Big Data Hadoop: The Primary Approaches to Enhance the Hadoop ROI

With the espousal of any new technology, business enterprises are tasked with evaluating their success and showcasing value to the company and Big Data is not any different.

As your interest in Big Data evolves, the value of the latest technology platforms which delivers it have to be cautiously calculated and exhibited to the rest of the company. Hadoop analytics is one of the most preferred platforms for managing and evaluating Big Data and it is a widespread myth that forecasting and deriving ROI through Hadoop deployments is very difficult. 

This inadequacy of assessment slows down the adoption of Big Data and its benefits, but the latest big data Hadoop tools help organizations get over these inadequacies easily and help them evaluate their big data and reap all benefits efficiently.

Whether you are already leveraging Big Data or you are planning to deploy it, there are right approaches to predict and extract ROI easily by shifting your strategy to find the most value.

Hadoop Analytics-Thumping Hard On the ROI Wall through Do-It-Yourself Big Data:

When any business enterprise is already leveraging Big Data benefits, but are handling its execution manually or with the best infrastructure cloud provider, they certainly reach a point wherein the system just stops scaling smoothly. Conventional big data platforms are big, distributed systems having complex components, which makes scaling them difficult.

When your company has hit this wall, your financial gain protrusions also stall, but this is not an indication that your Big Data initiatives won’t help you reap any benefit at all. Instead it signifies that you require shifting your concepts and probably the way you operate Hadoop analytics. For boosting your ROI, try adopting technologies which assist your business do the following:

• Improve Data Scientist Efficiency: Usually business enterprises make use of their in-house costly, analytical human resources to act as operations resources for scaling Hadoop, but they must employ the latest technology solutions which assist them in mitigating job failures, speed up job completion times and boost job trustworthiness. Through shifting to a solution which includes functional support, like a Hadoop-as-as-Service (HaaS) solution, costly data science resources are free to concentrate on job outcomes.

• Trim Down Employment Costs: Switching to an infrastructure which is perfectly optimized for big data Hadoop will help you run business operations more smoothly and reduce job failures. This significantly trims down the required employment costs to manage and maintain Hadoop executions.

While you have decided to enter into a new form of big data Hadoop execution, evaluate the quantifiable ROI through finding amplified data scientist productivity, decreased labor costs and abolition of costs because of wasted compute cycles.

How to Envisage Prospective ROI for Business Enterprises That Are New to Big Data?

For business enterprise that has not started making use of Hadoop analytics, determining the future Hadoop ROI and quantifying the benefits of unknown Big Data insights gets a bit tough and lengthy. Check out below two solutions which enhance future Hadoop ROI:

• Rather than hiring few in-house engineers and purchasing the right equipments to benefit from the big data insights, work with a professional HaaS solution provider, as they provide the required big data Hadoop expertise and deliver a reduced total ownership cost and more predictable costs eventually, thereby help you in fetching more dependable ROI calculations and improved overall results.

• An highly experienced  and professional Hadoop solutions provider will get your company up and running through a proof of concept (POC) which addresses a clear problem and helps you in predicting the real benefits of a Big Data investment in making easily.

So, if you are choosing the right technique to deploy and get access to business operations expertise then, predicting and attaining future ROI on big data Hadoop deployments gets even more purposeful step toward amplified analytical insight and enhanced business outcomes.