Information Management - Lecture 2 - E-Business, E-Commerce, The Cloud and Business Intelligence

Introduction to e-Business and e-Commerce

  • E-Business: Utilizing web technology to improve various aspects of a business.

    • Improve business processes: Streamlining operations for efficiency.

    • Example: Automating invoice processing to reduce manual effort and errors.

    • Enhance communication: Improving interactions with partners, suppliers, vendors, and customers.

    • Example: Using a CRM system to manage customer interactions and feedback.

    • Perform business transactions securely: Ensuring secure online transactions.

    • Example: Implementing encryption protocols to protect customer payment data.

    • Potential areas:

    • Production process: Managing procurement, ordering stock, payment, and supplier communication.

      • Example: Using an online portal for suppliers to submit bids and track orders.

    • Customer-focused processes: Enhancing marketing, selling, customer support, order, and payment processing.

      • Example: Implementing a chatbot on an e-commerce site to provide instant customer support.

    • Internal management processes: Improving training, recruitment, and employee services.

      • Example: Using an online learning platform to train employees on new software.

  • E-Commerce Definition: Any exchange of information or business transaction facilitated by the use of information and communication technologies.

    • Extends beyond home computer users: Involves various entities beyond individual consumers.

    • Example: Businesses using EDI (Electronic Data Interchange) for transactions.

    • Primarily involves companies and public authorities: Focuses on transactions between organizations.

    • Example: Government agencies using online portals for procurement.

    • Encompasses a vast variety of systems: Includes diverse platforms and tools.

    • Example: Mobile commerce, social commerce, and IoT-based commerce.

  • Types of E-commerce Activities

    • B2B: Transactions between businesses.

    • Example: A manufacturer purchasing raw materials from a supplier through an online marketplace.

    • B2C: Companies selling to customers.

    • Example: An online retailer selling clothes directly to consumers.

    • B2G: Transactions between businesses and public sector organizations.

    • Example: A construction company bidding for a government infrastructure project through an online portal.

    • C2C: Transactions between private individuals.

    • Example: Selling used goods on eBay or Craigslist.

  • E-Commerce Systems

    • E-shops and e-malls: Online retail platforms.

    • Example: Amazon, Shopify stores.

    • E-procurement: Online purchasing systems for businesses.

    • Example: SAP Ariba, Coupa.

    • E-auctions: Online auction platforms.

    • Example: eBay, online government auctions.

    • Content providers: Deliver information online.

    • Example: Netflix (streaming movies), news websites.

    • Market segmenters and infrastructure providers: Support e-commerce operations.

    • Example: Payment gateways (PayPal), web hosting services (AWS).

    • Specialist service providers: Offer specific e-commerce-related services.

    • Example: SEO agencies, e-commerce consultants.

  • Drivers for Using the Internet for Business

    • Cost reduction: Lower operational expenses.

    • Example: Reduced printing and mailing costs by using email for communications.

    • Flexibility: Ability to adapt quickly to changing market conditions.

    • Example: Easily updating product catalogs and pricing on an e-commerce site.

    • Protecting investment: Ensuring long-term viability.

    • Example: Cloud-based solutions that scale with business growth.

    • Connectivity: Enhanced communication with stakeholders.

    • Example: Using video conferencing tools for remote meetings.

    • Low risk: Reduced initial capital expenditure.

    • Example: Using SaaS applications instead of purchasing on-premise software.

    • Improved customer service: Providing better support and engagement.

    • Example: 24/7 customer support through chatbots.

    • Globalization: Expanding market reach internationally.

    • Example: Selling products to customers worldwide through an e-commerce platform.

  • Relationship between E-commerce and E-business

    • E-business encompasses a broader range of activities than e-commerce: Includes all aspects of running a business online.

    • Example: E-business includes supply chain management, customer relationship management, and enterprise resource planning.

    • E-commerce is divided into buy-side and sell-side activities.

    • Buy-side e-commerce focuses on procurement from suppliers.

