Cloud analytics is a technology that has exploded in popularity over the past few years. With data storage and retrieval becoming more affordable, companies are starting to see the benefits of cloud analytics as it can save time and money.
Companies can quickly provision and deprovision services as needed while focusing on key business priorities and have the benefit of being able to access that data from anywhere by utilising tools such as the Gyana solution.
In this post, we will explore how cloud analytics can make your business run better, faster, and cheaper.
What is Cloud Analytics
Cloud analytics is an analytics and service model specialising in handling business intelligence and data analytics in the remote cloud network.
It helps businesses use prescriptive and predictive models, machine learning, and AI algorithms to derive actionable insights from structured and unstructured data from multiple sources through storing and processing them in the cloud server.
Types of Cloud Analytics
Cloud analytics allows data scientists to analyse and interpret data on-demand in cloud servers and eliminate the requirement for an expensive on-premises solution.
While deploying this service, you have a handful of options:
- Public Cloud: In this process, you share the cloud server with other companies for data storage and analysis. The provider ensures your sensitive business data is secured from unethical access. If you want a scalable service for managing big data workloads and storing an extensive amount of data sets while keeping the expenses down, the public cloud can be the most viable option.
- Private Cloud: Usually within a user’s firewall, private clouds are a proprietary cloud environment solely dedicated to an individual organisation. It is an on-demand deployment model where the cloud infrastructure is hosted privately at your company’s data center or by a third-party service provider. Though a bit costly, it is an excellent and more secure big data analytics option for companies like banks, healthcare services, etc., that deal with sensitive data.
- Hybrid Cloud: If you want a more flexible deployment option for storing sensitive data on the private cloud and use a public cloud server for the rest, a hybrid cloud system is the best choice.
Benefits of Cloud Analytics
Cloud analytics has become an indispensable part of organisations of all sizes for its flexibility and agile data handling process.
Some surpassing benefits of cloud analytics are:
Cloud analytics Scales
Cloud-based analytics is highly scalable as it would only charge you for the services you use.
In an on-premises analytics system, you have to implement new hardware or spend on upgrading your existing infrastructure as your business expands. But in cloud analytics, you can effortlessly get additional computing resources and storage facilities upon request.
So, during busy times, you get a more scalable service while paying less during slow seasons.
Seamless Team Collaboration
One of the most compelling benefits of cloud analytics is it offers you a single and centralised platform to drive innovation through seamless team collaboration. So, your company can monitor the analytical projects run by different departments and collaborate to evaluate and verify the quality of the processes.
Moreover, with cloud analytics, you can ensure your team gets the latest data from all sources in one place and incorporate them into the workflows. Thus, it eliminates the necessity to employ various third-party software for data collection.
Additionally, with the role-based access control, sharing results and reportings among users with cloud-based data science tools has become easier than ever before!
Better Data Security
With the evolving technology, data protection and privacy risks are rising within the business framework of many companies. If you have an in-house data analytics environment, you must hire highly knowledgeable data security experts to check for data breaches.
But in cloud analytics, your service provider is responsible for ensuring top-notch data protection. They have a dedicated team for monitoring your network, assessing security services, and employing proper protective measures to keep your system secured from fraudsters.
Some security measures cloud services ensure:
- Automatic threat detection across the dynamic cloud environment
- SSO (Single sign-on) for identity and access control
- Automatic system check over threat detection
- Multi-factor authentication for verifying user access
- Automatic file scanning to check malware-spreading through the service ecosystem
- Wraps your system with layers of protection like runtime application self-protection (RASP), TLS/SSL encryption, Web Application Firewall (WAF), and more!
Thus, they can detect data breaches in no time and block them. Moreover, to ensure cutting-edge security, your system infrastructure is continuously updated with the latest patches.
So, to protect your business data, switching to a cloud analytics service is a cost-effective and better choice.
More Efficient Data Analytics
With cloud computing analytics, you get 10x faster processing power compared to an on-premises environment.
Now, you don’t have to break your bank for setting up company-dedicated data centers and expensive hardware to build a sophisticated on-premises data analytics infrastructure.
Now, you can avail of the power of SaaS analytics for more efficient data processing spending far less than an on-premises setup.
Ad-hoc Deployment of Resources for Better Performance
Unlike an in-house analytics service, in the cloud system, you don’t have to worry about the following:
- Latency for poor public internet
- Upgrading your machines and systems
- Advanced BI service
- Prompt response when any issue arises
- Efficient data warehouse.
Your service provider will ensure synchronising these services for efficient data analytics and making your business website load faster, reducing latency.
Higher ROI on Time Investments
Cloud systems facilitate big data analysis with data models, application servers, prompt and real-time reporting, interactive visualisation, uploads, top-notch analytics solutions, and more!
Let’s get insight into how cloud analytics improves your Return on Investment with an example:
- With no spending on physical infrastructure, your marketing department can predict and create better marketing plans, generate prompt reports on the leads and campaign success for smooth follow-up by the sales team.
- As your strategy team can have more precise and real-time customer data from the marketing and sales department, they can forecast future trends and make data-driven decisions.
- Well-synchronisation among your business teams means more systematic plan execution, which, in return, enhances your ROI.