It’s Time for Corporate Spending to Manage Itself

The past few months have shown that natural disasters such as fires and hurricanes can wreak havoc on our lives, devastating regions and destroying homes. For our businesses, they can also disrupt supply chains and impact operations. But what if you could predict the occurrence of a disaster, anticipate its impact, and act preemptively to avoid any disruption to a production line or your business operations?

What the world considers magic, SAP Ariba considers intelligent procurement- and its right around the corner.

For many global organizations, managing hundreds of millions of dollars of spend each year remains a daunting task due to strenuous manual effort. Every day, procurement professionals need to navigate a complex environment with imperfect information. Their goal is to answer questions such as:

* How do I maximize my spend under management?
* How do I get insight into my categories of spend, and plan my sourcing strategies?
* How do I optimize my contracts so that they meet my key goals?
* How do I minimize supply chain risks while supporting sustainability goals?
* How can I be sure that orders and invoices comply with preferred suppliers and negotiated prices?
* How do I process incoming invoices accurately and efficiently?

SAP Ariba recognizes the tremendous value of clear solutions to these questions, and is investing in artificial intelligence (AI) technologies to create better connections between people, processes, systems, data, and context. We are making the systems you rely on more intelligent, so they can instantly and reliably identify the right information and provide the right insights, to help you deliver better business outcomes.

AI technologies can be used to combine relevant data on spend, demand, suppliers, contracts, company policies, etc., as well as contextual information such as commodity prices, news, financial data sentiment, etc. Using these technologies, you can discover hidden patterns and relationships in your data, gain valuable new insights and make better decisions about sourcing strategies, supplier risk assessments, contract negotiations, purchasing decisions, and related procurement activities.

Consider the potential to improve supplier risk assessments. Imagine if an intelligent system could do the work of a team of analysts, compiling information across reputation, financial, operational and compliance risks in a fraction of the time. Going further, it can continuously monitor new data and re-evaluate risk scores across all key commodity categories. This intelligent system, running 24 hours a day, 7 days a week , can even predict risk events and mitigation measures before the event happens.

AI’s potential to impact the purchasing process can be equally transformational. Imagine being able to use simple voice commands to buy a product through your requisitioning system while being compliant with the existing policy. Or simply taking a picture of a broken part and having your procurement system automatically identify the part and order it for you. Going further, what if your procurement system already anticipates when you need to order something, sends you an alert, and helps place the order – making things easy for you so you don’t have to do the work.

With a new generation of self-learning systems, the procurement process can constantly deliver increased value for the organization – improving effectiveness and accuracy, automating tasks, and detecting increased savings. User experiences can be improved through conversational interactions, voice commands, and enabling interactions through messaging platforms.

Listen to SAP Ariba’s webinar on Intelligent Procurement to learn more. http://bit.ly/2o3QVeV #SAP #SAPCloud #AI

HOWTO find S/4HANA Compatibility Views

Hi all,

recently I was asked: How to find out, if the “old R/3 Tables” are still used in S/4HANA!?

Within all the Simple Finance rework the universal journal should eliminate a lot of tables, so why they are still there an even have entries!?

Example: left side = HDB (zero entries), right side = Appl. Server (tousands of entries)

First of all, if you just look at the Table entries in S/4HANA this could be misleading.

Why is that? The answer are compatibility views! And  how can we find out what is happening behind the scene!?

Use t-code: SE16N (not SE16!)

doubleclick on Proxy Object: You can then find the DDL Source.

Now use the ABAP report to find out more details!

SE38: DEMO_SHOW_DDL_SOURCE -> FGL_FAGLFLEXA

again with DDL Source FGL_GLSI…

and again with DDL Source FGL_GLSI_ACD…

Finally you reach the “real table” called ACDOCA where the data is finally stored.

Hope that helps! http://bit.ly/2o66iDE #SAP #SAPCloud #AI

Developers at SAP TechEd Discover COZMO, the Coolest, Smartest Business Robot Ever

Gartner’s recent prediction that IoT technology will be in 95 percent of electronics by 2020 is getting well-deserved attention, but the most transformational story for business is quietly taking place behind the scenes.

Companies are plowing ahead to invest in the Internet of Things (IoT) and artificial intelligence (AI) plus robotics, and after meeting COZMO the robot at the recent SAP TechEd event, it’s easy to see why.

Miniature Powerhouse of Intelligence

A surefire crowd-magnet on the show floor, this small but powerfully intelligent robot operating on SAP Cloud Platform used sensors to follow voice-activated commands, finding and picking up designated items, and bringing them to specific locations on the table.

According to Mariah Perry from SAP Cloud Platform Marketing, sophisticated automation at the edge is what distinguishes this latest breed of IoT and AI-powered devices. She showed me what the robot could do in this video.

“Devices are very becoming much more autonomous,” said Perry. “You can tell this robot to do something, and it uses its own intelligence to navigate around objects, pick up what it’s supposed to, and carry out the order.”

While Perry issued commands to the robot through Alexa of Amazon Echo fame, she said any voice-activated system could be used. The robot emitted beeping noises as it acknowledged orders and carried them out.

Cute, sensor-tagged robots have the potential to explode exponential value in the back office

“COZMO, Transform Our Business”

As cute as the robot was, its exponential value has the potential to really exploded in the back office. Companies can use similar intelligent, sensor-tagged devices to perform tasks, connecting the information to the rest of the organization, from warehouse through supply chain management, customer service and delivery.

“In an actual automated warehouse or similar business scenario, commands would be integrated with any ERP system such as SAP S/4HANA,” said Perry. “We’re using this toy robot to show how valuable IoT and robotics can be in helping businesses automate and regulate daily processes using the SAP Cloud Platform for digital transformation.”

Follow me: @smgaler http://bit.ly/2o7SPes #SAP #SAPCloud #AI