what is an advantage of using a fully-integrated cloud-based data analytics platform

What Are The Advantages of Using a Fully-integrated Cloud-based Data Analytics Platform?

Summary: A fully-integrated cloud-based Data Analytics platform offers numerous advantages, such as real-time data processing, seamless integration from various sources, and customizable dashboards. These platforms enhance collaboration, provide predictive analytics, and are cost-effective, allowing businesses to scale efficiently. This integration empowers organizations to make informed decisions and drive growth effectively.

Introduction

We live in a data-driven world and generate data at a breakneck pace. The primary focus of every organisation across the industry spectrums is to harness the power of data. Here comes the role of a cloud-based Data Analytics platform.

These cloud-based platforms empower businesses to work on bulk data and process it efficiently. However, not all analytics platforms are the same. As a company, if you are willing to gain a competitive edge in the market, it becomes significant to focus on leveraging the benefits of a fully integrated cloud-based platform.  

This type of platform enables businesses to seamlessly integrate data from various sources. At the same time, it also ensures the analysis of data in real-time. Thus, providing a comprehensive overview of the operations.

In the next few segments of this blog, we will be unfolding the details of the advantages of cloud-based Data Analytics platforms, and their different types.

Understanding What is a Fully Integrated Cloud-based Data Analytics Platform?

To define it in simple terms, a fully integrated cloud-based Data Analytics platform is a software solution that allows storage, processing and analysis of large volumes of data using Cloud Computing.

These platforms are capable of analysing data swiftly irrespective of its size. Hence, such platforms ensure seamless Data Processing and analysis without any time lag or faults. Thus, enabling quick and accurate interpretation.

It can help organisations make informed decisions, identify patterns and trends, and improve their operations

Types of Cloud Analytics

In a broader spectrum, cloud analytics includes all the analytical techniques utilised for Data Analysis. Again, we cannot use just any analytics platform for every business type. Based on the user specifications, businesses can choose from any of the four types of cloud analytics:

Analytics in the Public Cloud

Organisations with limited resources and looking for a robust solution can opt for analytics on the public cloud. Moreover, it works seamlessly with advanced technologies like AI and ML. Example: AWS public cloud.

Analytics in the Private Cloud

Companies looking for a more secure solution can consider analytics in the private cloud. Meta, Target and others that actively handle large volumes of data use this platform. Since these companies are dealing with public data that need to be confidential, analytics in the private cloud suffices this requirement.  

Analytics in the Hybrid Cloud

The hybrid clouds draw the benefits of both private and public cloud. It can analyse all the data with specialised tools. Moreover, remote software and hardware ensure secure connectivity and information sharing. Companies that trust hybrid cloud include names like Walmart and Apple.

Analytics in the Edge Cloud

It analyses the data in real-time. Thus, enabling quick and prompt decisions. This is a particular benefit when it comes to handheld devices like mobile. Companies like VMware and Dell Technologies use this technology.

Elevate Your Business Operations with a Fully-Integrated Cloud-Based Data Analytics Platform

Elevate Your Business Operations with a Fully-Integrated Cloud-Based Data Analytics Platform

Integration of such platforms with businesses also brings with it several other benefits. These are highlighted below:

Real-Time Processing and Analysis of Data

This platform allows the business to assess and analyse the data in real-time. Moreover, platforms can handle bulk data and accurately assess it. This information becomes highly useful for companies. Thus, helping them gain a competitive edge in the market.

Ease of Integration

As mentioned above, fully integrated cloud-based analytics platforms are easy to integrate. It can assess data from different sources like CRM and ERP, social media platforms and webinars. This makes it easier for the company to have a one-stop solution for all the Data Analysis.

In addition, it also provides a comprehensive overview of the operations, thereby enabling better decision-making.

Customisable Dashboards

Ease of customisation is helpful for any business. It helps them to tailor their Data Analysis, thereby focusing it on a specific task. Thus, making it easier for businesses to identify trends and patterns, helping them make more accurate and precise decisions.

Cost-Effectiveness and Scalability

A fully integrated cloud-based analytics platform is also a cost-effective solution. Unlike conventional methods, cloud-based platforms do not require infrastructural costs.

Moreover, it can be easily scaled up or down as per the requirement of the business. Thus, making it provide a highly customised solution for other companies.

Assurance of Data Security

The additional feature that the cloud-based platform offers is enhanced security. These platforms are laced with high-end security features, encryption, firewall, and multifactor authentication. Eventually, it ensures complete Data Security.

Most of these platforms also come with easy recovery features that make it easier for the organization to recover if there is any loss of data.

Key Insights

From the above discussion, we can conclude that the advantages of cloud-based analytics platforms overshadow traditional formats. Hence businesses are now transitioning into this mode. 

Implementing the fully integrated cloud-based analytics platform brings with it several advantages like reliability, scalability and cost-effectiveness. Moreover, it makes it easier for you to access the data at any point in time. 

Additionally, there are no infrastructural costs associated with it, thus making it a highly profitable and efficient option for businesses.

Conclusion

In conclusion, a fully-integrated cloud-based data analytics platform offers numerous advantages that can significantly enhance a business’s operations and decision-making capabilities. 

By unifying data from various sources into a centralized repository, these platforms provide a comprehensive view of an organization’s performance and customer behavior. The ability to process and analyze data in real-time enables businesses to make informed decisions quickly, giving them a competitive edge in the market.

Moreover, the cost-effectiveness and scalability of cloud-based solutions make them accessible to businesses of all sizes. 

Customisable dashboards and visualisations make it easier to identify trends and patterns, while predictive analytics and machine learning capabilities help forecast future outcomes more accurately. 

The increased collaboration and global access facilitated by these platforms further enhance an organization’s agility and resilience in today’s fast-paced business landscape.

Ultimately, embracing a fully-integrated cloud-based data analytics platform is a strategic investment that can unlock valuable insights, drive innovation, and propel businesses towards sustained growth and success in the digital age.

Frequently Asked Questions

Why Is Data-Driven Analytics of Interest to Companies?

There are several reasons that make Data Analytics  platforms useful for organisations. Here are a few of the benefits:

  •   Informed decisions by providing insights into their business operations.
  •   Helps in identifying areas where a company can improve their business operations
  •   Assists in gaining a competitive edge
  •   Improve their customer experience
  •   Allows the companies to measure the effectiveness of their marketing campaigns

Why Are Data Silos Problematic?

Data is the most important asset for any organisation. And so, losing the data can create problems as it hinders the process of collecting valuable insights. Thus, it blocks the comprehensive overview of the company’s data.

What Should a Company Do to Develop a Better Data Culture?

We all know the significance of data and its relevance in the present scenario. Today every company is working arduously to gain an edge in the market. While there are several ways to ensure the same, staying ahead of the competition and luring the customer are pivotal.

With better data culture, companies can guarantee the security of consumers’ data, provide services, and create strategies that are in the interest of the consumers.

Authors

  • Ayush Pareek

    Written by:

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    I am a programmer, who loves all things code. I have been writing about data science and other allied disciplines like machine learning and artificial intelligence ever since June 2021. You can check out my articles at pickl.ai/blog/author/ayushpareek/ I have been doing my undergrad in engineering at Jadavpur University since 2019. When not debugging issues, I can be found reading articles online that concern history, languages, and economics, among other topics. I can be reached on LinkedIn and via my email.