BoligaTen specializes in helping our clients adopt and align existing frameworks and best practices to their specific business vision.  We help companies understand the needed capabilities from a business and strategic point of view, and then extend and decompose the frameworks to that end. BolgiaTen are not a traditional consultancy we provide ‘Near Edge Consultancy’ services, we look at helping our clients develop Specific Global Best Practice (GBP) from Global Standards in the following Areas:

  • Problem Derived Innovation Analytics (PDIASM)
  • Strategic Best Practice (SBP) Process and Procedures across the Business
  • Develop specific Policy and Governance Standards
  • Development of Requirements (RFP, RFI and POC’s etc.)
  • Contract and Project Management against GBP and SBP
  • Procurement Procedural Advice and Implementation
  • Training
  • Strategic Workshops
  • Innovation Workshops
  • Use Case Template Building

Problem Derived Innovation Analytics (PDIASM)

Across the world from all Industries and Sectors we are hearing the same story, jungle drums are beating and multiple organisations are questioning the Business Value traditional Big Data Analytics (BDA) solutions are delivering. BDA entered the game with a bang through the ‘must have’ IT driven Hype Cycle (see Gartner Technology Hype Curve). The Gartner Hype Curve is described as follows:

“Five regions of Gartner’s Hype cycle: Innovation Trigger (potential technology breakthrough kicks off), Peak of Inflated Expectations (Success stories through early publicity), Trough of Disillusionment (waning interest), Slope of Enlightenment (2nd & 3rd generation products appear) and Plateau of Productivity (Mainstream adoption starts)”.

BDA is nowhere to be seen, on the Gartner Hype Curves from 2015 and it was already entering the trough of disillusionment in the same Hype Curve of 2014.

So, is it time to re-examine how we derive value from Big Data Analytics outside the tradition implementation methodologies?

Professor Morrissey has been involved in the creation and growth of multiple start-ups in the digital technology space for the last fifteen years and is also the Global Ambassador for TM Forum: AI, Big Data Analytics, Customer Experience and Innovation. Paul has drawn on the many lessons learned in this domain and capitalised on the R-o-L (Return on Learning) accumulated throughout the journey to expose a new approach to business value creation through a ‘Use Case’ driven methodology. He has been instrumental in the development of the Global Best practices in the area of the TM Forum’s ABDR (Analytics Big Data Repository) and the examination of Value based Use Cases through Problem Derived Innovation Analytics (PDIASM)). This approach postulates that the Use Case is where the business value lies not the Data! Some may call this ‘heresy’ but we don’t think ‘Dante’ would agree! and given the fact that the world has been swimming in the Big Data lake (or more appropriately the Data Swamp) for ten years it is time to rethink the strategy?

PDIASM turns the tradition approach ‘inside out’ and looks to use the available data to support Use Cases which are aligned with several strategic Business principals, including but not limited to, Alignment with Strategic Business Direction, Data Analytics Maturity, Business Acceptability, Revenues v Costs and Executability

Professor Morrissey utilizes modelling attributes from Osterwalder, Lean Canvas and ‘four steps to epiphany’ to inform this PDIASM model. Always starting with the problem indeed the PDIASM slogan is ‘It all about the problem stupid!”

The results of this Revolutionary approach are truly outstanding with empirical demonstrable ‘Value Creation’ in terms of Revenue, Acquisition, Business Process Optimization etc. being discovered and exposed within the organization through ambidextrous Intrepreneurs (or even Olderpreneurs!).