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And where there's data, analytics is the method of choice to solve problems and optimize processes. If you prefer to call it Smart Data, Predictive Analytics, Business Intelligence or simply statistical data analysis, is secondary, what's important are the data at hand and the questions you have. Of course, every enterprise handles their data in their own way and faces their own specific challenges.
Which clients in your data base are most likely to cancel a contract or switch to the competition? Client data analysis can answer this question, also delivering a strategy to dramatically improve customer loyalty. Such analysis can also bring decisive advantages in marketing and client acquisition.
Data analytics is particularly common in quality management and improvement. Strongly fluctuating excess production, inefficient resource consumption, or dissatisfaction of customers and employees can be minimized by an in-depth look at production parameters and business processes. Such analytics also gives you a boost in reaching business objectives and obtain recognized certifications.
Maintenance data can provide crucial insight into the failure probability of components or infrastructure. Such knowledge allows to prioritize maintenance activities, boost reliability, and reduce costs.
You don’t want to miss out on the opportunities brought about by Big Data and Industry 4.0? You want a forward-looking Analytics-strategy but are not sure where to start? You can bring experts on board who help you get ready in data warehousing, process design, and business management, independent of any software vendors. We will show you the benefits your company can reap based on practical examples.
Manufacturing processes automatically yield large amounts of data. A much loo large chunk of this data disappears in archives and data lakes. But it is often exactly this data that can illuminate unexplained fluctuations and unexpected relationships between processes, parameters, and products. Optimize the parameterization of your processes with data analytics and make the step into the industry 4.0.
Even well trained experts can hit a barrier when analyzing research data. The data seem to not make sense, complex relations need to accounted for, or when the latest data science tools of the day is required. As independent experts working with open-source software we can support you in making sense of large amounts of data and complex analyses.
Globally active companies know that a well-functioning supply chain is a critical to success. Analytics on the flow of goods helps you to optimize monitoring of suppliers, delivery to clients, and keep a tab on storage costs and logistics.
A good forecast takes into account both internal data as well as external data sources, whether that be supply chain information, economic indicators, or weather reports. You’ll see that a professional analysis tailored to the need and particular situation of your operation will provide sales and revenue forecasts that significantly outperform off-the-shelf software tools.