Best Practice Dashboarding with SAP Analytics Cloud (SAC) (2024)

My colleagues and myself have talked a lot about Data Warehousing, Analytics, Reporting, Predictive and Planning in previous blogs and in several Webinars so far this year. However, we have not touched Best Practice in Dashboarding with SAP Analytics Cloud (SAC).

Best Practice Dashboarding with SAP Analytics Cloud (SAC) (1)

Regardless of the solution, there are many or rather too many features and functions available. This is a big chance but also a risk to “play” around. Apart from the technical side, everyone of us has a unique personal taste. I see this in projects, in our own company and even at home.

Which of the 4 Numeric Point is your favorite?

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If you ask 4 colleagues about the desired Font Size in the Dashboard, you will end up with 5 answers but who is right and who is wrong? The phrase “Beauty lies in the eye of the beholder” is often used but does not solve the challenges and might even hinder the necessary discussions about this topic.

Which of the 3 tables is your favorite?

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My aim in this blog is not to convince you of this or that style and design. I want to give you some general advice, some food for thought and some basic principles which will support you in the creation of a suitable guideline and approach to Dashboarding. Even though most of it suits different solutions, my examples will focus on the SAP Analytics Cloud.

It is wise to invest some time in an early project stage to discuss this and to do some prototyping or just start building your first story in the SAP Analytics Cloud in an agile way. This will avoid unnecessary rework at a later stage and establish guiding principles to all future Story builders.

You might have documents covering Corporate Identity and Corporate Design as well as notations standards in place, but do they cover it all?

Notation standards like IBCS (www.ibcs.com), which is quite popular in the D/A/CH region, cover a couple of these topics. SAP Analytics Cloud supports some of the recommended IBCS standards.

Why visualize?

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  • More than 59 ZB (59 billion Terabytes) of data will be created, captured, copied and consumed in the world in 2020
  • Ratio of unique data (created and captured) to replicated data (copied and consumed) is roughly 1:9
  • CAGR through to 2026 is approximate 26%
  • Amount of data created over the next three years will be more than the data created over the past 30 years and we will create more than three times the data over the next five years than we did in the previous five.

Visualization matters!

This survey gives enough reason to think about how we consume and visualize data in a most efficient manner.

Researchers found that

  • Color visuals increase the willingness to read by 80%
  • We get the sense of a visual scene in less than 1/10 of a second

Data visualization

  • Makes it easy to recognize patterns and find exceptions
  • Enables you to interpret data at faster pace
  • Allows to analyze challenging data sets

The modern dashboarding tools allow you to get a new, fresh look at your data and gain insights – therefore:

  • Start the design from scratch to get the most out of the tool and do not copy/paste existing reports (Excel, PowerPoints etc.). By doing so you will be able to make full use of the solution’s potential and provide your clientele with a fresh and up-to-date consumer experience.
  • Be aware that it is an agile process, the first dashboard version often needs to be reworked.

What to visualize?

Before you can start with the visualization, you need to know:

Your audience, their expectations and needs?

  • Self-Service BI
  • Point of Access
  • Mobile
  • On- and offline
  • Printing

What is my story

  • What is the content?
    Start -> Middle -> End
  • What do I want to tell?
  • Which questions shall be answered?
  • Which insights into the data will be given?
  • Which visualizations are the best fit?

Your data

  • Can my data fulfill those expectations?
  • How do I need to model my data to be fit for purpose?

The greatest value of a picture is … when it forces us to notice what we never expected to see.

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John TukeyStatistician

Tipps for Stories

Simplicity remove anything that is not absolutely central
to the interpretation of the data.

  • Stories are not a place for artistic impressions

Most important information comes first

  • The important charts can be seen without scrolling, make them bold, do not hide the information in charts
  • Group the interrelated information together, this makes it easier to compare and gives deeper insights

Perfection is achieved, not when there is nothing left to add, but when there is nothing left to remove.

