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Data Engineering

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Cloud Data Engineering

Design and migration of your existing data flow pipelines into the Microsoft Azure platform.

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Consolidation of several data sources that reside in many disparate platforms into a single, easy access dataset. 

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A well-designed data warehouse enables analytical reporting, delivers fast query responses and insights and speeds up your decision making.  

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Secure the success of your analytics project by using best of breed technology and processes.

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Experienced consultants in migrations from IBM Cognos, SAP BusinessObjects to Power BI and Microsoft SQL Server cloud migration.

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Analytics &

Delivering powerful insights into business operations to enable intelligence-led data-driven decisions.

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Architecture planning, Process review, requirements and Project Management are all key considerations analytics modernisation journey.

Other Consultancy 

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Why Work with Infuse Data Solutions

INFuse consultants have vast experience in providing analytics digital transformation solutions across a range of sectors and business scale. 

Certified in a multitude of technologies (Microsoft, SAP BusinessObjects, IBM Cognos), as well as holding Microsoft competencies in Data and Analytics, we have the skills necessary to take you on your analytics modernisation journey. Through continuous investment in the skills of our team, we can provide a service with the highest quality of technical know-how. 

Our focus on the needs and values of our customers has enabled us to forge long lasting partnerships as trusted advisors. We enable our organisations to build data-driven cultures and sustain a competitive advantage. 

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Agile Approach
Sprint Cycle 2-4 weeks

INFuse believe in an agile approach to deploying analytical solutions for their clients. Delivering high value reporting enhancements to your organisation in short development sprints. This approach is economical, limits impact on your team's resource and allows the partnership to quickly evolve and adapt to where it can impact your organisation most. 

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