Data Analysis and IT Systems Quiz

Unit 1: Information Technology Systems - Strategy, Management and Infrastructure

• The unit covers Information Technology Systems, Strategy, Management, and Infrastructure
• The lecturer is Daw Khin Thuzar Tun from GUSTO College

B3: Using and Manipulating Data

• Learning aims include exploring how IT structure meets organizational needs, understanding how organizations use data and information, and developing policies for IT use within an organization.
• Key content areas for learning aim B include data and information in an organization, online communities, and using and manipulating data

Online Services

• The features of online services cater to individual and organizational needs.
• Internet use assists individuals and organizations.
• Online presence has implications for data.
• Examples of online services include retail, financial services, education and training, news and information, entertainment and leisure, productivity, and booking systems.

Features and Implications of Online Services

• Retail: Online shopping from various shops, with customized product delivery and the availability of unregulated products.
• Financial services: Regulated services like mortgages, advice, investments, banking, and loans, but global access poses authenticity issues, and companies like PayPal are influential.
• Education and training: Increased access to CPD courses and university courses online. Technological advancement enables students to conduct research online. However, there are fake research and unregulated online courses.
• News and information: An overwhelming amount of news content is available due to ease of access and technology. This can impact employee productivity and necessitate verifying the accuracy and avoiding bias in news.
• Entertainment and leisure: Smart phones, Smart TVs, and on-demand content have increased entertainment options available 24 hours a day and impact leisure time. Safety locks for channels are available. Easier access to gambling.
• Productivity: Remote desktop tools, flexible working hours, and cloud storage aid productivity. However, work intrusion into personal life is a potential concern. Social media influences work productivity.
• Booking systems: Digital bookings replace physical tickets and confirmations. While online booking platforms offer convenient searching and comparing, security risks remain.

The Uses, Impact, and Implications of Online Services

• Transactional data: Recorded data from transactions.
• Targeted marketing: Businesses use transactional data to target marketing.
• Collaborative working: The impact online services have on individuals working together.

Impact on an Organization

• Technology's influence on organizations, encompassing online shopping, social media, financial transactions, travel arrangements, healthcare consultations, internet dating.
• The impact of these changes on businesses.

Keywords

• CAD: Computer-aided design software for detailed technical drawings of buildings/vehicles.
• QR codes: Quick response codes for direct links to websites and payment processing.
• Viral: Unsolicited and infectious marketing tactics on social media.

Features and Implications of IT Systems used by Organizations

• Reasons for the significant increase in IT systems use over the past decade.
• How the internet improves business functions.
• Common tools and systems used by businesses (stock controls, data logging, data analysis, general office tasks, creativity, advertising, manufacturing, security, etc.).

Keywords – Systems used by organizations

• CRM: Customer Relationship Management system.
• MIS: Management Information System.
• SAP: Systems, Applications, and Products is a data processing system.
• CAM: Computer-aided manufacturing for precision and accuracy in manufacturing.

The Impact of using IT Systems

• User experience.
• Employee and customer needs.
• Cost.
• Implementation.
• Replacement or integration with existing systems.
• Productivity.
• Work practices.
• Staff training needs.
• User support.
• Security.

Using and Manipulating Data

• Data: Information collected or produced by an organization (primary data). Information collected by another source (secondary data), for example, research articles, government reports.
• Data source: Origin of data and how it emerges.
• Data transformation: Raw data needs context and analysis to be useful.

How is Data Collected?

• Methods for collecting data include surveys, questionnaires, focus groups, and interviews.
• Quantitative data: Numerical data, generating statistics
• Qualitative data: Gaining understanding and underlying reasons.

Data Accuracy

• Importance of data accuracy.
• Consequences of inaccurate data.
• Methods for ensuring accurate data input, verification.
• Data validation.

Methods to Extract and Sort Data

• Data extraction from raw format (databases).
• Data sorting (e.g., alphabetical).
• Data filtering criteria.

Numerical Data Modeling

• Numerical modeling: Creating mathematical models for actions like forecasting sales.
• Data modeling: Conceptualizing the meaning of data in databases, aiding evaluation.
• Presenting data: Displaying data in reports, forms, and graphical representations.

Exam Style Question

• John operates four supermarkets with 150 staff and 10 warehouse staff, utilizing IT systems including PCs, data and numerical modelling, and an EPOS system.

Implications of User Interfaces and Data Collection and Processing Systems

• Ease of use
• Accessibility
• Error reduction
• Intuitiveness
• Functionality
• Performance with usability and cost
• Compatibility