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Digital Environment, Infrastructure, and Information Systems - Coggle…
Digital Environment, Infrastructure, and Information Systems
Digital Environment and Technological Infrastructure
Information Society and Digital Economy
Information & knowledge → key drivers of development.
Digital economy → dematerialized products, new business models.
Challenges: digital divide, privacy, tech dependency, data monopolies.
Organizational Information System Architecture
Level
Infrastructure (hardware, software, networks).
Data (databases, metadata, interoperability).
Applications (ERP, CRM, CMS, BI).
Governance (policies, standards, sustainability).
Key: flexibility, integration, alignment with strategic goals.
Applied ICTs
Tools: email, video conferencing, ERP, CRM, AI, AR, data analytics.
Impact: efficiency, collaboration, decision-making.
Challenges: obsolescence, resistance to change, security issues.
Digital Platforms for Document Management
Functions: metadata, version control, e-signatures, traceability.
Examples: SharePoint, Alfresco, OpenText, Google Workspace.
Benefits: efficiency, transparency, institutional memory.
Requirements: training, classification policies, change management.
Cloud, Big Data, and Digital Transformation
Cloud: scalability, cost reduction, collaboration.
Big data: large-scale analysis, patterns, predictions.
Digital transformation: structural redesign, innovation, data culture.
Challenges: cybersecurity, vendor dependency, data protection regulations.
Information Systems and Decision Support
Types and Functions of Information Systems
TPS → basic operations (sales, payroll).
MIS → reports & control for middle management.
OAS → office automation.
DSS & EIS → strategic analysis, scenarios, top-level decision-making.
ERP → total integration of organizational functions.
Decision Support Systems (DSS) and Expert Systems
DSS → simulation, “what-if” analysis, scenario planning.
Expert systems → rules + specialized knowledge, automated recommendations.
Advantages: reduce errors, faster decisions.
Risks: dependency, outdated knowledge base, data quality issues.
Database Management and Information Processing
Purpose: store, organize, and retrieve data.
Processes: cleaning, transforming, analyzing, data mining.
Models: relational (SQL) and non-relational (NoSQL).
Trends: cloud databases, big data ecosystems.
Performance Indicators and Organizational Intelligence
Indicators: financial, operational, quality, strategic.
Organizational intelligence: interpret data, learn, anticipate environmental changes.
Strategic Alignment of Information Systems
Technology = strategic partner, not just technical support.
Models: Strategic Alignment Model (Henderson & Venkatraman).
Keys: coherence between business & IT strategy, clear KPIs, digital leadership.
Goal: organizational value, innovation, sustainability.
Fundamentals of Information Management
Concept
Processes, methods, and technologies used to collect, organize, and utilize information as a strategic resource.
Evolution
Archival science & librarianship → document control.
Information systems → massive data processing.
Digital era → big data, AI, digital transformation.
Approaches
Technical: technological infrastructure.
Organizational: internal processes and information flows.
Strategic: competitive advantage and long-term planning.
Information and Knowledge
Information: Processed data with meaning and utility.
Knowledge: Interpretation + experience + application.
Relationship
Information feeds knowledge.
Knowledge gives value to information.
Management focus
Information → systems and technologies.
Knowledge → culture, learning, and collaboration.
Dimensions of Information Management
Technical: Hardware, software, databases, security.
Organizational: Standards, processes, policies, data governance.
Human: Competencies, informational culture, motivation, collaboration.
Information as a Strategic Resource
Advantages
Detect opportunities and threats.
Improve efficiency and reduce errors.
Drive innovation.
Key conditions
Timely, reliable, relevant, and accessible.
Strategic management
Aligned with organizational strategy.
Based on evidence and data analysis.
Challenges of the Global Information Environment
Information overload: difficulty filtering and validating.
Information quality: fight against fake news and misinformation.
Security & privacy: cyberattacks, GDPR, data governance.
Interoperability: integration of systems and databases.
Equitable access: digital divide, social inclusion, information justice.