Why Getting to The Cloud Is Just the Start

Getting to Google Cloud Platform is just the start

Cloud adoption is growing rapidly, and while many organizations are already utilizing some form of cloud-based offerings, like Google Cloud Platform, getting to the cloud is just the beginning. In a recent study, Gartner estimated that end-user spending on public cloud services will reach $396 billion in 2021 and grow 21.7% to reach $482 billion in 2022.

Cloud adoption and migration aren’t new concepts. In the wake of the Covid-19 pandemic, many businesses have had to change their entire strategies in order to stay competitive and focused on goals. That meant journeying to the cloud at an accelerated rate for many.

With the onset of so many digital transformations, however, organizations that have adopted cloud-based solutions and technologies need to recognize that getting to the cloud is just the start.

Tempering Expectations and Strategizing Clearly

Many cloud data platforms are quick to showcase the potential value of taking advantage of the cloud. Yet without a clear and sound business strategy and an investment in cloud-based solutions, many enterprises won’t be able to reap the full benefits of the cloud. Even with some simple and less complex workloads migrated, not achieving the results originally expected can hamper other strengths that the cloud provides.

There is no one-size-fits-all approach to cloud adoption or migration. Every organization is different, each with its own set of goals and objectives. With that in mind, getting to the cloud is just the beginning of unlocking the true benefits of digital transformation

Cloud Data Platform

Getting to the cloud may be difficult for many, as there are numerous solutions and technologies to consider. And even after beginning a digital transformation in the cloud, organizations can become lost and struggle to achieve tangible data-driven results. In fact, 68% of organizations report that they are still unable to realize tangible and measurable value from data.

A cloud data platform is key to unlocking an organization’s true journey to the cloud. There are many technologies in the market which provide tactical solutions that may feel comfortable and familiar. However, this can be a rather short-term approach that simply lifts and shifts a siloed solution into the cloud.

For example, a cloud data platform like Google Cloud Platform eliminates issues like complex and fragmented data with data sprawled across databases, data lakes, data warehouses, and data marts, in multiple clouds and on-premises. Instead, organizations are able to take advantage of a data platform that maximizes value from data with a flexible, open, and multi-cloud platform.

Choosing a data cloud partner is one of the most important decisions organizations will make to have a competitive edge in this fast-changing landscape. And with such a robust cloud data platform like Google Cloud Platform, the possibilities are endless.

Business Intelligence and Analytics

Once an organization begins its journey to the cloud, it shouldn’t just stop at unifying data silos. Instead, how can the data be utilized to improve their ability to understand and use this data as one of their most important assets? That’s where Business Intelligence (BI) and analytics platforms can help.

Companies need data experiences that deliver trusted, timely and actionable insights to every person and workflow. Being data-driven means using data as a competitive differentiator and value generator.

Looker is Google Cloud Platform’s modern BI solution that enables organizations to truly get value from collected data. The need for a powerful and flexible BI platform is key to supplying employees, customers, products, and services with timely and trusted data to power experiences tailored for every part of the business.

Artificial Intelligence and Machine Learning

Artificial intelligence (AI) refers to computing systems that have the ability to reason and make classifications and decisions. Basically, it can take the place of human intelligence. Machine learning (ML) is one of the many branches of AI. It’s a way to build systems that improve themselves over time, which organizations can utilize in multiple ways.

According to McKinsey, AI could potentially deliver an additional economic output of around $13 trillion by 2030. While companies are taking advantage of getting to the cloud, there is still untapped potential regarding AI/ML. 

Some cloud data platforms, like Google Cloud, have AI and ML capabilities already built into the platform. In fact, Google Cloud’s Vertex AI assists users to build, deploy, and scale ML models faster, with pre-trained and custom tooling within a unified artificial intelligence platform. 

The ability to automate business processes and accelerate data science initiatives to become a truly data-driven organization is now a reality. The benefits of AI and ML cannot be overstated and is just another example of why getting to the cloud is just the start.

Google Cloud Platform is Just the Start

The “what’s possible” of data and analytics continues to grow with each passing day. While many organizations are turning to cloud computing and modern data platforms, recognizing the true value of the cloud has just started for most of them.

As a Google Cloud Premier Partner, Pandera enables organizations to actually derive value for customers through clear planning. strategy, and execution. In today’s market, relying solely on simple workflow modernization or cloud migration won’t provide the competitive edge that organizations are looking for. That’s why we work hand-in-hand with businesses to help them achieve their business goals through data and analytics.

Thankfully, Pandera’s expertise and technical proficiency in leveraging the Google Cloud Platform to deliver ample solutions in areas like cloud data platforms, BI, and AI is second-to-none. Enable your data to work for better data-driven organizations and unlock key insights with our help. Please contact us today to find out why the cloud is just the start!

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