The rise of Big Data is compelling businesses to do things differently. Transferring data to the cloud has become a primary focus, accelerated by pandemic-led challenges and the need to modernize data platforms. In 2020, 61% of businesses migrated their workloads to the cloud, with the expectation this would increase to 75% in 2021.
The benefits of data in the cloud are rapidly outweighing legacy systems. With data feeding in from multiple sources and platforms, businesses need to find a better and faster way to access, analyze and visualize the vast quantities of data coming their way.
Without embracing the latest analytics technology, they could struggle to keep pace with business demands, and the value of their data will rapidly diminish. However, by investing in cloud solutions, businesses can gain better control over their data and improve their user base engagement.
Martin Mahler, CEO of Vizlib – the creators of Astrato, explains the potential benefits of playing the data where it lives.
Eliminate the need to copy data to reduce costs
In the past data warehouses were particularly slow and nowhere near fast enough to meet the needs of Business Intelligence (BI) tools. Data had to be copied from the data warehouse to the BI tool for users to complete any modelling or resolve any business challenges. But this has all changed.
Analytics technology has caught up! And data warehouses are now as fast as any BI tool. The data can stay where it is located, without users copying it to another business system. The benefits of less data movement include enhanced data quality, boosting your competitive advantage, reducing costs, and improving decision-making business-wide. In other words, not something business leaders can easily ignore!
Visualize data at its source for greater accuracy
Advanced analytics that enables users to visualize, report and utilize their data is essential for any business. But being able to do this while the data remains at its source takes BI to a whole new level – keeping the data dynamic and optimizing its value.
When data is replicated or imported, you risk losing the timeliness of the data and ultimately reducing the value it offers in supporting business decisions. Plus, every time you move data from one source to another, you lose the original connection, making the data more vulnerable to inaccuracies.
So, if you work with the data at its source in the cloud and can trace it back to its root, you significantly improve the ability of the business to make informed, reliable data decisions. Imagine clicking a button and pinpointing the exact location of the data with a query ID within a dataset of millions of rows? Accessing such secure and trusted data is a game-changer!
Improved collaboration and interactivity with writeback
It’s one thing being able to view your data but being able to write, comment, and edit your data in real-time takes your BI up a gear. This level of interactivity automatically keeps your data up-to-date and eliminates errors as any changes are written back to the source.
With writeback capabilities, you can improve collaboration across the organization so the right teams can take the right actions while improving visibility and supporting smarter decisions company-wide.
Improve the user experience and drive cloud adoption
Having access to data is pivotal, but when accessibility extends to all data users, it can hugely impact a business. Easy-to-use functionality, templates, and fully customizable features help users that are early in their data literacy journey get started quickly – without the need for any help from a developer or IT.
Cloud analytics that provides a familiar look and feel for users and includes an intuitive user experience, or user-centric features, drives user adoption of cloud data and analytics.
With global cloud investment set to hit $76 billion in 2021 and $390 billion by 2028, businesses need to have a clear plan to maximize this investment and optimize the ability to access, analyze and visualize their valuable datasets. Businesses should be able to retain the value of their data, optimizing relevancy through live-queries directly in the cloud, and enable collaboration across the organization.
Playing with the data where it lives removes the complexity of managing and analyzing big data in the cloud and helps the business take the right actions faster!