mis2020-data analytics

Data that has been collected internally by the organization is known as

first party data

Characteristics of spreadsheet include which two of the following

information is organized into cells data is structured in rows and columns

SQL allows users to isolate specific information contained in a database, as well as to aid in the selection, creation, addition, and extraction of data from a database. SQL stands for

structured query language

The graphical and structured representation of data is known as data

visualization

there are three main tools, data analysis and other members of an organization used to analyze data. They are spreadsheets, databases, inquiry, languages, and data

visualization tools

Which of the following is a popular Microsoft data analytics program that offers business intelligence, as well as data visualization

Power BI

someone who possesses the knowledge of processing software, business, strategy, and analytical skills to deliver data and reports that guide management and executives as they create well informed decision making is known as data

analyst

improving decision making, customer service, production and operations processes are just a few of the trends in data

analytics

the process of investigating raw data of various types to uncover trends and correlations, and to answer specifically crafted questions is the role of data _

analytics

Data analyst are likely to have achieved my education level Wendi getting their career

bachelors degree

because many business executives desire to create a data-driven decision making culture, which 3 of the following are competencies organizations invest to support DDDM

building a data-driven community agility in analytics and data analysis data proficiency

Data analysis must blend facts and data with knowledge about the

business or organization

analytical skills necessary for a data analyst include the characteristics and capabilities that allow for the observation, research, and interpretation of a problem or change in a desired state. according to google, there are five essential aspects of analytical skills including which 3 of the following

curiosity data strategy understanding context

according to tableau, data driven decision making (DDDM) is the uses which of the following to guide strategic business decisions that align with organizational goals, objectives, and initiatives

data facts metrics

A simple formula that can be used to define success is

data + organizational knowledge = problem solved

trends in data analytics include

data analytics as a core business function, scalable ai, composable data

trying to answer questions such as, "what happened?" or, "what is occurring?" or "what is the roi?", is the role of

descriptive analytics

entry level data analysts frequently start with no prior _, but go through extensive on the job training that teaches them how to apply information learned in college as well as training on organizational policies and procedures

experience

Microsoft analytics software that allows for the processing manipulation and visualization of data is called Microsoft

power bi

the 6 step process analysts use to create data driven decision making includes which 3 of the following

prepare ask analysis

when working in Microsoft power BI which three tiers are available

pro premium desktop

A major trend and data analytics is the use of artificial intelligence to focus on small data, which is more precise, using small data sets that are capable of impacting decisions in the present. This is known as _ ai

scalable

Data driven decision-making can be facilitated through a six step process set of ask prepare process analysis, share, and act, which of the following steps refers to creating visualizations and presentations for key stakeholders

share

Which program is typically link to one user at a time

spreadsheet

which of the following is a popular data analytics program that offers business intelligence, as well as data visualization

tableau

working on data analytics teams to extract data from large data sets, creating reports that outline key findings, monitoring key performance indicators (KPIs) to identify success or failure, and analyzing data to identify trends are just a few of the responsibilities of a data

analyst

curiosity, understanding context, having a technical mindset, data design, and data strategy are the 5 essential aspects of _ thinking and skills

analytical

the process of taking components from data sources and analytics platforms to create a more user-friendly experience that makes finding critical insights easier is called _ data and analytics

composable

The 3 step data visualization process is comprised of which of the following

create your visuals planning for visuals explore data sets for patterns

key skills required of data analysts include which 3 of the following

experience with sql and computer code oral communication skills technical writing skills

in the six step process analysis to create data driven decisions, the step which data cleansing occurs to ensure the high-quality data is ready for processing is the _ step

process

When selecting the right data, it is important to be aware of the source of the data for example, data that is sold by an entity that did not actually collect. The data is considered.

third party data

When working in tableau users can assume which 3 roles

explorers creators viewers

Select three critical factors to consider when determining the right data to select

how will the data be collected what types of data do you need to solve a specific problem how much data should be collected

uses of data analytics include which 3 of the following

improved customer service improved decision making improved patient experiences and internal procedures in healthcare

the 3 step data visualization process consists of exploring the data sets for patterns, then planning for visuals and finally

creating your visuals

questions that data analysts often ask include which 3 of the following

what are the time constraints for the project what overall outcomes and results that are needed who will receive the information and analysis