The benefits of accelerated analytics for organisations

30th November 2021 by Alex Harper

Thanks to a complete rethink of how computer hardware is used, Accelerated Analytics has an almost limitless potential for processing and visualising vast amounts of data in real-time. Being able to understand and identify the value in large datasets is key – and legacy CPU-based systems just can’t compete. Regardless of volume, data by itself typically isn’t very useful. To have value, it requires converting into insights – that’s where Brytlyt can help.

Our analytics visualisation workbench means our clients can generate smarter intelligence at incredible speed. This information can be processed in many ways. Reports and summaries are good, but interactive dashboards that give users the power to make decisions in real time deliver the agility required to be leagues ahead of the competition.

Accelerated GPUs vs Legacy CPUs for Analytics

While a CPU handles the core functions of a computer, a GPU acts as a specialised microprocessor with the ability to take over when intensive computations are required.

CPUs (Central Processing Units) are highly versatile and good at handling multiple tasks, however GPUs are typically far more powerful and can handle a few specific tasks incredibly well – making them perfect for taking on repetitive and specialised computing tasks with incredible accuracy and speed.

GPU-accelerated systems are also inherently well suited to provide interactive visualisation in real-time for enormous datasets.
Businesses across multiple industries are unlocking the potential of their analytics by updating their technology to take advantage of the vast amount of data available. The modern processing technologies that Brytlyt offer gives a far greater data insight and level of performance than what archaic legacy systems can ever offer.

How does Accelerated Analytics work?

GPU-accelerated computing functions by assigning parts of an application to the GPU, as opposed to using traditional architecture, which uses CPUs that are much slower and requires significantly more hardware. Older CPU-based systems also rely on a level of manual processes by users and data scientists, like downsampling and indexing.

In contrast, GPU-accelerated analytics takes entire datasets into the system, enabling users to instantly interactively visualise, query, and power data workflows over billions of lines of data.

What and who uses Accelerated Analytics?

Our systems speed up tasks that are process-intensive across a range of sectors, including (although not limited to) insurtech, fintech, telecommunications, medicines, research and beyond.

The potential for our systems is virtually limitless for a variety of ‘Big Data’ applications, including:

  • Data analytics

Data analytics focuses on the discovery, interpretation, and relay of trends, patterns and general insights in data.

  • Data Science

Data science involves a range of methods, processes and algorithms for advanced data analysis – extracting insights from a mix of both structured and unstructured data, with the ability to inform decision-making processes to business leaders from these actionable insights.

  • Visualisation

Data visualisation software turns data and metrics into charts and graphs to help companies track business metrics and KPIs in real time, in order to better understand performance and goals.

  • Machine Learning

Machine learning is a branch of AI based on the premise that systems can learn from data, identify patterns and make decisions without typically requiring human intervention.

  • Deep Learning

Deep Learning, a subclass of Machine Learning (ML) and Artificial Intelligence (AI) that imitates the way humans gain knowledge, using neural network algorithms to duplicate human thought processes or intelligence for decision-making.

  • Business Intelligence analytics

Business intelligence uses technology to turn data into something actionable, by giving insight and direction to pivotal business decisions. It empowers organisations to identify trends, patterns, opportunities and weaknesses. The more an enterprise can understand where it is now, the better it can plan for where it wants to be.

  • Location intelligence solutions

Location intelligence solutions provide location analytics to show the relationship and context between certain objects, based on their physical locations.

Crucially, GPU-accelerated analytics also has the ability to deliver a truly interactive and dynamic real-time analytics experience.

The Future of Accelerated Analytics

Over the coming years, we can expect to see Artificial Intelligence and Business Intelligence working together to create ‘Augmented Data’ and ‘Augmented Analytics’. This looks to deliver Automated Insights (also known as ‘data-based storytelling’) which will help to illustrate key findings in a more automated way, as well as enable other AI led enhancements, including augmented data preparation, automated search engine reporting, and more.

In addition to this, Cloud-based & Mobile BI is expected to grow exponentially, as working from home (and remotely) continues to be part of the new normal for a significant number of businesses.

There’s never been a better time than now to consider a new way of handling analytics within your organisation. It’s becoming increasingly rare to find an enterprise that data analytics isn’t influenced by. So much so, that it’s now the way the vast majority of business decisions are made in major sectors, including financial services and insurance.

Brytlyt empowers businesses to see trends, patterns, areas of growth, and also areas that need attention. The more information your business understands current trends, behaviour and performance, the better the ability to forecast future events.

For Accelerated Analytics, Why Choose Brytlyt?

  • Our end-to-end platform delivers business critical insights to empower teams and stakeholders with all-important decision support.
  • Brytlyt powers, queries and interactively visualises data workflows over billions of records, with a range of accelerated analytics products.
  • With a PostgreSQL compliant GPU database, your organisation can be up and running with the benefit of GPU speed – without disruption and dodging the integration costs you’d usually expect when onboarding any new platform.

Rewriting The Rules On Transformational Analytics

Brytlyt is the foundation for any data-driven business. Our GPU-accelerated database can be applied to any number of use cases, driving informed insight across teams, departments and organisations.

Our unique GPU patent pending IP technology has been developed to be at the very forefront of the transformational analytics revolution. Our next generation platform with ‘speed of thought’ analytics is built for ambitious businesses who want to harness their rapidly growing datasets of today and for tomorrow.

Next Steps

To learn more about how Accelerated Analytics can take your business to the next level, get in touch here.