Data Warehousing for Mid-sized Organizations
DataSelf’s data warehousing is designed for organizations that need enterprise-grade analytics without enterprise-grade complexity (and pricing).
In addition, DataSelf’s data warehousing includes automated data modeling and is powered by the industry’s leading AI-Assist module.
Single Points of Truth
DataSelf provides automated modeling (& governance) via its DFT+ Module.
DFT+ centralizes an organization’s business logic so as to obtain ‘Single Points of Truth’ (SPOTs). This enables organizations to eliminate inconsistent metrics that are often spread across multiple reports, spreadsheets, and departments.
Leveraging a unique combination of both ‘star’ and ‘galaxy’ data schemas, DataSelf auto-generates business definitions that are both scalable and reusable. These definitions become instantly available across an organization’s entire analytics and reporting foundation.
DataSelf Architecture
DataSelf’s architecture is a flexible, ‘decoupled’ system that evolves with your business. Unlike other data warehousing solutions, DataSelf does not lock you into a specific cloud, visualization tool, or proprietary system.
Built for mid-market organizations requiring enterprise-grade analytics, DataSelf supports deployments across Microsoft SQL Server, Azure SQL, Fabric, AWS, private cloud, and on-prem environments.
The result is a governed, secure analytics infrastructure that protects your BI investments while providing insight on day #1. Among the architectural highlights that protect and extend your analytics investment are:
- Microsoft SQL Server / Azure SQL foundation
- Microsoft Fabric compatibility
- Azure, AWS, Google Cloud, private cloud, or on-prem deployment
- Decoupled data warehouse architecture
- Integration with Power BI, Tableau, Excel, and other AI platforms
- Multi-source data consolidation
- Security and compliance (HIPAA, FedRAMP, DoD, private, etc.)
The Challenge with Data Warehousing
Many data engineering and data warehouse/data lake platforms offer flexibility and scale, but can require technical teams, custom development, and ongoing maintenance.
DataSelf helps mid-market organizations accelerate such platforms and analytics with prebuilt connectors, automated governed modeling, KPI templates, and BI & AI-ready data structures.
DataSelf vs. DIY Data Engineering Platforms
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| Capability | SnowflakeMS FabricDatabricksFivetran | DataSelf Analytics+ |
|---|---|---|
| Requires Dedicated Data Engineers | Frequently | Often Not Necessary |
| Prebuilt ERP Pipelines | Limited | Extensive |
| Automated Data Warehousing & Optimization | Limited | ETL+ |
| Automated Governed Modeling | Limited | DFT+ |
| Report & Dashboard Templates | Minimal | KPI+ (over 8,000) |
| Single Version of the Truth | Custom Initiative | Automated |
| Star & Galaxy Schemes | Custom Initiative | Automated |
| AI-assisted Modeling & Governance | Partial | Integrated |
| Fabric Power BI / Tableau / AI Ready | Not Configured | Pre-configured |
| SMB & Mid-market Focused | No | Yes |
| ROI (time-to-insight) | Months | Hours |
| Architecture Options | Primarily Cloud | Flexible |
| Business Model | Platform (DIY) | Turnkey & Customizable |
| Pricing Model | Unpredictable | Predictable |
DataSelf’s Approach to Data Warehousing
DataSelf delivers an integrated, business-ready approach for mid-sized organizations, particularly those that are ERP-driven. With DataSelf, analytics are accelerated with:
- Prebuilt ERP data pipelines
- AI-assisted data warehousing (ETL+)
- Automated data modeling (DFT+)
- ‘Star’ and ‘Galaxy’ data schemas
- 8,000+ report & dashboard templates (KPI+)
- Integration with Power BI, Tableau, Excel, & others
- Usable analytics on day #1
- Consistent & affordable pricing
Ready to simplify data warehousing for your organization?
Talk with a DataSelf expert about enterprise-grade analytics without enterprise-grade complexity.