Key Technologies Driving Business and Finance
Key Technologies Driving Business and Finance
Learning Objective
Identify key technologies that are driving business and their impact on the finance function.
Introduction
Role Transformation: In the last 20 years, the role of the finance professional has drastically changed due to technology.
Integral Component: Technology is now essential for the majority of tasks related to business and finance.
Importance of Understanding Technology: Professionals in accountancy and finance must understand prevailing technologies to add value to their businesses.
Convergence of Technologies: Some believe that the convergence of these technologies may lead to significant transformations, heralding "the fourth industrial revolution."
Key Technologies Affecting Business and Finance
Technology is changing business models and processes, including finance functions. Below are the key technologies impacting these changes:
Cloud Computing
Definition: The practice of using remote servers, typically owned by third parties, to store, manage, and process data and host software applications.
Benefits:
Eliminates the need for businesses to operate their own servers.
Reduces staffing needs for server support.
Offers backup and replication services that maintain business continuity during outages or disasters.
Growth Trend: Accelerated by mobile technology and the Internet of Things (IoT).
Examples: Businesses use cloud service providers like Dropbox, Box, and Google, allowing collaboration and remote access to files. Achieves efficiency and cost savings by reducing on-site server needs.
Mobile Technology
Access Anytime, Anywhere: Employees can access systems and data remotely using internet-enabled mobile devices (smartphones, tablets).
Integration with Cloud: Mobile applications compatible with cloud-based software, allowing real-time updates and access to financial data.
Real-world Example: Most accountancy software providers now have mobile applications for convenient access to financial data.
Internet of Things (IoT)
Definition: Connectivity of non-computer items (cars, home appliances, medical equipment) to the internet and among devices.
Opportunities: Enables innovative possibilities like connecting cars to access calendars and notify of delays.
Example: Connected photocopiers can communicate for service needs.
Vision of Smart Cities: Utilizes IoT for better urban management and resource allocation.
Shipping Industry Example: Shipping companies use sensors to provide real-time data on operations and efficiency.
Process Automation
Definition: The automation of recurring business processes through software integration, known as business process automation or robotic process automation (RPA).
Benefits: Frees up finance professionals for more strategic tasks and embraces continuous accounting models.
Impact: Shifts accounting processes to real-time and continuous operation, resulting in real-time reporting and analytics.
Example: Mortgage lenders are adopting digital workflows and automated systems for application processing.
Robotics
Definition: Programmable machines that interact physically with their environment.
Applications: Previously limited to manufacturing; expanding into non-industrial sectors like hospitals and offices.
Example: In manufacturing, robots efficiently perform repetitive tasks like welding, reducing human error and fatigue.
3-D Printing
Definition: A process to create three-dimensional objects layer by layer from digital files.
Uses: Wide applications from manufacturing to healthcare, including the production of prosthetics at significantly reduced costs.
Examples: Williams F1 uses 3-D printing for wind tunnel testing parts; Open Bionics produces affordable 3-D printed prosthetics.
Autonomous Vehicles
Definition: Vehicles that can operate without human control, including self-driving cars and drones.
Adoption: Seen in test environments like Singapore and Pittsburgh; growing interest from major automotive manufacturers.
Applications:
Agriculture for monitoring crops.
Emergency services for situational awareness.
Media coverage for capturing aerial footage.
Artificial Intelligence (AI)
Definition: Computers performing tasks traditionally requiring human intelligence, emphasizing learning and data analysis.
Applications: Customer interactions, sales forecasting, process automation, and data-driven insights.
Example: AI automates routine accounting tasks, enhancing efficiency and accuracy in processing transactions.
Generative AI (Gen AI)
Definition: AI creating new content by learning from existing data.
Applications:
Text-to-Text Generation: Content creation and dialogue systems.
Speech-to-Text Conversion: For accurate transcriptions.
Text-to-Speech Synthesis: Generating natural-sounding speech from text inputs.
Advantages: Increased productivity and innovation.
Disadvantages: Ethical concerns and resource intensity.
Big Data and Data Analytics
Big Data: Refers to large datasets that traditional data processing applications cannot manage effectively. Characteristics include the four Vs: Volume, Velocity, Variety, and Veracity.
Data Analytics: Tools that analyze large data sets to find hidden patterns and insights, enabling real-time analysis for better decision-making.
Real-world Application: Airlines using sensors for real-time engine monitoring.
Blockchain
Definition: A digital, distributed ledger that records transactions across several computers to ensure security and transparency.
Mechanism: Transactions are chained in blocks, secured by cryptography, making tampering or alteration extremely difficult.
Potential Uses: Health records are suggested as a significant application for blockchain technology, allowing secure patient data storage.
FinTech
Definition: Combination of financial services and technology, revolutionizing how transactions are processed.
Impact: FinTech disrupts traditional financial services with innovations like cryptocurrencies.
Example: iwoca reduces bureaucratic hurdles in lending through data analysis.
Biometrics
Definition: The measurement and analysis of unique physical and behavioral traits for identification.
Uses: Security access in systems and devices, tracking employee productivity through wearable technology.
Wearable Technology
Definition: Electronic technologies embedded in items worn on the body, often used in health monitoring.
Example: Smartwatches tracking employees’ activity levels and physiological functions.
Virtual Reality (VR) and Augmented Reality (AR)
Virtual Reality: Immersive, interactive 3D environment usually experienced through headsets.
Augmented Reality: Overlays digital information onto the physical world, enhancing real experiences.
Applications: Training simulations in medical fields and interactive customer experiences in retail.
The Fourth Industrial Revolution
Definition: Coined by Klaus Schwab, it signifies a technological paradigm shift merging physical, digital, and biological spheres.
Historical Context: Follows previous industrial revolutions:
Steam engines (first industrial revolution)
Electricity and mass production (second industrial revolution)
Digital technology (third industrial revolution)
Impact Areas:
Customer expectations are rising rapidly.
Physical products enhanced with digital capabilities.
Collaborative innovation becomes essential.
New organizational forms emerge due to global connectivity.
Conclusion
Technological Disruption: Organizations use technology to innovate and meet changing customer expectations.
Importance of Collaboration: Increased reliance on teamwork and technology for real-time data utilization in decision-making.
Future of Work: The integration of technologies is shaping a new landscape for finance professionals, enhancing their roles in data analysis and strategic decision-making.
References
Schwab, Klaus. Shaping the Fourth Industrial Revolution. Geneva: World Economic Forum, 2018.
Schwab, Klaus. “The Fourth Industrial Revolution: What It Means and How to Respond.” Foreign Affairs, December 2015.
World Economic Forum. “Professional Services: Approaching a Digital Tipping Point.”