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The Importance of Choosing the Right Big Data Use Cases

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The Importance of Choosing the Right Big Data Use Cases


One of the most stressful jobs for analysts is identifying and choosing the right use case for big data as it has the potential to drive high-level business value.

The pace at which digital data is increasing is unbelievable. It is expected that, by 2022, data generated for every human will amount to 2.5 megabytes approximately. In the realm of digitization, industries worldwide are actively collecting tons and tons of data from various sources with the aim to deliver the best product to their customers. But analyzing and managing big data manually is practically impossible. Here’s where the picture of big data analytics comes in. The primary purpose of big data analytics is to identify hidden patterns and correlations, to extract value in an otherwise ordinary looking data. Big data analytics help companies create new opportunities and improve their existing business workflows altogether. This, in turn, help companies to conduct their business better, thereby meeting their organizational goals with high efficiency and accuracy. But, the first and foremost step after the collection of big data is choosing the right use case that can showcase its power.

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Why Choosing the Right Use Case for Big Data is Important?

From manufacturing to retail to travel, every industry collects a large volume of digital assets with the aim to enhance their efficiency. With the help of big data analytics, industries can analyze and provide meaning to the gathered data, which can then help shape business decisions. Big data helps analyze market opportunities and also understand customer behavioral patterns and other critics to business parameters.

However, without the right use case, how will you leverage data analytics? Out of the vast amounts of data gathered, it is difficult for analysts and other business leaders to identify the right business use case for their business. But once the use cases have been identified, an organization can then bring life to the data, thereby boosting organizational growth, accuracy, productivity, and efficiency. Therefore, the first step towards getting the desired business outcomes is identifying the right big data use cases.

Which Approach Should Analysts Follow?

Here are few steps that business analysts and leaders should follow in order to choose the right business use case:

  • Understanding the business objectives before identifying the business use cases
  • Listing down all the business use case categories by predicting and the respective business outcomes
  • Identifying big data use case from the listed categories
  • Expanding the team of IT experts to better identify the use cases
  • Keeping a regular check for new business use cases from the data that pours in real-time

By now you know that the bridge that connects digital data and advanced technologies is a business use case. Hence, with a team of highly-skilled professionals and analysts, you should identify the right use cases by following the approach mentioned above, thereby breaking the data silos for enhanced business outcomes. 



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TECHNOLOGY

Snowflake becomes available in UK on Microsoft Azure

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Cloud Computing News


Snowflake, a data cloud company, has announced Snowflake’s general availability on Microsoft Azure in the UK, driven by high customer demand for local data residency from both the private and public sector in the UK.

Snowflake enables institutions across multiple industries to deploy data and analytical workloads to suit their business-critical needs. With true multi-cloud availability across three major public clouds, organisations can deploy Snowflake’s unique data capabilities with region-to-region and cross-cloud data replication for workloads, across their chosen cloud service providers. Multi-cloud deployment supports firms’ ability to manage operational resilience requirements to meet ever-changing regulations.

Snowflake is supporting local organisations with their data localisation implementations, including organisations across a wide range of industries, such as financial services and the public sector. For such organisations, a Data Cloud located in the UK can facilitate compliance with laws and regulations linked to handling sensitive customer data. This new deployment will enable businesses using Snowflake to keep their data in the UK, while at the same time taking advantage of the flexibility and scalability of Snowflake Data Cloud.

Julien Alteirac, area VP UK&I, Snowflake, said: “This Microsoft Azure deployment further highlights Snowflake’s commitment to helping businesses in the UK take full advantage of cloud technology while also enjoying data residency.

“Snowflake customers in the UK can keep their data in the country, and at the same time benefit from the flexibility of multi-cloud to drive innovation and adaptability for their organisations. This deployment is a further representation of our ongoing commitment to data innovators in the UK.”

Orla McGrath, global partner solutions lead, Microsoft UK, said: “This launch further demonstrates our commitment to meeting our customers’ most stringent requirements, working hand in hand with our key partners.

“By ensuring availability of the Snowflake Data Cloud in our UK data centres, customers and partners across a wide range of industries can be better prepared to meet local data residency requirements, whilst leveraging the tools they need to accelerate their own data and AI strategies.”

Customers using Snowflake’s Data Cloud can discover and securely share data, as well as execute diverse analytic workloads. The platform is a cloud-native powerhouse of business intelligence capabilities, including applications, cybersecurity, collaboration, data warehousing, data lake, data engineering, data science & ML, and unistore. Snowflake uses an innovative, per-second pricing model, enabling customers’ access to almost limitless capacity while only paying for the resources they consume.

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