STORY INLINE POST
Q: The emergence of a data economy has become clear to all market participants. What variables should companies consider when building a database?
A: Our market approach focuses on business discovery to align our clients’ technology objectives with their midterm business strategies, which normally stretch from three to five years. These endpoints, established following data indicators, are necessary to building a functional and secure data infrastructure. The data structure should be engineered with purpose so that, over time, it produces relevant, informative and actionable data. Moreover, the structure should be flexible so that if the generated data requires it, we can help our clients reconfigure it to reflect their changing needs. In essence, building a data structure without clear guidelines will likely result in misaligned business and technology goals, and thus fall short of expectations.
Q: Prior to the COVID-19 pandemic, digital services had been largely sidestepped by Mexican companies. Since then, what has become your clients’ main concern?
A: Prior to the COVID-19 pandemic most companies were engrossed in transformational projects, involving differentiating initiatives meant to stimulate business growth. After the ramifications of the pandemic became clear, there was a collective shift from transformational projects toward transactional projects. The latter refers to technology proposals aimed at adding productivity and operable efficiency to daily operational processes, a then necessary step as companies saw themselves obligated to send their workforce home. The drive to develop new functional approaches for collaborative work pushed the development of transactional projects between 500-800 percent. Examples include the addition of cybersecurity extensions, customer relationship management (CRM) extensions and business process management (BPM) tools, all of them necessary to make remote work possible and safe.
As the global economy enters a “post”-pandemic reality, most companies have deployed their transactional projects, allowing them to return to transformational projects that had been put on pause. In 2022, most companies will be preoccupied with catching-up in this area, representing a great opportunity for BigData4All. We aim to contribute to these efforts by helping companies identify actionable data and formulate a strategic plan so that our clients get their transformational projects off the ground as fast and efficiently as possible.
Q: How has the rapid and continued addition of new software and hardware applications to company networks changed BD4’s engineering of data infrastructures?
A: Cloud services, which offer simplicity, flexibility and speed, have allowed our clients to grow considerably over the past year. Since these characteristics are in demand, we expect more companies to make this transition over the rest of the year. In anticipation of this shift, BigData4All has mobilized to align its initiatives to cloud service operability so that we can supplement the incremental growth of our clients in this digital space.
Q: What leading data and analytics trends represent the greatest market opportunity for BigData4all?
A: Artificial intelligence and machine learning applications represent the largest market sector opportunity and we aim to use these tools to serve several industries. Our pipeline includes recommendation models that will use generated data to identify next best actions (NBA) and help discern next best offers (NBO). Ultimately, the objective is to make this model capable of operating simultaneously but differently for client operations and consumers at their respective ends.
Another initiative involves an IoT software that involves predictive maintenance to anticipate faults along the whole productive chain, a useful solution amid supply chain disruptions and rising input costs. We have also identified opportunities in scoring, which allows companies to verify, identify and evaluate providers. This process is important for companies entering agreements with new and lesser-known providers.
Regarding cybersecurity, the most pertinent trend for 2022 is SD-WAN (Software Defined Wide Area Network, which will enable companies to bypass the need for physical links to deploy interconnectivity between branches.