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Net Promoter Score (NPS)

The NPS Calculation
Calculate your NPS using the answer to a key question, using a 0-10 scale: How likely is it that you would recommend [brand] to a friend or colleague?

Respondents are grouped as follows:

Promoters (score 9-10) are loyal enthusiasts who will keep buying and refer others, fueling growth.
Passives (score 7-8) are satisfied but unenthusiastic customers who are vulnerable to competitive offerings.
Detractors (score 0-6) are unhappy customers who can damage your brand and impede growth through negative word-of-mouth.

Subtracting the percentage of Detractors from the percentage of Promoters yields the Net Promoter Score, which can range from a low of -100 (if every customer is a Detractor) to a high of 100 (if every customer is a Promoter).

Reference: https://www.netpromoter.com/know/

The IBM mainframe server

IBM Z14 Spec
https://www.ibm.com/us-en/marketplace/z14/specifications#product-header-top

https://www.ibm.com/support/knowledgecenter/

https://dancingdinosaur.wordpress.com/2016/02/04/exploiting-the-ibm-z13-for-maximum-priceperformance-advantage/

Mainframe concepts: https://www.ibm.com/support/knowledgecenter/zosbasics/com.ibm.zos.zmainframe/toc.htm

Mainframe customer List:
http://mainframes.wikidot.com/
Customer Count: https://www.salesinsideinc.com/services-details/ibm-mainframe-customers-list

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IBM Cloud Functions

Reference:
https://console.bluemix.net/docs/openwhisk/index.html#getting-started-with-openwhisk

IBM® Cloud Functions is a distributed, event-driven compute service also referred to as Serverless computing or as Function as a Service (FaaS). Cloud Functions runs application logic in response to events or direct invocations from web or mobile apps over HTTP. Events can be provided from IBM® Cloud services like Cloudant and from external sources. Developers can focus on writing application logic, and creating Actions that are executed on demand. The key benefit of this new paradigm is that you do not explicitly provision servers. Thus, eliminating worry about auto-scaling, high availability, updates, maintenance, and cost for hours of processor time when your server is running but not serving requests. Your code executes when there is an HTTP call, database state change, or other type of event that triggers the execution of your code. You get billed by millisecond of execution time (rounded up to the nearest 100 ms), not per hour of VM utilization regardless whether that VM was doing useful work or not.

This programming model is a perfect match for microservices, mobile, IoT, and many other apps. You get inherent auto-scaling and load balancing out of the box, without having to manually configure clusters, load balancers, http plugins, etc. If you happen to run on IBM® Cloud Functions, you also get a benefit of zero administration – meaning that all of the hardware, networking, and software are maintained by IBM. All that you need to do is to provide the code you want to execute and give it to IBM® Cloud Functions. The rest is “magic”. A good introduction into the serverless programming model is available on Martin Fowler’s blog.

Cloud Platforms

https://openwhisk.apache.org/
Apache OpenWhisk (Incubating) is a serverless, open source cloud platform that executes functions in response to events at any scale.

Blue Mix Catalog
https://console.bluemix.net/catalog/

IBM Tone Analyzer
https://www.ibm.com/watson/services/tone-analyzer/

https://tone-analyzer-demo.ng.bluemix.net/

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Local Stack

https://github.com/localstack/localstack
https://localstack.cloud/

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https://aws.amazon.com/mp/ai/
Machine Learning & Artificial Intelligence
Marketplace