INTRODUCTION – Data analysis in business
This module will introduce you to the critical role of Data Analyst in the business setup. Data analysis core theoretical concepts will be covered, highlighting data’s critical importance in helping in the making of enhanced discretionary decisions and strategic plan shapes. Learners will get to know the core liabilities and roles of a Data Analyst and the way they contribute to the organizational success.
This will also introduce learners to Power BI-an advanced data analysis tool. By the end of this module, students will have a clear understanding of the conceptually strong as well as the practical application of data analysis, combined with a cover for the basics of Power BI to make the data-driven perception possible.
Objectives
- Apply Power BI task scenario as a Data Analyst.
- What kind of skills do Power BI analyst use as well as the equipment they need?
- Understand Power BI’s primary components.
- List down different stages of the data analysis process.
- Key features of Power BI.
SELF-REVIEW: IDENTIFYING STAKEHOLDERS
1. Which stakeholder is most likely to provide insights into customer preferences and buying patterns?
- Ricci (Customer Service Manager) (CORRECT)
- Jane (IT Manager)
- Igor (Finance Manager)
- Alex (Security Operations Manager)
That’s correct! It is Ricci who is responsible for customer services in reality but manages your customer satisfaction from every angle. With the very position she holds, she lands very clear and important insights concerning the preferences, purchases, and behaviors of all customers and easily widens the area through which the implementation strategies and the improvement of the customer journey counts greater.
2. When preparing interview questions for stakeholders, what should you focus on to ensure the data analysis project achieves its goals?
- Asking personal questions to build rapport with the stakeholders.
- Inquiring about company policies unrelated to the project.
- Asking technical questions about the company’s IT infrastructure.
- Asking questions that align with the stakeholder’s role and responsibilities in relation to the project. (CORRECT)
That’s correct! It is very important to ask questions pertinent to the individual’s job and responsibilities that have to do with the project, as these ensure that the information captured is relevant and actionable in contributing effectively towards the attainment of the project objectives.
3. Which questions would be most appropriate to ask Renee, the marketing director, to steer the data analysis project toward achieving its goals?
- How does the company manage its IT infrastructure?
- What are the legal implications of data privacy in marketing campaigns?
- How do you ensure the security of the company’s data?
- Can you provide any examples of successful targeted marketing campaigns? (CORRECT)
That’s correct! This is among the few questions that Renea had on his mind being a marketing director working in marketing communication campaigns, revealing the importance of explanatory details on marketing sample for the analytics project.
4. Which of the following are key responsibilities of a data analyst? Select all that apply.
- Making informed business decisions
- Analyzing data (CORRECT)
- Collecting data (CORRECT)
- Organizing data (CORRECT)
Yes, data analysts have great importance in utilizing the data to extract insight for making informed business decisions.
Yes, one of the most important duties of a data analyst is data collection, which is very crucial in generating insight to guide business decisions.
Yes, data analyst organizes the data-an indispensable part of the process for getting insights to make decisions that will comply with the defined data policy.
5. What is the primary goal of a Data scientist?
- To ensure database security.
- To create predictive models using advanced techniques. (CORRECT)
- To identify trends and patterns in data.
- To create data infrastructure.
Correct! The extraction method used by data scientists when designing predictive models is through utilizing machine learning algorithms and statistical methods themselves in order to identify patterns and correlations that are not visible in plain language.
6. Which of the following are important non-technical skills for a data analyst? Select all that apply.
- Algorithm optimization
- Interpreting technical content for non-technical stakeholders (CORRECT)
- Diplomacy (CORRECT)
- Understanding end-user needs (CORRECT)
That is correct! Effective technical translation of technical or complex concepts and results at the level of stakeholders is rather a fundamental communication skill in all the non-technical skills of the data analyst’s arsenal unveiled.
That is right! A well developed non-technical skill of a Certified Data Analyst is negotiating ways to access data, mediate in disagreements between stakeholders, and coming up with results that are contrary to the established norm.
That is correct! Among other vital soft skills is understanding the needs of end-users, which all data analysts need in order to deliver results that are actionable.
KNOWLEDGE CHECK: THE ROLE OF THE DATA ANALYST
1. True or False: Data preparation involves converting data into a format that is more suitable for analysis.
- True (CORRECT)
- False
Correct! Data preparation involves gathering, cleaning, and pre-processing raw data to make it suitable for analysis. Data transformation is also a part of data preparation, where data is converted into a format that is more suitable for analysis.
2. What is the goal of the data analysis process?
- Providing data visualizations.
- Collecting and organizing data.
- Creating data models.
- Extracting valuable insights and supporting decision-making. (CORRECT)
Correct! Utilization of that data analysis process is simply collecting and transforming what needs to be changed for organizing and analyzing the essential data which itself would prove helpful in decision making.
3. Which type of analysis involves using algorithms to segment customers into distinct groups based on their behavior?
- Digging deep into data to uncover insights.
- Ensuring the integrity, consistency, and security of data. (CORRECT)
- Creating data visualizations.
- Designing data models.
Correct! Data management is essential in data analysis to ensure data integrity, consistency, and security.
4. What is the function of data management in the data analysis process?
- Detect abnormal activity (CORRECT)
- Monitor activity (CORRECT)
- Stop intrusive activity (CORRECT)
- Manage security incidents
An intrusion prevention system (IPS) monitors and detects intrusions and also prevents them.
5. Which of the following is a part of the data preparation process? Select all that apply.
- Selecting the best machine learning algorithm.
- Creating data models.
- Filling in missing values. (CORRECT)
- Removing inaccuracies, inconsistencies, or duplicate records. (CORRECT)
It’s all good. Missing value handling constitutes a very essential part of the preparation of data.
This is fine. Significant steps in taking data forward are removal of inaccuracies, discrepancies, or duplicate records.
SELF-REVIEW: STAKEHOLDER EXPERIENCE
1. Which best practice is recommended when designing visualizations for different stakeholder groups?
- Use the same visualization type for all stakeholders.
- Choose the most complex visualization type.
- Make the visualization as colorful as possible.
- Identify the goals and priorities of each stakeholder group. (CORRECT)
That’s correct! To render visualization efficiently that shall address their particular requirements as well as channeling relevant messages, the knowledge of goals and priorities to different stakeholder groups is necessary.
2. Which of the following is a recommended approach to ensure that your visualization effectively communicates the intended insights?
- Use as many different visualization types as possible.
- Ignore stakeholder feedback, as they might not understand the data analysis.
- Test your visualization with a small group of users who represent your target audience. (CORRECT)
- Only use simple visualization types, as stakeholders may not understand the data analysis.
That’s correct! Testing for visualization with sets of end users will certainly make it feasible for you to receive feedback necessary for you to improve its effectiveness.
3. Why is it important to use appropriate colors and design elements when creating data visualizations? Select all that apply.
- To emphasize certain aspects of the visualization over others.
- To promote collaboration and shared understanding among stakeholders.
- To make the visualizations easier to understand. (CORRECT)
- To ensure that the visualization is consistent with the brand and resonates with the stakeholder audience. (CORRECT)
And yes, That’s so correct! Useful design and color elements can also incorporate emphasizing the chief points of the visualization.
So yes, that’s correct! Well-selected color and design elements increase the precision and power of the visualizations.
Right Again! Appropriate colors and design elements allow your visualizations to be on par with the brand and meet the rights of the stakeholders in terms of preference.
4. What factors are important to consider when determining the ‘right’ data to collect? Select all that apply.
- The type of data. (CORRECT)
- The scope of data. (CORRECT)
- The needs of the analysis end users. (CORRECT)
- The purpose of the analysis. (CORRECT)
That’s right! It is also extremely important to understand the nature of business questions that data can answer.
That’s true! Understanding the scope necessary to answer business questions by gathering appropriate and pertinent data is quite important.
Just so! Gathering only those data that are needed for analyzing the end-user needs is appropriate because getting directly applicable data will really help.
Absolutely, that’s the truth! You need to focus on the purpose of the analysis to get relevant data that would have a high correlation with goal objectives in the analysis.
5. What is the purpose of data processing in the data analysis process?
- To clean, organize and transform data for data analysis. (CORRECT)
- To collect data from various sources.
- To create complex data sets.
- To store data in a centralized location.
That’s correct! Organizing & transforming raw data into structured form should be done in order to make it easier to analyze and leverage as the foundation of informed decision-making.
SELF-REVIEW: EVALUATING AN ANALYSIS PROCESS
1. True or False: The data analysis process is complete once the data analyst has generated data-driven recommendations.
- Changing the café’s name
- Optimizing menu offerings (CORRECT)
- Establishing a social media presence (CORRECT)
- Adjusting pricing (CORRECT)
I’m sure! This is a data-driven, actionable recommendation to improve cafes’ performance.
That’s right! Establishing a social media presence is a data-driven, actionable recommendation that can help boost the performance of the café.
That’s it! Recommending price adjustments is a data-driven, actionable improvement strategy that can help the café perform better.
2. Which of the following are data-driven recommendations that could help the café improve its performance? Select all that apply:
- A system that only includes regulatory standards and guidelines
- The process used to document events
- The method of closing an investigation
- A framework that provides a blueprint for effective incident response (CORRECT)
3. In the context of the café, what should the data analyst do in preparation for data collection to ensure the effectiveness of the data analysis process?
- Implement data-driven recommendations for the café.
- Create visually appealing charts and graphs for the café’s menu.
- Foster a data-driven culture among the café’s staff.
- Consult with Taylor and other stakeholders to better understand the goals for the analysis. (CORRECT)
That’s correct! The data analyst must work closely with such partners as Taylor to fathom entirely the goals they have with it. And the main thing about this kind of awareness of targets and expectations helps the analyst take up an appropriate data for them as a wrench in the wheel that moves the underlying information and the validity of the café in that analysis.
4. Which of the following are best practices for enhancing data insights for decision-making? Select all that apply.
- Encourage a data-driven culture. (CORRECT)
- Collect data from various sources. (CORRECT)
- Collaborate and share insights (CORRECT)
- Regularly analyze data. (CORRECT)
Exactly! Cultivating a data-driven culture within your organization is the best way to leverage data insights effectively.
Exactly! Data collected from different sources is considered a best practice in order to gain a wide and many-faceted view of your business operations. This helps you to identify trends and patterns.
Exactly! One can expect that collaboration and the sharing of ideas and insights add significantly toward improving decision-making and setting team efforts toward the attainment of common goals.
Exactly! Irregular data analisys keeps one informed on the current trends to allow for making decisions in a well-timed and well-informed manner.
KNOWLEDGE CHECK: STAGES IN DATA ANALYSIS
1. Which of the following is the most likely outcome of effectively implementing data-driven recommendations?
- Decreased reliance on data analysis
- Reduced employee turnover
- Simplified decision-making processes
- Increased customer satisfaction (CORRECT)
That’s correct! Favorably executing data-driven recommendations can be expected to help increase customer satisfaction.
2. Which of the following is a key factor in promoting a data-driven culture within an organization?
- Encouraging open communication and collaboration (CORRECT)
- Relying on historical data for decision-making
- Limiting the use of data visualization tools
- Focusing only on quantitative data
That’s correct! Encouraging open communication, collaboration, and a mindset of continuous improvement are key factors in promoting a data-driven culture within an organization.
3. What is the primary reason for monitoring the results of implemented data-driven recommendations?
- To update the data visualization techniques.
- To determine the effectiveness of the data-driven strategies. (CORRECT)
- To make immediate changes to business operations.
- To collect additional data for future analysis.
That’s correct! Monitoring the results of implemented data-driven recommendations is crucial for determining the effectiveness of the data-driven strategies and making any necessary adjustments.
4. Which of the following is a key advantage of using multiple data sources for the data analysis process?
- Simplifying data analysis techniques
- Reducing the time required for data collection
- Minimizing the need for data cleaning
- Gaining a more comprehensive understanding of the business (CORRECT)
That’s correct! Using multiple data sources allows the data analyst to gain a more comprehensive understanding of the business.
5. What is the main purpose of data cleaning in the data analysis process?
- To visualize the data using charts and graphs.
- To analyze relationships between variables.
- To ensure the accuracy and reliability of the data. (CORRECT)
- To gather data from various sources.
That’s correct! Data cleaning implies the identification and rectification of mistakes, inconsistencies, and inaccuracies in databases. It ensures that data used for analysis is accurate and reliable.
SELF-REVIEW: GENERATE A VISUALIZATION
2. In the donut chart displaying the sum of order totals for various product categories, which category has the second highest sum of order totals?
- Road Bikes (CORRECT)
- E-Bikes
- Mountain Bikes
- Touring Bikes
That’s correct! It would appear that the road bikes in size M had enjoyed the highest total order value of $33,900, suggesting size M road bikes are much-preferred choices by end-users.
2. Fill in the blank: Ticketing systems such as _____ can be used to document and track incidents.
- Touring Bikes
- E-Bikes
- Road Bikes (CORRECT)
- Mountain Bikes
That’s correct! The order value of Road Bikes totals the second-largest sum amounting to $48,100, which means that they are a popular choice to buy over the equally demanding Mountain Bikes.
3. In step 2 of the exercise, what was the purpose of creating slicers?
- To allow users to interactively narrow down the data displayed within the report. (CORRECT)
- To display a single data point or key performance indicator.
- To show trends over time or other continuous variables.
- To visualize geographic data.
That’s correct! Slicers in exercise serve to interactively let users filter data along the dimensions of product categories and payment method.
4. What is the primary purpose of Power BI as a business intelligence tool?
- To create presentations.
- To design and develop software applications.
- To visualize and analyze data for better decision-making. (CORRECT)
- To manage email communication and scheduling.
5. What is the main purpose of calculations in Power BI?
- To create visual representations of data.
- To generate new results and insights from data. . (CORRECT)
- To share reports with colleagues.
- To load data into Power BI.
That’s correct! Engage in Power BI for creativity on data interpretations, measurement generation, and solution; take the best decisions based on these insights.
KNOWLEDGE CHECK: INTRODUCTION TO POWER BI
1. What are the main benefits of using Microsoft Power BI for organizations? Select all that apply.
- It reduces the need for technical expertise. (CORRECT)
- It integrates with a variety of data sources. (CORRECT)
- It helps organizations make better data-driven decisions. (CORRECT)
- It offers a wide range of visualization options. (CORRECT)
For sure! Microsoft Power BI can ingrate with a host of data sources and allow users to pull together data into one view in order to study the workings and measurements of business.
That is true! Microsoft Power BI has an intuitive interface and drag-and-drop operation, and enables both technical and nontechnical users to use it.
That’s true! Microsoft Power BI enables organizations to make better decisions based on data through the change in raw information into insights and highly usable information.
That’s true! Bar charts are just one of the myriad visualization type Microsoft Power BI comes prepackaged with, but it’s also possible to get the same information value from custom visuals that people created in large measure.
2. What are the benefits of installing Microsoft Power BI Desktop from the Microsoft Store? Select all that apply.
- Smaller downloads for each update (CORRECT)
- IT roll-out is enabled (CORRECT)
- Admin privilege is required
- Automatic updates (CORRECT)
Exactly! The functional update feature of Microsoft Power BI Desktop is the differential updates from the Microsoft Store, such that each of their updates poses less of a burden as small download sizes.
Yes, that’s exactly right! The Microsoft Store for Business enables organizations to deploy Microsoft Power BI Desktop to all members of staff by simplifying the IT roll-out process.
That’s correct! Installing Microsoft Power BI Desktop from the Microsoft Store automatically maintains the update.
3. What is the primary purpose of calculations in Microsoft Power BI?
- To create visually appealing graphics.
- To manipulate data and create new measures or insights. (CORRECT)
- To select the correct visualization type for the data.
- To share data from various sources.
That’s correct! Calculations are the nuts and bolts of all data manipulations that generate new metrics or insights driving decision-making. In the world of data analysis, Microsoft Power BI relies on calculations.
4. What chart type is most appropriate for comparing the proportions of different categories in a dataset?
- Pie chart (CORRECT)
- Scatter plot
- Line chart
- Stacked bar chart
That’s correct! Pie charts are specifically designed for comparing the proportions of different categories in a dataset. They provide a visual representation of each category’s proportion relative to the whole.
5. Which of the following are valid steps when creating a visualization in Microsoft Power BI Desktop? Select all that apply.
- Customize chart titles and colors (CORRECT)
- Design a layout using a graphic design software package
- Create interactive filters (CORRECT)
- Import data (CORRECT)
Exactly! Customizing the title and colors in the chart forms a significant aspect of visualization process in Microsoft Power BI Desktop as it enables users to have such beautiful visuals that are easy to comprehend.
Exactly! The interaction filters made a significant contribution in visualization process in Microsoft Power BI Desktop allowing the users to experience data by filtration of what is to be visualized on the specified criteria.
Indeed! The most crucial step toward the visual of Microsoft Power BI Desktop visualization is to import the data which very well and clearly forms the basis for building an illustration.
MODULE QUIZ: DATA ANALYSIS IN BUSINESS
1. In the data analysis process, which stages involve working with the data model representing the data’s structure, relationships, and constraints? Select all that apply.
- Analyze (CORRECT)
- Prepare
- Model (CORRECT)
- Visualize
That might be really good! During analysis, an analyst utilizes all of the analysis tools one can get in order to work with the data model, uncover insights, and respond to specific inquiries.
Really! The modeling stage is the steps responsible for creating a data model that defines the structure, relationships, and constraints of data, which acts as the foundation for further analysis.
2. What is the primary goal of data visualization in the data analysis process?
- To create a data model.
- To ensure data integrity, consistency, and security
- To explore data, identify patterns, and communicate findings effectively (CORRECT)
- To clean and pre-process raw data.
That’s correct! Data visualization allows professionals to communicate in discovering insights about patterns that occur in the data, and this, too, is very often provided in tables, graphs, charts or other visualizations.
3. True or False: The main responsibility of a Database Administrator (DBA) is building and maintaining the data infrastructure, including data pipelines, storage systems, and processing platforms.
- True
- False (CORRECT)
That’s correct!
4. When creating accessible data reports for users with disabilities, what are some key considerations to keep in mind? Select all that apply.
- Limit access to the report
- Follow the Web Content Accessibility Guidelines (WCAG) (CORRECT)
- Use larger, legible font sizes (CORRECT)
- Use clear and easy-to-understand color schemes (CORRECT)
For sure! Being WCAG-complaint will make data reports more accessible for users suffering from disabilities.
Most assuredly! With accessible and sizable font size, reading matter and subject are easily readable, useful for any user with a disability.
Yes, indeed! Clear, easy-to-understand color schemes have an advantageous effect for people experiencing challenges of understanding the report, promoting increased usability.
5. What are some reasons to establish a data storage and refresh schedule for your reports? Select all that apply.
- To make the reports visually appealing.
- To reduce the number of users accessing the reports
- To ensure the data is always up-to-date (CORRECT)
- To maintain data consistency across different reports (CORRECT)
Yes, that is correct. Implementing a structured process for data storage and update on reports makes sure that the users are able to access the most up-to-date information possible.
Certainly doing this is right! Results of the insights which will be delivered by the reports will be harmonized to ensure there is freshness in the data and thereby binding with data updates, which is set for the time period preventing hitches in the presentation.
6. What are some primary purposes of data insights in the context of business decision-making? Select all that apply.
- To collect as much data as possible
- To create visually appealing reports
- To inform business decisions and drive growth (CORRECT)
- To optimize business processes and improve efficiency (CORRECT)
That’s correct! Data insights are used to inform business decisions and drive growth by helping businesses identify new opportunities, make informed decisions, and improve overall performance.
7. True or False: The primary purpose of data insights in the final stage of data analysis is to identify trends, patterns, and opportunities that can lead to actionable business decisions and help businesses grow.
- True (CORRECT)
- False
Absolutely! In the last stage of business data analysis, the last mile for data insights, trend identification, and identification of a few opportunities becomes the base for informed decision and business growth.
8. Which of the following Microsoft Power BI features enable users to manipulate, clean, and transform data, or support advanced analytics? Select all that apply.
- Data Analysis Expressions (DAX) (CORRECT)
- Query Editor (CORRECT)
- Visualizations Pane
- Fields Pane
Correct. DAX or Data Analysis Expressions is the formula language of Microsoft Power BI. It is primarily used for carrying out squarely customizable analytics and complex calculations, e.g., creating calculated columns and measures.
Correct. The Query Editor in Microsoft Power BI is an instrument meant for cleaning and transforming data. It is necessary before loading the data into the data model.
9. True or False: Effective communication is the most crucial non-technical skill for data analysts when presenting findings to stakeholders with different levels of technical knowledge.
- True (CORRECT)
- False
That’s correct! The most important non-technical ability for data analysts to have is exceptional communication, as it allows them to present complex information clearly and concisely to various stakeholders, ensuring that results can be understood and acted upon.
10. What does the scope of data refer to in the context of data analysis? Select all that apply.
- The context within which the data is collected, organized, and analyzed (CORRECT)
- The boundaries or limits of the data (CORRECT)
- The format or structure of the data
- The accuracy and precision of the data
That is right! The scale of the data is the background from which data is organized and analyzed.
That is deterministic about whether the scope of the data is needed for organizing or analyzing them.
11. True or False: The model stage in the data analysis process is the one focused on creating a data model that represents the structure, relationships, and constraints of the data.
- True (CORRECT)
- False
That’s correct! This stage creates a data model that gives a structure, relations, and constraints for the data. Hence, this data model serves as the foundation in which more in-depth analysis and insights stem from.
12. True or False: The primary goal of data visualization in the data analysis process is to explore data, identify patterns, and communicate findings effectively.
- True (CORRECT)
- False
13. In the data management process, what are the main responsibilities of a Database Administrator (DBA)? Select all that apply.
- Building and maintaining data infrastructure
- Creating the blueprint for data management systems.
- Ensuring the maintenance of an organization’s databases. (CORRECT)
- Ensuring the performance and security of an organization’s databases (CORRECT)
Yes, that’s right! A database administrator/DBA has the responsibility of caring for the general health of a company’s databases.
Yes, that’s right! A database administrator/DBA is assigned to foster the usability and safeguarding of a company’s databanks by managing user access to block unwanted access.
14. True or False: The main purpose of having a data storage and refresh schedule in place for your reports is to ensure the data is always up-to-date and consistent across reports.
- True (CORRECT)
- False
That’s correct! Once your business has a storage and field refresh schedule for the report, users get to work in real time, in the field refreshing, which helps in terms of putting some governing rules into practice with everything in place by regarding all reports are updated with data that is the latest.
15. In the realm of business decision-making, what is the central objective of data insights?
- To create visually appealing reports
- To inform business decisions, drive growth, and improve efficiency (CORRECT)
- To implement the latest technology trends
- To collect as much data as possible
That’s correct! Information assists in any particular business decisions, improving growth, and attaining better efficiencies by assisting in finding new and emergent chances, decisions and improved processes, and general enhancement of performances.
