What Technology Goes Into an API?
APIs are driven by a set of specific technologies, making them easily understood by a wide variety of developers.
A focus on simplicity means that APIs can work with any common programming language and be understood by any programmer, even one with little or no training in API technology. https://goo.gl/xJ78au #DataIntegration #ML
ICYDK: A recently released Analysys Mason study in collaboration with Huawei entitled, ‘Digitalization reshaping operations: a new digital operational model for the future’ has illustrated how digitalization is fundamentally reshaping the way businesses are being operated, and how in order to remain competitive a new operational model for the future operational environment is necessary. As such communications service providers (CSPs) are embarking on their own digital transformation journey to increase service agility and operational efficiency through infrastructure evolution and operations transformation. http://bit.ly/2DSYWYk #Huawei #BigData #AI
Smart Vending Machine : the “right now ” difference for wholesale distribution
Every CEO of Wholesale I have met are obsessed about one thing : that a market place like Amazon could eat into his volume turn over and squeeze him to death, and what is keeping him awake at night is how to resist positively.
Here we can summarize the different strategies we often hear :
* Be flawless at execution and offer new free services to pre-empt customers who may consider shifting to a marketplace
* For E-commerce Push on volume product content rather than Product volume with little content
* Keep the sales reps very knowledgeable so that they can give some high value added advice that a large Marketplace like Amazon is unable to provide
* Use technology to find new ways to delight the customer and this is exactly where Smart Vending Machines present a real opportunity
At SAP offices we installed lately a Smart Vending machine where one can get IT stuff like Headsets, power supply, Lightning cable,… you choose the product, pass the badge and pick the item up.
The product is automatically charged to their cost center. People are just delighted because they get the stuff “ right now “. Whereas before it was an order to raise on the portal and receive the item 2 days later.
This is even better than the famous 2 hour premium delivery. This is “right now “.
In this example The Smart vending machine is directly connected to ARIBA, so the process is the same when the employee orders on the portal to the wholesale distributor, just the front end interface is changed into a smart vending machine delivering the most wanted products immediately.
But we could have also examples of Smart vending machines on a building site delivering some key goods for their job of plumbers, electricians, carpenters, and all craftsmen of any kind so that they could get “right now “ instead of going to pick it at home or to returning to the agency to buy it.
These people consider time as golden and would be delighted to find the items they need on site, immediately.
More than the SVM , you can also think about a smart container that would be more relevant for larger products, recognizing the credit card, monitoring the pick up by Video and self-scanning, triggering an “Uber payment “
All these kind of Smart vending Scenarios will need in addition :
* A strong predictive algorithm to suggest the best product to set in the building site among the thousands in the catalog
* A price elasticity algorithm to estimate the value of the immediate delivery. What money a plumber would pay to avoid loosing time.
* Check the technical status of each machine to keep maintenance at the expected level by craftsmen.
* Check of the Sales figures, to supervise that the suggested articles meet the expected success.
This will bring to wholesalers
* A positive resistance to Marketplace delivering a service they do not propose.
* Increased margin as price is less of a problem when time is saved
* A new customer base as they will enter their name and details without questioning it as long as they get the stuff they need “right now”.
So what are you waiting for Mr. Wholesale Distribution ?
FM
http://bit.ly/2DUHJO7 #SAP #SAPCloud #AI
Earlier this year, SAP set out on a mission to better understand the biggest challenges organizations face by the ever-increasing complexity of data environments with the goal of passing along our findings to you.
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Check out our Data 2020: State of Big Data study for results from more than 500 IT decision makers from enterprise-level companies representing several countries.
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Today, we challenge you to test your knowledge with the launch of The Big Data Bluffing Game, a 10-part quiz designed to gauge just how well you know your stuff while simultaneously shedding light on some of the most common misconceptions in data management. Some topics you can anticipate tackling include:
* How much do regular data check-ups impact the health of your data?
* Which departments rank highest as data management stakeholders?
* And, where does the most challenging data to manage reside?
The quiz is a fun way to see how you stack up on your Big Data knowledge but the challenges are real. These are all-important questions to ask as companies’ struggle to manage and extract real value from complex data landscapes. In the last two years alone, more data has been created than in the previous 5,000, and this explosion of data has led to the proliferation of systems. The difficulty of overcoming these data silos and combining Big Data with data generated by enterprise systems and partners prevents businesses from being agile and capitalizing on the full value of data.
So study up, take the quiz, and don’t forget to challenge your colleagues for office bragging rights!
If you don’t fare so well, be sure to review the Data 2020: State of Big Data Infographic, based on the results of a SAP commissioned a report surveying IT decision makers from enterprises- across the globe. And if you feel that your organization could benefit from a more consolidated, simple and highly scalable approach for data sharing, pipelining and governance, check out SAP Data Hub. http://bit.ly/2mVcQRJ #SAP #SAPCloud #AI
