Limitations of Big Data

Big Data Analytics is the new development in the IT market. Currently across the globe organizations are planning to collect large scale data and how does a customer decide based on marketing strategy. Here is a list of limitations for marketing analytics:

1. Biased fundamental User Data

Since the consumer base is large there is a limitation in getting all the information about the consumer.

2. User-Level Execution

Attribute level targeting is done, since there are lots of platforms to apply.

3. User-Level Results cannot be estimated directly

The analytics can be done through visualization techniques with the help of flow diagram.

4. Defining Algorithms is difficult

One way of analysing complex data is by breaking it into smaller components and then analysing the small data set. So we can make predictions and changes for the same.

We can use algorithmic methods to analyse the data.

5. Insufficient User Data

We need to apply model to tap the customer segments.

6. User-Level Data

The data has to be monitored regularly. Data must be free from noise since it takes a lot of time to clean up the data.

7. Inaccessible User Data

Since security is the major reason, data is not accessible for anybody and it should be properly transferred from one machine to the other machine. For this reason technical know-how is essential, so that we handle data in an efficient manner when it comes to big data. So working with big data requires a lot of efforts.

We can see there are lots of limitations while working on big data, we must understand that Big data has the potential to work more effectively on smaller chunks on data since analysis is easier.

But nevertheless Big data holds a great future in IT market in the coming years. So try investing your capabilities in Big data for the future.

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