Migrating Semantic Models from SSAS to Microsoft Fabric for Improved Efficiency

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Increase in real-time analytics capabilities

40

Reduction in manual maintenance efforts

20

Improvement in data integration efficiency

About Client

The client is a leading enterprise focused on data-driven decision-making. Their operations require robust data modelling, analytics, and real-time insights to optimize business strategies. Facing limitations with their legacy SSAS infrastructure, they sought a scalable, cloud-native solution to enhance data management and reporting efficiency.

Modernizing Semantic Data Models for Scalable Cloud Analytics

Unveiling Success

The client required a comprehensive solution to modernize their semantic data model, aiming to ensure seamless integration with cloud-based analytics tools. Their primary goal was to enhance real-time data access without relying on manual intervention, streamline data management workflows, and reduce redundancy. Additionally, they sought to lower infrastructure costs while simultaneously improving performance and security.

Client’s Challenges

SSAS, as an on-premises tool, restricted real-time collaboration and remote access.

Manual updates and troubleshooting consumed significant resources.

Managing large and complex data models in SSAS led to inefficiencies and slow performance.

Connecting SSAS with other cloud-based analytics tools required extensive setup and manual configurations.

Our Solutions

Implemented an automated process to transfer relationships, calculated tables, columns, and security settings from SSAS to Microsoft Fabric.

Enabled live data interaction through Fabric’s Direct Lake mode, reducing data duplication and improving processing speeds.

Ensured interoperability with cloud analytics tools for advanced reporting and visualization.

Leveraged Fabric’s built-in governance and security features to enhance data protection and regulatory adherence.

Tools and Technologies Deployed

Business Outcomes

Maximizing Business Value

Enhanced Accessibility & Real-Time Insights:

Migrating to Fabric improved data availability, allowing users to access and analyze live data seamlessly.

Optimized Performance & Scalability:

With Direct Lake mode, query performance improved significantly, reducing the need for frequent imports and data refreshes.

Cost-Effective & Efficient Operations:

Cloud-native infrastructure eliminated the need for extensive on-premises maintenance, lowering operational costs by 35%.

Strengthened Security & Compliance:

Built-in security protocols in Fabric ensured data integrity and compliance with industry standards.

Why Kanerika?

Kanerika is a premier provider of data-driven software solutions and services that facilitate digital transformation. Specializing in Data Integration, Analytics, AI/ML, and Cloud Management, Kanerika prides itself on its expertise in employing cutting-edge technologies and agile methodologies to ensure exceptional outcomes. With a proven track record across various industries, Kanerika maintains rigorous quality standards, backed by ISO 27701 & 27001 certification, SOC II, and GDPR compliance. We are also CMMi Level 3 appraised, further accentuating our commitment to quality service delivery. As a distinguished partner of Microsoft, AWS, and Informatica, Kanerika’s commitment to innovation and strong partnerships positions it at the forefront of empowering businesses for their growth

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