Recent TRG blog posts

This year’s re:Invent (29 Nov – 3 Dec) marks the 10th anniversary of AWS’ annual customer conference, where breakthroughs and successes in cloud technologies are celebrated. And it is only appropriate that Infor is honoured at this event for their tireless innovation in SaaS enterprise software solutions with the AWS Industry Solution Independent Software Vendor (ISV) Partner of the Year Award.

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.

Infor Ming.le is a comprehensive platform for social collaboration, business process improvement and contextual analytics. Its innovative social media concept enables an employee to work more effectively as it combines social communication and business processes. The major difference between Infor Ming.le and other information sharing technologies is Ming.le is fully embedded with the organisations main systems, for example, ERP and accounting software. 

As a traveller, don't we all wish the hotel onboarding process, door unlocking, room services, and 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.