For project at work I’ve had to quickly get myself up to speed with the components required to create a organisation wide data analytics infrastructure. The follow shows the basics of how the components fit together (as I understand it to date).
Logical Data Analytics Components
graph TD;
Bi([Business Intelligence])---Dm([Data Models]);
Dm---Lz([Landing Zone]);
Lz---Cbs([Critical Business Systems]);
- Business Intelligence covers all tools and methods of looking at data in order to provide answers to business questions.
- Data Models are developed for each Domain in the business to provided an amalgamated view.
- Landing Zone is where data from the sources is saved to make it available to the data models
- Critical Business Systems The various systems a business has
Conceptual Data Analytics Structure
The following shows how some of both technical and business aspects could be included.
graph TD;
Sa([Sales])-->Ss([Self Service])
Sa-->Ml([Machine Learning])
Sa-->Ai([Artificial Intelligence])
Fi([Finance])-->Ss
Fi-->Ml
Fi-->Ai
Mf([Manufacturing])-->Ss
Mf-->Ml
Mf-->Ai
Sc([Suply Chain])-->Ss
Sc-->Ml
Sc-->Ai
Dl([Data Lake])-->Sa
Db([Databases])-->Sa
Sg([Storage])-->Sa
Dl-->Fi
Db-->Fi
Sg-->Fi
Dl-->Mf
Db-->Mf
Sg-->Mf
Dl-->Sc
Db-->Sc
Sg-->Sc
Erp([ERP])-->Dl
Mes([MES])-->Dl
etc([etc])-->Dl
subgraph Business Intelligence
Ss
Ml
Ai
end
subgraph Data Models
Sa
Fi
Mf
Sc
end
subgraph Landing Zone
Dl
Db
Sg
end
subgraph Data Stores
Erp
Mes
etc
end