Enterprise management system with integrated business intelligence and IT-supported optimization

Abstract

A business management system with integrated business intelligence and IT-supported optimization, consisting of: a computer device comprising at least one processor and a memory arrangement for storing executable instructions; a data acquisition and integration unit that is operationally connected to the at least one processor and is configured to receive heterogeneous enterprise data from a variety of source systems, including financial transaction systems, operational control systems, human resource information systems, supply chain systems, customer interaction systems, and IT infrastructure monitoring systems, wherein the data acquisition and integration unit is further configured to normalize syntactic formats, resolve temporal inconsistencies, and map source-specific attributes into a unified enterprise data representation stored in the storage system; a business intelligence processing unit that is operationally coupled with the data acquisition and integration unit and is configured to calculate business performance indicators through multidimensional aggregation, correlation analysis, and trend extraction over the unified business data representation, with the calculated business performance indicators being time-stamped and permanently stored; an optimization unit that is operationally coupled with the business intelligence processing unit and is configured to compare the calculated business performance indicators with stored business objectives and constraints and to determine optimized business control parameters that correspond to resource allocation, operational planning, cost efficiency or performance improvement; a control and orchestration unit that is operationally linked to the data acquisition and integration unit, the business intelligence processing unit, and the optimization unit, wherein the control and orchestration unit is configured to coordinate the execution sequence, forward the results of the business intelligence analysis to the optimization unit, and manage feedback by incorporating the effects of applied optimized business control parameters into subsequent data acquisition cycles; and a communication interface that is connected to at least one processor and configured to exchange data and control signals with external enterprise systems and user terminals.

Description

Technical field of the invention

[0001] The present invention relates to the field of information and control systems at the enterprise level and in particular to an integrated enterprise management system which is implemented as a computer device and associated structural arrangement and is configured to unify the acquisition of operational data, the generation of business intelligence and information technology-supported optimization for organizational planning, monitoring and decision support across multiple functional areas. Background of the invention

[0002] Modern businesses operate with a complex interplay of administrative, financial, operational, HR, supply chain, and IT functions, each generating large volumes of heterogeneous data with varying temporal resolutions. Traditional ERP systems primarily focus on transaction capture and process automation, while separate business intelligence tools are typically used for reporting and analysis. Such fragmented architectures lead to data silos, delays in gaining insights, limited cross-functional transparency, and suboptimal decision-making. Optimization measures such as resource allocation, cost control, performance forecasting, and risk mitigation are often performed manually or with isolated analytical tools that lack direct integration with the business's live data streams.Furthermore, existing systems are limited in their ability to dynamically adapt to changing business conditions because the optimization logic is not closely linked to the real-time information derived from operational data. Therefore, there is a need for a unified enterprise management system, implemented as a dedicated computing device or machine structure, that seamlessly integrates data acquisition, information retrieval, and IT-supported optimization into a single, coherent system, enabling continuous performance improvement at the enterprise level.

[0003] Businesses have gradually evolved from paper-based administration and isolated departmental tools to digitized processes encompassing finance, procurement, production, logistics, sales, customer service, and IT governance. This digitization has generated vast amounts of transactional data, operational logs, telemetry data from machinery and infrastructure, and manually entered planning data, often scattered across various applications and storage systems. While these data sources collectively describe the state of the business, they are typically generated in incompatible formats, at different frequencies, and under varying levels of responsibility, hindering end-to-end transparency.The need to transform raw, distributed enterprise data into timely decisions has led to the widespread adoption of ERP systems, domain-specific management suites, data warehouses, business intelligence tools, and optimization products. However, the traditional approach remains highly fragmented: one set of tools captures transactions, another generates reports, and yet another—if any—attempts optimization. This fragmentation results in latency, inconsistencies, and governance challenges that prevent organizations from operating as a continuously measured and continuously improving system.

[0004] Existing ERP systems typically offer standardized workflows for core functions such as general ledger, accounts payable and receivable, inventory management, purchase orders, production orders, fixed asset management, and payroll. Their strengths lie in maintaining process discipline and a consistent data set for specific transactions. However, the underlying data structures of such systems are often optimized for transaction integrity and auditability rather than analytics. This can lead to analytical workloads impacting performance or requiring extraction to separate analytical repositories. Consequently, many implementations rely on periodic batch extraction, transformation, and loading pipelines that copy data to reporting databases or data warehouses. Batch pipelines cause system-related delays of hours to days, forcing decision-makers to work with outdated data.

