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DA-100 ANALYZING DATA WITH MICROSOFT POWER B1 EXAM QUESTIONS COMPLETE WITH DETAILED VERIFIED ANSWERS (100% CORRECT ANSWERS) /A+GRADED€13,67
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DA-100 ANALYZING DATA WITH MICROSOFT POWER B1 EXAM QUESTIONS COMPLETE WITH DETAILED VERIFIED ANSWERS (100% CORRECT ANSWERS) /A+GRADED
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DA-100 Analyzing Data With Microsoft Power
Instelling
DA-100 Analyzing Data With Microsoft Power
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
processes
...they go through in order to tell a story with data so trusted business decision can be made
- how the suite of Power BI tools and ...
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DA-100 ANALYZING DATA
WITH MICROSOFT POWER
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B1 EXAM QUESTIONS
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COMPLETE WITH
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DETAILED VERIFIED
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ANSWERS (100% CORRECT
ANSWERS) /A+GRADED
,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
processes
...they go through in order to tell a story with data so trusted business decision can be made
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- 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
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What types of data that are being generated each day in an organization?
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- transactional data in a traditional database
- telemetry data from services that you use
- signals that you get from different areas like social media
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Describe that data the a retail business collects and stores.
in-store browsing behavior
sales
purchases
pages visited on their site
the aisles in which purchases were made
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.
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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 can be
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applied in the short-term.
Moreover, companies use these analytics to create better snapshots of their target
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demographics. By harnessing sales data analysis, retailers can identify their ideal customers
according to diverse categories such as:
- age
- preferences
- buying patterns
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- location
- and more
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.
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We have an expert-written solution to this problem!
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A retail business should be able to use their data in such a way that impacts the business,
including what?
- tracking inventory
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- identifying customer purchase habits
- 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.
Business decision makers depend on what to drive better business decisions?
an accurate story
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What is the benefit to a business of making fast, precise decisions?
The business will be more competitive, with a better advantage
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What do businesses need to be able to do with their data?
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act on the data to effect change within the business
What types of change might occur when acting on the data?
- reallocating resources within the business to accommodate a need
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- identifying a failing campaign and knowing when to change course
- adjusting...prices, inventory, purchasing, assortment
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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
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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
What are aspects of building a data culture?
- telling the data story
- where the story is told
- who the story is told to
- making sure people can find the story and have appropriate access
- making sure data stories are part of regular interactions
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