Implications of Microsoft Fabric in Manufacturing

In This Article

Today, top manufacturers are leaning on data and analytics to maximize value. That’s true whether using real-time monitoring to identify problems early, leaning on artificial intelligence (AI) to predict consumer demand, or leveraging data analytics for better decision-making.

That’s why we’ve asked our experts to share insider tips for using one standout tool that combines a strong reputation with cutting-edge technology: Microsoft Fabric.

Benefits of Microsoft Fabric

What is Microsoft Fabric? 

“Microsoft Fabric is Microsoft’s newest cloud-based data analytics platform — essentially their latest offering aimed at uniting data integration, engineering, warehousing, science, and business intelligence.” 

Ben Devenport, Solutions Architect at MCA Connect

Think of it as a platform weaving a half-dozen different tools together so that data engineers and business users can seamlessly interpret and manage data.

Understanding Microsoft Fabric in Manufacturing 

To describe Microsoft Fabric, especially in the context of manufacturing, we must first consider what modern manufacturers want and need.

Fabric integrates the best features from tools like Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, and Power BI. Users can also connect, manage, and analyze data without having to learn any complex new software.

Ultimately, it supports many of manufacturing’s most impactful capabilities, including monitoring, insights, analytics, artificial intelligence (AI), and machine learning (ML).

“By integrating these tools, Fabric empowers every employee in the manufacturing sector with access to data. This means they can more easily make informed decisions, uncovering patterns and trends that can ultimately drive efficiency and innovation.” 

Meera Mohan, Senior Architect Manager – Manufacturing Intelligence at MCA Connect

Unleashing these innovative strategies lies in choosing and implementing the right data analytics platform. Pre-Built Data Platforms like MCA Connect Inspire Platform® can help you more quickly reap the benefits of Fabric at a manageable cost while also being scalable.

Tapping into Data Analytics 

As Meera describes, analytics aren’t just relegated to IT departments anymore. Today, they empower employees across the organization with data-driven decision-making capabilities.

This jump in use cases can be tied to a few trends: 

• The exponential growth of data volume, as more and more business functions have become measurable.
• Reductions in storage costs as data storage becomes increasingly accessible.
• Advancements in technology have made big data processing more cost-effective and straightforward.
• Developments in AI have streamlined the ability to generate value from data.
• The advancement of user-friendly data platforms which have enhanced data literacy.
• A growing number of companies are realizing that good data can help their teams best prepare for future tech.

Essentially, today, the value that a company can deliver is not just tied to the sales of its tangible products. Much of a company’s value now comes from the data that their workstreams generate.

Ben: “Analytics is an umbrella for the hidden value of a company. When an organization effectively harnesses it, new avenues for creating a more efficient, consistent, and profitable company quickly become clear. As we see companies mature more and more, even when they seem to have squeezed all the value possible out of their main business offering, analytics comes into play to unlock that next tier.” 

Choosing an Analytics Tool 

To reach this point, selecting the right analytics platform is crucial. So, start by doing your homework on a few different offerings or connect with a data analytics platform team that can help guide you.

It’s so easy to get caught up in all the demos and pitches. That’s why you want to ensure you’re always circling back to your tailored data strategy.

A few key questions you might want to consider include: 

• How is the platform going to help us reach our goals?
• Does it provide the ease of access and flexibility our users need?
• How big is the learning curve?
• Will it integrate seamlessly with key manufacturing intelligence systems? You’ll want to be sure you don’t need to revamp your existing system to add this type of analytics acceleration. For example, MCA Connect Demand Genius™ and MCA Connect Inspire Platform® work seamlessly with all Microsoft solutions as well as many other ERP systems.
• Does it include key features like predictive analysis, real-time analytics, powerful reporting, flexible deployment options, AI-powered tools, and machine learning integrations?

Meera: “Whatever you choose, the solution should be secure, easily accessible, and deliver a clear return on investment.” 

Microsoft Fabric is one of the top data analytics platforms on the market.

Fabric offers and improved implementation of Azure Synapse Analytics services, which provides familiarity alongside enhanced core functionalities and proven power.

But it also offers innovative features like shortcuts and mirroring. These options can eliminate the need for data migration, meaning you can seamlessly work with data in its original location.

And, keep in mind, we’re talking about a Microsoft product here. Investing in Fabric isn’t a gamble on a new tool. It’s a commitment to a trusted industry leader that will support a seamless data journey for decades to come.

Ben: “Ultimately, Microsoft Fabric’s promise of an end-to-end analytics platform — powered by industry recognized tools, Microsoft’s legal and technological oversight, Azure’s global infrastructure, and open-source integration — makes it a compelling choice.” 

Implementation Pitfalls to Watch Out For 

Once you’ve decided on a platform, take a moment with your team to ensure alignment on next steps.

Microsoft Fabric and similar data analytics platforms give manufacturers access to some highly powerful tools. Some manufacturers get so excited they rush in without a plan that the result is confusion and inefficiency.

Meera: “Skipping the strategizing step and rushing into implementation of Fabric, like any other data platform, will result in more unmanageable and untrustworthy data dumps. Which will, ultimately, add no value.” 

It’s mission-critical to define how your users will interact with the platform and ensure proper training and documentation are in place to support consistent, effective use.

Some organizations also struggle to balance expectations with the effort required. Implementing and maintaining this kind of analytics framework takes time and financial investment. A basic setup might work initially, but gaps will appear if the foundation isn’t solid.

Setting Up Your Analytics Structure the Right Way 

So, in a perfect world, what would a company’s analytics process/structure look like?

Every business is going to have a different structure that works best for them, and no company’s process is “wrong.” But, in our experience, there are a few key considerations:

Ben: “I recommend setting up a recurring, monthly meeting. Use this time to bring together stakeholders from the C-Suite all the way to entry-level developers. Discuss what the company’s data estate looks like, how you’re ensuring data governance rules are followed, and whether everyone’s still on the same page when it comes to company goals. Ensure best practices are followed, ensure that the data vision makes sense to each involved party, and ensure problems are being solved to ultimately make goals more attainable.”