[0005] Furthermore, companies often operate multiple instances of the same ERP product across different subsidiaries or regions, leading to inconsistent master data, incompatible chart of accounts structures, and differing process adjustments. These discrepancies hinder company-wide analysis and frequently require manual reconciliation, which is slow, error-prone, and difficult to scale.

[0006] Business intelligence products emerged to meet reporting and visualization needs by enabling dashboards, ad-hoc queries, and analytical summaries. In practice, many business intelligence implementations rely on semantic models built on curated data warehouses. While such semantic layers can improve consistency, they also require ongoing maintenance to stay synchronized with evolving business rules, new data sources, and changing operational structures. Often, report definitions and metric logic are duplicated across teams, leading to conflicting data versions. The finance department might define profitability using one allocation model, while operations defines the cost of service delivery differently, resulting in conflicting indicators for the same period.Furthermore, business intelligence tools often prioritize descriptive analysis and historical views, relying on human interpretation to translate observations into action. This dependence on the human factor becomes problematic when business conditions change rapidly, such as demand spikes, supply chain disruptions, staff shortages, or IT capacity bottlenecks. Even when anomalies are detected on dashboards, the steps to diagnose the root causes and implement corrective actions often involve multiple systems and organizational silos.

[0007] Performance and scalability limitations also arise in traditional architectures due to the separation of operational and analytical processing. Running analytical queries directly on operational databases can reduce transaction throughput; replicating data to analytical storage introduces synchronization delays. Streaming architectures can reduce latency but require specialized components for event capture, stateful processing, and delivery semantics such as "exactly once" or "at least once." Many enterprise implementations do not fully utilize these capabilities. Even when data streams exist, they may not be semantically harmonized across departments, resulting in mismatched event definitions, duplicate events, or a lack of context for enterprise-wide data analysis.The result is that companies often compromise between accuracy, timeliness, and complexity without achieving a coherent, continuously optimized operating state.

[0008] The current state of the art therefore exhibits several systemic weaknesses: fragmented toolchains that interrupt the path from data to action; delayed analyses that limit responsiveness; inconsistent metric definitions that undermine trust; isolated optimizers lacking company-wide coordination of constraints and objectives; limited feedback mechanisms for validating improvements; the separation of IT telemetry and business outcomes; and governance gaps between derived insights and automated recommendations. These limitations collectively prevent organizations from implementing a unified, closed-loop management system in which business intelligence is generated from harmonized, continuously updated data and directly linked to IT-supported optimization capable of applying and validating business improvements in a controlled and traceable manner. Summary of the invention

[0009] The present invention provides an enterprise management system with integrated business intelligence and IT-supported optimization. This system is implemented as a computing device and comprises a coordinated arrangement of processing units, storage units, data interfaces, and communication structures. It is configured to capture structured and unstructured business data from various internal and external sources, transform and normalize this data to achieve a unified business data representation. It then generates business intelligence indicators using multidimensional analytical processing and executes optimization routines that dynamically adjust business parameters, resource allocations, and operational strategies based on the generated business intelligence results.The system operates as a closed decision and control mechanism in which business intelligence results continuously influence optimization measures, and their results are recursively monitored and refined through subsequent data collection and analysis cycles.

[0010] The present invention aims to provide an enterprise management system implemented as an integrated computer system and structural arrangement that overcomes the fragmentation between transactional business systems, analytical intelligence tools, and optimization mechanisms by combining data acquisition, information generation, and operational optimization within a single, coherent technical framework. The invention is intended to enable companies to continuously monitor, analyze, and improve their performance, rather than through delayed, periodic, or manually coordinated processes.

[0011] Another objective of the invention is to provide a system that can capture heterogeneous enterprise data from different functional areas and IT infrastructures and transform it into a harmonized and semantically consistent enterprise data representation that enables cross-domain correlations, longitudinal analyses and enterprise-wide transparency without manual reconciliation or duplicate analytical definitions.

[0012] Another objective of the invention is to provide integrated business intelligence that calculates reliable, repeatable and time-consistent performance indicators directly from uniform company data, thereby avoiding contradictory interpretations of company metrics and enabling a consistent evaluation of financial, operational, human and technological performance across organizational boundaries.

