# data[].attributes.headline
multilevel architecture refers to a software engineering which presentation, application processing and data management functions are physically separated.

# data[].attributes.subject
multilevel architecture refers to a software engineering which presentation, application processing and data management functions are physically separated.

# data[].attributes.headline
In information technology, data architecture is composed of models, policies, rules or standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.

# data[].attributes.subject
In information technology, data architecture is composed of models, policies, rules or standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.

# data[].attributes.headline
we have three levels of business record, so firstly, the site which refers to the location of the company, the office store, shipping and billing, then moving to the parent company section that refers a unique identifier such the DUNS number and the ABI code, and lastly, the contacts which basically focuses on various types of induvial that have a relationship with the company, such as gate-keeper, and influencers. 

# data[].attributes.subject
we have three levels of business record, so firstly, the site which refers to the location of the company, the office store, shipping and billing, then moving to the parent company section that refers a unique identifier such the DUNS number and the ABI code, and lastly, the contacts which basically focuses on various types of induvial that have a relationship with the company, such as gate-keeper, and influencers. 

# data[].attributes.body
Companies tend to gather data by themselves rather than receive or get it from other companies

Data can be gathered, through surveys, interviews,  observations, and records

# data[].attributes.headline
Data hygiene is the process of ensuring that a company has clean data. This means that data is free of errors, consistent and accurate. Cleaning data prevents companies from struggling with the issues caused by dirty data. Data is seen as dirty when there is duplicate information, incomplete or outdated data. so keen attention to data hygiene is particularly important in B2B

# data[].attributes.subject
Data hygiene is the process of ensuring that a company has clean data. This means that data is free of errors, consistent and accurate. Cleaning data prevents companies from struggling with the issues caused by dirty data. Data is seen as dirty when there is duplicate information, incomplete or outdated data. so keen attention to data hygiene is particularly important in B2B

# data[].attributes.body
- it prevents data decay
- wasting time and resources on on leads that aren't even receiving the messages
- inactive users can lead to a higher bounce rate

# data[].attributes.headline
Marketers store two types of data in their database, data of customers and prospects. Customers are who they already interacted with, so they store their information. Prospects are people or companies they want to work with in the future, so they store information about them to use them in the future. 

# data[].attributes.subject
Marketers store two types of data in their database, data of customers and prospects. Customers are who they already interacted with, so they store their information. Prospects are people or companies they want to work with in the future, so they store information about them to use them in the future. 

# data[].attributes.headline
data hygiene is the process of ensuring that a company has clean data bc a lot of employee and business go and come 

# data[].attributes.subject
data hygiene is the process of ensuring that a company has clean data bc a lot of employee and business go and come 

# data[].attributes.headline
Examples of prospects:- Foundation Businesses- Strategically Expanding Businesses.- Intensively Developing and Expanding Businesses

# data[].attributes.subject
Examples of prospects:- Foundation Businesses- Strategically Expanding Businesses.- Intensively Developing and Expanding Businesses