The volume of data is so large and complex that forecasts are often unpredictable: the world is changing faster than managers can anticipate. Managers can no longer rely on traditional monthly reporting of internally generated data to navigate the future. This is where iFP&A comes in.

When your financial planning and analysis (FP&A) becomes data-driven using automation and an intuitive platform with the right tools, then there's a fundamental shift. The data flows freely, it's trustworthy, and it starts to work for you. In fact, it can lead to a transformation, especially with decision-making around your organisation's finances and business strategy. But how can you reach this point? 

Data today is being created and consumed at an unprecedented scale. Data science is progressing even faster, further speeding up the rate of data creation and consumption. The companies that are the first to adopt the best practices will gain a significant advantage. The rest might just perish. 

One of the most important aspects of the FP&A role is to be able to provide insights by analysing the P&L. On the surface, P&Ls measure the profitability of the whole business and a lot of times FP&A professionals will look at P&Ls for the overall health of the organisation. 

If there is no financial planning, there is no financial control. Since financial planning and analysis (FP&A) is connected to all departments within a business, its fiduciary duty is to secure the realised value. There are three areas where the quality of financial planning can be leveraged to maintain this value.

Some people believe that Artificial Intelligence (AI) will eventually replace humans within FP&A. Thought leaders and experienced AI users feel that this is completely wrong. For AI to be effective, it needs to be combined with human intelligence (HI).