[0013] Another objective of the invention is to provide an IT-supported optimization capability that is directly linked to continuously updated business intelligence outputs, so that optimization decisions reflect current business conditions, constraints and objectives and are not limited to static planning assumptions or isolated domain models.

[0014] Another objective of the invention is to establish a closed enterprise management mechanism in which optimization measures are monitored by subsequent data acquisition and intelligent recalculation, thereby enabling automatic or supported validation of the results and iterative refinement of enterprise strategies, resource allocations and operational configurations.

[0015] Another objective of the invention is to provide a device-oriented enterprise management structure that enables scalable, reliable and secure operation in distributed organizational environments while maintaining centralized or federated control, auditability and governance of enterprise data, intelligent calculations and optimization decisions.

[0016] Another objective of the invention is to enable a correlation between key performance indicators and the behavior of the information technology infrastructure by integrating operational telemetry data, service management data and business transaction data into a unified intelligence and optimization process, thereby improving root cause analysis and proactive business management.

[0017] Another objective of the invention is to reduce decision delays and manual interventions by providing a system capable of generating actionable insights and optimized recommendations in near real time and interacting directly with connected enterprise systems or authorized users to enable timely and controlled execution of these recommendations.

[0018] Another objective of the invention is to provide an enterprise management system that improves governance, traceability and compliance by maintaining consistent data provenance, time-stamped evaluations and traceable optimization logic throughout the entire enterprise management lifecycle.

[0019] A primary goal of the invention is to achieve technological progress in business management by transforming heterogeneous business data and information technology resources into a continuously optimized, intelligently controlled operating environment using an integrated system and device architecture. BRIEF DESCRIPTION OF THE IMAGE

[0020] These and other features, aspects and advantages of the present invention will be better understood if the following detailed description is read with reference to the accompanying drawing, in which the same symbols represent the same parts: Fig. Figure 1 shows a block diagram of an enterprise management system with integrated business intelligence and IT-supported optimization.

[0021] Furthermore, those skilled in the art will recognize that the elements in the drawing are simplified and not necessarily drawn to scale. For example, the flowcharts illustrate the process by highlighting the main steps to facilitate understanding of the present disclosure. With regard to the construction of the device, one or more components may be represented in the drawing by conventional symbols. The drawing may show only those specific details relevant to understanding the embodiments of the present disclosure, so as not to clutter the drawing with details that are already apparent to those skilled in the art from the description contained herein. Detailed description of the invention

[0022] To facilitate understanding of the principles of the invention, reference is made below to the embodiment shown in the drawing, which is described using specific terms. It is understood, however, that this does not limit the scope of protection of the invention. Rather, modifications and further developments of the depicted system, as well as further applications of the inventive principles shown therein, are conceivable, insofar as they would normally occur to a person skilled in the art in the field of the invention.

[0023] It will be clear to those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the invention and are not to be understood as a limitation of it.

[0024] References to “an aspect”, “another aspect”, or similar phrases in this description mean that a particular feature, structure, or property described in connection with the embodiment is included in at least one embodiment of the present disclosure. Therefore, phrases such as “in one embodiment”, “in another embodiment”, and similar expressions in this description may, but do not necessarily, all refer to the same embodiment.

[0025] The terms "includes," "comprehensive," or similar expressions denote non-exclusive inclusion. Thus, a procedure or method containing a list of steps does not only include those steps but may also include further steps not explicitly listed or inherent in the procedure or method. Likewise, the statement "includes..." for one or more devices, subsystems, elements, structures, or components, without further limitations, does not preclude the existence of other devices, subsystems, elements, structures, or components.

[0026] Unless otherwise defined, all technical and scientific terms used herein have the same meanings generally known to those skilled in the art in the field to which this invention belongs. The systems, methods, and examples described herein serve only for illustration and are not to be understood as limiting.

[0027] Embodiments of the present disclosure are described in detail below with reference to the attached drawing.

