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New Mexico Educational Retirement BoardREQUEST FOR PROPOSALS (RFP)Data Analysis, Cleansing and Conversion Services RFP# 23352112802317 RFP Release Date: November 28, 2022, Proposal Due Date: January

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How to fill out data analysis cleansing and

01

Identify the data sources that need cleansing

02

Remove duplicate entries

03

Standardize formats and values across all data fields

04

Handle missing or null values using imputation techniques

05

Remove outliers and inconsistencies in the data

06

Verify data quality and accuracy through data profiling

07

Document the data cleansing process to ensure repeatability

Who needs data analysis cleansing and?

01

Data scientists

02

Data analysts

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Business analysts

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Data engineers

05

Any organization dealing with large volumes of data

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What is data analysis cleansing and?

Data analysis cleansing is the process of cleaning and preparing data for analysis by removing inconsistencies, errors, and duplicates.

Who is required to file data analysis cleansing and?

Any individual or organization that needs to analyze data should conduct data analysis cleansing.

How to fill out data analysis cleansing and?

To fill out data analysis cleansing, you need to identify the data sources, clean the data, and prepare it for analysis.

What is the purpose of data analysis cleansing and?

The purpose of data analysis cleansing is to ensure that the data used for analysis is accurate, reliable, and consistent.

What information must be reported on data analysis cleansing and?

The information reported on data analysis cleansing includes the data sources, cleaning methods used, and any issues encountered during the process.

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