Humans have always been trying to see into the future. Since we came into existence, we have strived to foresee what awaits us down the road. Today, with the ever-rising amount of data and creation of advanced analysis techniques and machine learning algorithms, we can use historical data to predict valuable metrics and use the insights to adapt to future outcomes and be a step ahead of the competition. Predictive analysis consists of a range of statistical methods and machine learning algorithms aiming to learn and recognize patterns and trends in data and apply that understanding to predict how certain metrics change in the future. The process of predictive analysis starts with defining a goal, like reducing waste, cutting costs, or increasing efficiency. According to the desired outcome, suitable datasets are collected and processed so they can be used to develop prediction models. Statistical methods and machine learning algorithms are then used to develop an accurate predictive model based on the data. the model is then fine-tuned and integrated into the business to achieve desired results. In many cases, not knowing what could happen and failing to plan the right actions can lead to unrecoverable losses. Our experts at Artin are ready to help you stand out from the competition.