[0028] Fig.Figure 1 shows a block diagram of an enterprise management system with integrated business intelligence and IT-supported optimization. The system 100 comprises: a computing device (102) with at least one processor and memory for storing executable instructions; a data acquisition and integration unit (104) connected to the processor that receives heterogeneous enterprise data from various source systems, including financial transaction systems, operational control systems, human resource information systems, supply chain systems, customer interaction systems, and IT infrastructure monitoring systems. The data acquisition and integration unit normalizes syntactic formats, resolves temporal inconsistencies, and maps source-specific attributes to a unified enterprise data representation stored in memory.A business intelligence processing unit (106) connected to the data acquisition and integration unit calculates business performance indicators through multidimensional aggregation, correlation analysis, and trend analysis of the unified business data representation. The calculated business performance indicators are time-stamped and permanently stored. An optimization unit (108) operationally coupled to the business intelligence processing unit is configured to evaluate the calculated business performance indicators against stored business objectives and constraints and determine optimized business control parameters for resource allocation, operational planning, cost efficiency, or performance improvement.a control and orchestration unit (110) that is operationally coupled with the data acquisition and integration unit, the business intelligence processing unit, and the optimization unit, and is configured to coordinate the execution sequence, forward the results of the business intelligence analysis to the optimization unit, and manage feedback by incorporating the effects of the applied optimized business control parameters into subsequent data acquisition cycles; and a communication interface (112) that is coupled with at least one processor and configured to exchange data and control signals with external business systems and user terminals, wherein the business management system functions as a closed computing system that continuously transforms business data into business intelligence and applies IT-supported optimization based on this business intelligence.

[0029] In one embodiment, the data acquisition and integration unit (104) is further configured to apply semantic alignment rules that harmonize different identifiers for organizational units such as customers, suppliers, facilities, products and personnel, thus enabling cross-domain correlation within the unified enterprise data representation.

[0030] In one embodiment, the data acquisition and integration unit (104) is configured to receive both batch-oriented enterprise data sets and event-driven enterprise data streams, and to incrementally update the unified enterprise data representation in response to newly received data.

[0031] In one embodiment, the business intelligence processing unit (106) is configured to calculate key performance indicators for business performance using a common enterprise data schema, corresponding to financial efficiency, operational throughput, staff utilization, service quality, and information technology resource consumption.

[0032] In one embodiment, the business intelligence processing unit (106) is further configured to manage historical versions of the calculated business performance indicators to enable long-term performance comparison and the detection of deviations from expected business behavior.

[0033] In one embodiment, the optimization unit (108) is configured to model corporate goals and constraints as stored parameter sets in the memory structure and to dynamically adapt the optimized corporate control parameters to changes in the calculated corporate performance indicators.

[0034] In one embodiment, the optimization unit (108) is configured to generate optimized enterprise control parameters that include at least one of the following components: instructions for redistributing the workload, values ​​for adjusting resource capacity, parameters for prioritizing planning, or cost control thresholds.

[0035] In one embodiment, the control and orchestration unit (110) is configured to enforce a dependency order between intelligence computation and optimization execution, so that the optimization is performed only after validation of the completeness and consistency of the unified enterprise data representation.

[0036] In one embodiment, the control and orchestration unit (110) is further configured to monitor the results of the applied optimized enterprise control parameters by comparing subsequent enterprise performance indicators with previous indicators and triggering a recalculation when the deviations exceed a stored tolerance value.

[0037] In an embodiment further comprising a visualization and interaction unit that is operationally connected to the at least one processor and is configured to present calculated business performance indicators and optimized business control parameters to authorized users through graphical and textual representations.

[0038] In one embodiment, the enterprise management system is implemented as a physical computing device, the individual units of which each consist of physical electronic hardware elements integrated into one or more computing devices. The computing device comprises at least one microprocessor or multi-core processor mounted on a printed circuit board and electrically connected via a system bus to a non-volatile memory containing semiconductor main memory and non-volatile storage media. The data acquisition and integration unit is implemented as a hardware-based input processing unit comprising network interface controllers, input / output controllers, and bus arbitration circuits. These receive electrical or optical data signals from external enterprise systems and convert them into structured data, which is stored in designated memory areas.The business intelligence processing unit is implemented as a processor-controlled computing circuit that utilizes arithmetic logic units, cache hierarchies, and hardware timers to perform aggregation, correlation, and timing analysis operations directly on stored data structures. The optimization unit is implemented as a dedicated processing path executed by the same or a separate processor core. It uses comparator circuits, parameter registers, and control logic to evaluate stored target values ​​and generate optimized control parameters as machine-readable control data. The control and orchestration unit is implemented as hardware-coordinated control logic that manages the execution order, memory access synchronization, and signaling between the units via interrupt controllers and bus control mechanisms, thus ensuring deterministic coordination of the processing units.The communication interface is implemented using physical transceivers, network ports and protocol processing circuits, which enable the bidirectional exchange of data and control signals with external systems and user terminals.

