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DOMO Tutorial – Table of Content

What is Domo?

Domo is a cloud-based business intelligence software company first founded in 2010 by Josh James, located in American fork, Utah, United States. The main purpose of Domo is to provide business intelligence tools and data visualizations. This cloud-based platform helps users to integrate the business data from multiple sources. Domo supports collaborating with users, data, and systems to form a digitally-connected platform. Domo is one of the SaaS (software-as-a-service) software ventures. Domo is mainly used to perform operations like; data-analytics, data visualization, reporting, and digitalization. Up to five users can access the Demo tool free of cost. This software tool provides fully integrated business data for many textual programming languages.

Why Domo?

As I said earlier the main purpose of using Domo is to mainly perform data analytic and visualization operations. Apart from these usages, Domo has been used for other real-time activities. So these make Domo as one of the popular business intelligence tools. I would like to explain the main reasons why we need Domo in our business organizations;

  • By using Domo tool you can run your company with the help of Mobile phones.
  • This software tool lets the user perform real-time data in the real environment.
  • Domo is available in the form application (app) so that you can access it easily.
  • This offers data-driven business intelligence and analytics.
  • Offers a high-level of consumerization and mobility.
  • Matured levels of data monitoring also possible.
  • Decision making: This Domo converts the business data into information. This helps the management to make fact-based decisions.
  • This supports dashboard services and business assistance.
  • Mobile services are getting easier because of the Domo business tool.

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Domo Architecture

Domo Architecture

Domo architecture explains the components and their applications. The below diagram will give you some idea about real-time Domo components usage and their functions. So let’s check with Architecture;

Firstly have a look into the Domo advanced components;

  • Implementation in windows: This sever is the best to run your application without any use of java web application servers. This traffic allows traffic between the client browser and Domo advanced to pass through and appear as though it is coming from Microsoft IIS.
  • Domo architecture is made up of several applications such as;
  • Domo builder: It is a kind of desktop application written in java language mainly used to create and design dashboard applications.
  • Any of these Domo application servers can be configured to use SSL as an added measure of security.
  • Supported browsers: Domo advanced administrator is used to configure and manage the multiple Domo servers.
  • Mobile Servers: This Domo mobile server is a specialized mobile application browser mainly used for iPhone, Android, and other smartphones.
  • These components, servers, and applications can able the user to access them on the Domo dashboard.

Domo Software:

Domo Software is a cloud-based business intelligence platform designed to offer easiest, real-time, and direct access to the business data. And also make them run on dashboard browsers to help several mobile application servers. It is a SaaS (software-as-a-service) software venture. This software also used to perform data analysis, data visualization, and reporting operations. Domo software is available for free and helps to run the business application everywhere. Domo’s freemium allows up to five users to access it and if you need it for advanced application, you can change it from freemium to premium.

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  • 24/7 online expert support
  • Real-world & Project Based Learning

Details of Domo pricing:

Domo Pricing is nothing but the total cost of the functionality.

Domo is the app to help you truly “showcase” the numbers, without needing to write gazillion lines of code in the process. The data visualizations are staggering. The ease of incorporating data sources into the platform is very simple. Domo is as simple as connecting your data and building a “card” – a sort of mis easy to create and read reports on analytics and social media for the client. The only limit you may find in the Domo is the price point- while the basic functions are free to come up with a generous 100 GB of space, maybe a deal-breaker for many consultants. Finally, there is a Domo for developers that allow you to customize just about everything you can think of. Domo tool’s connectors and user interfaces help users to  access other apps namely QuickBooks, Excel, or social media platform for better communication with the clients. Users can able to create customized indicators from the usage of external data sources analysis purpose and present the overall result on the Domo dashboards.

Before you start learning the Domo Course we suggest you learn Tableau Online Course

Difference between Domo Vs Tableau

Here I am going to explain the main differences between Tableau and Domo:

Topic Tableau Domo
Data sources and Data connectors Holds a good comprehensive list of data sources and also custom connectors. Domo holds a huge list of data sources mainly based on company business roles and also custom connectors.
Data team Large ecosystem of users and talent available being one of the oldest BI toolsData team Good options and community due to ease of use of the tool
End users Can be accessed using Tableau cloud/servers in browsers and able on Tableau Reader in local environments Completely cloud-based, it has cards, collections and dashboards all can be accessed by using single URLs
Data Size and growth All its connectors handle the data very well In Domo, all the connectors handle the data very well and Domo software team update them regularly
Timelines and Cost To manage a large amount of data, backend work and SQL data flows can be added to optimize it. Expensive tool.

To manage a large amount of data, backend work and ETL/SQL data flows can be added to optimize it. Cost-effective tool.

