Predicting your business’ financial future may not be at the top of your to-do list if you're so caught up in day-to-day operations. Fortunately, modern enterprise software has matured enough to make financial forecasting much faster and more accurate. So, what is financial forecasting software?

In today’s digital economy, companies have access to more data than ever before. This information serves as a foundation for making key business decisions. Companies must invest in data management systems that increase visibility, reliability, and security to ensure that employees have the necessary data for decision-making.

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.

In today's business world data has become the most important asset for practically every organisation. If your customer database is left idle for a long time, the information becomes outdated and redundant. Your company needs accurate, relevant data in order to develop successful initiatives. And here is why a data cleaning tool may help you. 

Infor CPQ is considered a Visionary among Configure Price Quote solutions by this year’s Gartner Magic Quadrant.

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.

One would think that, compared to earlier generations like Gen X and Baby Boomers, younger generations – Gen Z and Millennials – are more likely to ditch the physical office altogether if given a chance. Interestingly, the opposite might be true.

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.

Our current workforce is being filled with young fresh graduates, individuals that belong to a completely new generation, Generation Z (Gen Z). But did you know, including Gen Z, we are having four vastly different generations working under one roof? The gaping diversity in age, experiences, skill sets, technological understanding, and behaviours have definitely contributed to the already complex HR landscape we are facing today.