DATA ANALYTICS CHALLENGES

Data Analytics is not as simple as it provides the outcome, apart from its simplicity it is much more a challenging tool for a data analyst because data analytics is used to analyze the raw data and providing an informative visualized report to the companies owner to take decisions accordingly, moreover, data analytics plays an important role in the profile of managers managing the risk those may bring a huge downfall to the company, so we can say that it is an helping hand yet it is a challenge to analyze the huge amount of data which is named as big data in technical world.

Below we are going to understand about the challenges of data analytics. So let's start…

Challenges

·       The volume of Data: Data is increasing every day and it is a challenge for the analyst to analyze this huge amount of data, moreover, companies require to hire more data analysts to decrease the data analysis time and provide a better outcome.

·       Carbon Copy: With the increase of the users in the digital world there are more chances of duplication of the data due to which it becomes much more challenging for the analyst to analyze the data because firstly they need to extract the duplicate data which requires more time and would affect the report at the end.

·       Lack of Skill: To experience the benefits of Data Analytics tools it is important for one to have previous knowledge and skills related to this field and most of the industries are lacking these skilled employees, moreover, data analytics tools provide the detailed pieces of information mostly in graphs and charts representations and it could be challenging for one to understand those charts and prepare a report so that others could understand and the company owner could take positive decisions for growth.  

·       Inadequate Data: It is a challenging task for an analyst to get complete set of data because the data is being produced by millions of users every day at various sources. So when data is extracted for a particular subject from various sources, there are more chances of getting incomplete data which makes analysts and managers frustrate due to which the project gets delayed.

·       Storage: Storage can be a challenge for many companies as well as analysts because it is hard and costly to store a large volume of data at a time, moreover, the pressure on the data analyst from the top increases as the data needs more storage space and company could not afford to spent money on the storage, so it becomes a challenging task to adjust whole data within the storage provided.

·       Data Variety: There are variety of data for the same data for example if you search a name of a person on the internet you may get number of results for that name, now it becomes confusing for you to choose the correct information and learn about it, so like this it is a challenging task for an analyst.

After going through the challenges as discussed above, one can be aware and start working on these challenges and prepare accordingly and if one faces any challenge akin to as discussed above, in future, one can handle them smoothly and prove to be a precedent data analyst for others but all this need a meticulous approach.

 

Thank you for devoting your time, hope you have imbibe something today. 

Have a great day.