Introduction:
Smart Insights and Smart Discovery are two machine learning features in SAP Analytics Cloud. With the power of machine learning, they help users take advantage of advanced contribution, classification and regression techniques. These features help anyone discover hidden patterns and complex relationships in their information, even without any data science background or experience. These are powerful machine learning capabilities that help businesses make quick decisions with SAP Analytics Cloud.
Smart information
What are Smart Insights?
Smart Insights takes a data point, variance in the data and examines what lies behind that data. It helps to quickly find what is behind a given object. It can add context to your point of view, helping you understand what's going on.
Smart Insights discovers the key drivers behind a chosen price or pivot point. Top contributors are the dimension members that make the largest contribution to the analyzed data point.
Why smart insight?
The benefit of Smart Insights is that it helps business users save time when looking for quick answers at a specific price. Therefore, without using Smart Insights, a business user would have to manually cycle through the data to identify the members of each dimension that contribute the most to the data point.
How do Smart Insights work?
Once a specific data point is selected, machine learning calculations are performed on information that is of the same nature as the selected data point. If the selected data point e.g. is Total Revenue, are the largest contributors based on Total Revenue. Parses the property in your selected data and looks for members in the properties that affect the selected value.
(Video) SAP Analytics Cloud-funktion: Smart Insights
To run Smart Insights, select a data point on a graph to display the quick action menu and select the light bulb symbol.
Select a data point from a graph -> Quick Action Menu ->
Example:
In this scenario, Smart Insights is used to explain the largest contributor to total sales revenue for a given organization.
- In the generated history, go to the button "More actions" -> "Add smart info"
- Now, when we run Smart Insights, we quickly see that the central region is the biggest contributor to our sales.
- Even using the bulb symbol
in the top right corner of the page you can search for Insight. For example, you can search for the top 2 regions that contributed the most to total sales.
in the top right corner of the page you can search for Insight. For example, you can search for the top 2 regions that contributed the most to total sales.
- It will show the top 2 contributors to total sales as shown below:
Smart Discovery
(Mais) SAP Analytics Cloud Planning - Smart Discovery - Smart Insights - Search to Insight
What is Smart Discovery?
Smart Discovery is a very powerful feature in SAP Analytics Cloud that uses machine learning to analyze and explore your data and uncover valuable insights. SAP Analytics Cloud's intelligent data discovery feature helps save time by running automated machine learning algorithms on the backend to discover correlations between items in your dataset and target metrics, for example KPIs such as revenue, days filled, sales, etc. With a few clicks, you can't not only get all the best influencers for your target, but you can also see the impact of other variables, see data anomalies and run what-if scenarios, analyze patterns in data and use historical data to predict future results.
Why Smart Discovery?
Smart Discovery in SAP Analytics Cloud helps business users interact with information, in the form of intuitive graphics and natural language processing (NLP), to make better, faster decisions and share valuable new insights with your organization.
How does smart discovery work?
The user selects a measure or dimension.
If a measure is selected, a regression model is created, and if a dimension is selected, a ranking model is created. If a property is selected, Smart Discovery will focus on members of the taxonomy group (target) selected by the user.
When the user selects Run, Smart Discovery begins creating and testing various test models using automated machine learning technologies. Smart Discovery will choose the best model based on accuracy, robustness and simplicity. This template will be used to create the 4 story pages – Overview Page, Key Influencer Page, Unexpected Values Page and Simulation Page.
- Summary Page – This page provides views to summarize the results of the target attribute or metric.
- Top Influencer Page – Key influencers are measures and dimensions that influence results or outcomes. They are identified from the information in your selected model using classification and regression techniques. Classification techniques are used to identify dimensions that separate outcomes into different groups of outcomes. Regression techniques identify relationships between data points to predict future outcomes.
The Key Influencer page shows variables that are related to each other and have the greatest influence on the target. This page lists (sorted from highest to lowest) down to almost the dimensions and measures that significantly affect the discovery goal.
(Video) SAP Analytics Cloud: Updates to Smart Insights
- Outliers Page - The Unexpected Values page displays the outlier information. This page is only displayed if there are unexpected values. The table shows records where the actual value differs greatly from what the predictive model would expect (expected values). The scatterplot shows these outliers to compare expected values with actual values. The bar chart compares expected values and actual values for the selected record.
