Throughout the business world, data science is becoming increasingly popular. Even though not everyone understands the specifics of it, most people with a brief understanding know how it’s fundamental in AI, ML (Machine Learning) and Data Visualisation – all highly prized and valuable tools for enterprises of all sizes.
The business case for data-driven decision making has never been more compelling. Nowadays, it’s extremely difficult to find an enterprise that isn’t influenced by the analytics generated through incorporating data science.
Data science is critical in making actionable insights by using enormous volumes of data to forecast behaviours and make intelligent conclusions by effectively correlating data. In essence, it helps companies optimise their available resources.
Data science isn’t just about crunching numbers;
it uncovers the ‘why’ behind your data.
Data science positively impacts many aspects of enterprise, both in back-end system functionality and front-end user experiences.
As well as the growing demand for the human element of expertise in the data analytics field, there’s also significant growth around the tech that both powers it, and augments the experience. Brytlyt allows organisations to see trends, patterns, areas of growth, and also areas that demand attention, to reach actionable, strategic insights.
Data-Driven Decision Making
Typically, this is the most important reason why organisations utilise data science applications – to better understand their (quantifiable) data, and make strategic decisions based on the results…
To Identify Opportunities
Another capability of data science tools and analytics is opportunity identification. Using both historical and projected market data, decisions and predictions can be made to determine whether a new venture, product, service, or investment is likely to have a healthy ROI.
To Recruit The Best People
By using unique algorithms, data science can incorporate a CV’s data and determine whether a candidate should proceed through to the next stage.
To Better Understand Customer Intentions
As an example, companies can now use data science to better understand the nature of a customer’s enquiry in a more autonomous way, thanks largely to advancements in NLP (Natural Language Processing) unlocked by data science.
Brytlyt’s systems are used in a variety of Big Data applications at the very cutting edge of the transformational analytics revolution, including Machine Learning, Deep Learning & advanced data science analytics.
This advanced level of analytics is used across a variety of industries, including telecoms, pharmaceuticals, defence, logistics, insurance, financial services and even further afield.
If your business is starting its journey in data science it may feel like a daunting undertaking. However, with good preparation and strategy, that needn’t be the case. Data science paired with AI is the key to unlocking your company’s potential and enhancing your most valuable assets.
Brytlyt for your business
Streamlined organisations have always been able to process and understand their data to some extent, however historically, this has always been more retrospective. Brylyt gives users the power to make decisions on-demand, delivering the agility required to be ahead of the curve and maintain the competitive edge.
Our GPU-accelerated systems take entire datasets in, enabling users to instantly interactively visualise, query, and power data workflows over billions of lines of data, while our analytics visualisation workbench means our clients can generate smarter intelligence, at incredible speed.
Designed with the future in mind
Our accelerated insight platform has been developed to be at the very forefront of the transformational analytics revolution. Our next-generation platform is built for ambitious businesses who want to get the most from their rapidly growing datasets for both current, and future use.
Our analytics visualisation workbench means our clients can generate smarter intelligence in many ways; with interactive dashboards that enable users to make decisions in real-time, delivering the agility required to be way ahead of the competition.
Up In The Cloud
Cloud-based GPU-accelerated analytics software is an increasingly appealing proposition for enterprises of all sizes.
With the ability to scale with the growth of an organisation, as well as alongside current demand; the notion of having infrastructure and functionality without the traditional investment makes a lot of sense, however you look at it.
The power that’s available from GPU-based cloud computing has completely reshaped IT architecture over the past few years – with the ability for computing resources to automatically scale based on immediate requirements. Over the next few years, the vast majority of organisations are expected to have Cloud-based systems to meet their data, infrastructure, and software needs.
A Truly Smart Implementation
The most important thing that any business can do to prepare to implement a data science program is to make sure their data is both accessible and organised. The first step is to gather as much data as possible — even if it’s unstructured. Then, your organisation will need to establish what the overall goal they’re trying to achieve from their data science initiative.
Instead of overhauling existing systems, our platform can be easily integrated into most business environments. Brytlyt is the future-proofed approach to data processing and analytics.