14. Limitations of predictive analytics:
1. Processing power: PCs may struggle with the heavy calculation requests of analysing large datasets.
2. Storage limits: Storing and accessing huge amounts of data might go beyond the storage capacity of standard PCs.
3. Data quality: Big data often contains errors, making accurate analysis challenging without strong cleaning tools.
4. Expandability: PCs may not expand well to handle truly massive datasets without specific infrastructure.
5. Memory limitations: Limited memory on PCs may slow down processing large datasets efficiently.
6. Security risks: Handling sensitive data on PCs increases security concerns compared to specific server setups.
7. Maintenance challenges: Establishing and manging big data analytics on PCs requires experience and continuing support.
Basically, while PCs can be used for big data analytics, they have limitations in power, storage, expandability, security, and maintenance compared to more strong system options.
Limitations of predictive analytics
