Dawiso is a data catalog built for business users. It is a modern data governance platform designed to help organizations keep all their company data in one place and in order. It simplifies data access, management, and understanding. When used correctly, Dawiso becomes a tool that allows you to:
Implementing a data catalog, powered by AI, lays the foundation for company-wide data transparency. However, this is not a one-time project, data requires ongoing care. If used correctly, it is like a guide that helps document the data landscape, track the connections between metrics, and, most importantly, serve as a communication tool. It provides a single place to standardize, publish, and maintain the terminology, linking terms to specific individuals responsible for them (see ownership in picture 3).
By acting as a “translation dictionary,” it ensures employees speak the same language and fosters transparency across the organization.
With well-described, connected data, employees no longer need to ask where to find information—it’s all centralized. Like a Google search or library catalog, it shows where data is, who owns it, and its history.
Imagine this: the controlling team reports declining profitability, while sales show increased revenue and meet targets. Who’s right? More importantly, why do these conflicting results coexist? Often, the issue isn’t just data discrepancies but misunderstandings or misinterpretations of information. The real question is how well data quality, transparency, and shared terminology are maintained across departments.
Clear definitions are critical. For example, a financial analyst might define “profitability” as net profit after expenses, while a salesperson sees it as sales growth or revenue. Both are valid but reflect different perspectives. Without centralized terminology, misunderstandings arise. A shared definition of “product profitability,” accessible and clear to all teams, is essential to avoid these issues.
With Dawiso being affordable, it enables true democratization of data, allowing individuals who are experts on the concept to access and edit definitions. It’s a place where everyone in your data community gains clarity and contributes to understanding.
Data lineage is like a roadmap for your data, showing its origins, transformations, and journey through systems. It answers key questions:
Beyond technical tracking, data lineage fosters trust by offering clarity into the data’s journey, supporting tasks like budgeting, forecasting, and reporting. It simplifies compliance, identifies downstream impacts of data issues, and reduces risks, enabling confident decision-making.
Business Benefits:
Understanding Metrics: Data lineage reveals the sources behind KPIs and metrics, such as tracing the “number of customers” metric back to its originating tables and columns.
Pinpointing Errors: When discrepancies arise, lineage helps trace errors to their source by visualizing data flow and transformations.
Data catalogs have many uses. Apart from the ones mentioned above, as a discovery tool for any complex and structured models. Or, for now, the actual documentation of AI systems to ensure their ethical use.
Our mission is to make data accessible to everyone in the organization, not just technical experts. Our user-friendly platform removes the complexities of knowledge management, data governance, and metadata. This empowers everyone to access, understand, and leverage data for better decision-making.