- Mock Page - When the Smart Discovery goal is a measurement, a mock page is created. It allows us to test hypothetical scenarios. The site uses top influencers in an interactive hypothetical simulation. On the right of the page is a list of top influencers and their corresponding values. The user can change a value and simulate its effect. Select the value and use the slider that appears or the radio buttons on the page to enter a new value. Each time a value changes, a number flashes to show the percentage change from the previous set of values. The graph shows the contributions of each of the top influencers based on the selected values.
After you finish analyzing the Smart Discovery results, you can:
- Save the smart discovery as part of the new or existing story.
- Share this story with other users in your organization.
Example: Analysis CtraktorData to cover the budget
In this example, we use a scenario where an organization hires contract workers on an ongoing basis. We would analyze the factors that have a positive and negative impact on accomplishing the contractor's mission within their given budget. Using Smart Discovery, the organization can discover influencing factors and then take appropriate action to ensure that contractors complete their work within budget.
- Create a "New Story" and enter your data
- Create a "New Smart Discovery"
In this example, the "Percentage_of_Budget_Spent" column in the data shows how much of a specific contractor's budget was spent on their project. We will learn what data factors affect the %Budget_Spent field. The Smart Discovery interface allows us to easily exclude all measures and dimensions not required by the analysis.
- Select "Percentage_of_budget_spent" as the target
- Click the Run button.
When Smart Discovery runs, predictive technologies lag behind and use completely different algorithmic models to help us find the best fit for our data.
Main influencers:
Top influencer bar chart page showing top influencers for "Percent_of_Budget_Consumed".By clicking on them, we can get more information about the effect of specific influences. This shows that the regulatory authorities have a greater influence on whether contractors exceed their 'budget'. Average,ErikeYuruIts contractors are collectively over budget so the agency can take the necessary action.
(Video) Sap Analytics Cloud Smart Insights | Make smarter cloud decisions with SAP Analytics Cloud
Unexpected prices:
We can then analyze the unexpected values in our dataset to find the differences between the predicted (expected) values and the actual (actual) values of Consumed_Budget. The Unexpected Values page provides the following information:
Simulation Analysis:
The simulation function can be used to see how much we can expect in Percent_of_Budget_Consumed. Based on the selected criteria, we can see Influencer's contribution to potential_budget_percent_spending. Below we can see in the selected Supervision together with all the other fields that there is an expectation of a budget consumption of 93.89%.
Informationsdeling:
Finally, after we acquire and collect all this new information through our smart data discovery analytics, we can share this information with our peers. We can simply select any of the graphics we need and pin them to any page to share.
- Click on any chart you want to share
- Click Copy to Page
- Select the page you want to pin the graphic for sharing
conclusion
Thus, the Smart Insights and Smart Discovery features of SAP Analytics Cloud enable users, even those without data science experience, to gain insights and analyze the hidden and complex relationships and patterns in the information that help them make better decisions.
Images referenced at: https://blogs.sap.com/2017/07/07/sap-analytics-cloud-smart-discovery/
(Video) SAP analytics cloud insights inteligentes | Brug o Smart Insights - SAP Analytics Cloud
1. SMART Discovery med SAP Analytics Cloud
2. Karakteristisk for SAP Analytics Cloud: Smart Discovery
3. How to add smart insights to stories and analytics apps: SAP Analytics Cloud
4. How to run Smart Discovery on your stories: SAP Analytics Cloud
5. SAP Analytics Cloud - Intelligent Discovery
6. SAC Quick Demo Smart Insights Smart Discovery
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FAQs
What's new in SAP Analytics Cloud Release 2023? ›
In this release, we are introducing the unification of stories and analytic application into one single artifact based on the optimized stack in SAP Analytics Cloud. The optimized story experience is an evolution of the story that provides usability and performance improvements.
What can you do with smart discovery in sac? ›Smart Discovery always gives an overview of your data by automatically building charts to begin discovering more about your data. The generated content shows the target for the selected entity in relation to interesting or relevant dimensions and measures.
