Cybersoft Computers
Business Processes and Supporting
Processes
• There are several types of business processes that can be involved in business
intelligence, they include:
1. Data Integration refers to the process of combining data from different
sources into a unified and consistent format.
2. Data Analysis involves the process of using data to identify patterns,
relationships, and trends. This may involve descriptive analytics, predictive
analytics, and prescriptive analytics
3. Data Reporting refers to the process of presenting data in a meaningful
way to help decision-makers understand and act on the information.
4. Data Mining is the process of extracting useful patterns and information
from large datasets. This may involve clustering, and classification.
5. Performance Management refers to the process of measuring and
monitoring key performance indicators (KPIs) to help decision-makers
evaluate performance and identify areas for improvement.
6. Workflow Management refers to the process of automating and optimizing
business processes to improve efficiency and reduce errors.
Classification of data
Criteria
Structured data
Semi-structured data
Un-structured data
Data format
Data is stored in a specific format such
as database or spreadsheet
Has a structure but not as structured as
structured data. Usually organized using
tags and metadata
Does not have a specific format and
may include fre text and videos
Data volume
Small in terms of volume
Volume may vary but is often larger
than structured data
Has a massive volume.
Data storage
Stored in databases.
Stored in data repositories such as data
lakes and file systems.
Stored in data repositories such as data
lakes and file systems.
1.3 Application software
Benefits
Drawbacks
1.
Improved Efficiency: Application software can automate many tasks and
1.
reduce the need for manual input, which can improve overall efficiency and
productivity.
High Cost: Application software can be expensive to purchase and maintain,
particularly for smaller businesses with limited budgets.
2.
Enhanced Accuracy: Application software can improve the accuracy and
reliability of tasks that were previously performed manually, such as data
entry and calculations.
2. Technical Requirements: Application software often requires specific technical
requirements, such as particular operating systems, hardware, or software
components, which can be difficult for some businesses to meet.
3.
Better Communication and Collaboration: Application software can
facilitate communication and collaboration between team members,
allowing for easier sharing of information and ideas.
3. Learning Curve: Application software may have a learning curve for new users,
which can lead to a temporary decrease in productivity as employees learn how to
use the software.
Comparison of different types of support
• At the operational level, BI and IS can provide real-time data and
insights that help employees make informed decisions quickly.
• At the tactical level, BI and IS can help managers analyze data and
make more informed decisions about how to allocate resources and
improve operational efficiency.
• At the strategic level, BI and IS can help executives make informed
decisions about the overall direction of the organization.
Key features of Business Intelligence
functionality
• Data Analysis: Business Intelligence allows businesses to analyze vast
amounts of data quickly and efficiently, identifying trends, patterns,
and insights that might otherwise be difficult to detect
• Decision Making: Business Intelligence provides businesses with the
information they need to make informed decisions quickly.
• Problem Solving: Business Intelligence helps businesses identify and
solve problems by analyzing data and identifying areas for
improvement.
• Innovation: Business Intelligence can help businesses identify new
opportunities and innovate by providing insights into market trends,
customer behavior, and emerging technologies.
Key features of Business Intelligence
• Data Integration is a business intelligence functionality that can integrate
data from multiple sources, such as databases, spreadsheets, and cloud
services, making it easier to analyze and visualize the data.
• Data Visualization is a business intelligence functionality offered by
business intelligence tools to provide visual representations of data, such
as charts and graphs
• Self-Service, Business Intelligence solutions provide users with the ability to
access and analyze data on their own, without the need for IT support
• Predictive Analytics, Business Intelligence tools can use advanced
algorithms and machine learning to identify patterns and predict future
trends based on historical data.
Content of Information System and
Technology
• At operational levels and strategic levels data Warehousing is applied. At the operational level,
data warehousing is used to store and manage transactional data from business operations, such
as inventory while at tactical levels (OLAP) On Line Analytical Processing.
• Data mining is common in operations l levels and tactical levels of an organization
• Reporting analytics is applied in both operation and tactical levels while at strategic levels
Strategic plans are used.
• Knowledge management systems enable organizations to capture and share knowledge and
expertise across the organization. They are applied at strategic levels of an organization
• Sharing at operational level is done using mobile business. While at tactical levels sharing is done
through collaboration enables mid-level managers to work together on projects and initiatives.
• At tactical levels data visualization is applied. Data visualization tools are used to represent
complex data in a graphical format, making it easier for managers to analyze and understand.
