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LATEST UPDATE FOR TESTBANK: DA-100 Analyzing Data with Microsoft Power BI. ALL CHAPTERS 1- 28 COVERED! QUESTIONS AND 100% CORRECT ANSWERS 2024$13.99
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LATEST UPDATE FOR TESTBANK: DA-100 Analyzing Data with Microsoft Power BI. ALL CHAPTERS 1- 28 COVERED! QUESTIONS AND 100% CORRECT ANSWERS 2024
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Course
DA-100 Analyzing Data with Microsoft Power BI
Institution
DA-100 Analyzing Data With Microsoft Power BI
LATEST UPDATE FOR TESTBANK: DA-100 Analyzing Data with Microsoft Power BI. ALL CHAPTERS 1- 28 COVERED! QUESTIONS AND 100% CORRECT ANSWERS 2024
In the learning path "Get started with Microsoft data analytics," what do you learn about?
the life and journey of a data analyst:
skills
tasks
pro...
ALL CHAPTERS 1- 28 COVERED!
QUESTIONS AND 100%
CORRECT ANSWERS 2024
,In the learning path "Get started with Microsoft data analytics," what do you learn about?
the life and journey of a data analyst:
skills
tasks
A
processes
VI
...they go through in order to tell a story with data so trusted business decision can be
made
TU
- how the suite of Power BI tools and services are used by a data analyst to tell a
compelling story through reports and dashboards, and the need for true BI in the
enterprise
What types of data that are being generated each day in an organization?
IS
- transactional data in a traditional database
- telemetry data from services that you use
M
- signals that you get from different areas like social media
O
Describe that data the a retail business collects and stores.
in-store browsing behavior
A
sales
purchases
N
pages visited on their site
the aisles in which purchases were made
JP
spending habits
...and much more
Retail analytics focuses on providing insights related to sales, inventory, customers, and
other important aspects crucial for merchants' decision-making process.
,The discipline encompasses several granular fields to create a broad picture of a retail
business' health, and sales alongside overall areas for improvement and reinforcement.
Essentially, retail analytics is used to help make better choices, run businesses more
efficiently, and deliver improved customer service.
The field of retail analysis goes beyond superficial data analysis, using techniques like
data mining and data discovery to sanitize datasets to produce actionable BI insights that
A
can be applied in the short-term.
VI
Moreover, companies use these analytics to create better snapshots of their target
demographics. By harnessing sales data analysis, retailers can identify their ideal
customers according to diverse categories such as:
TU
- age
- preferences
- buying patterns
- location
IS
- and more
M
What is the challenge that organizations have today regarding their data and information?
understanding and using their data to positively effect change within the business.
O
We have an expert-written solution to this problem!
A
A retail business should be able to use their data in such a way that impacts the business,
including what?
N
- detecting user trends and patterns
- recommending purchases
- determining price optimizations
- identifying and stopping fraud
- identifying daily/monthly sales patterns
- performing trend analysis
- performing period over period analysis
, What is the key to unlocking business data?
being able to tell a story with it
What does crafting reports that tell a story do?
It helps business leaders take action on the data.
A
Business decision makers depend on what to drive better business decisions?
VI
an accurate story
TU
What is the benefit to a business of making fast, precise decisions?
The business will be more competitive, with a better advantage
IS
What do businesses need to be able to do with their data?
act on the data to effect change within the business
M
What types of change might occur when acting on the data?
O
- reallocating resources within the business to accommodate a need
- identifying a failing campaign and knowing when to change course
A
- adjusting...prices, inventory, purchasing, assortment
N
JP
What comes first in using data to drive business decisions?
business leaders partnering with data professional within your organization, such as data
engineers and data scientists
What do data professionals within your organization do?
help get the data that you need to tell the story that allows business decision makers to act
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