16. What is the primary purpose of data insights in the final stage of data analysis?
- To automate the entire data analysis process
- To validate the data collection methodsTo identify trends, patterns, and opportunities. (CORRECT)
- To select the most appropriate data visualization techniques
That’s correct! In order to generate tangible business decisions, data insights shows various trends, patterns, and opportunities. It supports concrete growth and helps in the creation of highly optimized strategies.
17. What Microsoft Power BI feature is primarily used for cleaning, transforming, and reshaping data according to user requirements?
- Data Analysis Expressions (DAX)
- Query Editor (CORRECT)
- Fields Pane
- Visualizations Pane
That’s correct! Microsoft Power BI has been designed, at a preliminary level, for end users, with them in mind. The saving grace for them when it comes to data cleanup, shaping, and transmachination before landing it onto the data model is the process of accomplishing something through Query Editor.
18. True or False: Following the Web Content Accessibility Guidelines (WCAG) is a key consideration when making your data report accessible to users with disabilities.
- True (CORRECT)
- False
That’s correct! The Web Content Accessibility Guidelines (WCAG) must be applied in order that web content be more universally accessible to various persons, including the disabled. Such definitions are supposed to have two main benefits, making data available to persons beyond cognitive skills and keeping data reports accessible to everyone.
19. In the final stage of data analysis, what is the primary purpose of data insights? Select all that apply.
- To identify trends, patterns, and opportunities (CORRECT)
- To automate the entire data analysis process
- To validate the data collection methods
- To support informed decision-making (CORRECT)
Correct! Data insights are what make known trends, patterns, and opportunities that help inform decisions that lead up to companies expanding.
Right! Data insights reveal trends, patterns, and opportunities for effective business decisions that help businesses grow.
20. True or False: The scope of data in the context of data analysis refers to the context within which the data is collected, organized, and analyzed, including boundaries or limits and the size or amount of the data.
- True (CORRECT)
- False
That’s correct! Data scope relates to the context of data acquisition, organization, and analysis. It may have both boundaries or limitations, and it may also involve the amount and size the data must have over its relevance and application.
21. Which stage in the data analysis process is specifically focused on creating a data model that represents the structure, relationships, and constraints of the data?
- Analyze
- Model (CORRECT)
- Prepare
- Visualize
That’s correct! The modeling phase is the point at which your blueprint is built specifying how your data should look, what it should be related to, and what constraints to place on it. The data model serves as a basis for any further analysis, as it defines how data should be organized so as to facilitate analysis.
22. Why is it important to establish a data storage and refresh schedule for your reporting?
- To make the report more accessible for users with disabilities.
- To ensure the data is always up-to-date and consistent across reports (CORRECT)
- To reduce the number of users accessing the reports
- To make the reports visually appealing
That’s correct! Setting up a storage and refresh schedule for data ensures that users will be working with the latest data, keeping their reports consistent between various versions and minimizing discrepancies among different reports.
23. Which non-technical skills are crucial for data analysts when presenting findings to stakeholders with different levels of technical knowledge? Select all that apply.
- Data visualization design
- Effective communication (CORRECT)
- Diplomacy (CORRECT)
- Problem-solving
Yes! Data analysis effective communication is another crucial nontechnical ability that the analyst with data must have in order to present the clear and simple form of the complex information to diverse clientele.
Exact! To access the data, negotiate, enable compromise and communicate results in order to test preexisting beliefs, a data analyst will have to be in possession of the diplomacy necessary to do so.
CONCLUSION – Data analysis in business
Really, what makes this module interesting is that it provides students with a solid foundation of the Data Analyst’s role as well as data analysis and its importance in building business decisions and strategies. Here, the pilot project will provide the learners the understanding of important concepts and will demonstrate the features of Power BI, an important data analysis tool that will thus enable the learners to understand how to use data to drive business advantage. This knowledge-to-power theory is set up for even more advanced exploration of data analysis techniques by the learners. This has, thus, presented a sequence where the learners can learn to use data to extract the value it provides in their organization as practically as possible.