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Information Management - Coggle Diagram

- - - - o Technical: hardware, software, apps, platforms.
      - o Organizational: policies, workflows, governance, roles.
      - o Human: skills, culture, interpretation, motivation.
  - - - o Helps detect opportunities, boost efficiency, and drive innovation.
      - o Needs to be timely, reliable, relevant, and accessible.
      - o Requires supportive culture and alignment with strategy.
  - - - o Information = structured data with meaning.
      - o Knowledge = applying info with experience and critical thinking.
      - o Info feeds knowledge; knowledge gives direction. You need both tech and culture for real value.
  - - - o Info overload: too much, tough to filter.
      - o Quality/sanity: fake news, misinformation.
      - o Security/privacy risks.
      - o System interoperability issues.
      - o Access inequality = digital divide.
  - - - o What it means: managing info (collect, store, use) to support strategy—not just filing.
      - o How it evolved: archives → digital systems → today’s big data, AI, digital transformation.
      - o Three approaches: tech (infrastructure), organizational (flows/processes), strategic (info as intangible asset).
- - - - o DSS = data + models + visuals to explore scenarios.
      - o Expert systems = rule-based “expert” advice; sometimes with AI.
      - o Use wisely—not replacing judgment but boosting it.
  - - - o Systems must serve business strategy, not be random gadgets.
      - o Use models like Strategic Alignment (Henderson-Venkatraman).
      - o Measure impact, not just tech functionality; involve leadership as strategic partners.
  - - - o TPS (transactional) – daily records: sales, payroll.
      - o MIS – formatted reports for mid-level managers.
      - o OAS – office tools: email, calendars, docs.
      - o DSS / EIS – decision tools: “what ifs” and executive dashboards.
      - o ERP – integrates everything: finance, HR, production.
- - - - o Privacy as a right: GDPR and Latin American versions.
      - o Rights like ARCO (Access, Rectify, Cancel, Object).
      - o Importance of trust; compliance avoids fines and reputational damage.
  - - - o Data isn’t neutral—use with fairness, transparency, responsibility.
      - o Surveillance, algorithm bias, data misuse = ethical traps.
      - o Foster culture, not just rules—train, discuss, embed values.
  - - - o Confidentiality: only the right people see data (encryption, auth).
      - o Integrity: data stays accurate, audited, backed up.
      - o Availability: data and systems always accessible (redundancy, recovery).
  - - - o Defend against breaches (malware, phishing) via firewalls, MFA, AI detection.
      - o Governance = policy, accountability, data lifecycle control.
      - o Security + governance = organizational resilience and reputation.
- - - - o From email and shared docs to CRM, ERP, automation, AI.
      - o Enhances efficiency and collaboration.
      - o But be ready for resistance, security risks, obsolescence.
  - - - o Features: version control, e signatures, metadata, workflows.
      - o Examples: SharePoint, Alfresco, Google Workspace.
      - o Benefits: transparency, memory, speed. But needs process review and training.
  - - - o Cloud = scalable, cost efficient, flexible.
      - o Big Data = massive insights + AI-driven innovation.
      - o Transformation = redesigning culture/structure, not just digitizing.
      - o Risks: vendor lock-in, security, regulation, leaving others behind.
  - - - o We’re ruled by data, networks & algorithms—not manual labor anymore.
      - o Economy based on cloud, platforms, e commerce, etc.
      - o Must be agile, innovative, data-smart. Watch for privacy, fairness, and tech monopolies.