Learn how to prepare data for AI in CRM with this guide. Find out what steps to take to determine data availability, such as identifying data sources, assessing data quality, and evaluating data accessibility.
Table of Contents
Question
Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM. What should the company do first to prepare its data for use with AI?
A. Remove biased data.
B. Determine data availability.
C. Determine data outcomes.
Answer
B. Determine data availability.
Explanation
The correct answer is B. Determine data availability. Data availability is the first step that Cloud Kicks should take to prepare its data for use with AI. Data availability refers to the quantity and quality of the data that the company has access to and can use for its AI purposes. Data availability can affect the feasibility and effectiveness of the AI solutions, as well as the time and cost required to implement them. To determine data availability, Cloud Kicks should:
- Identify the data sources and types that are relevant and useful for its AI goals, such as customer data, product data, sales data, etc.
- Assess the data quality and quantity, such as completeness, correctness, consistency, timeliness, and relevance, and identify any data gaps or issues that need to be addressed.
- Evaluate the data accessibility and usability, such as data format, data integration, data security, data privacy, and data governance, and ensure that the data can be easily and safely accessed and used by the AI systems.
Before using AI to optimize business operations, the company should first assess the availability and quality of its data. Data is the fuel for AI, and without sufficient and relevant data, AI cannot produce accurate and reliable results. Therefore, the company should identify what data it has, where it is stored, how it is accessed, and how it is maintained. This will help the company understand the feasibility and scope of its AI projects.
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