Businesses use ERP software to streamline operations and create a central location for information and management.
Using data gathered from several departments, including finance, manufacturing, operations, sales & marketing, and human resources, a contemporary ERP system can be used (HR).     
With the help of that central database, stakeholders can analyse different scenarios, perform financial planning and analysis, and glean process improvements that can result in significant efficiency gains, cost savings, and improved productivity because people don’t have to spend as much time looking for the data they need. 
ERP analytics are a critical component of any business process nowadays. And during the past few years, the analysis of massive analytical data and the introduction of flexibility into the enterprise’s critical operations have only helped companies advance toward the vision of a larger business prospect. 
Predictive analytics is currently the best technique to add more transparency and insight to your company decisions, as we have already established. However, it is also true that gathering useful information to create a clear strategy from which you can truly see the outcomes of what it can achieve or whether it is worthwhile may take some time. 
These days, an ERP system based on a company’s past may accurately forecast future ERP trends. Additionally, it serves as a gauge of internal performance and development for a business. Not to mention its capability to collect data from customers dependent on circumstances in the global market.               
So the question here is how to exploit ERP solutions in order to boost predictive analytics Capabilities? 
The answer to this question could be resumed in 4 main points : 
1- Data-Driven Analysis for Better Decision Making: The ERP system is seen as being extremely beneficial when it comes to business decision-making. More importantly, by examining the sophisticated analytics of the historical data of your firm, it assists you in obtaining priceless data-driven business insights to make crucial decisions for the future. 
2- Predicting the correct Forecast: Sales forecasting is an essential tool for any business-oriented company to have. It enables the company owner to accurately gauge and estimate the level of demand for their goods. Not to mention, it helps businesses manage their inventories more effectively. Additionally, it enables the financial official to prepare and forecast for the budget as well as the intention of the organization to grow in the upcoming season. 
3- Estimating Supply Chain & Stocks: An excellent source of data for examination is the ERP database of industrial products. And now, it’s crucial for forecasting the supply chain and the amount of stock accessible in predictive analytics. A seamless supply chain and effective stock management are crucial for every business model that involves the production of items for the market. Additionally, keeping track of the supply chain and stock requires knowing the location of the shipment, product, or carrier. 
4- Predicting Maintenance & Additional Cost: An ERP system notifies the person in charge of equipment maintenance in advance of this. This enables the supervisor to arrange for the equipment’s servicing even before it malfunctions and prevents productivity. As a result, there is no production lag caused by equipment downtime.

To resume, ERP systems use data collection and tracking by ERP systems is to automate advanced analytics. Based on your company’s past, buyer data, global market conditions, and internal performance indicators, ERPs may effectively predict trends. Your business no longer needs to stress about what to do and when to do it thanks to ERP predictive analytics. Your only responsibility after the ERP provides you with reliable, high-quality predictive data is to accomplish the set goals.