What is Embedded Analytics?
Embedded analytics pertains to the process of integrating data visualizations, dashboards, real-time reports, and other analytical capabilities into another software app such as a business processes application. Due to this streamlined integration, the end user has the power to perform analysis on data within the same application where the analytics platform is also located.
Unlike traditional analytic and BI tools, which are only periodically used by a quarter of those in an organization, embedded analytics drastically changes this balance. The act of adding dashboards, charts, and even authoring environments directly inside other applications provides users across a business with access to the same powerful BI tools, simply by working with the applications they have already been using.
Embedded analytics has applications in a variety of industries and businesses in which data is collected and analyzed. One of the main reasons embedded analytics is used is due to the clear and timely business insights it provides users so that the information can be immediately acted upon.
Why Use Embedded Analytics?
Those who use embedded analytics during the data analytics process cite many benefits to doing so. Embedding analytics provides a way to:
- Customize actions so that users can more effectively interact with visualizations or dashboards.
- Create, view, or edit sales and KPI dashboards directly from the app.
- Decide which features to turn off or on for end users.
- Share a team’s performance with other groups within a company without having to create more user profiles within a BI system.
- Control not just the look and feel of how the data appears, but also the security.
- Effortlessly connect to various sources of data.
- Share a team’s data with external parties such as vendors, in the form of a live and up-to-date data feed.
This article will explore how embedded analytics is used specifically in Tableau to benefit business owners and customers alike.
How is Embedded Analytics Used in Tableau?
The COVID-19 pandemic has changed the way many organizations rely on technology. Companies and businesses that had not been optimizing data or analytics pre-pandemic had to quickly adjust to incorporate BI solutions to help navigate through the changing professional landscape over the past several years.
Not only have businesses been expanding their internal analytics capabilities, but many are now looking into analytics options to provide a better experience for their customers. By embedding BI solutions into their products and procedures, businesses are seeking ways to retain customers and discover new streams of revenue. Using embedded analytics in Tableau is one way that organizations are benefitting from the data they’ve collected and seeing cash returns on it.
Tableau provides users with several effective ways to best leverage embedded analytics:
- Tableau’s embedded analytic capabilities help to provide users with a customized experience when they purchase a product. Embedding offers a way for customers to pose questions as well as to gather helpful insights.
- Row-level security in Tableau, along with user filtering, helps users to create dashboards one time, then load filtered data as necessary depending on the permission of each user. This cuts down on the time that would otherwise be spent repeatedly creating content.
- With the help of embedded analytics, Tableau users can generate their own premium offerings to spur engagement for already existing products.
- Analytics can be embedded in Tableau directly where customers already know to go. With the help of technologies such as high-tech security measures, single sign-on options, and out-of-the-box high availability at scale, Tableau provides options for business owners to more easily and effectively reach customers. Instead of having to devote time and resources to devising BI solutions, Tableau helps business owners to instead focus their efforts on their products.
- Tableau users can customize embedded analytics integration with the JavaScript API. They can also add two-way communications to white-label analytics.
Real-World Examples of Embedded Analytics in Tableau
Organizations around the world rely on Tableau’s embedded analytic capabilities to provide better products and services to customers. Here are a few real-world examples of companies using Tableau’s embedded analytics in the past several years:
- CallMiner is a company that provides call centers with the needed technology for evaluating conversational behaviors to provide better customer service and experience. When the COVID-19 pandemic began, almost all physical call center locations were required to close. At this time, remote agents had to be quickly trained to handle call volumes from their homes. By using Tableau’s visualizations that had already been embedded into CallMiner’s products, the company was able to provide a pro-bono service, COVID CARE, that was in place to offer call centers with tailored support to help them navigate the pandemic. New dashboards helped call center administrators to perform segment analysis of various agent-client interactions, as well as to provide advice and guidance on how to better handle challenging conversations.
- PurpleCloud Technologies was utilizing a cloud-based hotel operations management platform when the COVID-19 pandemic occurred. In order to aid the hospitality industry during this trying time, the company designed PurpleCloud Covid response, a more basic version of their platform that was designed to handle the new and more demanding requirements of operating during a pandemic. With the help of Tableau dashboards, executives and hotel managers are now able to evaluate COVID compliance measures to guarantee that the space they have for guests and employees is safe.
- Airlines Reporting Corporation (ARC) works to create BI services and products specifically geared toward global travelers and travel agencies. When it embedded Tableau into its products, this corporation saved the time of having to create their own analytics capabilities in-house, and instead, the analytics were given to the agencies in an accessible format. Not only did this save ARC valuable time, but it also reduced expenses because employees did not have to waste important resources on searching for and cleaning data. Because Tableau reports are based on ARC data, this means that those reviewing the data in the reports know that it is trustworthy.
As our reliance on data continues to grow, more companies and organizations are expected to continue to implement embedded analytics options to provide a better experience for internal and external stakeholders.
Hands-On Data Analytics & Data Science Classes
For those who are interested in learning about the most current practices for analyzing, cleaning, and visualizing data, Noble Desktop offers data analytics classes for beginners as well as more advanced learners. These full-time and part-time courses are taught by top New York Data Analysts and provide timely and hands-on training for those wishing to learn more about topics like Python, SQL, Excel, or data science, among others.
Those who are committed to learning in an intensive educational environment may also consider enrolling in a data analytics or data science bootcamp. These rigorous courses are taught by industry experts and provide timely instruction on how to analyze and visualize large sets of data. Over 90 bootcamp options are available for beginners, intermediate, and advanced students looking to master skills and topics like data analytics, data visualization, data science, and Python, among others. These courses vary from 18 hours to 72 weeks and range in price from $800 to $60,229.
In addition, a variety of live online data visualization courses are also offered for those who want to learn how to create engaging data visualizations in the virtual format. More than 80 classes are available, varying in length from three hours to five months, and costing between $229 and $12,995.
Those who are interested in finding nearby Tableau classes can use Noble’s Tableau Classes Near Me tool. This handy tool provides an easy way to locate and browse more than three dozen of the best Tableau classes currently offered in the in-person and live online formats so that all interested learners can find the course that works best for them.