Welcome to the Era of Big Data! Modern manufacturing companies nowadays create enormous amounts of data, whether it be in production, in customer contact or administration. Just as comprehensive are the options for utilising this potential. Data analysis can bring transparency into a variety of processes and areas which support holistic and informed decision-making in the context of growing costs and competitive pressure - assuming that they are intelligently linked within a high-performance analytical platform.
Get to grips with your company's sales activities with a modern BI solution. All tasks can be carried out more efficiently and precisely than ever before - from costing and income statements to distribution channel and portfolio analysis to the controlling of external staff. Linking numerous dimensions to markets, buyers, competitors, products or individual business areas leads to completely new findings regarding the company's strengths and weaknesses. This provides an efficient and substantiated basis for decision-making for the optimisation and future strategic alignment of sales and distribution.
Similarly, you can establish just as specific a picture of your customers. Example ABC analysis: Which regions contain Category A customers and which contain potentially only Category C? Which Category A customers are reducing the volume of orders? Which Category B customers have the potential to become key accounts? And: Who is active? Who has not placed an order for some time? With the help of your data system, these and many other questions can be answered and used for targeted campaigns.
Service and product offers can be very complex, particularly in the manufacturing industry and can sometimes stall in the department responsible for weeks. With the help of an efficient data retrieval function, you can directly access the relevant reference values and thereby improve the processing as well as the quality of your tendering and offer submissions. This means that offers for which there was no demand are also specifically analysed. This simultaneously allows for a more structured offer follow-up via an automated current status update system.
You can also simplify your procurement system: Informative overviews and statistics allow you to track changes in incoming orders over time as well as provide a historical summary. Orders can be called up in every detail, from whole machines to accessories, like cleaning materials, all the way through to assembly and training services. In addition, modifications carried out during processing can be specifically monitored and documented.
Everyone's talking about Industry 4.0 and BI and particularly Big Data technologies can contribute significantly to your success in this arena. Cross-linking machines, storage systems and manufacturing plants in the so-called 'Internet of Things' will lead to the continual creation of untold amounts of structured and unstructured data which should be specifically evaluated. This means that the efficiency of your production paths can be improved in various ways: You can improve quality and reduce surplus and with the help of Predictive Maintenance, unplanned machine down-times can be avoided. In addition, general recommendations are made for sales and production control which contribute to a sustainable reduction of costs.
Increasingly automated production machines produce continuous sensor data, which indicates errors or signs of wear, among other things. BI-supported analysis means that this information can promote a substantiated basis for predictive maintenance and servicing measures as well as improved service logistics. At the same time, indications for potential improvements in construction are generated. In this way, the utilisation and operational characteristics of the machines can be modified.
Exactly the same process applies for B2B or B2C: The generation of more individual product variants will increasingly become a defining criterion of success. For the manufacturing industry, this means reacting as quickly and flexibly as possible to customer requirements, while keeping costs reasonable. Help is at hand in the form of BI-based variant configuration: the process can specify the product centrally. As a consequence, processing and lead times are reduced, and the information flow between sales, construction and manufacturing is optimised.
And last but not least, there exists the option to integrate the transmission data of your logistics partners into your data model. This means that you can directly call up the individual status of numerous transmissions and react quickly to any inquiries. The added benefit is that this will reveal any weaknesses in the delivery supply chain.