لخّصلي

?This includes gathering data from various databases, applications, and online repositories.Whether you have the right mix/breadth (and skills depth) of domain experts, customers, analytic team, and project management to form an effective team ?Data characteristics: Structure, types, formats, scope, volume, velocity ?This step involves identifying potential data sources, both internal and external, that are relevant to the business problem at hand.They can seek help from domain experts.??????

 The first phase of the Data Analytics Lifecycle is the data discovery step.
 Learn about the business domain
 The data science team learns about the business domain, including relevant history such as whether the organization or business unit has attempted similar projects in the past from which they can learn.
 They can seek help from domain experts.
 Assess available resources & Form the project team
 They assess the resources available to support the project in terms of people, technology, time, and data.
 Whether you have the right mix/breadth (and skills depth) of domain experts, customers, analytic team, and project management to form an effective team
 Assess and begin learning about the data
 Data characteristics: Structure, types, formats, scope, volume, velocity
 This step involves identifying potential data sources, both internal and external, that are relevant to the business problem at hand.
 This includes gathering data from various databases, applications, and online repositories.
 This step also includes any activities you need to perform to transform existing data if needed
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