What are SAP MDG interview questions
Building modern business intelligence: benefits, stumbling blocks and potentials of BI
Decision-makers need information and data that they can trust. A modern business intelligence system provides the essential basis for this. In part one of the interview with Dr. Jörn Döring was concerned with the extensive opportunities that arise for companies in this regard. In the following part two and at the end of the interview, the TCI partner explains why the SAP migration is definitely worthwhile - and what companies should consider if they want to leverage the full potential.
"It is the people who ultimately shape the business processes" - Interview with Dr. Jörn Döring
Dr. Döring, the possibilities with migration to a SAP environment create enormous potential in the design of business processes. What would you say is the greatest benefit?
The nice thing about such a BI landscape is that you can control your company from anywhere in the world with Internet access.
In this BI environment, you can also connect data from Google AdWords or machine data that your production machines permanently supply. These so-called Internet of Things-Data to give you by using tethered Predictive Analytics Libraries Insights that you could not do until recently. I want that as a keyword Predictive maintenance name where you can use targeted predictions to determine when your machines really need to be serviced and thus maintained in a time and effort-optimized manner. This leads to an increase in sales with a reduction in maintenance costs - in other words: profits increase. The scenario can also apply to the Predictive production be expanded: only produce what is most likely needed. This increases your turnover in a targeted manner and saves you unnecessary storage capacity.
Above all, you speak of the predictable processes that every company has to deal with. Do you also have an example of incidents that companies don't necessarily anticipate?
Of course, a great example of this is preventing potential fraud incidents. These can be massively reduced on the basis of historical data, data and behavior patterns and current transaction incidents. To do this, Machine learning- Algorithms "trained" data and integrated into the transaction processing. In this way, you reduce the risk of lost sales as well as the costs of legal proceedings.
Exploit BI potential: The decisive factor is how people handle the data
In your experience, what are the biggest stumbling blocks on the way to modern business intelligence?
Good question. First of all, your data must be correct. If you cannot trust your data, there is no need to start any evaluations. What do you want to base your business decision on? There is the joking phrase that describes it very aptly: "Garbage in - garbage out". And nothing has changed about that. If your master data is only 60 percent correct, you don't need to worry whether your AI algorithm is now 92 percent or 95 percent accurate. Your statement will never be better than the 60 percent. Therefore, a data governance concept is clearly necessary in the company. Who has data and interpretation sovereignty? On the one hand, the processes of master data maintenance must be uniformly defined and introduced (master data governance). On the other hand, a determination and the rollout is the Key Performance Indicators (KPI) necessary - company-wide (meta data governance). At the end of the day, no apples should be compared to oranges. It's easy to say, but it still happens too often today.
What influence do such profound changes have on business processes and the working atmosphere?
In short: a huge impact! Since a BI project sooner or later always reveals gaps in the business processes, such a BI project also becomes political very quickly. Now the decision whether the project will be successful or not depends on a fundamental question: How does a company deal with these inconsistencies and is it willing to fill these gaps? It's a question of corporate culture! Instead of looking for the guilty party, support should be given to those affected to fill these gaps. Proceed in the same way when dealing with the key figures and KPIs. A red light does not mean that someone has done their job badly, but that someone needs help. And he should get this. Then the company will be successful. In my experience, 50 percent of all BI projects fail not for technological, but for political reasons.
In order for the key figures to provide new insights, the departments must be able to work with the key figures and create their own reports on an ad hoc basis. This so-called Self service together with the right data (transparency!) your BI solution will become a success in your company. Only with transparency and Self service - both are mutually dependent - your BI solution will be accepted in the company!
Using Modern Business Intelligence Correctly: The Success Criteria for Resounding Business Success
How does the procedure have to look for this to work?
Well, in order for the department to be able to build its own ad hoc reports, a must Know-how transfer from IT to the departments. I like to do something like this during the prototype phase together with both camps - IT and departments. In this way I make sure that the two camps do not ignore each other and that the departments can determine for themselves how far they want and / or need to familiarize themselves with the technology. This is the only way to set up a comprehensible service catalog with IT and prepare the department. In this way, the roles for governance can also be defined and rolled out (data owner, key user, etc.).
When a cultural change is necessary in the company for the acceptance of key figures and business processes, good change management must take place. People are always affected! It is you who ultimately shape the business processes. You need to realize that your work is important and accepted. I always wish that the colleagues who deal with the laborious gathering of data today would rather deal with the content of the data. In this way, you can derive the information that will serve as a basis for decision-making.
And last but not least: If you want to successfully implement a BI project, it only works in the so-called Top-down-Approach! It is best to have direct support from the board. If you don't have this support, there's no need to start. You need support so that a project is not abandoned for political reasons. You need the support to successfully implement data governance. And you need the support so that the cultural change can succeed.
Thank you, Dr. Döring, for the interesting ones Explanations and helpful hints for the successful introduction of a business intelligence solution, what added value it can deliver and what the success depends on! We wish you all the best for your future projects and look forward to further contributions on the topic!
The interview with Dr. Jörn Döring led the TCI editorial team.
Also read Part One of the interview with Dr. Jörn Döring: Business Intelligence in times of realtime and cloud - use the SAP migration to S / 4!
(Cover picture: © SFIO CRACHO | stock.adobe.com)
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