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Antoine de Saint-Exupéry, Writer

Start with the big picture and then drill down

  • Create a couple of high-level summary pages and enable the user to drill down for deeper insight

Use thresholds for easier, faster insights

Alignment and logical order of charts

  • Most important information comes first
  • We read from left to right and top to bottom, therefore place the widgets accordingly
  • Align the widgets, clean and fresh look

Use colors when appropriate but sparingly

  • Use high contrast, what might look good might not clarify the numbers

Use the best, not the prettiest visualization

Context

  • Make sure that it is always clear what you look at
    (Selections, Currencies, Time, Units, Legends, Deviations etc.)

Choose the right visualization

Choosing the right visualization will have a big impact on your user side.
They must be able to understand, interpret and starting the right actions on the spot. In such a way, you will gain a high adoption and approval ration for your dashboard.

IBCS

Have a look at www.ibcs.com. You will find valuable tips for all sorts of visualization.

A great visual design standard will accelerate understanding and consumptions of your data. It is that simple. For your business to reap the benefits of data visualizations, organizations need to create a visual design standard that incorporates best practices.

The International Business Communications Standards (IBCS), is a non-profit organization that established a rather comprehensive and detailed visual standard for designing both reports and presentations. It is highly recommended that anyone who develops reports, either as a data professional or business analyst, should peruse both the IBCS website (https://www.ibcs.com/) and Rolf Hichert’s consulting website (www.hichert.com)

Visualization with SAP Analytics Cloud

Story Layout

Initial questions regardless of content

How will the story be consumed? This has an impact on whether to work with Canvas or Responsive Pages (Mobile)

  • on Desktops / Laptops
  • via the SAC IOS/Android on mobile devices
  • in the SAC Digital Boardroom

Shall the story be exported to PDF/Google Slides and be printed?

  • A4 Portrait or Landscape
  • Please be aware that the SAC is primarily built for online access and interaction. If you need a highly formatted, printable monthly reporting, you might want to consider SAP Crystal Reports or even SAP Disclosure Management.Some improvements are announced on the roadmap for 2021.

Are there Corporate Identity / Corporate Design guidelines to follow? If not, please set up some minimal guidelines regarding

  • Font & Font sizes for Titles, Subtitles, Widgets
  • Color schemes
  • Number Scaling and decimal places
  • Formatting of different Versions (Actual, Budget, Forecast)
  • Background color of the story and widgets
  • Logo (size and placement)

Content

Obviously, the content is important.

One question which will arise certainly is“How many widgets(Numeric Point, Tables, Charts, etc.)shall I put on one page?”.

That is not so easy to answer but following considerations will assist you:

  • Are my users willing to scroll horizontally and or vertically?
  • How is the performance, loading time of my page?
    • It might be a difference to load 5 widgets based on 5 different data sources to 5 widgets based on one single data source.
  • Will I work with Story and/or Page filters?
  • and more…

Design the Storyline and Flow, keep in mind your audience

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SAP Analytics Cloud Template

The SAP Analytics Clouds comes with several templates for different scenarios. You can create your own templates from scratch and/or on basis of the provided SAC templates. A mix of different page layouts in the same story is possible but I would advise against it

Interested?

Did I manage to get your attention?

Me and my colleagues would be happy to talk to you about the Best Practice approach to Dashboarding.

Sources: All charts, pics are licence free or property of CubeServ AG

Best Practice Dashboarding with SAP Analytics Cloud (SAC) (2024)

FAQs

Which SAP Analytics Cloud tool do you use to build dashboards? ›

Boardroom - co*ckpit for the Management

Boardroom bundles the dashboards you create from SAC so you can use them to gain real-time insight and make critical decisions for top management.

