Identify Five Different IT Systems That Are Due Tonight

Due Tonightidentifyfive Different It Systems That Have Affected Bus

Due Tonight….. Identify five different IT systems that have affected business in the past few years. For each system, briefly note the following: · The system's name · The area of business it affects · What changes the system brought to the business world · What business processes changed because of the system · The system's likely future effect Create a diagram using Microsoft® Visio® that lists the IT systems you identified. Refer to the University of Phoenix Material: Microsoft® Visio® and Business Process Diagrams. In your Visio® document, use a rectangle to diagram the name of each system and the area of business it affects. Use a triangle to indicate the challenges and business process changes. Use a rounded square to list likely future effects of the system.

Paper For Above instruction

Due Tonightidentifyfive Different It Systems That Have Affected Bus

Impact of IT Systems on Business: A Review of Select Technologies and Their Future

In the rapidly evolving landscape of the 21st century, information technology (IT) systems have become pivotal in shaping business strategies, operations, and competitive dynamics. Over the past few years, several innovative IT systems have profoundly influenced various aspects of business, transforming traditional processes and creating new opportunities for growth and efficiency. This paper identifies five key IT systems that have impacted business, analyzes their effects, and projects their likely future implications. Additionally, it discusses how visual representations such as diagrams can enhance understanding of the interconnectedness and challenges associated with these technologies.

1. Cloud Computing

Cloud computing represents a revolutionary shift from traditional on-premise infrastructure to scalable, internet-based service models. It affects a wide range of business areas, including IT infrastructure, data storage, and application deployment.

Cloud services like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud have enabled businesses to reduce costs, improve scalability, and enhance collaboration. The fundamental change brought by cloud computing includes the decentralization of data centers, allowing for real-time data access and flexible resource allocation.

Business processes that have changed because of cloud computing include disaster recovery plans, software as a service (SaaS) adoption, and remote work infrastructure. The future impact of cloud computing is poised to expand with advancements in edge computing, hybrid cloud models, and increased emphasis on security and compliance protocols.

2. Enterprise Resource Planning (ERP) Systems

ERP systems integrate core business processes across functions such as finance, supply chain, human resources, and manufacturing into a unified system. Major ERP providers include SAP, Oracle, and Microsoft Dynamics.

ERP has transformed business operations by promoting real-time data sharing, reducing redundancies, and automating transactions. These changes have increased efficiency, accuracy, and decision-making speed across organizations.

The ERP’s future likely involves further integration with artificial intelligence (AI) and machine learning, enabling predictive analytics and autonomous decision-making. Additionally, cloud-based ERP solutions are making these systems more accessible to small and medium-sized enterprises.

3. Customer Relationship Management (CRM) Systems

CRM systems like Salesforce, HubSpot, and Zoho manage a company’s interactions with current and potential customers. They significantly influence marketing, sales, and customer service operations.

CRM implementations have led to personalized marketing strategies, improved customer retention, and enhanced sales processes. The ability to analyze customer data has transformed approaches to customer engagement and loyalty programs.

Future developments may include deeper integration with AI for predictive analytics and chatbots, leading to more proactive customer service. The growing adoption of mobile CRM applications will further influence how businesses interact with clients on-the-go.

4. Business Intelligence (BI) Systems

BI systems such as Tableau, Power BI, and QlikView analyze vast amounts of data to support strategic decision-making. They primarily affect the analytics and reporting segments of business.

These systems have transformed decision-making by providing real-time data visualization and self-service analytics, which enable managers to identify trends, forecast outcomes, and allocate resources effectively.

Future impacts are likely to involve increased use of AI and machine learning to automate insights and predictions. The integration of BI with IoT (Internet of Things) devices will enhance data collection and analysis, making businesses more agile and responsive.

5. Artificial Intelligence (AI) and Machine Learning (ML)

AI and ML systems such as IBM Watson, Google AI, and specialized algorithms influence multiple business domains, including customer service, logistics, finance, and operations.

These systems have driven automation, predictive analytics, and personalization, fundamentally altering how businesses operate and strategize. For example, AI-powered chatbots improve customer service efficiency, and predictive analytics optimize supply chains.

Looking ahead, AI and ML are expected to become more autonomous and integrated into everyday business functions. Ethical considerations and regulatory frameworks will likely shape future development, ensuring responsible AI deployment.

Diagramming IT Systems: Challenges and Future Effects

Using Microsoft Visio® to diagram these systems involves representing each with a rectangle for the system's name and affected business area, a triangle to indicate challenges and process changes, and a rounded square for future impact. Such visualizations aid in understanding complex interrelations and strategic planning.

For example, decreasing reliance on traditional data centers might be represented by a rectangle for Cloud Computing, challenges such as security risks by a triangle, and future potentials like serverless architecture by a rounded square.

Conclusion

The evolution of IT systems continues to reshape the business world significantly. Cloud computing, ERP, CRM, BI, and AI/ML are just a few examples illustrating how technology drives innovation and efficiency. The future of these systems promises greater integration, automation, and intelligence, which will demand ongoing adaptation and strategic forethought by businesses. Visual tools like diagrams play a crucial role in understanding and communicating these complex dynamics, supporting informed decision-making and strategic planning in an increasingly digital age.

References

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