Weekly challenge 1

People analytics

- gaining insights that help create a more productive workplace - collecting and analyzing information on employees - collaborating with stakeholders

What tactics can a data analyst use to effectively blend gut instinct with facts?

-Apply their unique past experiences to their current work, while keeping in mind the story the data is telling. -Use their knowledge of how their company works to better understand a business need.

What do subject-matter experts do to support data-driven decision-making?

-Validate the choices made as a result of the data insights -Review the results of data analysis and identify any inconsistencies

dataset

A collection of data that can be manipulated or analyzed as one unit

data science

A field of study that uses raw data to create new ways of modeling and understanding the unknown

Data-driven decision making

An airline collecting, observing, and analyzing its customers' online behaviors, then using the insights gained to choose what new products and services to offer

Select the best description of gut instinct.

An intuitive understanding of something with little or no explanation

share

Communicating and interpreting results

analyze

Data exploration, visualization, and analysis

act

Putting your insights to work to solve the problem

A data analyst finishes analyzing data for a marketing project. The results are clear, so they present findings to the client and ask for conclusions and recommendations. What should they have done first?

Shared the results with subject-matter experts from the marketing team for their input

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.

Subject-matter experts

subject-matter experts

The people very familiar with a business problem are called _____. They are an important part of data-driven decision-making.

Data-driven decision-making

The process of using facts to guide business strategy

data

a collection of facts

The six steps of the data analysis process that we've been learning in this program are

ask, prepare, process, analyze, share, and act.

prepare

by building a timeline and collecting data with employee surveys, which should be inclusive.

process

by cleaning it to make sure it was complete, correct, relevant, and free of errors and outliers.

what term describes a collection of elements that interact with one another

data ecosystem

data ecosystem

is a group of elements that interact with one another.

Data Analysis

refers to the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making.

Data Ecosystem

refers to the various elements that interact with one another to produce, manage, store, organize, analyze, and share data.

ask

to define both the issue to be solved and what would equal a successful result.