DAaaS Ops – Fabric Native Data Operations –12 weeks Implementation

Most enterprises that deploy Microsoft Fabric reach the same point six months later - pipelines are running, but the business has stopped trusting the data.

The technology is in place. The investment has been made. Yet reports show incorrect figures, data quality issues appear without warning, and dashboards are quietly abandoned because the numbers cannot be confidently defended in a meeting.

This is not a technology problem. It is the result of one specific gap - the operational layer was never built.

DAaaS Ops is Aximsoft's 12-week professional services engagement designed to close that gap. We specialise in Fabric-native data engineering and data operations. We establish the production foundation that turns a Fabric deployment into a platform the business can depend on - reliably, every day.

BEFORE DAAAS OPS - WHAT ORGANISATIONS TYPICALLY EXPERIENCE

• A pipeline fails overnight and no alert is triggered. By morning, business reports are showing stale or incorrect data. By mid-morning, confidence in the platform has taken another quiet hit.

• Data quality checks exist in documentation but not in practice. Inconsistencies travel downstream and surface in executive reports at precisely the wrong moment.

• Different business units report different figures for the same metric. Nobody is certain whose version is correct.

• Dashboards stop being used. Decisions get delayed. The return on your Fabric investment diminishes - not because the technology failed, but because the operational foundation was never established.

DAaaS Ops is designed to help reduce these operational challenges.

BUSINESS OUTCOMES YOUR ORGANISATION CAN EXPECT

• Data your business can act on with confidence. Automated quality checks and pipeline monitoring ensure data reaching your analysts and executives is accurate and consistent - removing manual validation before every decision.

• Operational issues resolved before they reach the business. Proactive monitoring means your team responds in real time - not after business users are affected.

• An analytics team focused on delivering value. When the platform operates reliably, your analytics professionals generate insights instead of chasing data quality problems.

• Clear performance visibility for leadership. Operational dashboards give your CIO, CDO, and data leadership a near real-time visibility into platform performance - supporting informed conversations at the executive level.

• A foundation for AI and advanced analytics. Reliable production-grade data supports successful AI initiatives on Fabric. DAaaS Ops builds that foundation.

• An operating model your team owns. We establish the processes and capability that allow your team to operate and scale the platform independently.

WHAT WE DELIVER IN 12 WEEKS

• Production data pipelines - resilient, Fabric-native pipelines built to enterprise standards.

• Data quality framework - automated checks and anomaly detection before issues reach reports.

• End-to-end data lineage - auditable visibility into data origin, movement, and transformation.

• Operational dashboards - real-time pipeline health and performance for engineering and leadership.

• Monitoring and alerting - proactive detection so your team acts before the business is affected.

• Microsoft Purview integration - data classification, lineage, and access management built in.

• Fabric Operating Model - processes, runbooks, and responsibilities for sustainable operation.

• Knowledge transfer - structured handover so your team owns and scales the platform confidently.

TECHNOLOGY SCOPE

Microsoft Fabric - OneLake, Lakehouse, Data Factory, Synapse Analytics, Power BI - Microsoft Purview, Microsoft Entra ID, Azure Key Vault, Azure Monitor, Application Insights, and Azure OpenAI Service.

OUR APPROACH - 3 PHASES OVER 12 WEEKS

• Phase 1 - Assess - Weeks 1–3: We review your environment, identify gaps, agree targets, and build a prioritised plan around your organisation.

• Phase 2 - Build and Operationalise - Weeks 4–9: We implement pipelines, quality checks, monitoring, lineage, and dashboards. Your team works alongside ours throughout.

• Phase 3 - Run and Scale - Weeks 10–12: We validate the platform, complete documentation, deliver enablement sessions, and hand over your scale-out roadmap.

WHY AXIMSOFT

Aximsoft specialises in Fabric engineering, data platform operations, and enterprise analytics. We have supported organisations across financial services, retail, healthcare, and manufacturing in moving from reactive environments to reliable, production-ready Fabric platforms.

YOUR NEXT STEP

Contact Aximsoft for a complimentary Fabric Data Operations Assessment - a clear view of your gaps, risks, and what your platform looks like after 12 weeks.

Email: daaas@aximsoft.com | Website: www.aximsoft.com