      • Example: Using e-procurement systems to automate the purchasing process.

    • Sell-side e-commerce involves sales to customers.

      • Example: Selling products through an online store.

    • E-business includes internal organizational processes and functional units.

    • Example: Human resources using online portals for employee benefits management.

  • Benefits of E-business and E-Commerce

    • Tangible Benefits:

    • Increased sales: Generating new leads, markets, repeat customers, and cross-selling.

      • Example: Targeted email marketing campaigns leading to higher conversion rates.

    • Marketing cost reductions: Reducing customer service time, online sales, and lower printing/distribution costs.

      • Example: Switching from traditional advertising to online advertising.

    • Supply-chain efficiencies: Reducing inventory, increased supplier competition, and shorter order cycle times.

      • Example: Implementing just-in-time inventory management.

    • Administrative cost reductions: Streamlining processes like recruitment and invoice payment.

      • Example: Using online payroll systems.

    • Intangible Benefits:

    • Enhanced corporate image and brand: Building a positive online reputation.

      • Example: Active social media presence and positive customer reviews.

    • Rapid marketing communications & PR: Quickly disseminating information.

      • Example: Announcing new product launches through email and social media.

    • Faster product development lifecycle: Responding quickly to market needs.

      • Example: Gathering customer feedback through online surveys and using it to improve products.

    • Improved customer service: Providing better online support.

      • Example: Offering live chat and personalized recommendations.

    • Learning for the future: Staying ahead of technological advancements.

      • Example: Investing in training for employees on new e-commerce technologies.

    • Meeting customer expectations: Having a strong online presence.

      • Example: Ensuring a user-friendly and mobile-responsive website.

    • Identifying and supporting partners better: Strengthening relationships.

      • Example: Using online portals for partner communication and collaboration.

    • Improved management of marketing and customer information: Leveraging data analytics.

      • Example: Tracking customer behavior on the website to personalize marketing efforts.

    • Customer feedback on products: Gathering insights for product improvement.

      • Example: Collecting and analyzing customer reviews on product pages.

The Cloud

  • What is Cloud Computing?

    • Services and solutions delivered or consumed in real-time over the Internet.

    • Example: Accessing Google Docs from any device with an internet connection.

    • A delivery model of computing services.

    • Example: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

    • Enables real-time development, deployment, and delivery of a broad range of products and services.

    • Example: Developing and deploying a web application using AWS.

  • Why is the Cloud important?

    • Increasingly important in the technology landscape: Driving innovation and efficiency.

    • Example: Businesses migrating their IT infrastructure to the cloud to reduce costs and improve scalability.

    • Considered a top technology trend: Shaping the future of IT.

    • Example: More companies adopting cloud-first strategies.

    • Changes how businesses operate: Enabling new business models and opportunities.

    • Example: Remote work becoming more feasible with cloud-based collaboration tools.

  • Impact of Cloud for Business

    • Established companies: IBM, Google, SAP, Oracle, Microsoft, and Amazon are heavily involved in cloud services.

    • Example: Amazon Web Services (AWS) providing a wide range of cloud services.

    • Challengers: Salesforce, Workday, Box, Servicenow, Xero, and Netsuite also play a significant role.

    • Example: Salesforce offering cloud-based CRM solutions.

  • What is SaaS?

    • SaaS stands for Software as a Service.

    • It involves delivering applications over the Internet.

    • Example: Using Microsoft Office 365 for email, document editing, and collaboration.

    • Key Characteristics:

    • No installation needed: Access applications directly through a web browser.

      • Example: Using Gmail without installing any software.

    • Always up to date: Providers handle updates and maintenance.

      • Example: Automatic updates for Google Workspace apps.

    • Low upfront costs: Typically subscription-based pricing.

      • Example: Paying a monthly fee for Adobe Creative Cloud.

    • Accessible from anywhere: Access applications from any device with an internet connection.

      • Example: Accessing Salesforce from a laptop, tablet, or smartphone.

