Data Domains
The data domain represents the collective view of similar interests and the information that an organization trusts
Take a look at the faster decision-making framework approach
Learn how 3 Quarters work of Business logic building can be reduced to 1 month of efforts with Xenonstack.
Take a look at faster decision-making framework approach
Based on domain understanding and ElixirData catalog growth team defines the business logic on their own as the ElixirData platform binds all the data schemas together, the business team is not dependent on any other team.
Domain understanding is high.
No dependency on any team.
The growth team and data analysts can parallelly start exploring the business models from a centralized data platform. In this, the Growth team starts building the logic on their own to figure out the best data that fulfills the business need.
The focus is highly made on what customers should expect.
An intelligent data catalog enables quick decision-making.
The growth team can request the data from the centralized access management tool inside ElixirData and can start exploring on their own. Generally, the growth team gives access to the catalog, which reads permission, so they can identify the connected points in the data.
Domain understanding is high.
Data understanding is also high.
No communication overhead.
Structured, unstructured, and semi-structured data channels are used.
The data here is available right away and there is no need to write complex structured queries or CTEs. The insights can deliver right away to the CTOs and CFOs by the growth team and upon approval, then only the development efforts are included and move to production.
Insights are available without any dependency.
Business logic first approach.
Xenonstack Data Fabric enables you to Augmented Intelligence Data brings the challenges for growth team and having an intelligent and centralized catalog in hand gives more convenience to the teams to identify the sustainable data and risks associated with it.
Xenonstack enables seamless workflow management of data and information across teams which reduces manual and deployment efforts just to make decisions. Experimenting with Governed Data Sets improves the Quality of business processes outcome and thus stabilizes the economic factors associated with it for redevelopment or infrastructure costs.
AI continuously monitors systems for risks before they escalate. It correlates signals across logs, metrics, and traces. This ensures faster detection, fewer incidents, and stronger reliability
AI converts camera feeds into instant situational awareness. It detects unusual motion and unsafe behavior in real time. Long hours of video become searchable and summarized instantly
Your data stack becomes intelligent and conversational. Agents surface insights, detect anomalies, and explain trends. Move from dashboards to autonomous, always-on analytics
Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment
AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready
Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter