DE-202026101385-U1 - System for strategic decision analysis in institutional management

DE202026101385U1DE 202026101385 U1DE202026101385 U1DE 202026101385U1DE-202026101385-U1

Abstract

A computer-aided system for strategic decision analysis in institutional management, consisting of: a data acquisition unit configured to receive institutional information from academic departments, administrative offices, research departments, and financial management records of a public university via a communications network; a storage unit that is operationally connected to the data acquisition unit and configured to store the received institutional information in a structured digital repository; an electronically coupled processing unit configured to execute programmed instructions for converting institutional information into measurable strategic indicators representing academic performance, funding allocation, research productivity, and enrollment patterns; an analytical processing unit that is connected to the processing unit and configured to evaluate the measurable strategic indicators through computational procedures that determine the relationships between institutional variables and predefined strategic objectives; a scenario generation unit configured to generate multiple strategic planning scenarios by modifying decision parameters related to resource allocation, institutional priorities, and regulatory constraints; a user interaction unit consisting of a graphical display and input interface configured to present the generated strategic planning scenarios and the corresponding evaluation results to authorized administrative users; and a communication unit configured to transmit processed analysis results and information on strategic scenarios between the system and external information repositories linked to state education authorities and institutional databases, whereby the processing unit and the analytical processing unit jointly determine optimal strategic decisions for the public university based on the evaluation of the generated scenarios and the stored institutional information.

Assignees

PEDRAJA LILIANA
RODRIGUEZ EMILIO
RUFF CLAUDIO
RUIZ MARCELO
UNIV BERNARDO OHIGGINS
UNIV DE TARAPACA

Dates

Publication Date: 20260513
Application Date: 20260311
Priority Date: 20260311

Claims (10)

A computer-based system for strategic decision analysis in institutional management, consisting of: a data acquisition unit configured to collect institutional information from academic departments, administrative offices, research departmental and financial management documents of a public university are received via a communications network; a storage unit operationally linked to the data acquisition unit and configured to store the received institutional information in a structured digital repository; an electronically coupled processing unit configured to execute programmed instructions for converting the institutional information into measurable strategic indicators representing academic performance, funding allocation, research productivity, and enrollment patterns; an analytical processing unit linked to the processing unit and configured to evaluate the measurable strategic indicators through computational procedures that determine the relationships between institutional variables and predefined strategic objectives; a scenario generation unit configured to generate multiple strategic planning scenarios by modifying decision parameters related to resource allocation, institutional priorities, and regulatory constraints; A user interaction unit consisting of a graphical display and input interface configured to present the generated strategic planning scenarios and the corresponding evaluation results to authorized administrative users; and a communication unit configured to transmit processed analysis results and information on strategic scenarios between the system and external information repositories connected to state education authorities and institutional databases, with the processing unit and the analytical processing unit jointly determining optimal strategic decisions for the public university based on the evaluation of the generated scenarios and the stored institutional information.
System according Claim 1 The data acquisition unit remains configured to continuously collect institutional information from multiple heterogeneous data sources, including academic course administration records, research funding databases, financial budget records, student databases, and infrastructure utilization reports. The data acquisition unit performs automatic synchronization with these data sources via the communication network to ensure that the storage unit always has access to current institutional information for strategic analysis.
System according Claim 1 , wherein the processing unit is configured to execute programmed instructions that transform raw institutional information stored in the storage unit into normalized institutional variables through data filtering, validation, classification and transformation, so that the resulting variables represent standardized indicators of university performance, including teaching capacity, research output, financial sustainability and student progress metrics.
System according Claim 1 , wherein the analytical processing unit is configured to determine correlations between the standardized institutional variables by performing computer-aided evaluation procedures, analyzing the relationships between the development of academic programs, the level of research productivity, the distribution of financial resources, and student enrollment patterns in order to identify strategic opportunities and operational constraints that affect institutional development.
System according Claim 1 The scenario generation unit is configured to produce multiple simulated strategic planning alternatives by adjusting parameters representing resource allocation policies, faculty recruitment priorities, research funding allocation strategies, and infrastructure development plans. The simulated alternatives are then processed by the analytical processing unit to estimate the predicted institutional outcomes for each alternative.
System according Claim 1 , wherein the user interaction unit is configured to provide a graphical representation of the measurable strategic indicators and the predicted institutional outcomes through visual analytical representations including charts, comparative performance displays and interactive data visualization structures that enable administrative users to review the impact of alternative strategic decisions prior to their implementation.
System according Claim 1 , wherein the communication unit is configured to securely transmit institutional information and analytical results between the system and external educational data repositories maintained by government regulatory bodies, accreditation bodies, and public funding agencies, and wherein the communication unit further employs encrypted data transmission protocols and access authentication Security procedures have been implemented to protect sensitive institutional information.
System according Claim 1 , wherein the storage unit also manages historical institutional decision records including past strategic policies, resource allocation decisions, changes in academic programs and research investment strategies, the stored historical records being accessible to the processing unit for comparison with current institutional variables.
System according Claim 8 , wherein the processing unit is configured to analyze the stored historical institutional decision data sets together with the current institutional variables to identify long-term institutional development trends, including growth patterns of enrollments, trends in faculty productivity, development of financial expenditures, and development of research outputs over time.
System according Claim 1 , wherein the analytical processing unit is configured to generate predictive institutional forecasts by applying computer-aided modeling procedures to the standardized institutional variables stored in the storage unit, so that the expected future conditions of the public university, including the forecasted student numbers, the expected research funding and the expected infrastructure needs, can be determined prior to the final establishment of strategic decisions.

Description

AREA OF INVENTION The present invention relates generally to the field of institutional management systems and digital decision support technologies. In particular, it relates to a system for the design, structuring, and implementation of strategic decision-making processes at public universities. The invention provides a computer-based platform that processes institutional data, policy variables, and strategic indicators to support university management in formulating evidence-based strategies and management decisions. BACKGROUND OF THE INVENTION Public universities operate within complex governance structures characterized by legal requirements, academic autonomy, diverse stakeholder groups, and public accountability. Strategic decisions in these institutions often require balancing competing objectives such as academic quality, financial sustainability, research productivity, and societal impact. Traditional decision-making processes at universities are often fragmented and based on decentralized committees, manual data analysis, and non-integrated planning processes. Consequently, decision outcomes frequently lack systematic evaluation, predictive analysis, and coordinated implementation. Public universities create public goods such as knowledge generation, social mobility, cultural development, and scientific innovation. These outcomes necessitate long-term strategic planning based on precise institutional indicators. However, existing governance instruments do not adequately reflect the specific structural and operational characteristics of public universities. The lack of a unified analytical platform often leads to delayed responses to policy changes, inefficient resource allocation, and a lack of transparency in strategic planning. Therefore, there is a need for an integrated online system that organizes institutional variables, processes strategic indicators, and guides leadership teams through structured decision-making processes. Such a system should include computer-aided methods, predictive models, and digital interfaces that translate complex university data into actionable strategic insights. Public universities operate in complex institutional environments characterized by diverse stakeholders, public accountability, regulatory oversight, and rapidly evolving academic and technological landscapes. Strategic decision-making in these institutions encompasses planning, resource prioritization, evaluation of institutional performance, and response to emerging educational, social, and economic demands. Traditionally, strategic planning at public universities has relied on traditional administrative processes, including manual data analysis, committee reviews, and periodic institutional reporting. While these methods have played a vital role in shaping university policy, their capacity to process large volumes of institutional data or support real-time decision-making is often limited. As universities grow and their remit expands, those in charge must make increasingly complex decisions regarding academic programs, funding, research investment, and infrastructure development. The growing demand for transparency, efficiency, and evidence-based governance necessitates more advanced technological systems capable of supporting structured strategic decision-making processes. Many universities' existing institutional planning systems are based on decentralized information management structures. Departments, research units, finance departments, and administrative departments often maintain separate databases and information repositories. While these systems can effectively handle certain operational tasks, they rarely integrate data from across the entire institution. Consequently, decision-makers often face challenges when seeking to analyze institutional performance holistically. Data fragmentation makes it difficult to identify relationships between variables such as student numbers, faculty productivity, research funding, and financial sustainability. Without integrated analytical tools, those responsible must manually compile information from disparate sources, increasing the risk of inconsistencies and delays in strategic planning processes. Universities have implemented various digital management systems to optimize administrative and academic processes. Enterprise resource planning (ERP) systems, for example, are frequently used to manage financial data, human resources, and student information. These systems offer centralized databases and automated workflows that increase operational efficiency. However, they are primarily designed for transaction management and less so for strategic decision-making. They focus on capturing and organizing institutional activities but typically do not offer advanced analytical models for evaluating long-term strategic goals or simulating policy impacts. Therefore, university management often relies on external analytical tools or manual evaluation processes to