The ongoing pandemic has further highlighted the importance of being an agile and resilient enterprise. In many cases, a successful transition to the cloud is among the most critical factors in building agility and resilience. Still, many enterprises are wondering where to start with their cloud strategy.
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Despite being the largest group in the workforce, 2.7 billion in 20181, “deskless workers” seem to be overlooked by the sweeping digital transformation at their workplaces. As we are slowly going back to work in a business-as-unusual world, this is the perfect opportunity for organisations to address this once-forgotten issue.
Versatility, scalability, cost-savings, and deep analytics capability – those benefits have made data lakes an indispensable component of a modern enterprise’s technology infrastructure. But just like everything else in life, there are trade-offs that, without proper precautions, can turn your data lake into a ‘data swamp’ – a digital mess of unmanageable and unusable raw data.
Data Management is extremely critical. As your business grows, it is only natural that the amount of data you generate daily, such as customer data, employee data, internal process data, product data, etc. also increases.
Digital transformation is not new. It has already started several years ago, way before the COVID-19 pandemic even occurred or the new normal sets in. However, many companies today are still reluctant to embrace such change. There is still the belief that to begin digitising, a company requires big budgets and skillful talents.
No longer a novel technology, cloud is increasingly becoming the mainstay of the modern enterprise IT architecture. Nonetheless, navigating a myriad of cloud-related concepts can still prove challenging.
As a traveller, don't we all wish the hotel onboarding process, door unlocking, room services, in-room amenities usage can be carried out digitally, seamlessly, without waiting in line or encountering awkward greetings.
Wonder how Netflix is able to suggest TV series that match your interests, or how Amazon recommends personalised products, thus urging you to buy more? These are all made possible thanks to Artificial Intelligence and machine learning.
Running a business during the pandemic is already stressful, ensuring its continuity post-pandemic is an even greater challenge that requires careful re-evaluation of the current processes, organisational culture and workforce planning, not just upgrading the IT infrastructure.
A data lake, in essence, is a repository that can store an infinite amount of both structured and unstructured data for later use. In a previous article, we have briefly explained a few noticeable differences between data lakes and data warehouses. Each type of data repository serves a unique purpose. Therefore, instead of replacing one with another, they can be used supplementarily.