Data Discovery and Cataloging Problem: Many organizations face the challenge of scattered and poorly documented data assets, leading to a lack of visibility into their data landscape. This data discovery and cataloging problem makes it difficult for them to efficiently locate, understand, and utilize their data resources, resulting in inefficiencies, data redundancy, and missed opportunities for data-driven decision-making.

Compliance and Data Governance Problem: With the increasing complexity of data regulations and privacy laws, organizations struggle to ensure data compliance and governance. This problem arises from the difficulty of defining and enforcing data policies and standards across the organization, leaving them vulnerable to regulatory fines, data breaches, and reputational damage if they cannot adequately protect and govern their data assets.

Data Collaboration and Decision-Making Problem: Collaboration and data-driven decision-making are hindered when teams lack a centralized platform to share insights and collaborate on data. This problem prevents organizations from fully leveraging their data for strategic decision-making, as they often work in silos, leading to fragmented information and missed opportunities to harness data for competitive advantage.