I think they mostly look the same except the last 2 phases of both processes.Share and actArchive and destroyIn the share phase of the data process we normally share our insights through visualization tothe stakeholders but in the data life cycle we archive our data which means the data will bestored in a place where it's still available, but may not be used again.In the act phase of the data process, we normally act upon the outcomes. This is where we useall of those data-driven insights to decide what types of interventions we want to introduce, notonly at the organizational level, but also at the team level as well. But in data life cycle wedestroy the data by using the use secure data erasure softwareIn the ask phase the effective questions will be asked, and in the plan phase, what type of dataare we going to need to answer the questions which were asked in the ask phase.Analytical thinking- quizQuestion 1What practice involves identifying, defining, and solving a problem by using data in anorganized, step-by-step manner?VisualizationContextData designAnalytical thinking Show
Which of the following are examples of data visualizations? Select all that apply. Get answer to your question and much more Gap analysis is used to examine and evaluate how a process currently works with the goal ofgetting to where you want to be in the future. Get answer to your question and much more Which aspect of analytical thinking involves being able to identify a relationship between two ormore pieces of data? Get answer to your question and much more Fill in the blank: Curiosity, understanding context, and having a technical mindset are allexamples of _____ used in data-driven decision-making.data modelsbusiness strategiesanalytical skillsthought processes Surveying customers about their preferences and using that information to inform businessstrategy is an example of data-driven decision-making. Get answer to your question and much more In data analysis, which analytical skill involves the management of people, processes, andtools?*Weekly challenge 2* Get answer to your question and much more A junior data analyst is seeking out new experiences in order to gain knowledge. They watchvideos and read articles about data analytics. They ask experts questions. Which analytical skillare they using? Get answer to your question and much more Question 2Understanding context is an analytical skill best described by which of the following? Select allthat apply. Gathering additional information about data to understand the broader pictureCorrectContext is the condition in which something exists, such as a structure. Gathering extrainformation about data to understand the broader picture provides context.Identifying the motivation behind the collection of a datasetCorrectContext is the condition in which something exists, such as a structure. Identifying themotivation behind the collection of a dataset helps clarify the context. Upload your study docs or become a Course Hero member to access this document Upload your study docs or become a Course Hero member to access this document End of preview. Want to read all 47 pages? Upload your study docs or become a Course Hero member to access this document Tags analyst, share phase of the data process Identifying and defining a problem and then solving it by using data in an organized step-by-step manner. What are the 5 steps to Analytical Thinking?
Graphic representation of information ex graphs, maps, pictures etc. Helps data analysts see what they want to achieve with the data and how they can get there. Data Analysts use this approach in order to identify, describe and solve problems Correlation Remember correlation does not equal causation. Relationship or correlation between two or more pieces of data Big-picture and Detail-oriented thinking The ability to see small details as well as being ablet to zoom out and see possibilities and opportunities What is the root cause of a problem? A root cause is the reason why a problem occurs Five Whys you ask "why" five times to reveal the root cause. A method for examining and evaluating how a process works currently in order to get where you want to be in the future What did we not consider before? This question is a great way to think about what information or procedure might be missing from a process, so you can identify ways to make better decisions and strategies moving forward The collection, transformation, organization of data in order to draw conclusions, make predictions, and drive informed decision-making Someone who collects, transforms, organizes data in order to drive informed decision-making Data-driven decision-making Using facts to guide business strategy The various elements that interact with one another in order to produce, manage, store, organize, analyze, and share date A field of study that uses raw data to create new ways of modeling and understanding the unknown A collection of data that can be manipulated or analyzed as one unit Qualities and characteristics associated with solving problems using facts What are the 5 essential analytical skill points?
