Angel Vina discusses the integration of his business and his approach to overcoming data constraints.
What it means to be “data driven” is changing as a result of rapidly accelerating technological advancements, the recognition of data’s worth, and rising data literacy. By 2025, most employees will utilise data to optimise almost every element of their work, and intelligent processes and seamless interactions between humans and robots will probably be as commonplace as the corporate balance sheet. Although we are aware of how close 2025 is, that is not the goal.
This new data-driven enterprise will be characterised by seven traits, many of which have already been demonstrated by numerous businesses and many more of which are in the process of doing so. As building infrastructure across the country becomes more critical, we got exclusive excerpts from the insights shared by Angel Vina, CEO & Founder of Denodo Technologies as we were in conversation with him on his views on data challenges and the expansion plans across the country
When did you start your Indian operations and can you share a glimpse of the current status now?
We have a very veritably old history because we started in Spain where I was a professor in Academia, specialising in software at the Technical University. We created a technology for data integration that was revolutionary at the time because it addressed issues without the need for ETL in the data, which essentially means without the need to move data from one location to another. Five years after developing that technology, I packed up my family and headed to California with some investors because the technology was unquestionably a game changer.
Do you believe in firms are facing data challenges today and how different are they from the rest of the world?
I usually try to describe data challenges from the CEO’s point of view. As someone who deals with those difficulties on a daily basis in my business. There are three fundamental three elements that truly matter when it comes to information and data for top executives, leaders, and those who are actually making decisions that really are vital for a business, for the government, or for anything else that really is significant in life. One is access to the data. Everyone at the top is advocating for democratising data access because we want our teams or employees to use more data to make better decisions, which often require you to have access to data and information.
This is crucial to maintain competition and seizing chances. Everyone is aware of this because it also applies to your own life. Therefore, the first value equation for our technology is that you need to be well informed and have access to data in order to make wise decisions. The second value equation is about reasoning.
Investments in data infrastructure, when a corporation thinks about information about that data, he thinks about how long it takes to prepare data for use, how much it costs to build Data Systems, and to maintain Data Systems well, this is something that is very much about reducing cost no making things efficient you know to be fast at a having the data at your fingertips, and the third challenge right now that is in the data. We are aware of the primary difficulties with the data pipes. We are attempting to bring a solution that creates or handles all these difficulties at once. Data for opportunities. Data to be efficient you know at a lower potential cost.
Do you believe that certain sectors or certain industries are impacted by data challenges for example the BFSI sector?
Absolutely all this applies to all verticals and all Industries. We’ve just been here in Chennai meeting financial services companies and manufacturing companies. This is also very nice and it’s beautiful to see some commonality across organisations, which well uses data and the use of information is what it’s very agnostic. It matters everywhere and matters for everyone. The next customer may be a telco in Mexico, and the next customer may be a healthcare company in Singapore or a mining company in Saudi Arabia.
Could you tell us some of the key solutions that could tackle these data challenges?
We can sort of condense the various use cases around a few subjects, but the solutions vary considerably depending on the industry. For example, one thing we offer without using technology is a way to combine multiple data sources. Cycles data is inherently fragmented, so the solutions focus on how to handle data in any situation where the data is fragmented in an easy way because when you need the glue, and we are the glue for data users with I mean we very much propose that you know the unification of different Data Systems through an abstraction layer. We can sort of condense the various use cases around a few subjects, but the solutions vary considerably depending on the industry. For example, one thing we offer without using technology is a way to combine multiple data sources.