4 Azure analytics scenarios for your business growth

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What is Azure Synapse Analytics?

 

Azure Synapse Analytics is a boundless analytical service that creates a single, efficient framework for big data and data warehousing.

We look at four real-world use cases in which global companies have used Azure Synapse Analytics to evolve and drive business value through data in this blog post. Azure Synapse is a complete, out-of-the-box solution for speeding up time-to-insight and rising business agility. Azure synapse architecture is the only end-to-end application that integrates data ingestion, big data analytics, and data warehousing.

The cases we will talk about in this article will help you determine if Azure cognitive services are for you or not.

Azure Synapse Analytics
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Case one:

 

Perfect timing inventory 

 

Aggreko is a global leader in offering temporary power generation, temperature management systems, and energy services, ensuring that consumers have access to energy and power whenever they need it. Aggreko uses Azure Synapse to improve operating performance by providing specialist equipment just-in-time.

Since the ingestion (batch) jobs took four hours to run, Aggreko’s data ingestion pipeline was set to run every eight hours. Furthermore, due to storage restrictions, the data warehouse had to be rebuilt every day. There was an 8-24 hour gap between when the data arrived and when it was available for data analytics pipelines.

Aggreko is now significantly able to increase its time-to-insight by reducing ingestion complexities and increasing speed after implementing Azure Synapse. The time it took to eat the food was reduced from four hours to less than five minutes. As a result, Aggreko’s data is now available near real-time (less than five minutes lag) for analytics pipelines. The team also claimed that they saved 30-40% of their time, which was previously spent troubleshooting technology issues in their legacy systems. Data is now available for instant discovery thanks to Azure Synapse, giving the Aggreko team more time to concentrate on solving business problems.

Case two:

 

Fraud detection

 

ClearSale, a leading fraud detection company headquartered in Brazil, upgraded its operational analytics data platform with Azure Synapse. ClearSale uses big data analytics to identify fraud globally, assisting consumers in verifying an average of half a million transactions every day. Every two years, ClearSale’s dataset doubles in size, and the company needs to provide fraud detection services in seconds. This necessitates a high degree of scalability and performance.

ClearSale has shortened the time it takes to train new models to boost its fraud detection capabilities by using Azure Synapse. It took a week to ingest, plan, and train machine learning models on their previous on-premises platform. Now, it only takes under six hours, thanks to Microsoft Azure fraud detection. This is a major development that has increased its capability, performance, and reduced operating costs.

Fraud detection

Case three:

 

Predictive maintenance

 

The Digital Group of GE Aviation is a global leader in aeroplane engine manufacturing and software development. GE also offers sophisticated data processing to many airlines around the world, in addition to manufacturing. GE ingests the entire flight’s time-series data, which can include up to 350,000 data points for each flight. Running data analytics on such vast quantities of data is understandably difficult. The team used Azure Synapse to solve the problem.

GE found that using Azure Synapse made building complex predictive machine learning models much simpler and faster. Creating anything comparable in their previous method would have necessitated various complicated steps covering various structures and environments. The native integration between Microsoft Power BI and azure predictive maintenance was extremely beneficial to GE. They can now easily explore data, and when an anomaly is detected in Power BI reports, analysts can conduct drill-down analysis. It helps them to determine why the spikes occurred through predictive analytics. So, they can further manage the maintenance.

Microsoft Dynamics 365 sales & marketing

Case four:

 

360⁰ marketing analytics

 

Considered a major international retailer with locations in Australia, New Zealand, and Japan where all market products, electronics, and personal care items are distributed through the company’s physical stores and digital online platforms. The organization needs to use data analytics to create a complete picture of its customers. The aim is to enhance the customer experience while still growing income. The data team discovered that Azure Synapse was the best platform for accomplishing this.

The data team was able to bring together their data, developers, and business users in previously impossible ways. Azure Synapse has streamlined data ingestion and processing, enabling the business to provide a single data store that contains both operational and historical data and can be refreshed in near real-time.

Furthermore, data exploration and discovery is also simple. It eliminates the need to convert data from one format to another or transfer data to other systems. This has allowed the data team to experiment with, chart, and compare various datasets to create curated (gold) data that is ready to use.

Bottom Line

 

Azure Synapse provides an unlimited, centralized, and powerful analysis service that allows small and large companies to start up when required. Only when you need to pay for what you use. So, for azure synapse pricing, you can reach the DFSM team Today!



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