Using Augmented Analytics

Objectives
After completing this lesson, you will be able to:

After completing this lesson, you will be able to:

  • Create a predictive forecast
  • Run a Smart Discovery and use Smart Insights
  • Use Smart Predict

Predictive Forecast

Predictive forecasting uses historical data to predict future possibilities. The more historical data there is, the more accurate the prediction. Predictive forecasting takes different values into account, and also looks at trends, cycles, and fluctuations in your data. This data-driven approach optimizes your planning process as it is based on facts, not feelings.

Watch this video to learn about the Predictive Forecast.

The key features of predictive forecasting are:

  • Easy to use
  • No set-up required
  • Use Smart Predict for more advanced requirement
  • Select from existing algorithms:
    • Automatic
    • Linear regression
    • Triple exponential smoothing
    • Add additional inputs to simulate expected future values

Time series forecasting

The figure Time Series Forecasting shows how smart assist allows you to project possible future outcomes based on additional factors such as seasonal information.

Now, let's look at the predictive features supported by SAP Analytics Cloud.

Use Predictive Forecast

Task 1: Run a predictive forecast

Task Flow

In this practice exercise, you will perform the following tasks:

  • Run a predictive forecast
  • Customize your forecast using the style pane

Smart Discovery

Smart data discovery is a next-generation data discovery capability that provides business users or citizen data scientists with insights from advanced analytics.

Key Features of Smart Discovery

  • Auto-generate fully populated, multi-tabbed stories with Overview, Key Influencers, Unexpected Values and Simulation pages
  • Identify actionable insights powered by Machine Learning 
  • Expose key influencers driving business-critical KPIs
  • Analyze outliers to identify impactful decisions 
  • Predict future outcomes with interactive simulation

Running a Smart Discovery on a data set uses artificial intelligence to analyze that data and generate a story consisting of Overview, Key Influencers, Unexpected Values, and Simulation pages.

Watch this video to learn about Smart Discovery.

The figure Smart Discovery: Core KPIs shows how you can understand the main business drivers behind your core Key Performance Indicators (KPIs), such as your revenue, churn, or employee productivity.

By exploring your KPIs, you can:

  • Uncover key influencers by using classification and regression techniques.
  • Interact with insights and explore hidden structures and relationships.
  • Find the answer to business questions through intuitive charts and natural language.

You can also simulate possible outcomes based on your business scenarios, as seen in the figure Smart Discovery: Simulation. For example, you may want to simulate the value of a new sales opportunity in your industry.

By running simulations, you can:

  • Predict the outcome of a particular KPI or record value based on historical data.
  • Experiment to see how particular dimension or KPI values will affect your bottom line.

With dynamic text tokens in chart footers, you can supplement visualizations with smart textual explanations on the contributors behind your data.

SAP Analytics Cloud runs on SAP HANA, so the core predictive features of SAP HANA are available, which includes the Automated Predictive Library (APL) and the Predictive Analysis Library (PAL).

Run Smart Discovery

Task 1: Business example

Based on the dataset in an existing story, you want to see what factors influence the salary you pay your employees. As you are not familiar with HR data, you want to use Smart Discovery in SAP Analytics Cloud which automatically creates a story for you.

Task flow

In this practice exercise, you will complete the following tasks:

  • Run a Smart Discovery with acquired data
  • Configure your story

Smart Insights

Smart Insights allows you to quickly develop a clear understanding of intricate aspects of your business data. All you need to do is select a specific data point and choose Smart Insights. In the figure Smart Insights you can see what the top contributors are to the deal value for Enterprise customers.

Consider you are interested in analyzing the total annual salary spent in North America (NA). You can see that the company has employees situated in three countries: Belgium, Canada, and the USA. As the company is spending more in the US, explore who are the top contributors.

Let's run smart insights on annual salary in USA.

Use Smart Insights

Task 1: Business example

You have used Smart Discovery to create your story and now you want to futher explore the data. You decide to use Smart Insights to explore the data in the story you have created.

Task flow

In this practice exercise, you will complete the following tasks:

  • Use Smart Insights to gain intrinsic information about key contributors
  • Explore the data from overview, key influencers, unexpected values, and simulation pages

Smart Predict

Smart Predict helps you answer business questions that need predictions or predictive forecasts to plan for future business evolution. It automatically learns from your historical data, and finds the best relationships or patterns of behavior to easily generate predictions for future events, values, and trends. Additionally, you get easy-to-understand Key Performance Indicators (KPIs) and visualizations that help you evaluate the predictions accuracy. You can then leverage those predictions and predictive forecasts with confidence to augment your planning model and stories.

You can create one or several predictive models within a Smart Predict. Each predictive model produces intuitive visualizations of the results making it easy to interpret its findings. Once you have compared the key quality indicators for different models, you choose the one that provides the best answers to your business question, so you can apply this predictive model to new datasources for predictions.

  • Trial tenants do not currently support Smart Predict.
  • Smart Predict is not necessarily available on all existing SAP Analytics Cloud tenants. To verify that Smart Predict is available in your SAP Analytics Cloud system, see: SAP Note - 2661746

Planning models can be used as datasources for Smart Predict. This means you get to add predictive forecasts directly to your planning models. You can easily combine dimensions to split your data into entities, getting forecasts for each entity to improve predictive accuracy and confidence. This is beneficial for large-scale forecasting.

Planning users get access to predictive reports so they can see the quality of the debriefs and KPIs. Experiencing the business-orientated insights firsthand will build confidence for them to use the predictive forecasts.

Note

Smart Predict is explained fully in the SACPR1 training: SAP Analytics Cloud: Predictive Functions.

Smart Predict scenarios are as follows:

  • Classification
  • Regression
  • Time Series

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