• At Operational levels Data Integration is applied. Data integration tools are used to consolidate
data from various sources into a single system, making it easier to analyze and report on
operational data.
Business Intelligence tools on decision making
• Providing Accurate and Timely Data. This enables decision makers to make
informed decisions based on current data, rather than relying on outdated or
incomplete information.
• Enabling Data Analysis. This helps decision makers identify opportunities and
threats, and make informed decisions based on data-driven insights.
• Supporting Collaboration. This facilitates better communication and collaboration
between departments, helping to ensure that decisions are aligned with the
overall business strategy.
• Enhancing Forecasting and Planning. This is particularly useful for strategic
decision making, where decision makers need to consider long-term trends and
opportunities.
• Improving Operational Efficiency. This enables decision makers to take corrective
action and improve operational efficiency, leading to cost savings and improved
performance.
User Interface Cybersoft
Dashboard
Quantity
Pricing
Payment option
Finance scorecard
Review of Cybersoft and Business
Intelligence Tool
• Clear and Simple and easy visualizations have been applied in the Cybersoft
business intelligence tool. The different visualization options are graphs, charts,
tables, and maps which help in exploring the data in the best way possible.
• Cybersoft applies Customization Options so that users can tailor their view of the
data to their specific needs. This includes the ability to change colors, fonts, and
chart types.
• Speed and Performance: The UI should be designed in such a way that it is fast
and responsive, allowing users to analyze large amounts of data quickly and
efficiently.
• Use of collaboration has been applied at Cybersoft. Use of dashboards where
different levels of managements can share financial data.
• Cybersoft can provide their users with a powerful and intuitive tool for exploring
and analyzing data by ensuring that the user interface and user experience of a
business intelligence tool meets these criteria. This can lead to more informed
decisions and improved business performance.
Positive impacts of Business Intelligence
tools
• Providing Accurate and Timely Data from various sources and present it in a standardized format,
ensuring that decision makers have access to accurate and timely information. This enables
decision makers to make informed decisions based on current data, rather than relying on
outdated or incomplete information.
• Enabling Data Analysis to analyze large volumes of data quickly and easily, providing insights into
business performance and trends. This helps decision makers identify opportunities and threats,
and make informed decisions based on data-driven insights.
• Supporting Collaboration by enabling decision makers to share data and insights with other
stakeholders. This facilitates better communication and collaboration between departments,
helping to ensure that decisions are aligned with the overall business strategy.
• Enhancing Forecasting and Planning can help decision makers forecast future trends and plan
accordingly. This is particularly useful for strategic decision making, where decision makers need
to consider long-term trends and opportunities.
• Improving Operational Efficiencycan help decision makers identify inefficiencies and bottlenecks
in business processes. This enables decision makers to take corrective action and improve
operational efficiency, leading to cost savings and improved performance.
Organization using Business Intelligence
tools
• Data Protection involve the collection, processing, and analysis of large amounts of data. The use
of such tools requires organizations to comply with data protection laws and regulations, such as
the General Data Protection Regulation (GDPR) in the European Union.
• Privacy. This is a tools can also raise privacy concerns, especially when sensitive or personal data
is involved. Organizations need to ensure that the data they collect is used only for legitimate
purposes and that the privacy of individuals is protected.
• Security often involve the use of cloud-based or third-party services, which can pose security
risks. Organizations need to ensure that they have appropriate security measures in place to
protect the confidentiality, integrity, and availability of data. This includes using encryption,
access controls, and monitoring tools to prevent unauthorized access, data breaches, or cyberattacks.
• Ethical Issues can raise ethical issues related to fairness, transparency, and accountability.
Organizations need to ensure that their use of business intelligence tools does not result in
discrimination or bias against certain groups or individuals. They also need to be transparent
about how data is collected and used, and be accountable for any decisions made based on the
analysis of data.
Application of Business Intelligence tools
• Collect and analyze customer data. This data can be used to understand
customer preferences, identify new target audiences, and tailor marketing
strategies accordingly.
• Monitor market trends. This information can be used to identify new target
audiences and develop new products or services that meet evolving customer
needs
• Improve decision-making. This can lead to more effective marketing strategies,
improved customer engagement, and increased sales.
• Enhance data by providing real-time monitoring and alerting for potential security
threats. This can help prevent data breaches and other security incidents that
could compromise customer data and damage the organization's reputation
• Implement access controls to ensure that only authorized personnel have access
to Business Intelligence data. This can help prevent unauthorized access or
misuse of sensitive data and ensure compliance with security legislation