Airtel Business Insights

Five ways to accelerate cloud-driven data strategy across sectors

Nov 1, 2021 I Blog

Airtel Business – Cloud Solutions

Five ways to accelerate cloud-driven data strategy across sectors

In today’s internet-enabled and technology-driven world, cloud computing offers almost instantaneous and ubiquitous access to data, allowing businesses to modernise data platforms and achieve greater flexibility, scalability, transparency and control over their operations. These game-changing capabilities hold immense potential to help you optimise your data strategies. However, their benefits tend to be short-lived if not effectively managed. Here are some essential practices that should not be overlooked if you want to accelerate a cloud-driven, holistic data strategy:

Focus on streamlining a data repository in the cloud

While having workloads on the cloud offers you the ability to automate collaborative research, you can only truly reap its benefits if you have a searchable and discoverable data repository in place. Tailoring your cloud migration process to make your data findable, accessible, indexed, and reusable is the key to redesigning research, developing your database and implementing improved strategies. You thus need to build flexible data management architecture that can support the changing volumes of diverse data streaming into your organisation.

Build a culture of data sharing

Digital transformation is driven by data. Having heaps of data is however of not much use unless it is made available across your organisation to guide strategies. By providing easy access to data, businesses can better serve their customers, make informed decisions and operate more efficiently. This can be achieved by investing in cloud platforms for data collection and management. A holistic data-sharing infrastructure, however, is necessary to optimise these investments. Thus, you have privacy protections in place that promote data sharing across your organisation.

Prioritize data privacy

Without ably safeguarding your data from internal and external cyberattacks, you cannot accelerate your cloud-driven data strategy. It is important for you to understand that while cloud-based data access enables collaboration and offers a plethora of benefits, it also increases the risk of cyberattacks and data breaches. Now that pandemic-induced remote working models are here to stay, the need to have a robust security infrastructure has gained more prominence. Thus, your cloud platforms should be designed with the appropriate governance, compliance and security controls that can mitigate cyber risks as well as promote data-sharing, trust-building and network integrity maintenance.

Identify the right cloud model

There are three commonly available cloud deployment models:

Private cloud

In this deployment model, you have dedicated access to the cloud computing resources. Private cloud may be deployed as on-premises or hosted by the cloud provider but is always operated on your private network, giving you total control of your data and applications. That said, the cost of infrastructure maintenance falls squarely upon you.

Public cloud

Public cloud infrastructure is entirely owned and managed by a third-party cloud provider and can be accessed over the internet as per your subscription. In this model, your data and applications securely share hardware and storage with other subscribers. On the other hand, you’re relieved of maintaining and scaling the infrastructure as your requirement changes.

Hybrid cloud

As the name indicates, hybrid cloud model is a combination of private cloud and public cloud. It offers the privacy and control of private cloud along with the flexibility and scalability of public cloud. Enterprises are increasingly opting for hybrid cloud to maintain regulatory compliance without affecting user/customer convenience.

That said, which deployment model is the best for you depends on your business objective, resource pool and budget. By evaluating these cloud models against your requirements, you’ll be able to make the right selection. Else, of course, you can consult a third-party domain expert for the best solution.

Leverage cloud services for automation, analytics and machine learning

Cloud services are the best means of developing automated processes, analysing data and applying ML to uncover key insights. Focus on identifying how these advanced cloud-native AI and ML services can be leveraged to enhance your organisation’s data ecosystem. This can help you enjoy many untapped benefits


In your pursuit of building a data-driven enterprise within a digital ecosystem, cloud-enabled data strategies play a critical role. Using cloud computing as the digital core is likely to be one of the most efficient and cost-effective ways to support secure collaboration and develop innovative solutions for the future. However, implementing cloud-driven data strategies involve numerous touchpoints, which makes the process susceptible to errors. Partnering with a reliable cloud services provider, with proven expertise in cybersecurity and best practices from diverse sources, is one of the best ways of making this easier and more productive for you. So, reimagine your business and make the cloud your pathway to infinite business possibilities.

To know how Airtel solves the requirement of Cloud solutions

Airtel Business is India’s leading provider of ICT services with a global network across the USA, Europe, Africa, Middle East, Asia-Pacific, India and SAARC regions, serving over 1200 global enterprises, 2000 large and 1 million medium/small businesses across India.

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