[0039] The enterprise management system with integrated business intelligence and IT-supported optimization operates as a coordinated computing system in which data acquisition, analytical intelligence generation, and optimization execution are closely coupled and iterative, all under the control of a shared processing and storage architecture. The system is implemented on a computer comprising one or more processors, memory, communication interfaces, and interconnected functional units that jointly execute the enterprise management logic described in the requirements.

[0040] During operation, the data acquisition and integration unit initially receives heterogeneous enterprise data from various source systems distributed across the organization. These sources include financial transaction systems that generate journal entries and payment documents, operational systems that record production or service events, human resources management systems that manage employee attributes and attendance data, supply chain systems that report inventory movements and logistics events, customer interaction systems that record orders and service requests, and IT infrastructure systems that provide performance and availability data. The data acquisition and integration unit applies a series of technical steps, including format normalization, time alignment, and semantic reconciliation. Format normalization transforms source-specific encodings and data record structures into a canonical representation.Time matching assigns a consistent temporal reference to each data element by balancing differences in clock ranges, reporting intervals, and event sequence. Semantic matching applies stored matching rules that map disparate identifiers and attribute names to uniform enterprise entities, for example, multiple customer identifiers to a single enterprise customer reference. The normalized and matched data is written to a unified enterprise data representation, which is maintained in the storage system and incrementally updated as new data arrives.

[0041] Once the company's unified data representation is updated, the business intelligence processing unit applies analytical procedures to the stored data to derive key performance indicators (KPIs). These procedures include aggregation routines for calculating sums, averages, and distributions across defined organizational, temporal, and functional dimensions; correlation routines for identifying relationships between variables across different areas; and trend analysis routines for examining changes in KPI values ​​over time. For example, financial cost data can be correlated with operational throughput and IT resource consumption to derive composite efficiency KPIs. Each calculated KPI is linked to metadata that identifies its derivation context and is timestamped before being permanently stored.The business intelligence processing unit also stores historical versions of these metrics to enable longitudinal analyses, in which current values ​​are compared with previous periods to identify deviations, growth patterns, or newly emerging risks.

[0042] After calculating the company's key performance indicators (KPIs), the optimization unit compares them with the company's objectives and constraints stored in memory. The objectives define desired business outcomes such as cost minimization, adherence to service levels, balanced resource utilization, or maximum throughput. The constraints include capacity, policy, regulatory, or contractual requirements. The optimization unit applies an iterative evaluation process in which the current KPI values ​​are checked for deviations from the target ranges, and adjustments to the company's control parameters are generated. These adjustments can include redistributing workloads between organizational units, changing planning priorities, adjusting resource capacity allocations, or modifying thresholds of operational systems.The optimization logic takes into account the interactions between business units by assessing how a proposed adjustment in one area affects key performance indicators in other areas. This prevents local optimization that negatively impacts the overall performance of the company.

[0043] The control and orchestration unit regulates the sequence and coordination of the aforementioned processes to ensure consistent and reliable system behavior. Before optimization begins, the control and orchestration unit verifies that the unified business data representation meets the criteria for completeness and consistency to prevent optimization based on incomplete or contradictory data. After generating optimized business control parameters, the control and orchestration unit determines whether these parameters should be automatically applied via connected business systems or provided as action recommendations through a user interface.When the automated application is activated, the control and orchestration unit sends control signals via the communication interface to external enterprise systems to ensure that parameter changes are carried out in a controlled and traceable manner.

[0044] After optimized business control parameters have been applied—either automatically or through user actions—the system continues to collect new business data that reflects the impact of these changes. The business intelligence processing unit recalculates relevant business performance indicators based on the updated, unified business data representation. The control and orchestration unit then compares the post-application indicator values ​​with the pre-application values ​​and stored tolerance thresholds to assess the effectiveness of the optimization. If deviations exceed the permissible limits or new constraints arise, the control and orchestration unit initiates recalculation and adjustment cycles, thus establishing a closed control loop.This iterative control loop enables the continuous optimization of business processes based on observed results instead of static assumptions.