How to improve performance in SAP Analytics Cloud? ›

Optimize System Performance with the Analysis Tool
  1. Use the Performance Decision Tree.
  2. Run the Performance Analysis Tool.
  3. Find Resources.
  4. Browser/Client Optimization.
  5. Analytic Application Optimization.
  6. Story Optimization.
  7. Planning and Data Action Optimization.
  8. Network Optimization.

What are the three main components pillars of SAP Analytics Cloud? ›

The three main components of SAP Activate are SAP Best Practices, Guided Configurations, and the SAP Activate Methodology.

What data visualization tool is best for dashboards? ›

The Best Data Visualization Software of 2023
  • Microsoft Power BI: Best for business intelligence (BI)
  • Tableau: Best for interactive charts.
  • Qlik Sense: Best for artificial intelligence (AI)
  • Klipfolio: Best for custom dashboards.
  • Looker: Best for visualization options.
  • Zoho Analytics: Best for Zoho users.
Jun 25, 2023

What is the most widely used data visualization components for dashboard? ›

Tableau. One of the most widely used data visualization tools, Tableau, offers interactive visualization solutions to more than 57,000 companies.

What are the 4 elements of dashboard? ›

Remember, the basic element of a dashboard are Objective (+primary and secondary drivers), Performance Indicator, Target and Activities.

What are the golden rules of dashboard design? ›

Therefore, it is good practice to design your dashboards in such a way that the most important information is at the top left and then work your way across and down. Of course, if you are from a country where text is read right to left, then design it like that.

What are the three key aspects of designing a great dashboard? ›

The 3 Key Pillars to Better Dashboard Design
  • Develop a Plan. It's natural to want to play around with your data and jump right into building dashboards. ...
  • Sometimes Less is More. ...
  • Keep the End Viewer in Mind.

What are the key benefits of using SAP analytics Cloud? ›

SAP Analytics Cloud Features
  • Analytics and Business Intelligence. Intuitive self-service analytics can help you explore data across the organisation and deliver insights at the point of decision. ...
  • Enterprise Planning. ...
  • Composable Analytics. ...
  • Prebuilt Business Content.

Which SAP software strategy is represented by SAP analytics Cloud? ›

SAP Analytics Cloud uses the SAP HANA platform directly and represents its own BI platform.

What are the fundamental components of SAP Analytics Cloud? ›

SAP Analytics Cloud has three fundamental components: data, models, and stories.

What are the three core elements of analytics? ›

Descriptive, predictive and prescriptive analytics.

What components does SAP Analytics Cloud include such as? ›

In addition to business planning, the other key components are BI (for reporting, Dashboarding, data-discovery and visualization), predictive analytics and governance, risk, and compliance (GRC).

Which types of dashboards would you recommend? ›

So What Types Of Dashboard Works Best For Your Business?
  • Strategic - focused on long-term strategies and high-level metrics.
  • Operational - shows shorter time frames and operational processes.
  • Analytical - contains vast amounts of data created by analysts.
  • Tactical - used by mid-management to track performance.
Mar 22, 2023

What is the difference between dashboard and data visualization? ›

To recap, Data Visualization is the process of presenting information in a visual form. Its purpose is to promote quick and easy understanding of the information. A Dashboard is a snapshot, or summary, of a large set of information. Data Visualization and a Dashboard are often used together.

How many visualizations should a dashboard have? ›

Each dashboard should contain no more than 5-9 visualizations. Some dashboard designers feel the need to cram as many details as possible into their dashboard in an effort to provide a fuller picture.

What data should be in a dashboard? ›

Usually, a dashboard is intended to convey different, but related information in an easy-to-digest form. And oftentimes, this includes things like key performance indicators (KPI)s or other important business metrics that stakeholders need to see and understand at a glance.

What are the three key components of data visualization include? ›

There are four elements of effective data visualization according to David McCandless. These include the information, the story, the goal, and the visual form.

What are the 3 layers of dashboards? ›

It is composed of the “three threes.” There are three types of applications (monitoring, analysis, and management), three layers of data (graphical, dimensional, and transactional), and three types of dashboards (operational, tactical, and strategic.)

