5 Things that You Cannot Anticipate Big Data to Accomplish For You

Big Data has heralded a new era for business. A vast number of enterprises from around the world have accepted Big Data initiatives with a view to attain fast and impressive results. However, not all enterprises succeed in achieving miraculous results that they expect from Big Data.

In fact, some of the enterprises have realized that to gain significant benefits Big Data requires the input of a lot more efforts than they had anticipated.

The general idea held by many business organizations is that Big Data will help them attain a competitive position in the market and improve their performance in terms of delivery of products and services.

Often this idea leads business organisations and enterprises to build false expectations from Big Data – benefits that cannot be achieved until one inputs the right amount of effort to materialize them.

Big Data

Big Data. Source Venturebeat.com

Let us have a look at the 5 things that Big Data cannot achieve for us unless we take the right steps to make them a reality:

1. Provide solution pertaining to your business issues

Big Data is not a magic wand that can be used to dig out solutions for your business problems. It is the responsibility of people involved in an organization to look for answers to solve their business problems. Big Data can only be a medium to achieve the desired results.

Business organizations or enterprises must decide what objective they aim to derive from Big Data before embracing it. Only then they will succeed to unleash the true potential of Big Data.

2. Facilitate the management of your data

Today data is generated in the tune of quintillion bytes on a daily basis. Each day the generation of data is attaining bigger proportions. Needless to say, maximum amount of this data can be easily categorized as Big Data.

This means the amount of data that has to be managed by organizations and companies around the world is also growing at an exponential rate.

The problem pertaining to this phenomenon is that data is piling up without any specific policy that defines their retention and usage. This is true even in case of Big Data. As such, enterprises and organisations from across the world are facing a hard time to manage the vast amount of data.

3. Minimize your concerns for security

Big Data has definitely made progress in terms of impacting various aspects of our business. However, the issue of security access for Big Data is still an open concern for several companies dealing with this vast wealth of information.

The main concern is that security practices for Big Data are not specified as clearly as they are for data pertaining to systems of record.

One way to resolve the issue is to permit IT to work in combination with end users to agree and establish the access rights for different levels of Big Data and the analytics corresponding to each level.

4. Tackle essential IT skill areas

Big Data is a relatively new field with only a small section of people gaining expertise about how to handle it. There is a shortage of people who are skilled to efficiently handle various aspects of Big Data, including database management, software development, server management and business analysis.

The lack of these skills increases the burden of a core set of human resources having expertise in handling critical IT issues. The problem is aggravated due to the fact that several departments already lack resources with such critical IT skills.

5. Improve the quality of your data

One of the major differences between the data used in traditional transaction system and Big Data is the quality of data. Traditional transaction systems involve data that have fixed lengths for data field. Validations and edits on the data allow it to attain a relatively clean form.

However, this is not possible for Big Data. This is because Big Data involves unstructured data that comes in various forms. This implies that the quality of Big Data can be a cause of major concern for organizations and enterprises.

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