Fabric Analytics

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Fabric Cloud Scale Analytics

Although Azure resources continue to be accessible, Fabric embodies Microsoft’s forward-thinking strategy for analytics workloads. If it aligns with your interests, we can delve into a comparative analysis of Fabric and Azure, specifically from an analytics perspective. We have a selection of Fabric resources at our disposal, which have proven beneficial to our clients and we’re more than happy to share these with you.

Accelerate data value for the era of AI

thumbnailTransformative stickiness in data-driven organizations

The only constants in today’s business environment are uncertainty and disruption. Why do some organizations pivot better than others? Simple: they’re data-driven. Find out four strategies that give these businesses agility and flexibility. #BI

Article: Transformative Stickiness: Embracing the Who, What and Why in Data-Driven Organizations

thumbnailThe Total Economic ImpactTM of Microsoft Azure AI

AI has the power to transform your data analytics. But not all AI offerings are equal. When you choose Azure AI, you get a portfolio of AI and ML services that help you modernize your workflows, increase effectiveness and efficiency, and make complex decisions and predictions.

Find out what Forrester days about the benefits of Azure AI in this free Total Economic Impact report—and contact us to learn how we can help your business use AI to get the most out of your data. #dataanalytics #analytics #bigdata #BI #MicrosoftPartner 

Article: The Total Economic Impact™ Of Microsoft Azure AI 

thumbnailUnify your entire enterprise data estate for analytics

You know you need to invest in artificial intelligence transformation to derive the ultimate value out of your data. But data and systems still live in different places and lack interoperability—and that has a direct downstream effect on driving business intelligence adoption throughout your business.

Achieving cloud-scale analytics may sound like a dream, but it’s becoming a reality. Sign up for our mailing list to see how you can unify your data estate and empower AI transformation. #dataanalytics 

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thumbnail Unlock the real value of your data with cloud-scale analytics

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Unify your hybrid and multi-cloud enterprise data estate for analytics

Tuesday Content to shareData integration: challenges and opportunities


Data integration: challenges and opportunities
Tue, Jul 9th 2024 8:00 AM
Data integration is one of the biggest hurdles organizations face when it comes to turning data into insight. Collecting, processing, and analyzing the zettabytes of data enterprises collect is made even harder when it’s highly distributed.

Learn about the Microsoft vision for data integration and the benefits it can deliver to your company. You’ll also see what products you can use to make it happen now. As a Microsoft partner, we can help you unlock the potential of your data and prepare for AI transformation. 

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thumbnailUnify your Hybrid Analytics

You know you need to invest in advanced digital transformation to derive the ultimate value out of data. But data and systems still live in different places and lack interoperability—and that directly affects driving BI adoption throughout your business.

 

Achieving cloud-scale analytics may sound like a dream, but it’s becoming a reality. Start by unifying your data estate so you have a single source of truth across all your lines of business and hybrid and multi-cloud environments. Download our infographic to see how we can help.

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thumbnailUnify your entire enterprise data estate for analytics

You know you need to invest in artificial intelligence transformation to derive the ultimate value out of your data. But data and systems still live in different places and lack interoperability—and that has a direct downstream effect on driving business intelligence adoption throughout your business.

Achieving cloud-scale analytics may sound like a dream, but it’s becoming a reality. Sign up for our mailing list to see how you can unify your data estate and empower AI transformation.

Read more >

thumbnailCarhartt turns to data under new CIO

American workwear company Carhartt may be more than 130 years old, but it stays current with the latest trends – like embracing AI. When its new CIO took over, the company moved more than 90% of its apps into the cloud. Now Carhartt is launching an ambitious AI and data analytics initiative. As a Microsoft partner we’re excited to share this story—and showcase how we can help your organization achieve a unified data estate. Read more.
#dataanalytics #bigdata #BI #datalake #MicrosoftPartner

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Built fit-for-purpose analytics models

thumbnailModern Strategies for Streamlining and Fueling Successful Data Architectures

Enterprises are modernizing and embracing AI transformation—and it’s having a huge effect on how companies view and manage their data. Find out why you need to manage data like a product instead of a legacy structure, and learn about other trends and strategies that can help you simplify data architectures.

As a Microsoft partner, we can help you unlock the true potential of your data.

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thumbnailBuild fit-for-purpose analytics models

Businesses generate and store massive amounts of data, but it exists in siloes. What would your business intelligence look like if you could work from a single source of truth?

Microsoft solutions for cloud-scale analytics take a different approach because data is all securely accessible from a single location. And that means you can transform your analytics models.
Our infographic shows you what happens when you build fit-for-purpose analytics models on a single location—without moving data around.

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Thursday Content to shareT-Mobile Supports 5G Rollout with Azure Synapse Analytics and Power BI

Telecommunications company T-Mobile lacked effective and accurate reporting on data and metrics while rolling out and building its nationwide 5G network. Using a data lakehouse supported by Microsoft Azure Data Factory, Azure Synapse Analytics, and Azure Databricks, T-Mobile built a centralized source of data. Read more to learn how T-Mobile unlocked the true power of its data.

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Scale transformative analytics applications

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