I formally invited SAP to provide a 10 page, unedited column to include at end of the book I am writing - how things will be different with its new management team.
The book model shows customer spend at a run rate of over $ 200 billion a year – $ 1 trillion (yes!) since the recession while SAP’s own sales/deliverables have leveled off. That includes cost of SAP licenses and maintenance, systems integrators, hosting/infrastructure, consultant travel, application management providers, BPO firms, MPLS circuits, upgrades, SAP staff at customers etc.
The book does a root cause analysis based on 20+ years of archive data and based on interviews with SAP customers, partners and market watchers.
I thought it would give a somewhat positive ending to book to let SAP provide an optimistic (and unedited) future after all the failures and inefficiencies cataloged in the previous chapters. My model shows SAP itself accounts for only about 10% of the total cost of the economy around it. So, this would have been their chance to discuss how the ecosystem, cloud delivery model etc would be different going forward.
They thought about for a month and have declined. Not exactly surprised – I see how SAP has reacted to a recent ASUG survey on (slow) HANA adoption. This is their customers talking and yet SAP defensively brushes it off.
I have similarly interviewed plenty of customers about their SAP investment strategies and I could move one of those sections to the end, but I would like to invite alternate ending suggestions from my readers to fill at least a few of the 10 pages I had blocked off.
Please comment below or send me an email at vmirchan AT gmail DOT com.
I will contribute $ 250 to the charity of choice of the entrant with the best suggestion by August 27. Or buy them a nice dinner. Their choice.
Thanks for participating.
Grand Challenges
I love interviewing senior corporate executives for my books. The conversations are always about large problems they are trying to solve.
So, for this book, an executive talked to me about how they define Big Data. 15 gb of data for every flight. Half a terabyte of data from a turbine. Similar from other equipment. Now multiply that by thousands and thousands of units. Major consideration – how do we minimize cost of managing a terabyte of data and how to dramatically reduce data ingestion time? How do we deliver orders of magnitude improvements in each?
A oil executive told me how 3D visualization, sensory analytics and massive computing power, now enable a geologist to perform sub-surface analysis of a formation remotely and empower the corrosion planner to virtually create plans in hours versus walking around facilities or in the field for days. Much safer to humans and much, much better decisions.
A manufacturing executive told me they move 25% of their plant capacity across borders in a year so they can produce closer to emerging market demand as middle classes blossom around the world. Think of the logistical implications of such constant moves.
None of these challenges have off the shelf tech solutions. They require integration of multiple tools and lots of customizations.
That frustrates many analysts because they do not neatly fall into market categories. Consultants lose interest when they don’t recognize the vendors that provide the solutions. My books have no such constraints. The grander the challenge, the more ink they get.
August 29, 2014 in Industry Commentary | Permalink | Comments (0) | TrackBack (0)