Condition in which something exists or happens - making sure things are in order and that they make sense Ability to breakdown things into smaller steps or pieces and work with them in an orderly and logical way How you organize information The management of the people, process and tools used in data analysis. People - make sure they know how to use the right data to find solutions to the problem you are working on. Process - make sure the path to the solution is clear and accessible Tools - make sure the right technology is being used for the job Turning data into insights
Divides data points into four equal parts or quarters An organization that is dedicated to advancing a social cause or advocating for a particular effort Fill in the blank: Curiosity, understanding context, and having a technical mindset are all examples of _____ used in data-driven decision-making. Surveying customers about their preferences and using that information to inform business strategy is an example of data-driven decision-making. In data analysis, which analytical skill involves the management of people, processes, and tools? Qualities and characteristics associated with using facts to solve problems The condition in which something exists or happens The reason why a problem occurs The ability to break things down into smaller steps or pieces and work with them in an orderly and logical way Data visualization: The graphical representation of data Question 1 Curiosity is an analytical skill that involves which of the following? Seeking out new challenges and experiences Question 2 Understanding context is an analytical skill best described by which of the following? Adding descriptive headers to columns of data in a spreadsheet Context is the condition in which something exists, such as a structure. Adding descriptive headers to columns of data in a spreadsheet provides context about the data below. A data analyst works for an appliance manufacturer. Last year, the company’s profits were down. Lower profits can be a result of fewer people buying appliances, higher costs to make appliances, or a combination of both. The analyst recognizes that those are big issues to solve, so they break down the problems into smaller pieces to analyze them in an orderly way. Which analytical skill are they using? Question 4 Data design is how you organize information; data strategy is the management of the people, processes, and tools used in data analysis. Question 5 Fill in the blank: Being able to identify a relationship between two or more pieces of data describes _____. Data analysts ask, “Why?” five times in order to get to the root cause of a problem. Gap analysis is a method for examining and evaluating how a process works currently in order to get where you want to be in the future. A company is receiving negative comments on social media about their products. To solve this problem, a data analyst uses each of their five analytical skills: curiosity, understanding context, having a technical mindset, data design, and data strategy. This makes it possible for the analyst to use facts to guide business strategy and figure out how to improve customer satisfaction. What is this an example of? Data-driven decision-making Is the collection, transformation and organization of data in order to draw conclusions, make predictions, and drive informed decision-making Someone who collects, transforms, and organizes data in order to help make informed decision A collection of facts that can be used to draw conclusions, make predictions, and assist in decision-making. The various elements that interact with one another in order to produce, manage, store, organize. analyze and share data Data can be found in something call the cloud A place to keep data online, rather than on a computer hard drive. Creating new ways of modeling and understanding the unknown by using raw data. Data-driven decision-making Using facts to guide business strategy Ask: Business Challenge/Objective/Question Prepare: Data generation, collection, storage, and data management Process: Data cleaning/data integrity Analyze: Data exploration, visualization, and analysis Share: Communicating and interpreting results Act: Putting your insights to work to solve the problem EMC's data analysis life cycle Discovery Pre-processing data Model planning Model building Communicate results Operationalize SAS's iterative life cycle Ask Prepare Explore Model Implement Act Evaluate Project-based data analytics life cycle Identifying the problem Designing data requirements Pre-processing data Performing data analysis Visualizing data Big data analytics life cycle Business case evaluation Data identification Data acquisition and filtering Data extraction Data validation and cleaning Data aggregation and representation Data analysis Data visualization Utilization of analysis results Which of the following statements best defines data? Data is a collection of facts. Question 2 Fill in the blank: In data analytics, the data ecosystem refers to the various elements that interact with one another to produce, manage, store, _____, analyze, and share data. 1 / 1 point Question 3 Which of the following terms refers to the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making? An airline collects, observes, and analyzes its customers' online behaviors. Then, it uses the insights gained to choose what new products and services to offer. What business process does this describe? Data-driven decision-making The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making describes what? In data analytics, what term describes a collection of elements that interact with one another? Fill in the blank: The primary goal of a data _____ is to create new questions using data. Fill in the blank: The term _____ is defined as an intuitive understanding of something with little or no explanation. A company defines a problem it wants to solve. Then, a data analyst gathers relevant data, analyzes it, and uses it to draw conclusions. The analyst shares their analysis with subject-matter experts, who validate the findings. Finally, a plan is put into action. What does this scenario describe? Data-driven decision-making To get the most out of data-driven decision-making, it’s important to include insights from people very familiar with the business problem. Identify what these people are called. Sharing the results of your analysis with colleagues who are very familiar with the business problem supports what practice? Data-driven decision-making What is the life cycle of data
