harnessing AI-driven advancements and enhanced data governance capabilities like those we’ve covered here, you’ll drive stronger insights, greater efficiencies, and faster time to value – ensuring that your organization remains competitive as current needs evolve and new ones arise.

Take the next steps in your data integrity journey today – learn more about the Data Integrity Suite and schedule a personalized demo.