[MUSIC PLAYING]
ALEXANDER ZEIER: I am Professor Dr. Alexander
Zeier, CTO of the SAP Business Group at Accenture.
The reality is digital decoupling de-risks upgrading
and reduces implementation time by half.
Commonly, a classic S/4HANA upgrade takes two to five years
to complete.
And the client's legacy system is
frozen during implementation.
Even if the upgrade has been completed, what that means
is you can now see the return of investment
much faster by continuing to innovate.
One of the largest consumer good companies, for example,
had over 160,000 custom objects.
64,000 are currently used, and 16,000
would require a redesign if you perform a S/4HANA upgrade.
Following a traditional upgrade process,
this would result in two and a half year of a system freeze.
This digital decoupling, 8,000 potential decoupling cases
were identified, reducing the number of code objects required
for an upgrade by 50% and shortening the implementation
time.
The reality is the number one reason to move to the cloud
is innovation by cutting cost.
A typical SAP HANA hardware procurement process
would take six months, nine months overall,
until the on-premise HANA server can be used.
If it were in the cloud, it would take only a week
for a system to be up and running--
probably even only a few days.
Additionally, companies only pay for what they consume,
instead of having to pay for a fixed cost.
Digital decoupling is not only cheaper,
it is also faster and more flexible
upgrades that can allow companies to experiment,
innovate, and scale.
A large Mexican bank has seven SAP HANA systems.
Out of this seven, six systems are too big
and one system is too small.
Given the flexibility of the cloud environment,
the client only has to pay what they use.
Moving to the cloud provides the client with a more economical
alternative.
This is a better option.
The reality is not all cloud platforms' offerings are
the same.
It is important to choose one with additional services
outside the core platform.
Implementing additional services outside of a generic cloud
platform results in collecting more data
and the ability to connect disparate data sources, which
is the first step for effective analytics
and layering the foundation for AI and machine learning.
This will provide IT professionals
the ability to design, monitor, and improve
their data-driven ecosystems and key executives
the insights to improve the enterprise
with sufficient processes, top-selling products,
and user friendly customer experience.
A retail consumer good company has
deployed a same-day delivery service,
which is a differentiating capability in customer
experience and a clear competitive advantage when
it comes to competing against big e-commerce platforms.
This same-day delivery service solution
integrates Google Cloud, [INAUDIBLE] cloud optimization,
and Google Maps with SAP supply chain management.
The Google dispatcher creates routes for vehicles, fleets.
And our optimization algorithms find efficient routes
for visiting a specific set of rotations at minimum cost.
This real-time process solves vehicle
routing problems with hundreds of vehicles
and thousands of locations, and is available anytime.