SparQ

SparQ is an Azure native enterprise data and reporting platform that unifies SAP and non SAP data into a single governed analytics and reporting foundation on Microsoft Azure. It provides an integrated path from SAP source systems through to modern Azure data platforms and business reporting, helping organizations modernize analytics while preserving trusted business logic and governance.

Built from Kagool’s SAP data accelerators, SparQ supports automated ingestion from SAP ECC, SAP S/4HANA, SAP BW, and SAP BusinessObjects into Azure environments. It enables transformation, modeling, cataloging, governance, and reporting in one consistent platform, replacing fragmented ingestion tools and disconnected reporting solutions with a single Azure aligned architecture.

SparQ establishes a governed reporting layer where enterprise KPIs and metrics are standardized across regions and business units. Built in lineage tracking, data quality monitoring, and access governance ensure data remains trusted and audit ready from source to dashboard. By combining ingestion, governance, and reporting enablement in one platform, SparQ accelerates SAP analytics modernization and reduces the complexity of moving from legacy SAP reporting to cloud analytics.

Type of user that benefits from the offer

SparQ is designed for medium to large enterprises running SAP landscapes that are adopting or expanding Microsoft Azure for data and analytics.

Key users include CIO and transformation leaders driving SAP to Azure programs, enterprise data and analytics leaders building a unified reporting platform, SAP BW or BusinessObjects teams transitioning to Azure analytics services, finance and business reporting teams needing consistent enterprise KPIs, and data governance teams requiring lineage and traceability.

Customer need or pain that the offer addresses

Enterprises with mature SAP environments often operate fragmented reporting landscapes. SAP and non SAP data sit in separate platforms, reporting tools differ across regions, and KPI definitions vary between business units. This leads to inconsistent reporting, duplicated data preparation effort, and limited trust in dashboards.

During SAP modernization, these challenges intensify. Moving from SAP BW or BusinessObjects to cloud analytics can risk losing business logic, lineage visibility, and governance controls. Reporting teams often rebuild models manually and reconcile data across systems, slowing transformation and increasing cost.

SparQ addresses this by providing a unified Azure reporting and data foundation that connects SAP and non SAP data into one governed analytics layer, preserves business definitions during SAP analytics migration, provides end to end lineage from SAP source to report, establishes consistent enterprise definitions, reduces manual data preparation, and ensures audit ready reporting.

Organizations typically achieve faster insight delivery and significant reduction in manual reporting effort while modernizing SAP analytics on Azure.

Business value and outcomes

Organizations adopting SparQ gain a trusted enterprise reporting foundation on Microsoft Azure with consistent KPIs, governed definitions, and traceable lineage. The platform accelerates SAP analytics modernization while lowering ongoing reporting effort and cost. Business users gain reliable dashboards they trust, and governance teams retain visibility of data movement and usage.

End to end SAP to Azure reporting foundation

SparQ delivers an integrated Azure native pipeline spanning the full journey from SAP source systems to business consumption. Automated ingestion extracts data and metadata from SAP ECC, S/4HANA, BW, and BusinessObjects into Azure data platforms. Transformation and modeling establish analytics ready structures aligned to enterprise definitions. Governance and cataloging provide lineage, quality, and access visibility. Reporting teams build trusted dashboards on this governed foundation.

SparQ by Kagool enables enterprises to modernize SAP reporting on Microsoft Azure with trust and consistency built in from the start.