What are the three main types of dashboards? ›

Author. Let's explore the common types of dashboards used in the business world. These can be categorized into three main types: operational, strategic, and analytical.

How do I organize my dashboard? ›

Most of the time, you're going to be using a combination of numbers, bars, lines and tables and not much else.
  1. Group your related metrics. ...
  2. Be consistent. ...
  3. Use size and position to show hierarchy. ...
  4. Give your numbers context. ...
  5. Use clear labels your audience will understand. ...
  6. Remember it's for people. ...
  7. Keep evolving your dashboards.

What is the rule of thumb for dashboards? ›

As a general rule of thumb, a dashboard should do the following: Show only the most important information. Draw attention where it's needed. Help users understand the data so that it becomes an insight.

What is the first step in the 7 step dashboard design guidelines? ›

1. Requirement gathering. This is the most important step of the process - asking your users and stakeholder the right questions and gathering accurate requirements. It will set a solid foundation for your build and will deeply influence your next steps as well.

What is the success criteria for dashboard? ›

What makes a good dashboard:
  • 2.Single Audience. Who is the core audience for your dashboard? ...
  • Key Performance Metrics (KPIs) In order for your dashboard to be useful, it needs to focus on metrics that are essential to your business success. ...
  • Visualisation. Keep your visualisation simple. ...
  • SubReports.

What does a good dashboard look like? ›

Great dashboards are clear, intuitive, and customizable.

They display information clearly and efficiently. They show trends and changes in data over time. They are easily customizable. The most important widgets and data components are effectively presented in a limited space.

What are the four key success factors of dashboard reporting? ›

Successful dashboards achieve the following:
  • Successfully communicate strategic-level results.
  • Present data in a user-friendly visual format.
  • Create snapshot of current status and trends over time.
  • Show performance against defined targets.
  • Highlight out-of-the-ordinary results.
Mar 6, 2017

How do I create a measure in SAP Analytics Cloud? ›

Select a table and then open the Calculation Editor: Under Rows or Columns in the Builder tab, select Add Measures/Dimensions and add either the Account or Cross Calculations dimension. You can rename the Cross Calculations dimension. For the row or column that you added in the Builder tab, select Add Calculation.

How to configure SAP Analytics Cloud? ›

Procedure
  1. Download the SAP Analytics Cloud agent from the SAP Support Portal. ...
  2. Unzip the downloaded file and rename the WAR file to C4A_AGENT. ...
  3. Extract the package and copy the file C4A_AGENT. ...
  4. Create a user for the SAP Analytics Cloud agent and assign the Services role to the user.

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.

Why do we use sac? ›

Its main function is the creation of data reports.

It allows every user to produce reports of varying complexity with complete autonomy. SAC is positioned in the segment of analytical tools for data visualization, in the same way as the Microsoft tool, Power BI.

What is the purpose of SAP Analytics Cloud? ›

SAP Analytics Cloud brings together analytics and planning in a single solution in the cloud. You can instantly move from insight to action, simulate any scenario for better business outcomes, and generate plans from predictions automatically to drive agile decisions.

What are the main strategic differentiators of SAP Analytics Cloud? ›

SAP Analytics Cloud offers a more user-friendly interface, faster deployment times, and lower costs compared to SAP BusinessObjects. It provides a range of features including planning, predictive analytics, and visualization, all in one platform.

What programming language does SAP Analytics Cloud use? ›

The language used is java script. The JS is also used in creating custom widgets. The use case is Analytics as well as Planning solution.

Does SAP Analytics Cloud need coding? ›

You do not need ANY coding expertise.

Which are the core functional use cases of SAP Analytics Cloud? ›

SAP Analytics Cloud Features
  • 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.

What are the four 4 types of analysis? ›

Modern analytics tend to fall in four distinct categories: descriptive, diagnostic, predictive, and prescriptive.