[0045] Alongside analysis and optimization, the system ensures governance and traceability throughout the entire lifecycle of data, insights, and optimization decisions. The storage structure stores provenance information that links source data elements to calculated business performance indicators and, furthermore, to optimized business management parameters. This linkage enables retrospective analysis, auditability, and compliance review by allowing an authorized auditor to trace an optimization decision back to the underlying business data and the analytical calculations that justified it.The integration of IT infrastructure telemetry into the unified business data representation also enables the business intelligence processing unit to correlate fluctuations in business performance with the underlying system performance conditions, thus supporting more accurate diagnosis and proactive adjustment.

[0046] This technical structure enables the enterprise management system to function as a continuously operating, intelligent optimization apparatus. The invention allows companies to dynamically respond to changing conditions, align operational behavior with strategic goals, and ensure consistent company-wide control through the close integration of data acquisition, analytical intelligence generation, optimization evaluation, and feedback-based refinement within a single system architecture.

[0047] According to the invention, the enterprise management system is implemented as a device with a housing that encloses several interconnected electronic and logical components. The device comprises at least one central processing unit (CPU) for executing the enterprise management logic, a memory with volatile and non-volatile memory areas for storing data, models, and executable instructions, and a number of input / output interfaces for connecting to enterprise databases, transaction systems, sensor-controlled operating systems, user terminals, and external information services. The device also has a communication interface to support secure data exchange over local area networks (LANs). This enables distributed deployment in different organizational units with simultaneous centralized or federated control.The physical and logical structure of the device enables continuous operation as an enterprise management system that generates data-driven insights and performs optimizations without requiring manual intervention at every decision point.

[0048] In one embodiment, the enterprise management system includes a data acquisition and integration unit configured to receive enterprise data from financial accounting systems, operational control systems, human resource information systems, CRM platforms, supply chain tracking systems, and IT infrastructure protocols. The data acquisition and integration unit performs syntactic and semantic normalization by aligning disparate data formats, resolving temporal inconsistencies, and mapping source-specific attributes to a unified enterprise data schema stored in the device's memory. This unified schema enables cross-domain correlation and longitudinal analysis of enterprise activities.

[0049] The system also includes a business intelligence processing unit (BIM) that is operationally linked to the data acquisition and integration unit. The BIM is configured to calculate key performance indicators (KPIs), trends, correlations, and predictive insights through statistical aggregation, multidimensional analysis, and pattern recognition based on the unified enterprise data schema. The generated results include KPIs related to financial efficiency, operational throughput, workforce utilization, service quality, and IT resource consumption. These results are permanently stored and time-stamped, enabling historical comparisons and the evaluation of performance trends.

[0050] In another embodiment, the system includes an IT-supported optimization unit that receives information from the business intelligence processing unit and applies optimization logic to derive recommended or automatic adjustments to business parameters. The optimization unit is configured to model business constraints, goals, and dependencies, and to calculate optimized configurations for resource allocation, process planning, workload distribution, cost minimization, or performance maximization. The optimization logic runs in direct connection with live business data, ensuring that optimization decisions reflect the current operational state rather than static assumptions.

[0051] The enterprise management system also includes a control and orchestration unit that coordinates the interactions between the data acquisition and integration unit, the business intelligence processing unit, and the optimization unit. The control and orchestration unit manages the execution sequence, the resolution of dependencies, and the routing of feedback, ensuring that optimization measures are monitored in subsequent data acquisition cycles and during the recalculation of business intelligence. This closed-loop orchestration enables continuous improvement through iterative optimization of business processes based on observed results.

[0052] In another embodiment, the device includes a visualization and interaction interface connected to the processing units, allowing authorized users to access computed intelligence, optimization recommendations, and system status via graphical and textual representations. The visualization and interaction interface is configured to display enterprise-wide dashboards, drill-down analyses, and scenario evaluations without revealing the underlying system complexity. User interactions via the interface can optionally influence optimization parameters, constraints, or goals, while the core analysis and optimization execution remain system-controlled.

[0053] The drawing and the preceding description illustrate embodiments. Those skilled in the art will recognize that one or more of the described elements can be combined to form a single functional element. Alternatively, certain elements can be divided into several functional elements. Elements of one embodiment can be added to another. For example, the process flows described here can be modified and are not limited to the manner described herein. Furthermore, the actions of a flowchart need not be performed in the sequence shown; nor do all actions necessarily need to be carried out. Actions that do not depend on other actions can be performed in parallel with the other actions. The scope of protection of the embodiments is in no way limited by these specific examples. Numerous variations, whether explicitly stated in the description or not, such as...Differences in structure, dimensions, and materials are possible. The scope of protection of the embodiments is at least as comprehensive as described by the following claims.

