5 IT in Decision-Making Flashcards

1
Q

What is IT in decision-making?

A

The use of technology, digital tools, and data analytics to support and improve business decisions.

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2
Q

Why is IT important in decision-making?

A

✅ Eliminates reliance on intuition
✅ Uses real-time data for accuracy
✅ Helps businesses optimize processes and reduce risks

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3
Q

What gives companies a competitive advantage?

A

IT-driven decision-making enables faster and more precise choices.

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4
Q

What is DDDM?

A

A process of making business decisions based on data analysis instead of intuition.

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5
Q

What are the key steps of DDDM?

A

1️⃣ Data Collection – Gathering information from transactions, customers, and digital sources.
2️⃣ Data Processing – Cleaning and organizing data.
3️⃣ Data Analysis – Using AI, statistics, and BI tools to identify patterns.
4️⃣ Decision Implementation – Applying insights to business strategy.

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6
Q

Pros & Cons of DDDM?

A

✅ Improves accuracy, efficiency, and trend prediction
❌ Requires high-quality data, can be costly, and has privacy risks

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7
Q

What are key technologies in DDDM?

A

✔ Big Data Analytics – Processes large datasets for real-time insights
✔ AI & Machine Learning (ML) – Predicts trends and automates analysis
✔ Cloud Computing – Secure storage and remote data access
✔ Internet of Things (IoT) – Gathers real-time data from devices
✔ Blockchain – Ensures security and data integrity

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8
Q

What are the steps to implement DDDM?

A

1️⃣ Define business objectives
2️⃣ Collect & integrate data
3️⃣ Ensure data quality
4️⃣ Use Business Intelligence (BI) tools
5️⃣ Train employees
6️⃣ Continuously monitor & optimize

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9
Q

What are BI tools?

A

Software applications that analyze data and generate insights through dashboards, reports, and visualizations.

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10
Q

Examples of BI Tools

A

📊 Power BI – Microsoft’s analytics tool, great for standardized reporting
📈 Tableau – Advanced data visualization for large datasets
📊 Google Data Studio – Free tool for interactive reports

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11
Q

How do BI tools help decision-making?

A

✅ Improve data visualization
✅ Automate reporting
✅ Enable real-time tracking of trends

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12
Q

What are the challenges of BI tools?

A

❌ Requires expertise to use effectively
❌ High initial cost for advanced tools
❌ Data security concerns

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13
Q

How does Netflix use DDDM?

A

✔ Personalized Recommendations – AI suggests content based on viewing habits
✔ Content Production – Data-driven decisions on which shows to greenlight
✔ User Engagement Analysis – Tracks pause & rewatch behavior
✔ Dynamic Pricing Models – Adjusts subscription pricing based on data
✔ Marketing Optimization – Uses analytics to refine ad campaigns

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14
Q

How does BI help financial decision-making?

A

✔ Budget Forecasting – Predicts revenue and expenses
✔ Fraud Detection – Uses AI to identify suspicious transactions
✔ Risk Assessment – Evaluates financial stability
✔ Investment Optimization – Analyzes market trends for smarter decisions
✔ Automated Reporting – Reduces human errors in financial statements

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15
Q

How does AI assist HR?

A

✔ Automates resume screening
✔ Predicts which candidates will succeed
✔ Tracks employee performance

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16
Q

What are top cybersecurity risks?

A

🚨 Data Breaches – Unauthorized access to sensitive information
🚨 AI Manipulation – Hackers can trick AI-driven decisions
🚨 Cloud Security Issues – Storing data remotely increases risks

17
Q

How does IT reduce cybersecurity risks?

A

✔ AI detects unusual network activity
✔ Automated fraud detection in banking
✔ Predictive algorithms identify cyber threats

18
Q

How does Amazon use IT for decision-making?

A

✔ AI-driven recommendations – Suggests products based on browsing history
✔ Dynamic Pricing – Adjusts product prices in real-time
✔ Inventory Optimization – Uses predictive analytics for stocking decisions
✔ AI-powered chatbots – Automates customer support

19
Q

How does ML improve business decisions?

A

✔ Automated Data Analysis – Processes massive datasets
✔ Predictive Analytics – Forecasts customer behavior & risks
✔ Anomaly Detection – Identifies fraud & cybersecurity threats
✔ Personalization – Tailors content for users (Netflix, Spotify)

20
Q

What is IT Governance?

A

Ensures IT aligns with business goals while managing risks and compliance.

21
Q

Why is IT Governance important?

A

✔ Prevents cybersecurity threats
✔ Ensures compliance with laws like GDPR & CCPA
✔ Aligns IT investments with company strategy

22
Q

What is predictive analytics?

A

AI-powered forecasting using past data to predict future trends.

23
Q

Business applications of predictive analytics?

A

✔ Sales forecasting
✔ Customer churn prevention
✔ Inventory management
✔ Fraud detection

24
Q

Future Trends in IT Decision-Making

A

🔮 AI will assist but not replace human decision-making
🔮 5G & IoT will enable real-time decision-making
🔮 Ethics & regulation in AI will become more critical