Wednesday, June 28, 2017

Optimizing your prospect to customer process with C4C

All companies have a process for converting prospects into customers. This is always an important but complex process. This blog will explain a possible scenario for converting prospects into customers using SAP C4C and SAP ERP as the backendsystem.

Business Challenges

Let’s say your company has the following requirements:

  • The user should decide when the prospect will become a real customer
  • The system should support the mechanism of requesting mandatory fields before converting the prospect. This should replace the current manual form which should be filled within the company (all companies have such a form)
  • The master data team should receive a request for creating a customer from SAP C4C into SAP ERP.
  • The customer number should be generated by SAP ERP and not by SAP C4C!
    This can be very important, because for the standard scenario SAP C4C will define the customer number.
  • The requester should receive a message when the customer has been converted.

Wednesday, June 21, 2017

Create a "view" from your Cloud 4 Customer data source for use in your reports

With SAP Cloud for Customer (C4C) Analytics you can create very nice reports that provide real-time data. The flexibility C4C offers, gives the user the data they want to see, when and wherever they want. This is a big advantage of C4C and the possibilities seem endless. This really engages the user in working with their own data and often triggers them to request new features.

During one of my assignments a request for a report was made containing only certain data from a datasource and joining it with another datasource. The best way would be to create views from existing datasources instead of filtering in the report itself. In this blog I want to show you how to create a view from a data source. This works very well but should only be used for data that does not change very often.

Wednesday, June 14, 2017

Just Start!

It is hardly a cliché to always retrieve in a blog on the prominent examples of (world) known organizations that have been seeking bankruptcy in recent years. It has become clear that in the current market nothing is certain.
If you are successful today, that success can turn into stagnation or retardation tomorrow.
No organization wants to be caught by reality and getting into the same waters as those previously renowned market names that no longer exist today.
What’s certain is that there are an increasing number of innovative organizations at the gates of the established order to change the game forever and forever.
For example, Facebook with a bank license, Google, which starts insurances, The Ali Baba Group, which spreads the financial world with the Ant Financial Services Group (formerly Alipay) and the Powerwall of Tesla.
These innovators or perhaps more disruptors are following up quickly and ensure organizations that they have to be alert for unexpected threats at all times.
There are organizations from the 'old world' that are doing fine thanks to the flourishing economy. In spite of that fact, they are not ready for the future and are certainly not sure if they will survive the first emerging innovator in their market.

Friday, June 9, 2017

SAP Run Like Never Before 2017 #RNLB17

As proud sponsor of the SAP Run Like Never Before event, Acorel wishes all particpants of the SAP Run like never before 2017 the best.

The RNLB is a 5x5km relay charity event hosted by SAP the Netherlands where SAP, Partners and Customers run a total of 25km per team, sponsoring the Krajicek foundation.

To all participants, good luck!

Wednesday, June 7, 2017

Creating Drill Down Reports on the Cloud for Customer Survey Data source

Measuring customer satisfaction, registering customer feedback during visits or ...... it can all be done in SAP Cloud for Customer using Survey's.
Surveys are fully flexible and allow you to setup a dynamic sequence of questions and answers, allowing you to gain insight in what is driving your business.
In many cases you might want to report on question dependencies. For instance, 'what do customers that answered A to question 1, answer to question 2. This will provide a real drill down report with the Survey.

Lets look at this requirement with a Net Promotor Score (NPS) example.
Question 1 NPS Question:  How likely are you to recommend us to a friend or colleague?
Question 2 Root Cause Question:  What is the main reason for this rating?

We would like to do a Pareto analysis on the root cause per NPS Score. In other words, what is the main reason why people would recommend us and what is the main reason why they wouldn't?. This can be done in a nice column diagram that is sorted in counter. But the data needs to be available in a specific manner to be able to relate two questions to each other.