[0054] The advantages, other benefits, and problem solutions have been described above with reference to specific embodiments. However, the advantages, benefits, problem solutions, and any components that can effect or enhance an advantage, benefit, or solution are not to be construed as critical, necessary, or essential features or components of the claims. REFERENCES 100 A business management system with integrated business intelligence and IT-supported optimization. 102 Computer device 104 Data Acquisition and Integration Unit 106 Business Intelligence Processing Unit 108 Optimization Unit 110 Control and Orchestration Unit 112 Communication interface

Claims

[1] A business management system with integrated business intelligence and IT-supported optimization, consisting of: a computer device comprising at least one processor and a memory arrangement for storing executable instructions; a data acquisition and integration unit that is operationally connected to the at least one processor and is configured to receive heterogeneous enterprise data from a variety of source systems, including financial transaction systems, operational control systems, human resource information systems, supply chain systems, customer interaction systems, and IT infrastructure monitoring systems, wherein the data acquisition and integration unit is further configured to normalize syntactic formats, resolve temporal inconsistencies, and map source-specific attributes into a unified enterprise data representation stored in the storage system; a business intelligence processing unit that is operationally coupled with the data acquisition and integration unit and is configured to calculate business performance indicators through multidimensional aggregation, correlation analysis, and trend extraction over the unified business data representation, with the calculated business performance indicators being time-stamped and permanently stored; an optimization unit that is operationally coupled with the business intelligence processing unit and is configured to compare the calculated business performance indicators with stored business objectives and constraints and to determine optimized business control parameters that correspond to resource allocation, operational planning, cost efficiency or performance improvement; a control and orchestration unit that is operationally linked to the data acquisition and integration unit, the business intelligence processing unit, and the optimization unit, wherein the control and orchestration unit is configured to coordinate the execution sequence, forward the results of the business intelligence analysis to the optimization unit, and manage feedback by incorporating the effects of applied optimized business control parameters into subsequent data acquisition cycles; and a communication interface that is connected to at least one processor and configured to exchange data and control signals with external enterprise systems and user terminals. [2] Enterprise management system according to claim 1, wherein the data acquisition and integration unit is further configured to apply semantic alignment rules that harmonize different identifiers for organizational units such as customers, suppliers, facilities, products and personnel, thereby enabling cross-domain correlation within the unified enterprise data representation. [3] Enterprise management system according to claim 1, wherein the data acquisition and integration unit is configured to receive both batch-oriented enterprise data sets and event-driven enterprise data streams and to incrementally update the unified enterprise data representation in response to newly received data. [4] Enterprise management system according to claim 1, wherein the business intelligence processing unit is configured to calculate enterprise performance indicators corresponding to financial efficiency, operational throughput, staff utilization, service quality and information technology resource consumption, using a common enterprise data schema. [5] Enterprise management system according to claim 1, wherein the business intelligence processing unit is further configured to manage historical versions of the calculated enterprise performance indicators to enable longitudinal performance comparison and detection of deviations from expected enterprise behavior. [6] Business management system according to claim 1, wherein the optimization unit is configured to model business objectives and constraints as stored parameter sets in the memory arrangement and dynamically adjusts the optimized business control parameters in response to changes in the calculated business performance indicators. [7] Business management system according to claim 1, wherein the optimization unit is configured to generate optimized business control parameters which include at least one of the following options: instructions for redistributing workload, values ​​for adjusting resource capacity, parameters for prioritizing planning or cost control thresholds. [8] Enterprise management system according to claim 1, wherein the control and orchestration unit is configured to enforce a dependency order between intelligence computation and optimization execution, such that the optimization is performed only after validation of the completeness and consistency of the unified enterprise data representation. [9] Enterprise management system according to claim 1, wherein the control and orchestration unit is further configured to monitor the results of the applied optimized enterprise control parameters by comparing subsequent enterprise performance indicators with previous indicators and triggering a recalculation when deviations exceed a stored tolerance value. [10] Enterprise management system according to claim 1, further comprising a visualization and interaction unit which is operationally connected to the at least one processor and is configured to present calculated enterprise performance indicators and optimized enterprise control parameters to authorized users by means of graphical and textual representations.

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