    • Scales easily with business needs: Easily adjust resources as needed.

      • Example: Scaling up storage space on Dropbox.

  • Characteristics of the Cloud

    • Cloud services differ from on-premise solutions.

    • Important characteristics:

    1. Ease of use: Focuses on simplifying user experience.

      • Example: User-friendly interfaces and intuitive design.

    2. Specific for one purpose: Cloud applications often target a specific need.

      • Example: A cloud-based accounting software designed specifically for small businesses.

    3. Simplicity: Offers straightforward solutions, avoiding unnecessary complexity.

      • Example: Simple setup and configuration processes.

    4. Collaboration: Cloud facilitates teamwork.

      • Example: Google Docs allowing multiple users to edit a document simultaneously.

    5. Mobile Access: Enables access from various devices.

      • Example: Accessing cloud-based CRM from a mobile phone.

    6. Customer Success Management: Focuses on renewals and upsells for revenue generation.

      • Example: Providing dedicated support and training to ensure customer satisfaction.

  • How does the cloud change business?

    • Uses process modeling domain as an example.

    • Compares traditional tools like ARIS with cloud-based tools like Signavio.

    • ARIS: Over 20 years old with a large community and user base.

      • Example: Used for comprehensive business process analysis and design.

    • Signavio: Cloud-based, founded in 2009, growing rapidly with numerous customers.

      • Example: Offers collaborative process modeling and automation features.

Business Intelligence

  • Business Intelligence for Decision Making

    • Applying tools and techniques to internal and external data.

    • Example: Analyzing sales data and market trends to identify growth opportunities.

    • Aims to facilitate a better understanding of the environment and operations.

    • Example: Using dashboards to monitor key performance indicators (KPIs).

    • Intended to improve the decision-making process.

    • Example: Making data-driven decisions rather than relying on intuition.

  • Key Features of Business Intelligence

    • Internal and external inputs: Combining data from various sources.

    • Example: Integrating sales data, customer feedback, and market research.

    • Structured and unstructured data: Processing diverse data formats.

    • Example: Analyzing both quantitative data (sales figures) and qualitative data (customer reviews).

    • Improved support for creating business strategy: Aligning BI with strategic goals.

    • Example: Using BI insights to develop a new market entry strategy.

    • Gaining competitive advantage: Identifying opportunities and threats.

    • Example: Monitoring competitor activities through BI tools.

    • Improving support for decision-making: Providing actionable insights.

    • Example: Using BI dashboards to make real-time decisions.

    • Increasing the use of performance indicators: Monitoring key metrics.

    • Example: Tracking sales, customer satisfaction, and operational efficiency.

    • Elements of BI systems include: Data Warehouse, Data mining, OLAP, Dashboard, Business Activity Monitoring, and Analytics.

  • Business Intelligence in Action

    • Rolls-Royce uses business intelligence for various operational aspects.

    • Example: Optimizing maintenance schedules for aircraft engines based on real-time performance data.

  • Tools and Techniques for Business Intelligence

    • Decision support systems: Assisting in decision making.

    • Example: Using a DSS to evaluate different investment scenarios.

    • Group decision support: Facilitating collaborative decision making.

    • Example: Using a GDSS to gather input from multiple stakeholders.

    • Document management systems: Storing and organizing information.

    • Example: Using a DMS to manage contracts and reports.

    • Online analytical processing (OLAP): Analyzing multidimensional data.

    • Example: Using OLAP to analyze sales data by region, product, and time.

    • Data warehousing: Storing and managing large volumes of data.

    • Example: Using a data warehouse to consolidate data from various sources.

    • Data mining: Discovering patterns and relationships in data.

    • Example: Using data mining to identify customer segments.

    • Digital dashboards: Providing a visual overview of key metrics.

    • Example: Using a dashboard to monitor sales performance.

    • Expert systems: Computer system emulating human expert decision making, now revived through Robotic Process Automation.

    • Example: Using an expert system