What are the 4 phases of analytics? ›

All four levels create the puzzle of analytics: describe, diagnose, predict, prescribe. When all four work together, you can truly succeed with a data and analytical strategy.

What are the 4 stages of data analysis? ›

Understanding the four stages of data: collect, curate, analyse, and act.

What does SAP Analytics Cloud integrate with? ›

What types of data sources can I connect to with SAP Analytics Cloud? SAP Analytics Cloud can connect to various on-premise and cloud data sources, including SAP HANA, SAP S/4HANA, SAP BW/4HANA, SAP BusinessObjects solutions, SAP Business Planning and Consolidation, SQL, OData, Google BigQuery, and many more.

Is SAP Analytics Cloud a data warehouse? ›

SAP Datasphere (formerly DWC) - The Future of Data Warehousing. SAP's innovative cloud-based data warehousing solution for business and IT users enables self-service data modelling and avoids shadow IT solutions.

What type of connection is SAP Analytics Cloud? ›

SAP Analytics Cloud can connect to various data sources both cloud and on-premise. Two most common methods are Live and Acquire(Import) data connection.

What tool is used to create dashboards? ›

Some of the best free dashboard tools for visualizing your metrics and KPIs are Datapad, Grafana, Databox, Dasheroo, FineReport, Metabase, Google Data Studio, Matomo, Tableau, and Inetsoft.

Which Azure resource do you use to create a dashboard? ›

The Azure portal provides a default dashboard as a starting point. You can edit the default dashboard and create and customize additional dashboards.

How do I create a dashboard in SAP? ›

How To Create A Dashboard
  1. Start OCC Dashboards or Tactical Dashboards from the SAP Focused Run launchpad. The tiles are located in the "Advanced Dashboarding & Intelligence" application group.
  2. Press the «Personalization» button to access the configuration panel of the newly created page.

How do I create a dashboard in analytics? ›

To create a Dashboard:
  1. Sign in to Google Analytics.
  2. Navigate to your view.
  3. Open Reports.
  4. Click CUSTOMIZATION > Dashboards.
  5. Click Create.
  6. In the Create Dashboard dialog, select either Blank Canvas (no widgets) or Starter Dashboard (default set of widgets).

What is the difference between Azure workbook and Azure dashboard? ›

Azure dashboards are useful in providing a "single pane of glass" of your Azure infrastructure and services. While a workbook provides richer functionality, a dashboard can combine Azure Monitor data with data from other Azure services.

How do I Create a data action in SAP Analytics Cloud? ›

In the Data Action Settings pane, type a Name for the data action, and optionally type a Description. Select the Default Model for the data action. Most steps will use this model as the data source and target. For cross-model copy steps, this model will be the target, and you can pick a different source model.

Does SAP have dashboards? ›

SAP Dashboard is a SAP Business Objects Data Visualization Tool that is used to create interactive dashboards from different data sources. Dashboard allows BI developers to create custom dashboards from almost any data source to meet the business requirements in an organization.

Is there a dashboard in SAP? ›

SAP provides a dashboard framework in SAP Solution Manager. These dashboards comprise several apps which each output information and process an aspect of the topic.

What is an example of an analytical dashboard? ›

Examples of Analytical dashboards include: Comparing Sales trends over time and forecasting. Digital Marketing dashboards that measure campaign performance.

What is the difference between analytics and Dashboards? ›

Analytics Answers the “Why Behind the What”

So if dashboards answer the “what,” then analytics answer the “why” behind the what. Analytics take it a step further, digging down deeper into the data. We might pose analytics questions like: “When users search my site, what are the solid business outcomes/conversions?”

What is the purpose of an analytics dashboard? ›

The control panel to your business, an analytics dashboard allows you to see a general or detailed overview of company performance. This tool is used to help organisations quickly identify workplace statistics based on KPIs.

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