Which feature does smart predict support in SAP Analytics Cloud? ›Smart Predict uses SAP machine learning algorithms to explore relationships in your dataset and build a formula – a Predictive Scenario – to predict future events or trends. Currently, three types of predictive scenarios are available in Smart Predict: Classification, Regression, and Times Series Predictive Scenarios.
How does smart discovery prepare the data for the business question in SAP Analytics Cloud? ›Smart Discovery allows you as a business analyst to simply specify the business question. Based on this question the correct predictive algorithm is selected and the BI data is automatically prepared to allow the predictive algorithm to be applied.
What's new SAP Analytics Cloud q1 2023? ›In this quarter we introduce a calendar administration role, which can be enabled or granted to any administration roles within SAP Analytics Cloud. This gives the Administrator the ability to see and manage all calendar tasks and processes regardless of ownership and involvement.
Is SAP in demand in 2023? ›With the growing importance of human capital management, SAP SuccessFactors is likely to remain in high demand in 2023.
What does Smart Insights feature allow you to do? ›Smart Insight captures the data point or, in other words, the variance in the data and explores what is behind the information. It allows you to instantly find many connections between data and add them to your visualization to help you understand the elements you are analyzing.
What pages are generated by smart discovery? ›Smart Discovery will then select the best model based on accuracy, robustness and simplicity. This model will be used to generate the 4 pages of the story – Overview Page, Key Influencer Page, Unexpected Values Page and Simulation Page.
What is smart grouping in SAP analytics Cloud? ›Introduce Smart Grouping! This smart feature in SAP Analytics Cloud lets you do exactly that. Just enable Smart Grouping, sit back and relax. This feature can be applied to scatter/ bubble charts that segregate the data points into groups for easier classification.
What are the three main components pillars of SAP Analytics Cloud? ›There are three fundamental components that are the foundation of everything that you can create with SAP Analytics Cloud: data, models and stories.
Does SAP Analytics Cloud have predictive capabilities? ›
With the Smart Predict feature, you can predict outcomes and generate forecasts with the push of a button. Use three types of machine learning algorithms – classification, regression, and time-series analysis – to automate sophisticated predictive analysis and augment your BI experience with more data and insight.
What data models can you use in SAP Analytics Cloud? ›In SAP Analytics Cloud, a model is a representation of large amounts of business data from source systems. It defines measures and dimensions that are used to build visualizations, filters, and calculations in stories. Suitable for governed-data use cases.
What are the key benefits of using SAP Analytics Cloud? ›- Analytics and Business Intelligence. Intuitive self-service analytics can help you explore data across the organization and deliver insights at the point of decision. ...
- Enterprise Planning. ...
- Composable Analytics. ...
- Prebuilt Business Content.
In short, business intelligence provides general information useful across the enterprise, where data discovery provides detailed information based on specific analysis. They both have their places in your organization.
What is the process of data analytics discovery? ›The data discovery process includes connecting multiple data sources, cleansing and preparing the data, sharing the data throughout the organization, and performing analysis to gain insights into business processes.
What is the difference between Neo and Cloud Foundry SAP CPI? ›Overview. The main difference is that the Cloud Foundry Environment consists of an open-source runtime and the Neo Environment consists of SAP proprietary runtime. Additionally, the Cloud Foundry Environment supports Bring Your On Language concept while the Neo Environment does not.
What will happen to SAP after 2025? ›Enterprise and software giant SAP has set a 2027 deadline after which its systems will be built to run on just one single database. The year 2025 was originally the S/4HANA deadline. However, it was way too optimistic as a timescale for the SAP Business Suite 7 user base to move onto the new platform.
What is the new name of SAP cloud? ›SAP Cloud Platform has been rebranded as SAP Business Technology Platform (BTP).
What is the SAP cloud strategy for 2023? ›SAP anticipates cloud revenues in the range of €15.3-€15.7 billion, suggesting an increase of 22-25% at cc for 2023. However, a weakening IT-spending environment coupled with global macroeconomic turmoil and geopolitical instability in Europe create major headwinds. SAP currently carries a Zacks Rank #3 (Hold).
What is the highest paid module in SAP? ›SAP HCM consultants are some of the most demanded professionals in the global market. SAP HCM module is the highest paid SAP module and encompasses various profiles like those of a SAP payroll consultant, SAP HR Consultant and other specialized positions.
