Top 5 Fields in an Organization where Hadoop Skills are High in Demand

Organizations still using old legacy systems have data spread across many systems. Organization’s big data spread to different locations makes the processing speed go very down along with the accuracy of analyzing data. This calls for Big Data consolidation within an enterprise data hub which creates faster access of data resulting in deeper analytics.

With data being collected effectively, Big data allows unifying the unstructured, structured and semi-structured data sources on to one platform to aiding business decision making. This feature of Big Data Hadoop makes it higher in demand by various mid-sized & big organizations across the globe. In this post, we are listing down 5 major fields of an organization where big data Hadoop plays an important role and holds a special position across various departments.

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Top 5 Fields of an Organization where Hadoop Plays an Important Role

These are the top 5 departments of an organization where you can see a high demand for Big Data & Hadoop professionals:

IT Industry
There is a need for a versatile mix of members, in any IT team, with different tasks towards big data implementation.  For this, there arises a need for a specialist who ensures smooth transitioning from traditional systems to big data platforms.

A Big Data skilled professional can implement big data platform strengthening the IT skills within big data. According to McKinsey report of 2018, there will be a shortage of over 140,000-190,0000 professionals with deep technical and analytical expertise in Big Data.

So why don’t you make use of this opportunity learning Hadoop skills & fly high giving your career shining wings?

Finance

Handling money is a major responsibility of the finance department. Apart from functions like ‘planning, organizing, auditing, accounting and controlling, a finance role expands to other various activities like generating cash flow statements, cost modelling, prize realization and compliance to name a few. Earlier performing all these activities with limited systems and platforms was quite difficult, but in the age of big data, this department is changing scenario.

As a part of the challenge in the big data world, understanding financial ratios requires processing large chunks of information spread across the organization to make it in a standard format for analysis while simplifying the finance department’s task. Thus, Big Data skills are a priority that every organization must consider.

Human Resource

This department perhaps the most ignored among all departments when it comes to Big data implementation. The HR department the success of an organization so it’s no longer to be ignored in terms of Big data now!

According to Forbes, an average large company has more than 10 different HR applications and their core HR system is over 6 years old. This trend highlights the fact that an organization needs the correct resources to bring this data together. A Big Data skilled professional brings skills like data analysis, visualization and problem solving right from operational reporting to strategic analytics. He works on data of how to have more employee retention; factors affecting sales; quality of candidate pipeline and evaluating talent gaps & and take strategic steps through analyzing relevant data through it.

Support & Customer Service

The success of any product or service is based on the after-sale support i.e. the customer service department of the organization. Delivering from customer-oriented perspective is thus critical for organizational success. The customer Service team must be skilled with Big Data tools so that they can collect & resolve customer’s queries while effectively analyzing & resolving their issues.

Marketing

Marketing, today, allows measuring the response of ads, click-through-rate, impressions, ROI and so on. Data Metrics help obtain large chunks of data across at every point of customer interaction, social media & sales. It is up to the marketing professional to keep track of such data and use it for further effectiveness. Training in Big Data plays an essential role here since platforms like Hadoop help serve the purpose.

Conclusion

The significance of Hadoop doesn’t necessarily mean that every employee within an organization needs to be trained in the Big Data platform. But it would be of strategic advantage to identify and train those professionals who are in constant interaction with data.