Plan, capture, manage, analyze, archive and destroy Plan - Determine what kind of data is needed and how it will be managed throughout its life cycle. Capture - collecting data from a variety of sources. These are endless - two examples are public databases and a company's personal database. Care - How and where it's stored, tools used to keep it safe and secure, and the actions taken to make sure it's maintained properly. Analyze - use the data to solve problems, make great decisions and support business goals. Archive - storing the data in a place where it's still available but may not be used again. Destroy - Any hard drives or paper files that have expired must be destroyed A collection of data stored in a computer system In the data life cycle, which phase involves using data to solve problems, make good decisions, and support business goals? Plan: Decide what kind of data is needed, how it will be managed, and who will be responsible for it. Capture: Collect or bring in data from a variety of different sources. Manage: Care for and maintain the data. This includes determining how and where it is stored and the tools used to do so. Analyze: Use the data to solve problems, make decisions, and support business goals. Archive: Keep relevant data stored for long-term and future reference. Destroy: Remove data from storage and delete any shared copies of the data. Fill in the blank: During the _____ phase of the data life cycle, a business decides what kind of data it needs, how it will be managed, who will be responsible for it, and the optimal outcomes In the data life cycle, which phase involves gathering data from various sources and bringing it into the organization? A dairy farmer decides to open an ice cream shop on her farm. After surveying the local community about people’s favorite flavors, she takes the data they provided and stores it in a secure hard drive so it can be maintained safely on her computer. This is part of which phase of the data life cycle? After opening the ice cream shop on her farm, the same dairy farmer then surveys the local community about people’s favorite flavors. She uses the data she collected to determine that the top five flavors are strawberry, vanilla, chocolate, mint chip, and peanut butter. She feels confident in her decision to sell these flavors. This is part of which phase of the data life cycle? Data analysis isn't a life cycle it is a what.... It is the process of analyzing data People who have invested time and recourses into a project and are interested in the outcome. Defining a problem means.... Look at the current state and identify how it's different from the ideal state You need to ask the right questions at the beginning of the project so you can understand what is needed from you. What is the purpose of this analysis? What are we hoping to learn from it? During prepare what should you be thinking? You need to be thinking about the type of data we need in order to answer the questions that we've set out to answer based on what we learned when we asked the right questions What is one thing you should be doing during the process stage of data? Process step begins with cleaning your data, This is also where you get a chance to understand its structure, its quirks, its nuances, and you really get a change to understand deeply what type of data you're going to be working with and understanding what potential that data has to answer all your questions. Question 1 The data analysis process phases are ask, prepare, process, analyze, share, and act. What do data analysts do during the ask phase? Define the problem to be solved During the process phase of data analysis, a data analyst cleans data to ensure it’s complete and correct. TRUE Correct The process phase is all about getting the details right, so data analysts clean data by fixing typos, inconsistencies, and missing or inaccurate data. During which phase of data analysis would a data analyst use spreadsheets or query languages to transform data in order to draw conclusions? The analyze phase involves using data analytics tools such as spreadsheets and query languages to transform data in order to draw conclusions and make informed decisions. In which data analysis phase would a data analyst use visuals such as charts or graphs to simplify complex data for better understanding? SHARE The share phase involves how results are interpreted and shared with others, often through data visualization A data analyst shares insights from their analysis during a formal presentation to stakeholders. In a slideshow, they make a data-driven recommendation for how to solve a business problem. What phase of the data analysis process would come next? In this scenario, the data analyst has just shared insights. So, the next phase would be to act and put those insights to work in order to solve the business problem. What practice involves identifying defining and solving a problem by using data in an organized stepCorrect: Analytical thinking involves identifying and defining a problem, then solving it by using data in an organized, step-by-step manner.
What practice involves identifying defining and solving a problem by using data in an organized stepAnalytical thinking involves identifying and defining a problem and then solving it by using data in an organized, step-by-step manner.
Which analytical skill involves managing the people processes and tools used in data analysis?Data design is how you organize information; data strategy is the management of the people, processes, and tools used in data analysis.
Which aspects of analytical thinking involves?Analytical thinking involves:. Gathering relevant information.. Focusing on facts and evidence.. Examining chunks of data or information.. Identifying key issues.. Using logic and reasoning to process information.. Separating more complex information into simpler parts.. Sub-dividing information into manageable sizes.. |
What practice involves identifying defining and solving a problem by using data in an organized step
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