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Standards Framework

for Arkansas Business Intelligence

51

Standards in this Framework

Standard Description
1.1.1 Identify and discuss successful professionals and their involvement in either DECA, FBLA or TSA.
1.1.2 Discuss and evaluate CTSO activities which reinforce and connect real-world application to the curriculum taught in the classroom.
1.1.3 Discuss and evaluate CTSO activities which reinforce and connect real-world application to the curriculum taught in the classroom.
1.1.4 Research professional organizations for business intelligence related careers and discuss the importance of membership and participation in professional organizations for career development and growth and how they connect to CTSOs.
1.2.1 Understand the difference between business professional, business casual and casual.
1.2.2 Identify appropriate dress for different occupations, meetings and scenarios.
2.1.1 Demonstrate effective communication skills.
2.1.2 Comprehend and explain the importance of punctuality and attendance.
2.1.3 Identify traits important to success such as initiative, positive attitude, enthusiasm, self-confidence, etc.
3.1.1 Analyze one’s current digital presence.
3.1.2 Prepare/update a professional digital portfolio.
4.1.1 Analyze personal interests and skills needed for success.
4.1.2 Identify professional certifications available for various careers and levels of professionals in the business intelligence field.
5.1.1 Compare and contrast the three major forms of business ownership.
5.1.2 Examine the decision-making skills needed for each form of business ownership.
6.1.1 Examine ethical and unethical business practices.
6.1.2 Identify and discuss the ways data can be broken down, interpreted, and shared with technical and non-technical stakeholders to improve business decisions.
7.1.1 Use various data types (e.g., Booleans, characters, integers, floating points, strings) in appropriate situations within a program. Note: This could be using Booleans (e.g., true or false) when working with selection, integers and/or floats when performing math calculations, strings when working with text data).
7.1.2 Create and use variables within a program.
7.1.3 Construct expressions using arithmetic operators (e.g., +, -, *, /, and %) and numeric data types within a program.
7.1.4 Construct Boolean expressions using relational (e.g., <, >, <=, >=, ==, and !=) and logical operators (e.g., AND, OR, and NOT) within a program. Note: Commonly used with iteration and selection.
7.1.5 Apply appropriate typecasting or conversion methods to convert between different data types, when necessary, within a program.
7.1.6 Perform operations that encode/decode data from one form into another form (e.g., binary to hexadecimal, numeric values to colored pixels, and/or numbers to ASCII/Unicode representations).
7.1.7 Use data structures (e.g., arrays, lists, and maps) to store and manipulate multiple values and perform operations on the stored values.
7.1.8 Create programs that use control structures, including selection and iteration. Note: Selection can be if statements and switch cases. Iteration can be while and for loops.
7.1.9 Create procedures/functions to modularize code for reusability and organization within a program.
8.1.1 Explore the benefits that financial technology (Fintech), such as digital payment systems and automated financial analytics, can have on a business.
8.1.2 Explore the role and benefit of business intelligence tools (e.g., IBM Cognos Analytics and Google Data Studio) in empowering businesses to analyze data and gain valuable insights for informed decision-making.
8.1.3 Examine how mobile technology has revolutionized the way businesses operate, enabling flexibility, improved communication, enhanced customer experiences, and access to real-time information.
8.1.4 Explore how cybersecurity technologies (e.g., intrusion detection and prevention systems, encryption, and data loss prevention tools) can safeguard businesses against evolving threats and ensure the protection of critical data and systems.
8.1.5 Examine how technologies derived from artificial intelligence and machine learning applications (e.g., Generative Pre-trained Transformers) can improve data analysis and productivity in performing common business tasks.
8.1.6 Investigate the impact of emerging technologies (e.g., blockchain, virtual and augmented reality, and remote work tools) on businesses by unlocking new possibilities and driving transformative change.
9.1.1 Use formulas and functions (e.g., AVG, MIN, MAX, COUNT, and SUM) within a spreadsheet software to use logical reasoning to draw conclusions and apply mathematical problem-solving skills to create suitable formulas to solve problems.
9.1.2 Use a spreadsheet software to aid with data analysis and reporting by creating visualizations (e.g., charts).
9.1.3 Use advanced functions (e.g., VLOOKUP, COUNTIF, and IFERROR), conditional formatting (e.g., IF, AND, OR, and BETWEEN), and filtering techniques to analyze and manipulate data using a spreadsheet software.
9.1.4 Create programs using a text-based programming language to manage files (e.g., create, delete, move, search, and compress files) and to increase productivity in the business workplace.
10.1.1 Research different database management systems (e.g, MySQL, SQlite, Microsoft SQL Server, Access, and Oracle Database) to manage and interact with a database.
10.1.2 Use a database management system to create basic databases and perform basic operations (e.g., selecting, inserting, updating, and deleting data) on the database.
10.1.3 Use a text-based programming language to create basic databases and tables and perform basic operations (e.g., selecting, inserting, updating, and deleting data) on the database.
10.1.4 Create and execute statements using a declarative language (e.g., Structured Query Language) to create simple databases and perform basic operations (e.g., selecting, inserting, updating, and deleting data) on the database.
10.1.5 Explore and use various sources of data that can be collected and used for business decisions and operations (e.g., competitor's web pages, financial statements, surveys and questionnaires, market research reports, and publicly available datasets).
10.1.6 Create programs using a text-based programming language to transfer data from a data source (e.g., csv, spreadsheets, and online data repositories) into a database.
10.1.7 Create programs using a text-based programming language that perform data analysis on data stored in a database.
11.1.1 Define automation and determine when a task or operation could benefit from automation.
11.1.2 Automate simple business tasks and operations (e.g. data entry, performing calculations, invoice processing, or sending automated emails).
11.1.3 Create a basic business application using a text-based programming language that solves a business-related issue. Notes: For example, considering the context of a Small Business Enterprise (SBE), creating a Point of Sale (POS) system could serve as a viable application.
12.1.1 Identify and explain the impacts of malware (e.g., ransomware), hacking, phishing, intellectual property theft, and identity theft can have on a business.
12.1.2 Explore appropriate security controls (e.g., security awareness training, antivirus and anti-malware software, access control systems, and information security policies) to protect business information.
13.1.1 Describe common network concepts (e.g., IP address, topology, protocols, bandwidth, and latency).
13.1.2 Describe common network hardware (e.g., modems, routers, switches, firewalls, and servers) that can be used in a business.
13.1.3 Describe common network security (e.g., firewalls and virtual private networks).