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DA-100 Analyzing Data with Microsoft Power BI With Questions And 100% SURE ANSWERS
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DA-100 Analyzing Data with Microsoft Power BI With Questions And 100% SURE ANSWERS
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JACKLINEDA-100 Analyzing Data with Microsoft Power BI With Questions And 100%
n4 SURE ANSWERS
Terms in this set (1033)
the life and journey of a data analyst:
skills
tasks
In the learning path "Get started with Microsoft processes
data analytics," what do you learn about?
...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 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
- transactional data in a traditional database
What types of data that are being generated
- telemetry data from services that you use
each day in an organization?
- signals that you get from different areas like social media
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, 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.
Describe that data the a retail business collects
and stores. 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 can be
applied in the short-term.
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:
- age
- preferences
- buying patterns
- location
- and more
What is the challenge that organizations have understanding and using their data to positively effect change within the business.
today regarding their data and information?
We have an expert-written solution to this problem!
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