Let's take a look at different kinds of use cases for Big Data analytics. Broadly, Big Data analytics use cases are classified into the following five categories:
Customer analytics: Data-driven customer insights are necessary to deepen relationships and improve revenue.
Operational analytics: Performance and high service quality are the keys to maintaining customers in any industry, from manufacturing to health services.
Data-driven products and services: New products and services that align with growing business demands.
Enterprise Data Warehouse (EDW) optimization: Early data adopters have warehouse architectures that are 20 years old. Businesses modernize EDW architectures in order to handle the data deluge.
Domain-specific solutions: Domain-specific solutions provide businesses with an effective way to implement new features or adhere to industry compliance.
The following table shows you typical use cases of Big Data analytics:
|
Problem class |
Use cases |
Data analytics or data science? |
|---|---|---|
|
Customer analytics |
A 360-degree view of the customer |
Data analytics and data science |
|
Call center analytics |
Data analytics and data science | |
|
Sentiment analytics |
Data science | |
|
Recommendation engine (for example, the next best action) |
Data science | |
|
Operational analytics |
Log analytics |
Data analytics |
|
Call center analytics |
Data analytics | |
|
Unstructured data management |
Data analytics | |
|
Document management |
Data analytics | |
|
Network analytics |
Data analytics and data science | |
|
Preventive maintenance |
Data science | |
|
Geospatial data management |
Data analytics and data science | |
|
IOT Analytics |
Data analytics and data science | |
|
Data-driven products and services |
Metadata management |
Data analytics |
|
Operational data services |
Data analytics | |
|
Data/Big Data environments |
Data analytics | |
|
Data marketplaces |
Data analytics | |
|
Third-party data management |
Data analytics | |
|
EDW optimization |
Data warehouse offload |
Data analytics |
|
Structured Big Data lake |
Data analytics | |
|
Licensing cost mitigation |
Data analytics | |
|
Cloud data architectures |
Data analytics | |
|
Software assessments and migrations |
Data analytics | |
|
Domain-specific solutions |
Data analytics and data science | |
|
Industry-specific domain models |
Data analytics | |
|
Data sourcing and integration |
Data analytics | |
|
Metrics and reporting solutions |
Data analytics | |
|
Turnkey warehousing solutions |
Data analytics |