From chaos to control by achieving efficiency through transparency
The inputs for the planning process, including supply and demand data, undergo frequent changes. These fluctuations can lead to deviations from the original plan, disrupt processes, and result in unmet demands.
Within complex and fragmented systems, understanding the impact of process parameters can be challenging. Data Quality Navigator facilitates informed decision-making by utilizing process twins to quantitatively measure the influence of each parameter.
Outdated, incorrect, or missing planning master data can result in inefficient planning or disruptions in processes. Data Quality Navigator identifies data quality issues and offers guided workflows for correcting them.
The Data Quality Navigator uses tailored spend analysis to reveal spend categories, vendors, and regions allowing detailed decision-making based on allocation and aggregation of data.
The Data Quality Navigator offers a sustainable inventory optimization approach that identifies savings potentials and creates full cost transparency for logistics planners and material managers to support their decision-making.
By combining advanced optimization algorithms with a powerful simulation engine, the Data Quality Navigator can detect critical demand patterns and point out parameter settings. Decision-makers can directly derive optimal parameter settings to prevent overstock or line stoppages.
The Data Quality Navigator contextualizes MES with ERP data to derive the risk of potential material shortages by systematically analyzing line supply parameters. Inappropriate settings are indicated and permanently monitored to support stable and efficient material flows.
Logistics planners face various challenges linked to a product's lifecycle, such as complex demand patterns (e.g., temporary shocks, phase-out, phase-in, etc.). Lacking transparency reduces their planning capabilities to anticipate future demand quantities.
The Data Quality Navigator assesses your supplier's performance by evaluating the past, planned, and actual deliveries, providing direct insights into the complete delivery history.
The Data Quality Navigator provides a single point of truth for project monitoring, making information available to the whole project team, making it a perfect complement to classical project management tools. It helps to sort through the dependent and sequential project activities and summarize them in a visualized roadmap to align large and distributed teams.