Designing and Interacting with Sisense Dashboards from Pluralsight

This course will teach you how to build intuitive and responsive dashboards to enable all round analysis of business data.

Business intelligence involves looking at data from multiple dimensions to gain a big-picture understanding of what it contains. In this course, Designing and Interacting with Sisense Dashboards, you’ll learn to create and configure dashboards which make it easy for users to extract meaningful insights from your data.

First, you’ll explore why dashboards are useful, and how these can be created in Sisense. You will see how individual widgets can be composed into dashboards, and how the designer mode and the view mode offer different functionality.

Next, you’ll discover various techniques to improve the quality of your dashboards, from both analysis and performance perspectives. You will implement both widget-level and dashboard-level filters, and see how they resemble and differ from each other.

Finally, you’ll learn how to set up alerts when your underlying data meets a specific condition using the Sisense Pulse feature. You will configure a threshold for a value displayed in a widget and implement a mechanism to receive notifications when that threshold is crossed.

When you’re finished with this course, you’ll have the skills and knowledge of dashboards and pulse alerts needed to enable users to glean actionable insights from your data, and to be alerted when that data changes to meet a specific condition.

What's inside

Syllabus

Course Overview

Building Sisense Dashboards

Designing and Configuring Dashboards

Setting up Pulse Alerts

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

This course is most beneficial for learners who are completely new to Sisense or business intelligence

An explicit understanding of data analysis and how to find insights would be beneficial prior to taking this course

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Designing and Interacting with Sisense Dashboards with these activities:

Supplemental Review of Data Exploration and Data Analysis

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This activity will aid in reviewing some of the data exploration and analysis techniques that are fundamental to business intelligence.

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Review course materials from a related course on data exploration and analysis.
Practice applying these techniques to real-world datasets.

Review of “Data Visualization: A Practical Introduction”

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This book provides a comprehensive overview of data visualization principles and techniques, reinforcing the concepts covered in the course.

View Data Visualization: A Successful Design Process... on Amazon

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Read and review the book.
Summarize key concepts and techniques from the book.

Collection of Data Visualization Resources

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This activity will help you organize and expand your knowledge of data visualization techniques and tools, enhancing your ability to create effective dashboards.

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Gather resources on data visualization best practices and techniques.
Organize and curate these resources for future reference.

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Career center

Learners who complete Designing and Interacting with Sisense Dashboards will develop knowledge and skills that may be useful to these careers:

Business Intelligence Analyst

Business Intelligence Analysts help companies use data to make better decisions. They are responsible for collecting, analyzing, and interpreting data in order to build dashboards and reports that help management understand their business. A Business Intelligence Analyst uses data to help companies understand their current position and future prospects.

See salaries and explore the career path for Business Intelligence Analyst

Data Scientist

Data Scientists are responsible for developing and implementing new ways to collect, process, and analyze data. Businesses use the insights created by Data Scientists to make better decisions, improve efficiency, and develop new products and services.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts examine data in detail to find meaningful insights. Numbers and data are a Data Analyst's specialty, they possess analytical skills and an ability to translate technical information for stakeholders. If you're passionate about data analysis, this course is a great introduction and can help build a foundation for your transition into this career path.

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Data Engineer

Data Engineers build, maintain, and manage the infrastructure that stores and processes data. By designing and implementing data pipelines, Data Engineers ensure that data is available to other users in a timely and efficient manner. The ability to design and configure dashboards will likely add to the skill set of a Data Engineer.

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Database Administrator

Database Administrators (DBAs) are responsible for managing and maintaining databases. They ensure that databases are running smoothly, securely, and efficiently. DBAs may also be responsible for designing and developing new databases. The skills learned in this course to configure dashboards and implement pulse alerts may be helpful for a Database Administrator.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They use their knowledge of programming languages and software development tools to create software that meets the needs of users. Software Engineers may collaborate with other professionals to develop new dashboards that help businesses make better decisions. While this course is focused on Sisense, the skills and knowledge acquired from it can be applied to many different software engineering roles.

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Product Manager

Product Managers are responsible for managing the development and lifecycle of a product. They work with engineers, designers, and other stakeholders to define the product vision, set priorities, and track progress. Product Managers may use dashboards to track key metrics and make decisions about the product.

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Business Analyst

Business Analysts help companies identify and solve business problems. They use their knowledge of business processes and data analysis to develop solutions that improve efficiency and profitability. Dashboards are often used by Business Analysts to present data in a clear and concise way that can be used to make decisions.

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Data Journalist

Data Journalists use data to tell stories and explain complex issues. They use their skills in data analysis and visualization to create articles, infographics, and other content that helps people understand the world around them. The ability to design and configure dashboards can be helpful for Data Journalists who need to present data in a clear and concise way.

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Financial Analyst

Financial Analysts use data to make investment decisions. They analyze financial data to identify trends and make recommendations about which stocks, bonds, or other investments to buy or sell. Dashboards can be used by Financial Analysts to track key metrics and make decisions about investments.

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Market Researcher

Market Researchers collect and analyze data to understand consumer behavior. They use this data to help businesses develop new products and services, and to improve marketing campaigns. Dashboards can be used by Market Researchers to track key metrics and make decisions about marketing strategies.

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Operations Research Analyst

Operations Research Analysts use data to solve business problems. They use their skills in mathematics and optimization to develop models that help businesses improve efficiency and profitability. Dashboards can be used by Operations Research Analysts to track key metrics and make decisions about operations.

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Statistician

Statisticians collect, analyze, and interpret data. They use their skills in mathematics and statistics to develop models that help businesses understand their customers and make better decisions. Dashboards can be used by Statisticians to track key metrics and make decisions about statistical models.

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Quantitative Analyst

Quantitative Analysts use data to make investment decisions. They use their skills in mathematics and finance to develop models that help businesses identify and manage risk. Dashboards can be used by Quantitative Analysts to track key metrics and make decisions about investments.

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Actuary

Actuaries use data to assess risk and make financial decisions. They use their skills in mathematics and statistics to develop models that help businesses understand and manage risk. Dashboards can be used by Actuaries to track key metrics and make decisions about risk.

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Designing and Interacting with Sisense Dashboards

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