Simplify Complex Data Analysis with DataWalk’s No-Code Querying Solution
Key Features
- No-Code Querying: Effortlessly create sophisticated, complex queries without writing a single line of SQL code.
- Visual Data Representation: Easily navigate, visualize, and cross-reference massive, multi-source enterprise datasets.
- Deeper Data Insights: Uncover hidden root causes, connections, and trends through granular data analysis.
- Collaboration & Sharing: Save query workflows and share actionable insights securely across your team.
- Machine Learning Integration: Seamlessly leverage query results to power advanced predictive analytics and AI workflows.
Discover how DataWalk simplifies complex data queries with its intuitive, no-code querying interface. Engineered to handle vast enterprise datasets, DataWalk’s Universe Viewer empowers analysts to visually represent, filter, and cross-reference multiple data sets with ease. Without requiring any SQL expertise, teams can construct intricate queries using a visual interface, apply dynamic multi-level filters, and save or share investigation results effortlessly.
Watch the Solution in Action
How Does No-Code Visual Querying Transform Data Analysis?
Traditional enterprise data querying often creates a severe bottleneck, forcing domain experts and investigators to rely on technical teams to write complex SQL scripts. DataWalk eliminates this friction by providing a visual, drag-and-drop query interface. Analysts can intuitively navigate through billions of connected records, combine disparate data sources, and instantly visualize complex relationships across people, transactions, devices, and organizations.
By transforming raw data tables into a visual network map, DataWalk allows non-technical users to ask complex analytical questions, iterate on hypotheses in real time, and immediately uncover patterns that traditional relational databases obscure.
Accelerating Decision-Making with Shared Intelligence and AI
DataWalk’s Universe Viewer is built to support scale, security, and seamless collaboration across enterprise environments:
- Granular Root-Cause Analysis: Drill down into individual data points from high-level summaries without losing historical context or data provenance.
- Enterprise Collaboration: Save standardized query templates, export structured evidence, and share investigative workspaces securely across departments.
- AI and Machine Learning Integration: Feed visually refined query outputs directly into predictive models, machine learning algorithms, and agentic workflows to automate decision-making.
How DataWalk AI is Transforming Investigative and Intelligence Analytics
Download the eBookFAQ
What is DataWalk’s Universe Viewer?
The Universe Viewer is DataWalk’s core visual interface that allows analysts to visually explore, filter, and query massive, connected datasets across the entire enterprise without needing to write SQL code.
Do users need coding or SQL knowledge to use DataWalk?
No. DataWalk is designed specifically as a no-code querying platform, enabling business analysts, fraud investigators, and domain experts to build complex multi-source queries purely through an intuitive visual interface.
How does DataWalk integrate query results with Machine Learning?
Query results and resolved graph data generated within DataWalk can serve as structured inputs for machine learning models, predictive risk scoring algorithms, and automated agentic workflows to enhance automated decisioning.
Can visual queries and investigation results be shared securely?
Yes. DataWalk provides robust role-based access control (RBAC) and data governance features, allowing analysts to save query workflows, export structured reports, and securely share interactive workspaces with team members.
DataWalk Platform
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