In the current trend, the word Big Data refers to data being available all over the place in an unstructured way.  To make it structured, readable and available to all the sources, Big Data is the technique that was formed.  In the past, few years, technologists and various corporations joined together to have this data catered using various technologies (Hadoop, NoSQL, Python, R, etc.) to segregate the data and provide the same in some readable format (Data Visualization, Data Aggregation). 

Though the above seems to be more theoretical and achievable in nature, whereas if the corporation does not know how to consume these types of data to have a better realization, then investing time in these technologies can become a complete waste.  Hence, based on this, the organization should understand the following difficulties that are involved such as:

  • How to extract the level of data deeper (Parent → Child → Grand Child → Great Grand Child).
  • Once the deeper level of data is identified, how to utilize and cater to organizational use.
  • While extracting, there are various factors to decide and these decisions must come from the core business team.
  • Appropriate skills and associated costs to benefit after the implementation of big data.

When the Big Data was introduced, the concept was completely misunderstood initially, and the organization was chasing against the data and not clear about their want and why.  Irrespective of it, they were chasing it without any determined scope and benefit.

In my opinion, Hadoop helped to increase the fame of Big Data and this was originally founded by Yahoo to perform various Data Analytics / Analysis and other similar activities.  Hadoop helped to store a large volume of data allowing businesses to collect more data and store it for future use.  Thus, in my opinion, Big Data grew as a “Buzz Word” as the technology behind it was supporting the same.

Though Hadoop is used to store a large volume of data, and business could not determine the purpose of the same in determining how this can benefit the overall organization.  Based on this, the return of the benefit to the organization is very little and the value realization overall still has a long way to go until it can be considered as achieved. To justify this and the value realization below is the hype graph that was generated and presented on Gartner’s website. Gartner’s 2014 Hype Cycle.

The above graph clearly states, the Peak of the Inflated Expectations, and Trough of Disillusionment can be achieved (or Plateau will be reached) within the next 5 to 10 years.  Based on this, the maturity of Big Data and the power behind it is still in the inception phase of realization.

Big Data & Project Management:

Though the Big Data is currently being considered as the growing technology trend and to initially setup the roadmap Project Management plays a vital role where clients are on the look out of using PM techniques that include Agile to speed up and setup the base foundation for the Big Data journey. 

Utilization of Agile technique to sanitize the data and store the same using Hadoop is the prime focus for any organization, such that they can integrate data visualization tools like “Tableau”, “Pivotal” to visualize trends and patterns of data graphically.  In fact, the latest IBM Watson (Advanced Data Analytics) is used to identify trends and pattern of the cancer cell behavior in the human brain, such that Pharma companies can provide necessary drugs to cure cancer at early stage.

To achieve various building blocks of the Hadoop / Big Data, PM techniques helps to develop products and test the same using the iterative approach to ensure a robust technology is built to cater the clients. 

Value Realization:

In order to have the Big Data converted to value realization, it is imperative to any organization that early adoption of Big Data has to be appreciated along with the need for structural change, costs, and skills involved.  Moreover, the transformation of unstructured to structured data requires cooperation from business and technology folks to ensure the final set of data is in a usable format. This will help to perform analysis of the data pattern and to provide a various recommendation for any future prospects or leads. 

To have a better ROI and reaping the benefits to any organization, in my opinion, early adoption of Big Data along with planning is very much required to avoid any disruption of costs, skills that are associated with hardware, software and similar other components. 


The above analysis and details shared are of my personal opinion.  Though based on the current technology trends, all the devices are getting smaller, whereas the volume of data is phenomenally increasing at a faster rate.  To cope up with this, the organization should be aware of security and related issues which can directly impact the ROI in the long run. 

In my opinion, Big data is still considered to be a buzz word and to realize the full benefit, it is a long journey, whereas that long journey can be shortened using proper planning, early adoption, closing the skill gap, acceptance, and approvals from Stakeholders and business communities.


Tell me your thoughts in the comments and let’s open a dialog. I would be excited to hear other opinions on this topic.

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Sridhar Kethandapatti

Sridhar Kethandapatti

Contributing Author

Sridhar has been associated with the IT industry for the past 20+ years with a prime focus in:

• Project and Portfolio Program Management: Expert at delivering large-scale projects within the allotted budget and period while mitigating risks in collaboration with teams of project, sustainment and service leaders, coordinators, and technicians

• Strategic Planning and Implementation: Adept at creating and implementing strategies to increase project agility, optimize operational efficiency, and substantially reduce cost

• Business Consulting: Equipped with the ability to provide professional consulting to various clients based on their needs• Customer Relationship Management: Effective at establishing and maintaining strong relationships with business and IT stakeholders, covering the entire commercial, risk, and opportunity development aspects of the services provided

• Interpersonal Coordination and Team Building: Efficient at serving as an escalation point for the customer, while working with service managers from outsourcing service lines based on SLAs and client expectations; as well as serving as vice president of memberships at ABPMP, Toronto Chapter and board member of IPMA Canada

• PMO: Instrumental in establishing PMO for Financial and Insurance clients to adapt PMO Process and procedures to the customer. As part of the PMO built a center of excellence to manage various PM & Portfolio standard and manage both onshore and offshore clients.

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