ask questions to make data driven decisions

When working with big data, analysts consider the variety of data within large, complex datasets. What does this entail?

Identifying the different kinds of data included

Company leaders at a cafeteria supplier want to improve business performance. How could they use metrics and a metric goal to help them do so?

Create a metric goal as the business objective. Then, evaluate it using metrics.

A data professional at a retail store automates a process to identify their company's best-selling products. First, a list of all products is compiled. Then, the number of times they have been sold is counted. Finally, the products are sorted, with best-sellers at the top. What does this scenario describe?

Making a pivot table

What are some characteristics of small data? Select all that apply.

Often organized and analyzed using spreadsheets, Useful when making day-to-day decisions, Likely to focus on specific metrics

A junior data analyst uses a spreadsheet tool to create a visualization that groups and counts shipping data by carrier, route, and trip length. What tool are they using?

Pivot table

Which of the following statements accurately describe qualitative and quantitative data? Select all that apply.

Quantitative data involves specific and objective measures. Qualitative data describes explanatory assessments of qualities.

Which of the following statements correctly describe dashboards and reports? Select all that apply.

Reports are effective at capturing high-level, historical data. Reports and dashboards are both useful for data visualization. A dashboard could be used to track hourly error rates when programming code.

What are some typical challenges that may be faced by businesses that are beginning to collect and use big data? Select all that apply.

There may be gaps in big data business tools. Less efficient decision-making time frames

A data professional works with data that is stored in a database. They use SQL to sort and analyze it in order to ensure the insights are as accurate as possible. What type of data are they most likely using?

big

What are some key benefits of dashboards? Select all that apply.

low maintenance, easy access for stakeholders, ability to monitor live data

Stakeholders at a utility company request insights summarizing the past month's business results. The information will include high-level, historical data about electricity usage. What type of deliverable should the data team provide?

report

Fill in the blank: A company determines the success of an investment using _____, which is calculated by comparing the two metrics of investment cost and profit.

return on investment

Fill in the blank: A data analyst creates a pivot table when using _____ in order to summarize, count, or average data from a worksheet.

spreadsheets

Fill in the blank: Big data typically involves large datasets containing data from long _____, which has to be organized before analysis.

time periods

A supervisor presents their data team with a clear objective that was set by company decision-makers and will be evaluated and measured. The data team then uses this objective to drive a work project. What does this scenario describe?

using metric goal

When considering the benefits and challenges of big data, which of the "four V words" describe the amount of data being analyzed?

volume