Analytics

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.

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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.

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What actually changes when you use Analytics?

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.

KPI data is always up to date, with no manual effort required

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. 

A single analytical framework for the entire supply chain

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. 

Custom reports in minutes, not weeks

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. 

Historical visibility and comparative monitoring over time

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. 

How Analytics Works: From Data Integration to Operational Insights

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.

  • Unified data collection across the entire supply chain. Analytics connects to key repositories throughout the supply chain via standard contract views. Production, inventory, purchasing and logistics data are consolidated into a single data store without the need for custom integrations.
  • ISO 22400 KPI catalog. The module includes a predefined catalog of KPIs compliant with ISO 22400, which can be selected by process area. You can add custom indicators without modifying the platform's core.
  • OLAP and multidimensional analysis. The Analytics BI Tool offers OLAP analysis capabilities: aggregations, drill-downs, and slice-and-dice analysis of historical data. Planners can explore the causes of a performance deviation in just a few clicks, without waiting for batch reports.
  • Customizable dashboards and role-based access. Analytics dashboards can be configured with role-based access rules. A plant manager reviews plant efficiency metrics; a supply chain director reviews an overview of the entire supply chain. Same data, different perspectives.
  • Just-in-time reporting for process managers. At the end of each process instance, Analytics automatically generates a filtered report on the relevant data. Process managers receive contextual information when they need it, not at the end of the day.

  • 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. 

From Raw Data to Decisions: How Analytics Turns Information into Action

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.

Collection
KPI Calculation
Analysis and visualization
Action and Continuous Improvement

Collection

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.

KPI Calculation

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.

Analysis and visualization

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.

Action and Continuous Improvement

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: the Business Intelligence component of sedApta Suite

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:

Analytics BI Tool

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.

Analytics Reporting Framework

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.

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FAQ

  • sedApta Analytics is the Business Intelligence component of O.S.A., the web ecosystem of the sedApta Suite. It turns supply chain data into clear KPIs, real-time reports and comparative analyses for every decision-making level, from historical data to operational visibility, in a single framework. It supports processes such as change management, monitoring, production, quality control and logistics.

  • Business Intelligence is the set of activities that turns data into information, information into knowledge, and knowledge into plans that guide decisions at every level of the organization. As industry has gone digital, information systems have moved toward databases and data warehouses that integrate data from the whole supply chain. Analytics builds on this to support performance analysis and forecasting, from the plant manager to the supply chain director.

  • The Analytics BI Tool is the analysis engine: it provides OLAP functions and, through standard contract views, connects to supply chain repositories to standardize the analysis of KPIs coming from different functions. The Analytics Reporting Framework is the web-based reporting interface: it offers standard and custom dashboards and clips and displays both online production data and data processed by the BI Tool. In short, the first processes and analyzes the data, the second presents it and makes it usable.

  • ISO 22400 is the international standard that defines KPIs for manufacturing operations management. Analytics includes a catalog of predefined ISO 22400-compliant KPIs, organized by process area, which are calculated and published automatically, without spreadsheets or manual reconciliation. Yes, you can add custom indicators: catalog KPIs can be adapted to your needs and new ones added without changing the core platform.

  • Analytics connects to the main supply chain repositories (production, warehouse, purchasing, logistics) through standard contract views, predefined data views that expose information in a uniform format. Data from ERP, MES, WMS, APS and other active systems flows automatically into a single data store, with no custom integrations or manual exports.

  • OLAP (On-Line Analytical Processing) lets you explore historical data across several dimensions, such as plant, line, product and period. Aggregations give you the big picture, drill-down takes you into the detail, and slice and dice lets you isolate and cross the dimensions you care about. You trace the causes of a performance deviation in a few clicks instead of building ad hoc reports.

  • With the Analytics Reporting Framework you build custom reports and dashboards yourself, without relying on IT, so each process manager gets the metrics that matter for their role. Access rules are role-based: for example, a plant manager sees plant efficiency, while a supply chain director sees the broader picture, each at the level of detail they need.

  • Just-in-time reporting is a report that Analytics generates automatically when a process instance ends, filtered on the data relevant to that process. The process manager immediately gets a picture of how that execution went, without having to request or build it by hand.

  • With comparative monitoring you save analyses and compare them with earlier periods over intervals you choose. You see how performance evolves, spot trends and recurring anomalies, and check whether a corrective action worked. Decisions become documented and traceable, and each analysis cycle becomes the basis for the next improvement.

  • Analytics KPIs feed other modules of the sedApta Suite: Demand Management uses them to refine the forecast, the MES for real-time production monitoring, and the S&OP planning module for integrated plan reviews. With Orchestrator, Analytics provides the historical and comparative visibility that makes decisions taken in orchestrated processes verifiable over time.

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Analytics is part of O.S.A.: data integrates with planning

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.

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