We sat down with our CTO Mohammad Waqar, known to us as Waqar, to learn more about what Gartner is calling one of the top strategic technology trends – Decision Intelligence.
Hey Waqar, we’ve read the reports and seen the headlines. According to Gartner, it is predicted that more than a third of large organisations will be using Decision Intelligence within the next two years. But what exactly does the term mean?
Put at its simplest, Decision Intelligence is the process of taking advantage of machine intelligence to process large amounts of data to make informed decisions grounded in fact. For an organisation, deploying decision intelligence can provide numerous benefits across departments and improve business performance by predicting accurate outcomes for faster, optimal commercial decision-making.
At Galvia, we deploy a decision intelligence platform that will turn an organisation’s data into meaningful insights in a fast, secure and reliable way. We do this by integrating data from various enterprise data sources to build predictive models, generate deep insights and then offer visualisations to enable quicker decision-making. Our goal is to give our customers the freedom to focus on what matters most: growth.
So how is it different from the traditional decision-making process?
In a more traditional decision-making process you collect data, you visualise it and find insights then, through dashboards or reports, stakeholders use those insights to make decisions. It’s a very iterative and linear process, vulnerable to human bias and often time-consuming.
But today with the exponential growth of data collection and the digital disruption across all industries, traditional processes are becoming more unsustainable. Decision Intelligence is not about removing humans from the decision-making process entirely. In contrast, decision intelligence empowers humans in your organisation to take your traditional decision-making processes and combine them with advanced technologies – like AI, ML, intelligent apps, and natural language programming (NLP) – to transform data dashboards and business analytics into more comprehensive decision-support platforms.
So now you are making decisions based more on just past performance. You can start to ask questions like, “how will this decision affect my company next year?” You can focus on what matters most.
How exactly does Galvia help clients with their decision intelligence?
Taking advantage of decision intelligence AI is a challenging and resource-intensive task. You typically require a group of highly trained data scientists, data engineers and software engineers to build any successful decision intelligence AI solution. Galvia makes this process easy by giving you the power to take advantage of the latest AI quickly and guides you through the process of employing AI on a secure, scalable and reliable platform. Galvia helps you with the journey from data to decision intelligence, giving you the freedom to focus on your strengths – your offering and your engagements.
Okay, so you’ve got 60 seconds to tell me the top five benefits of working with Galvia?
Ha, right let’s go:
Access state-of-the-art AI to solve your business problems in a secure, scalable and reliable way.
Make informed decisions and prepare for future risks and opportunities ahead of time.
Automate mundane tasks.
Access insight with easy-to-use conversational user interfaces and dashboard.
Focus on growth.
Well done! Any last bit of advice for organisations getting started with decision intelligence?
Organisations that make better decisions win. However, great business decisions need to be based on data. AI and data are the key ingredients for the success and growth of any business in the current day, but for non-digital native companies, it can be a big leap. Making sense of data helps businesses find the right patterns, connecting factors, cut through complexity and rise above the competition.
To get started, with decision intelligence, organisations first need to get their data in order by developing a good understanding of their data and curating it so machines can easily understand and process it. Everyone on the team has to be on board and clearly understand the benefits this transformation can bring to the business and the work. Get a good team to develop your AI solution, like us at Galvia. Start simple and build it incrementally.
Thank you Waqar. Can we get back to you with any other techie questions?
Anytime, it comes with the territory!