What is the SAP strategy for 2023? ›
SAP Strategic Goals for 2023
Through the course of 2023 IgniteSAP confidently expects the market for SAP service providers to expand at an increasing rate as the need for these services will become more acute with each day that passes.
The 4Cs for marketing communications: Clarity; Credibility; Consistency and Competitiveness. What is it? The 4Cs (Clarity, Credibility, Consistency, Competitiveness) is most often used in marketing communications and was created by David Jobber and John Fahy in their book 'Foundations of Marketing' (2009).
What is search Insight in SAP Analytics Cloud? ›Search to Insight is a natural language query interface used to query data. While working with indexed models based on acquired and SAP HANA, SAP S/4HANA, SAP Universe, and SAP BW live data, you can query Search to Insight to get quick answers to questions and incorporate these insights into a story.
What is smart data discovery? ›Smart data discovery is an encapsulation of predictive analytics, interactive data visualization, pattern matching and machine learning to produce automated decision support. Smart data discovery comes in many avatars, namely search-based, visual-based and graph-based.
What is the difference between smart group and static group? ›There are two types of device groups: smart groups and static groups. Smart groups are based on filtered criteria and have dynamic memberships. Static groups have fixed memberships that you manually assign. Group memberships are defined by the scope of the group.
Which collaboration functions can you use in SAP Analytics Cloud? ›- Sharing and Publishing Content.
- Commenting and Discussing. Collaborate by Adding Comments to Stories. Collaborate by Having Group Discussions. About Comment Permissions and Options.
- Exporting Data.
SAP Analytics Cloud augmented analytics can help users make more confident decisions faster with automated insights powered by machine learning. These Smart features include Search to Insight, Smart Insights, Smart Discovery, Time Series Forecasting, and Smart Grouping.
What are the 3 main types of data in SAP? ›Data types can be divided into elementary, reference, and complex types.
What are the 4 pillars of data analytics? ›The four pillars of data science are domain knowledge, math and statistics skills, computer science, communication and visualization. Each is essential for the success of any data scientist. Domain knowledge is critical to understanding the data, what it means, and how to use it.
What are the 4 pillars of cloud computing? ›These include data storage, servers, databases, networking, and software.
What is the limitation of SAP Analytics Cloud? ›
- Maximum number of columns: 60. - Maximum number of cells of data: 3 million.
What is the data limit in SAP Analytics Cloud? ›| Size | 128 GB | 256 GB |
|---|---|---|
| Cores | 16 | 32 |
| Memory | 128 GiB | 256 GiB |
| Disk Space | 1032 GB | 1032 GB |
| Bandwidth | 5000 Mbps | 10000 Mbps |
- Classification.
- Regression.
- Time Series.
A new model type is available in SAP Analytics Cloud. It lets you create measures within the model, which is a fundamental extension of the structure used by a classic account model. Known as a model with measures, the new model type provides more flexibility and adds key benefits for both analytics and planning.
Is SAP Analytics Cloud a data visualization tool? ›SAP Analytics Cloud, commonly referred to as SAC, is the cloud data visualization tool from SAP.
Is SAP Analytics Cloud Paas or SaaS? ›SAP Analytics Cloud (or SAP Cloud for Analytics) is a software as a service (SaaS) business intelligence (BI) platform designed by SAP. Analytics Cloud is made specifically with the intent of providing all analytics capabilities to all users in one product.
What is the core functionality of SAP Analytics Cloud? ›SAP Analytics tool uses machine learning technology to perform data cleaning, identify possible data errors and suggest filtering options. Modeling feature in Analytics cloud can be used to enhance your data and create hierarchies for deeper data insight. SAP also provides 30 days' free trial version for this tool.
Is SAP Analytics Cloud worth learning? ›SAP Analytics Cloud is the #2 ranked solution in top Predictive Analytics tools and #6 ranked solution in top Business Intelligence Tools. PeerSpot users give SAP Analytics Cloud an average rating of 8.0 out of 10.
Is SAP Analytics Cloud in demand? ›SAP Analytics Cloud (SAC) provides a comprehensive suite of analytics tools that enable businesses to collect, analyze, and utilize their data to make informed decisions. As a result, there is a high demand for professionals who are knowledgeable in SAP Analytics Cloud (SAC).
