Jet Analytics Launches Cloud Platform to Solve AI's Data Problem

RALEIGH, NC – June 01, 2026 – As organizations race to harness the power of artificial intelligence, many are hitting a wall built of their own data. In response to this critical challenge, insightsoftware, a leading provider of solutions for the Office of the CFO, has expanded its partnership with TimeXtender to launch a new, cloud-native version of Jet Analytics. The platform is engineered to deliver a unified analytics experience that provides the clean, governed data foundation necessary for successful cloud adoption and AI readiness.

The announcement addresses a growing pain point across industries: the promise of AI is often undermined by fragmented, unreliable, and siloed data. The new Jet Analytics platform aims to solve this by creating a scalable data infrastructure that enables businesses to move from disconnected reporting to trustworthy, AI-driven insights.

The AI Data Dilemma

The pressure on business leaders to adopt AI is immense, yet the path is fraught with obstacles. According to industry analysis from Gartner, data readiness remains a primary barrier, with projections indicating that over 60% of AI projects will fail to meet business objectives through 2026 due to inadequate data practices. Another 30% of generative AI initiatives are expected to be abandoned after the proof-of-concept stage because of poor data quality, escalating costs, or a lack of clear business value.

This reality is acutely felt in finance departments, where accuracy and reliability are non-negotiable. “AI isn’t magic, it’s only as reliable as the data behind it,” said Jennifer Warawa, President at insightsoftware. “Too many finance leaders are still flying blind, dealing with conflicting reports and systems that don’t align. Jet Analytics provides the infrastructure layer that makes AI possible, delivering a trusted, governed data foundation that accelerates time to value up to 10x faster than building it manually.”

Without a single source of truth, AI models can produce flawed or biased results, rendering them not just useless but potentially harmful. The new platform is designed to establish that crucial, governed layer, ensuring that the data feeding into advanced analytics and AI systems is consistent, clean, and comprehensive.

A Unified Platform for the Modern Data Stack

At the heart of the new Jet Analytics is its ability to integrate seamlessly with the modern data ecosystem. The platform now provides native support for leading cloud technologies, including Microsoft Fabric, Snowflake, Azure Data Lake, and Power BI. This integration combines advanced automation with simplified data management to dramatically accelerate the journey from raw data to actionable insight.

The native support for Microsoft Fabric is particularly significant. Fabric is Microsoft's end-to-end, AI-powered analytics platform that unifies data warehousing, data integration, and business intelligence into a single product. While powerful, Fabric can present a steep learning curve for teams without deep technical expertise. The new Jet Analytics acts as an abstraction layer, simplifying the complexities of T-SQL or Spark coding and empowering business users to build robust data solutions more quickly and efficiently within the Fabric environment.

By providing a consistent semantic layer, Jet Analytics enhances the performance and reliability of reports and dashboards built in tools like Power BI. This unified approach eliminates data silos and ensures all stakeholders are working from the same validated information, fostering more confident, data-driven decisions across the organization.

A Flexible Bridge to the Cloud

Recognizing that not all organizations are on the same modernization journey, insightsoftware has adopted a dual-platform strategy that stands out in a market often divided between cloud-only and on-premises solutions. While the new Jet Analytics is built for cloud-first data platforms and will receive continuous updates and new native connectors, the company will continue to offer and support Jet Analytics Classic.

This classic version is tailored for organizations that require SQL-centric, on-premises, or air-gapped deployments, giving them full control over a data warehouse built on Microsoft SQL Server technologies. This flexibility is a key differentiator, especially for the mid-market Microsoft Dynamics customers that form a core part of insightsoftware's user base.

For these businesses, a costly and disruptive “rip-and-replace” migration to the cloud is often not feasible. The dual-platform approach meets them where they are, providing a stable, proven solution for their current needs while offering a smooth, non-disruptive path forward to the cloud and AI when they are ready. This strategy allows companies to bridge the gap between their legacy ERP systems and modern cloud platforms at their own pace.

Strengthening the Ecosystem Through Partnership

The launch marks a significant deepening of the collaboration between insightsoftware and TimeXtender. The expanded agreement reinforces a shared commitment to serving the global Microsoft Dynamics ecosystem and beyond, combining insightsoftware's deep financial and operational reporting expertise with TimeXtender's data management automation.

“We are excited to expand our partnership with insightsoftware, deepening a long-standing collaboration that brings even greater value to our customers,” said Mosthagir Matin, Chief Revenue Officer at TimeXtender. “Together, we are delivering a unified, future-ready analytics platform that empowers organizations to move faster, gain clearer insights, and make more confident, data-driven decisions.”

By enhancing the capabilities of platforms like Microsoft Fabric and Power BI, the joint solution delivers synergistic value that extends across the data stack. It empowers organizations to finally connect their disparate data sources, establish a reliable foundation for advanced analytics, and begin leveraging the transformative potential of AI with confidence.