In Hindu mythology, there is a concept of Trimurti which means “three forms”. This concept accommodates the cosmic functions of creation, maintenance and destruction by the forms of Brahma the creator, Vishnu the maintainer and Shiva the transformer or destructor. The goodness about the concept is the functions of God starts even before the birth and continues till the infinite end. That is, God never says, you have been created and I’m out of the game but rather the functions have been so distributed that he is there all throughout the hue and cry (at least sometimes). Point to be noted is, there is very clear similarity between these “Cosmic” functions and the everyday engagement models that are being used in the supply chain analytics of the modern enterprises. Managed services engagement is similar to Trimurti where partners walk in the client’s shoes through the road they want to travel and help them solve the problems that come in the way.
Philosophically as well realistically, the solution to any problem falls in a lifecycle of creation, maintenance and transformation but unfortunately sometimes even the modern enterprises fail to understand this cycle. Most of the times, to their perennial problems in Supply Chain, they want their partners to solve the problem on a project basis. But sometimes, this failure of enterprises to envision that only a managed services model can provide a sustainable solution to problems leads to wastage of precious resource of time and Money!
Let’s think about an example why a project based consulting alone is just not enough. For an example, let us imagine a technology company wants to refine its demand forecast accuracy and they want the project to be delivered in 3 months. Three months passes by, the partner delivers the forecasting model with 80% accuracy which is the best in class among the rest of the forecasting model available in the enterprise. Now what happens? The partner is out of the project and the client has the demand planning model. Two months passes by model becomes weak and in the next two months the model further deteriorates by various other factors and now it becomes a redundant and yet another unusable forecast in the system. Now, time and resource invested in building a model has gone in vain within a four month closure of the project. I’m sure you will agree to this.
Now, think about a scenario where your partner is working with you in a managed services model on the same model. He builds the model for you in three months, maintains the model and when it requires a transformation, he helps you create the required transformation. He will not only stop there but will say, what would be the best model to be used from the bag of models that the organization has based on various criteria. He will also build you a dashboard to show its performance and to provide you with a single view of truth across multiple systems. And at the end of 12 months, your whole demand planning would have seen a transformation which you would have wanted. With this, every resource and time spent by the organization will have its highest return!
Yes, success of any project can be defined by three important parameters, the ability to coordinate an enterprise wide adoption, business impact it brings to the organization and the amount of industry best practices it brings to the organization. With these parameters, we will compare the Managed services model with a piece meal project execution.
The adoption percentage, business impact and the best practices that Managed Services can bring to an enterprise are really huge. In simple words, Managed Services will operationalize analytics in your organization.
There are a lot of questions that arises on how the managed services work and how impact is delivered to the clients. In the next blog, we will speak more about how Analytics can be operationalized through managed services.
If you have any questions or alternate view point on the same, please feel free to drop a comment below.
This blog is written by Alagiri Samy, Analytics Consultant at BRIDGEi2i. Alagiri is also a contributor for Supply Chain Asia and a former Editor in chief for MAARS india. He is recognized as one of the top 180 bloggers in the field of Big Data & Analytics by Data Science Central.
About BRIDGEi2i: BRIDGEi2i provides Business Analytics Solutions to enterprises globally, enabling them to achieve accelerated business impact harnessing the power of data. Our analytics services and technology solutions enable business managers to consume more meaningful information from big data, generate actionable insights from complex business problems and make data driven decisions across pan-enterprise processes to create sustainable business impact. To know more visit www.bridgei2i.com
The views and opinions expressed in this article are those of the author and do not necessarily reflect the official position or viewpoint of BRIDGEi2i.