sedApta Analytics transforms your supply chain data into clear KPIs, real-time reports, and comparative analyses for every level of the decision-making process. From historical data to operational visibility, all in a single framework.
The definition of Business Intelligence (BI) encompasses the set of activities that enable the transformation of data into information, information into knowledge, and knowledge into plans capable of guiding the decision-making process at all levels of the organization.
BI It is the key tool that, within the context of business digitalization, guides companies toward increasingly effective and strategic information management.
The environmental characteristics of the Industry 4.0 context have led to the development of an evolutionary process for corporate information systems based on the need to create databases and data warehouses capable of integrating data from across the entire supply chain, with the aim of supporting performance analysis and forecasting activities.
Four measurable operational benefits, not four features listed in a catalog. Because supply chain managers need to know what they’re making, not what they’re buying.
Analytics automatically calculates and publishes supply chain KPIs that comply with ISO 22400. No Excel spreadsheets, no manual reconciliations between systems. The data is always available when you need it.
With standard contract views, Analytics consolidates production, logistics, quality, and planning data into a single platform. The era of separate reports by function is coming to an end.
The Reporting Framework module allows you to create custom reports and tailored dashboards without relying on IT. Process managers have immediate access to the metrics that matter most to their role.
Each analysis can be saved and compared with previous periods. Those responsible for planning can track performance trends throughout the entire decision-making process, not just the current snapshot.
Six features that cover the entire cycle: from data collection to decision-ready KPIs. For those who need to assess the module's technical capabilities, or simply understand what's going on under the hood.
Comparative monitoring over time. The analyses are saved and can be compared over custom time intervals. It is possible to identify trends, recurring anomalies, and continuous process improvements throughout the decision-making chain.
BI is, by definition, invisible: you can’t see the moment when a number becomes an operational decision. This step-by-step guide outlines that process in four steps, from data that is still scattered across company systems to documented actions that can be compared over time.
Analytics automatically aggregates data from ERP, MES, WMS, APS, and any other systems in use throughout the supply chain. No manual exports, no files to reconcile.
The module calculates the KPIs selected from the ISO 22400 catalog or customized. The values are updated in real time or according to a schedule set by the team.
The data is transformed into dashboards, reports, and role-based navigable OLAP views. Each function sees only what is relevant to its own decisions: from the plant overview to the process details.
Reports are saved and compared over time. Process managers identify deviations, trends, and opportunities for optimization before they become problems. The decision is documented, verifiable, and traceable.
Analytics is a component of O.S.A., the web-c ecosystem of the sedApta Suite, designed to support all processes involving Business Intelligence activities such as: Change Management, Monitoring, Production, Quality Control, Logistics, etc.
Through the Analytics Reporting Framework—the Suite’s web-based reporting tool—Analytics generates reports to support decision-making for the strategic management of business processes (Business Analytics Reporting).
Analytics monitors the Supply Chain, calculating key KPIs that can be selected from catalogs—tailored to companies’ specific needs and compliant with ISO 22400—or entered manually by users.
By defining access rules and visualization options, the sedApta tool supports users in configuring analytics for analysis. At the end of each trial instance, Analytics allows you to create new reports through the selection and application of filters to the data. Analyses can be saved to ensure comparative monitoring of processes throughout the decision-making chain over time.
One of the main benefits provided by the sedApta tool is continuous improvement of business processes, thanks to the integration of Analytics with the main software applications in use throughout the supply chain.
Analytics consists of two components:
This component provides functionality for OLAP analysis. Using standard contract views, the Analytics BI Tool interfaces with all the repositories used throughout the supply chain to collect process output data. In this way, the module helps standardize the KPI analysis process by integrating data from different functions and processes.
This is the Analytics web tool that contains all reporting features. With a wide selection of dashboards and clips—both standard and custom—the Analytics Reporting Framework allows you to view data and analytics from both online production data sources and the Analytics BI Tool.
Analytics is not a standalone reporting tool. This is the operational intelligence layer that powers the entire O.S.A. suite
The KPIs calculated by Analytics feed directly into the Demand Management processes to refine forecasts, into the MES for real-time production monitoring, and into the S&OP module to support integrated planning reviews. While the Orchestrator coordinates processes, Analytics provides the historical and comparative visibility that makes those decisions verifiable over time.
The result: a closed loop between data, decision, and action, without having to leave the platform to reconcile information from different systems.
