Digital Transformation part 3

Digital Transformation
Author: Axel Pieuchot Director of Analytics
Date: 15th August 2017
Categories: Technology, Data, Financial, Telecoms, Revenue Assurance, Fraud protection, Optimus, Neural Technologies, Big Data, Revenue Management, Digital Transformation, Digital Integration


In my previous blogs, I spoke about the similarity of the digital transformation process to a company-wide analytics project and then illustrated this with the introduction of an individual customer experience index. In this blog, I look into the tools required for a seamless digital transformation process.

The following list is a good starter for ten:

-          System and Data Integration: which requires a flexible platform to help you exchange data between your systems while enriching them with some ad-hoc content and context.

-          Data Storage and Visualization that fulfills your data governance requirements as well as your end-user needs (including customers & partners): This requires a solid data lake, no matter whether the data resides in-house or in the cloud. Note that it does not necessarily mean that you always need to lift and shift data all around the place (see the evolution of data virtualization).

-          Analytics (from ERP management scorecards to self-service BI, batch and real-time, in-Memory, ad-hoc, etc.) which requires the ability to combine and run various tools on your data lake, made available to a wide-range of machines, systems and people, whose skills range from a customer care agent up to the data scientist of your BI Competency Center. Each must have the information (access and use) and tools they need to do their job at their best capacity.

-          Process Creation and Continuous Transformation: Obviously, any step towards digitalisation will bring opportunities (supported by your analytics) as well as its constraints. You need a tool to define and play with the various processes you need to deal with. Whatever process you define, you should also think of having a way to go back and treat exceptional demands either manually or via a corresponding process. (Unless you decide upfront to sacrifice those unexpected requests as whatever software you decide to use, it will have its constraints.)

One last recommendation in this transformation process: think security and privacy upfront; you never know what the future will bring, so it is better to be prepared than to fear the regulatory authorities later. You cannot be 100% safe but you can at least prove you did your due diligence.

Neural’s Optimus Platform is designed to be used as a foundation for data integration and enrichment, regardless of industry, and could help you with your digital transformation journey. Our strong background and experience in telecommunications, working with all size of companies, enables us to cover a large bandwidth of business, even the most demanding ones.

If you have been interested in any of my blogs and would like to speak more about how Neural could help your company, please do not hesitate to contact me on axel.pieuchot@neuralt.com, find me on LinkedIn, or contact info@neuralt.com to find out more about our products. 

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