Cloud Hosting

By Amit Gupta

In our daily life, the number of the devices connected via IoT is rapidly increasing. Businesses today rely greatly on cloud data analytics to tackle the challenge of keeping up with the current pace of data being generated, used, and stored. Cloud data analytics comes as an effective solution to make better decisions for businesses by tracking data patterns and eliminating the need for assumptions. As per recent study by Statista, by 2030 about 50 million IoT-connected devices will be used across the world, generating huge chunks of data. Majority of this data will be store and analyzed on cloud.

Cloud offers access to various services like servers, data analytics, AI, and more. Cloud data analytics helps attract new customers as well as recognize patterns in data enabling businesses to serve their existing customers better making the whole process cost-effective.

Cloud computing came as lifesaver to help organizations tackle the hassle of physical servers.

Cloud computing consists of a set of hardware and software that can be accessed remotely through any web browser. It allows you to access data from any web browser as opposed to being restricted to a particular hard drive. When you apply the principle of analytics to the data in the cloud drives, it is termed cloud-based analytics.

Cloud analytics stores, processes and analyses business data using cloud technologies. A hybrid cloud analytical model, used by some organizations allows some functions to be performed only in cloud-hosted environments, while others are performed on-premises servers. However, most organizations are moving to the cloud entirely as they decide to up their analytics program.

Capabilities Of the CloudThe Cloud removes the need for the organization to manage their traffic as it comes with readymade infrastructure. It lets organizations bring changes by increasing or decreasing cloud storage depending on whether the business is scaling up or down. This makes it more suitable as it cuts the cost of installing new hardware and enables businesses to quickly respond to market demands ensuring they make customers happy by meeting their requirements on time.

Put simply, cloud analytics gives way to a more flexible budget as compared to in-house analytics solutions by eliminating the need for hardware, equipment, data centers or regular upgradation. More and more organizations are now benefiting from enhanced data quality by combining data analytics with machine learning technologies. They are heavily investing in developing cloud capabilities so as to gain maximum benefits. With the right tackling of Cloud & Data by skilled cloud professionals, the cloud can play a significant role in improving the performance of organizations and provide greater insights through detailed data analytics.

Creating value with CloudHeres top benefits that organizations have found to be useful by embracing cloud for data analytics & machine learning:Track better insights

Cloud analytics makes it possible to record and process data simultaneously irrespective of the location of local servers. It allows companies to track crucial insights like sales of an item from a specific location thus helping them to adjust their productions accordingly. Collecting and analyzing data, helps understand customers' behavior. Cloud thus provides the right insights companies to make better decisions and function more effectively.

Scalability:Scaling analytics becomes easier with the cloud as it allows companies to add storage depending on the changes in the organizations. Having data analytics in place synced with Cloud, allows organizations to be more responsive to new demands of the business and adjust rapidly to meet customer requirements and make the most of the opportunities as they open up.

Social Media:Processing activities across different social media platforms isn't an easy task. With cloud storage, however, social media site data can be analyzed simultaneously, allowing for faster quantification of results and a more targeted approach. The time to analyze the data insights gathered from different platforms becomes easier when integrated with Cloud which can throw light on the areas of improvement for the business to flourish as well as know the performance of the business on each platform in a detailed manner in real-time.

Governance & Security:Cloud offers superior control & security to its users. Over 50% of companies prefer to store their confidential data in the cloud. The main reason being the data stored in Cloud is encrypted thus preventing access to the hackers. Data analytics via Cloud offers better auditing capabilities, gives better control on the access, and acts as single source of truth in understanding the data of an organization. Cloud storage of analytics thus becomes useful also during times of emergencies or other natural disasters since data is safeguarded well.

Collaboration & Easy Access:With cloud analytics, different individuals can work together through file-sharing applications. This collaboration proves beneficial, especially for global organizations with employees operating across different regions. The changes made can be seen in real-time cutting down on the turnaround time between teams and makes collaboration easy.

Cost Savings:One of the advantages of cloud computing services is that they don't need hardware, data centers, or equipment which makes them highly cost-efficient. Organizations can easily scale up or down their cloud server usage and pay based on the changes in the ML or data science workload. Cloud allows organization to follow a subscription based model which enables businesses to have a more flexible budget planning as per the demands.

The FutureTaking all the cloud capabilities as well as the potential risks that come with it into consideration, organizations are increasingly choosing cloud for its many benefits with data being one of the most important deciding factors. The goal is to ensure that data can be successfully processed and analyzed faster with the help of cloud experts.

The enormous possibilities of the cloud combined with the security, reliability and affordability factors predict an expansion of data analytics use in the cloud. For a business to achieve peak performance, Cloud & data insights provided through them will become more crucial than ever before. Cloud is now touted as a necessity rather than a luxury for businesses to thrive.

The author is the Founder and CEO at Rapyder Cloud Solutions

Disclaimer: The views expressed are sole of the author and ETCIO.com does not necessarily subscribe to it. ETCIO.com shall not be responsible for any damage caused to any person/organization directly or indirectly.

Read the original:

Here's how cloud computing will drive future of data analytics - ETCIO