Enterprise Cloud Adoption for Data Analytics – The Story So Far

Especially for the past couple of years, the cloud has been playing a pivotal role in enterprise-wide Data Analytics-led digital transformation. Leveraging the cloud, organizations of all types and sizes have been able to unearth insights that were previously impossible. Data Analytics in the cloud has enabled them to scale their business, modernize existing Data Analytics applications, and more easily meet business goals.

But in the rush, many cloud implementations for Data Analytics have been done in an extremely haphazard manner and without a proper plan or roadmap in place. Read on as we talk about how the cloud has evolved in these past years – especially in the realm of Data Analytics – and what the future holds for those looking to go the cloud way.

Cloud Adoption Motivators Have Changed

Cloud technology has completely changed how organizations collect, analyze, and act on data, opening several doors in terms of workforce productivity, enterprise scalability, cost-effectiveness, and more. And while most organizations have adopted the technology which helps them make data-backed decisions over the years, the motivators for cloud adoption are constantly changing.

Let’s look at the key drivers for cloud adoption in 2022 and beyond

• Enable big data analytics: This is an age when data analytics is a top enterprise priority. Cloud is also playing an increasingly important role in helping enterprises scale big data analytics programs, make them more deep-rooted, and spread their applicability. From trend recognition to pattern identification – through constant analysis of growing volumes of data, the cloud is enabling organizations to enable better decision-making. This boosts business performance and lowers organizational costs and risks.
• Build cloud-native Data Products and Data apps: Cloud has played a massive role in application modernization, but today the technology offers immense potential for building cloud-native Data Products and Data apps from scratch. Instead of enabling legacy on-premise Data apps for cloud functioning, organizations are increasingly curating Data apps that are built and deployed in the cloud using a modern Data Analytics architecture for unmatched scalability, availability, and cost-effectiveness.
• Scale the hybrid model: As the hybrid model becomes a mainstay, the cloud is helping organizations establish and sustain a hybrid workforce. Not only does the cloud help in better employee communication and easier access to enterprise resources, but it also enables seamless scalability and adds the much-needed layer of cyber resiliency that is a priority for hybrid work.
• Support the demand for Data Analytics managed services: As organizations across sectors increasingly seek IT assistance to run their business, the cloud is helping meet the demand for Data Analytics managed services. Using the cloud, providers can offer an array of complex Data Analytics services across Data Analytics application support, reporting, helpdesk management, network support, product development, cybersecurity, and more. This empowers businesses to concentrate on their core without worrying about the underlying technology systems.

An Organized Approach to Cloud Adoption for Data Analytics Is the Need of the Hour

When cloud technology first came into corporate consciousness, most organizations were unsure of how to implement the technology. Early value propositions were couched in terms of the economy available from utilizing cloud storage instead of on-premise servers. But the benefits started adding up soon enough and a sense of FOMO (fear of missing out) took root.

Many businesses took the plunge without really having a robust plan or roadmap in place – just because this was the favored way of the thought leaders. This led to an extremely complex and tangled mess of ad-hoc systems, approaches, and tools. And this, in turn, is leading to management woes and impacting overall business efficiency.

Today, with the entire business world looking to become cloud-first to get the myriad benefits and scale their data analytics applications, an organized approach to cloud adoption for analytics has become the need of the hour.

Instead of just implementing a few cloud-based systems or migrating a handful of databases and workflows to the cloud for advanced analytics, it is time for organizations to address cloud adoption for analytics strategically and systematically. Engaging with an expert partner is critical to get some order to the chaos of cloud implementation, maintenance, and support as enterprise analytics initiatives scale.

Here’s how a qualified partner like Ellicium can help

Curate a Tailored Cloud Journey Roadmap for Data Analytics

An expert partner can study your existing in-house infrastructure to identify gaps, challenges, and opportunities. Based on your unique requirements, the partner can then provide a tailored cloud journey roadmap for Data Analytics, suggest the right architecture, list necessary infrastructure requirements, and recommend suitable cloud service platforms and providers to help you make the most out of your cloud investment.

Set Up the Right Cloud Infrastructure

Once a roadmap is in place, a qualified partner can help in setting up the right cloud infrastructure. Right from determining computing power to setting up the right networking and storage capabilities and planning the user interface for users to access virtualized resources – a partner can ensure you have the right foundation for meeting all your cloud goals.

Implement Optimal Solutions in the Cloud

Once the cloud infrastructure is set up, a partner can also help in implementing optimal solutions on the cloud. By combining the expertise of your in-house resources with their experienced professionals, a partner can kick start your cloud data engineering journey and build apps and platforms using the most appropriate services on the cloud.

Manage and Support Cloud Environments Post-deployment

In addition to determining necessary cloud components and procuring cloud services as per your current and future needs, a partner can also manage and support cloud environments post-deployment. A partner can further suggest steps for ensuring reliability and performance continuously – so you can get maximum returns from your cloud investment.

What the Future of the Data Analytics on Cloud Looks Like

With the cloud computing market projected to be worth $68.5 billion by 2025, the future of the cloud looks extremely bright. But this widespread shift to the cloud for data analytics, especially with data volumes ballooning, also brings about its own set of challenges, ranging from data security and compliance issues, high costs, poor architecture planning, skills gap, and more. Rapid acceleration to the cloud, without sufficient forethought, further adds to the overall complexity of successful implementation and long-term sustainability.

If you want to enable unmatched analytics and achieve your business goals by utilizing various cloud technologies, you need to engage with a team of skilled cloud architects, administrators, and engineers. Having a qualified partner on board can enable access to the latest and most relevant skill sets, efficiently manage and support your cloud environment, implement required security and compliance controls, and ensure seamless flexibility and scalability.

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