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5 Reasons Why Microsoft Fabric Is a Game-Changer for Analytics

5 Reasons Why Microsoft Fabric Is a Game-Changer for Analytics
IR

Author

Ian Roberts

Date

May 9, 2024

Length

5 mins

5 Reasons Why Microsoft Fabric is a Game-Changer for Analytics

Did we tell you? There’s a new data platform in town and it’s called Microsoft Fabric! In this product, Microsoft has brought together all the best capabilities of Azure Synapse, Azure Data Factory, and Power BI into a single, unified, cloud-based experience – empowering businesses to efficiently manage, analyze, and derive valuable insights from their data. They tell us it’s going to be a game-changer!

Why Businesses Need to Value Their Data

You don’t need us to tell you that data is a highly valuable asset. Organisations that recognize the inherent value in their data are better positioned to thrive. For example, studies have shown that data-driven companies are 6% more profitable than their competitors and SMEs that use data analytics are 2.2 times more likely to outperform their peers in terms of profitability.

Data can be put to multiple uses, providing invaluable insights into customer behaviour, market trends, and operational performance, enabling organizations to make more informed decisions and adapt to changing market conditions. By investing in data management and analytics solutions like Microsoft Fabric, businesses can unlock the full potential of their data, leading to improved efficiency, enhanced customer experiences, and ultimately, increased profitability.

What are the core value propositions in Microsoft Fabric?

So, what does Microsoft Fabric bring to the party? As established consultants working with the entire suite of Microsoft business technology, we know what we are talking about when it comes to Microsoft Fabric consultancy. Here are 5 Reasons Why Microsoft Fabric is bringing together the world of analytics

1. Fabric Delivers a Seamless, End-to-End Analytics Experience

Gone are the days of juggling multiple disparate tools and platforms for your data integration, warehousing, and business intelligence needs. Fabric provides a cohesive, end-to-end analytics experience, allowing you to ingest, prepare, analyse, and visualize your data - all within a single, intuitive interface. This streamlined approach saves time, reduces complexity, and enables faster, more informed decision-making.

2. Fabric Ensures Robust Data Governance and Security

Data governance and security are critical concerns for any organization handling sensitive information. Fabric addresses these challenges head-on, providing a consistent data governance model and comprehensive security controls that span your entire analytics ecosystem. With Fabric, you can rest assured that your data is secure, compliant, and accessible only to authorized users.

3. Fabric Offers Scalable and Cost-Effective Pricing

Fabric's pricing model is designed to scale with your evolving data and analytics needs. Instead of paying for individual services, Fabric uses a single, capacity-based pricing structure that adjusts automatically as your requirements grow. This flexible approach helps you optimize costs and ensures that your analytics investments keep pace with your business.

4. Fabric Embraces an Open and Extensible Architecture

Fabric is built on open standards and APIs, allowing you to seamlessly integrate your existing tools and services. Whether you're working with on-premises systems, other cloud platforms, or custom-built applications, Fabric's open architecture ensures that your analytics capabilities can adapt and evolve to meet your unique needs.

5. Fabric uses AI to enhance user experience in exciting ways

Integrating Azure OpenAI Service, which powers AI models like GPT, into Microsoft Fabric allows users to interact with their data more naturally and intuitively.

 Users can now "ask" questions about their data and have Fabric generate relevant insights, code, and visualizations in response.

 This enables technical and non-technical users to quickly extract valuable information from their data without complex queries or programming.

For example, a business analyst can ask Fabric "What were our top-selling products in the Northeast region last quarter?" and receive a summary, chart, and suggested next steps - all generated by the integrated AI capabilities.

Microsoft Fabric removes the barriers between people and their data, allowing organizations to unlock transformative value that was previously out of reach.

What does all this mean for you and your business?

Fabric is a native cloud platform which will fit into any digital landscape – streamlining all the analytics processes you want by unifying key data and BI capabilities.

The critics have described Fabric as the next step in Microsoft’s product evolution - breaking down some of the barriers that were frustrating users and holding them back. It will certainly unlock the potential of data for many new businesses and is worth getting to know.

That is why we invite you to attend our Introduction to Fabric, a virtual masterclass via Teams on Thursday, May 23rd 2024 at 8.45 for a 9.00 start. We will spend an hour going through all the features, showing you how the platform can be used to organise and analyse your data.

Under the expert guidance of senior analytics consultant Ian Roberts, you will hear everything you need to know about getting started on your data journey with Microsoft Fabric.

Areas covered include;

  • What is Microsoft Fabric?

  • How does Fabric fit with Power BI and Azure?

  • Key components

  • Understanding Fabric Licensing

  • Building a successful BI practice with Fabric

  • Q & A session

Click here to register Getting started on your data journey with Microsoft Fabric | PTR

If you're looking to elevate your analytics capabilities, we think Fabric is a solution worth exploring. If you are looking for training then please start to explore our huge ptr data analytics training services here.

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Ian Roberts

Technical Director

Ian is an incredibly talented solutions architect. He has over 15 years of experience working with data, as part of a broader IT career spanning over 20 years.

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