What is the 2 difference between business intelligence and data? ›Business intelligence addresses ongoing operations, helping businesses and departments meet organizational goals. Data analytics can help companies that want to transform the way they do business. Both disciplines can benefit from a little data preparation.
Which is better big data or business intelligence? ›
Business Intelligence helps us find the answers to the business questions we know, whereas Big Data helps us find the questions and answers we didn't know before. Although Business Intelligence and Big Data are two technologies used to analyze data sets to help organizations in decision-making, they have differences.
What is the difference between OLAP and business intelligence? ›OLAP (Online Analytical Processing) is the technology behind many Business Intelligence (BI) applications. OLAP is a powerful technology for data discovery, including capabilities for limitless report viewing, complex analytical calculations, and predictive “what if” scenario (budget, forecast) planning.
What are the three methods of data discovery? ›The data discovery process
Ultimately, there are three main data discovery categories: preparation, visualization, and analysis. These steps continually work together to provide hidden insights, potential security breaches, and visual mapping.
Data analytics involves mainly six important phases that are carried out in a cycle - Data discovery, Data preparation, Planning of data models, the building of data models, communication of results, and operationalization.
What are the five 5 key steps of data analysis process? ›- STEP 1: DEFINE QUESTIONS & GOALS. The first step in data analysis is to clearly define your questions and goals. ...
- STEP 2: COLLECT DATA. ...
- STEP 3: DATA WRANGLING. ...
- STEP 4: DETERMINE ANALYSIS. ...
- STEP 5: INTERPRET RESULTS.
SAP S/4HANA Cloud 2202 introduces a new end-to-end process as part of the Supply Chain. Using manual planning with freight booking documents in the transportation cockpit, businesses can perform manual transportation planning even for ocean freight.
Which editions are available for SAP Analytics Cloud? ›CLOUD SERVICE
SAP Analytics Cloud is available in the following editions: SAP Analytics Cloud for planning, professional edition; SAP Analytics Cloud for planning, standard edition; and SAP Analytics Cloud for business intelligence.
In SAC we have 2 types of Models. The Analytical Model and Planning Model. A Model consists of Dimensions and Measures.
What are the different types of data models in SAP? ›The three primary data model types are relational, dimensional, and entity-relationship (E-R).
Is SAP a good career in 2023? ›Because of their knowledge of SAP technology and financial management, SAP FICO professionals are in great demand on the job market.
Is SAP career stressful? ›
SAP work, therefore, can be stressful for the professionals working on such projects, with tight deadlines and quality goals. If a SAP professional does not handle the work-life balance issues that come with the stress, he will find himself not meeting either career goals or personal goals.
Is SAP high paying? ›The highest-paying job at SAP is a Account Director with a salary of ₹81.6 Lakhs per year.
What is the difference between SAP S 4HANA and SAP C4C? ›Differentiation: SAP C/4HANA vs.
The distinction between C/4HANA and S/4HANA is relatively simple: while C/4HANA focuses on customer experience (CX) and customer relationship management (CRM), SAP S/4HANA is the latest ERP generation. C/4HANA can be used "stand alone" or in close combination with S/4HANA.
Hardware, Software, Operation, and Maintenance
The most obvious difference between the on-premise and cloud editions of SAP S/4HANA is the fact that you operate, maintain, and manage the SAP S/4HANA on-premise editions yourself, while SAP carries out these tasks in the public cloud editions.
...
S/4HANA Cloud vs On-Premise.
| Features | S/4HANA On-Premise | S/4HANA Cloud |
|---|---|---|
| Upgrades | With the on-premise version, you can expect more regular upgrades as the company makes it better and better. | The Cloud edition has fewer upgrades but allows you to schedule them. |
The scripting language used in Analytics application is JavaScript.
What is the difference between SAP Analytics Cloud public and private edition? ›SAP Analytics Cloud is offered in two modes, Private and Public editions. Both Editions are hosted with the difference that the Private hosts only one customer while the public offers multi-tenancy.
Which of the following are the 3 main types of data in SAP? ›Data types can be divided into elementary, reference, and complex types.