Do checkout this commonly asked SAP SAC Interview Series and prepare for your interviews easily. This is Part 1 of 10 Part Series.
SAP SAC Interview Series
1. Ways in Which SAC Supports Data Visualization?
Ans: SAC supports data visualization in multiple ways including insightful reports & interactive dashboards. Variety of charts & graphs such as Bar, Column, Scatter, Bubble, Pie, Donut, Line & Area charts can be created for a wonderful data visualization.
- Pivot tables and Responsive tables are there for creating summarized datasets & perform easy sorting & filtering. Various maps are available for spatial analysis.
- Drill down analysis is available for detailed analysis and multiple input controls are there for interactive analysis by users.
- Customs visualization is also an option using R and Javascript programming.
- Story telling is one of the most amazing visualization tool introduced for narrative data into the form of stories.
- Smart Discovery, Smart Insight & Predictive Forecasting option is also there.
These are some of the most amazing features introduced for supporting proper data visualization in SAP SAC.
2. What Do You Understand by Smart Predict in SAP SAC ?
Ans: When any business user wants a predictive model for forecasting future outcomes, then this feature of smart predict can be used.
AutoML i.e Automatic Machine Learning techniques are used for creating & deploying predictive analysis. Multiple important tasks such as classification tasks can be performed using this feature, without having any knowledge of Machine Learning.
It supports 3 major predictive scenarios which are classification, time series forecasting & regression. It easily helps in the integrations with SAC Workflows.
With this smart predict feature, the users can easily able to understand the key factors which are affecting the results of the query.
Predictive Analysis on top of larger dataset can be done easily using this feature. It not only help in rapid development but also enhance easy decision making & ease of use for the users.
3. Can You Explain When Do You Use Planning Model & When Do You Use Analytical Model in SAP SAC?
Ans: In SAP SAC, basically the choice between the planning model and the analytics model is being given. We have to choose between them, by taking care of the specific requirements & the goals we have for the analysis. Various use cases for the planning models are:
For creating financial plans, for various budgets, & forecasts, planning model can be used.
Whenever the scenerio for ‘What-If-Analysis comes up, then planning model can be used.
When the data entry needs to be done directly in the model, then this model can be used.
When values needs to be allocated to different dimensions, based on some rules or drivers, then planning model can be used. Planning model has various amazing features such as input schedules, version management and amazing collaboration tools for facilitate collaborative planning.
4. Is It Possible for SAC to Handle Big Data?
Ans: Analytical model is mainly used when we have to do the data analysis & reporting without any kind of manipulations. Historical data analysis can be done easily using this analytical model. Easy data explorations such as analyzing the data patterns can be done via analytical models. KPIs can be monitor over time using analytical models. Amazing dashboards & visualizations can be created for reporting purpose using analytical model. It supports the calculation of measures & key figures & data import facilities for faster data retrieval.
Both of them are very useful, if used properly by understanding the requirements & needs of the business.
5. Are There System Owners While Using SAP SAC? How Many Maximum System Owners Can Be There in SAP SAC, at a Time?
Ans: Yes, SAP Analytics Cloud is able to handle the big data & its terminologies. It can be done via the integration of analytics cloud with various amazing data sources & advanced dataset capabilities.
How SAC handle big data connections: By creating optimized data models which also includes the use of aggregated & optimized hierarchies & views, which can easily manage the high data volumes easily. By providing the facility of data blending & data acquisition.
Data can be blend from multiple datasources which includes complex or large sets. Apart from that, data can be acquired from various sources either on premise or cloud database. It can also acquire from flat files and OData services.
Real time data access can be there. SAC supports real time data connections for larger data sources. Users can directly perform their query on top of large datasets without even need to import or store it.
In memory processing capabilities can help with rapid data aggregations & calculations which enables fast analysis of big datasets. Because of the robust integration capabilities, easy data integration is possible between big data and sap analytics cloud.
Hope you like SAP SAC Interviews Series PART – 1
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