 

Domo Datatypes:

Domo Datatypes are distinguished into two types;

  • Common data type: Under this type, there are four data types added such as,

o   LONG

o   DOUBLE

o   STRING

o   DATE and TIME

  • Different data types: Under this data type, two types added such as,

o   BINARY

o   DECIMAL

Let me explain one by one;

LONG: This datatype stores numbers as a numeric value, including integers, floating-point, and whole numbers.

DOUBLE: this data type stores double-decision floating point number value.

STRING: String in Domo stores alphanumeric characters as a text.

DATE: store the values like the year, month, and day value.

TIME: This data type stores hour, minute, and second values.

BINARY: This store addition, subtraction, multiplication, and division values.

DECIMAL: This datatype stores the value ranges from 0 to 1.

Domo Functions:

Domo supports many types of functions to perform specific tasks. The following are the main functions used in Domo;

o   APPROXIMATE COUNT (DISTINCT) -> Returns the approximate count of several unique values in the column.

o   AVG -> Returns the average value for each series in a column.

o   CEILING -> Returns the highest value for each series in a column.

o   COUNT -> Returns the number of row values in a column.

o   FLOOR -> Returns the lowest value for each series in a numeric column.

o   ABS -> Returns the absolute value for all values in a numeric column.

o   MOD -> Returns the reminder of each value in a numeric column divided by some specified number.

o   POWER-> Returns each value in a numeric column raised to a given power.

o   RAND-> Returns random values between 0 and 1.

o   ROUND -> Returns the values in a numeric column rounded to the nearest specified decimal place.

o   CASE-> use to begin logical statements such as when…. Then or when… then, else.

o   IFNULL -> Used in logical statements in which you want to specify a replacement for null values.

o   NULLIF -> Returns the null if the value in the first column equals the value in the second column; otherwise it returns the first column if this condition is not satisfied.

o   CONCAT -> Combines strings from two or more string columns.

o   INSTR -> Returns the positon of first string instances, mostly starting from the first letter in any given columns.

o   LEFT -> Returns the specified number of characters in each string in the given column, starting from the left.

o   LENGTH -> Returns the number of characters in each string in the given column.

o   LOWER -> Converts strings from one or more string columns into lower-case.

o   ADD DATE -> adds date or date-time values to date values in a date column.

o   ADDTIME -> adds a specified number of seconds to all values in a time column.

o   CURDATE -> returns the current date.

o   CURTIME -> returns the current time.

o   HOUR -> returns the hour for all values in a date/time column.

o   MONTH -> returns the month number.

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DOMO Features and capabilities:

  • The following are the feature summary of DOMO platform;
  • This platform supports business cloud operations and helps you to connect all your existing business data/ applications.
  • This also helps users to integrate all the existing business data
  • Domo platform available in the form apps that are designed by third-party app developers
  • Social media communications and messaging features also added
  • You can operate this Domo from anywhere by using your mobile phone.

Domo Features and Capabilities in-depth:

Holds multiple connecting sources:

  • Data transformation: The Domo platform has an option to combine multiple data that are available from multiple sources. Before it was difficult to transform business data due to the usage of codes. Now recent upgrade has come up with an advanced feature to helps non-technical background people can also access this tool.
  • The Domo platform holds a large number of dashboards and connectors, which helps to connect the multiple business data available from multiple sources. This Domo tool contains more than 40 one-click connectivity apps and 300-500 total connectors.
  • Data Visualization:Domo card builder helps to create meaningful data insights and visualizations. Navigation is as follows: Choose the chart types -> array -> card builder to visualize your business data. The Domo will automatically highlight the key along with important figures.

Domo Platform in detail:

Domo is a fully cloud-based business intelligence tool. This is one of the most demanding software tools when compare to tableau because of its enormous advantages, features, and capabilities. The main purpose of using Domo is to provide data visualizations, analysis, and data integration for all the business data.

Domo enables us to give a 360-degree view of your business and it enables you to access data and also visible to everyone in the company. You can convert the data into actionable steps. The existing integration features are available which makes it easy to combine our daily data routines. The Domo platform also provides a web-based hub for your data and helps us to visualize where the team focuses to interact with their data. One of the main things Domo provides is the -ETL tool. So this makes users integrate, extract, transform, and loading of multiple business data. Easy to use the platform as it doesn’t require any coding experience and also offers API interfaces to build customized user queries. Data analysis with Domo is very easy to do and understandable tool available in the most recent years. Effective Communication on a social media platform and affordable tool. Up to 5 users can access Domo freemium and for any advanced usage, we need to go with Domo premium subscriptions.

Lastly but very important Domo is available in the form of Apps, easy to install from app stores and you can access it from anywhere with the help of Mobile phones.

Top 30 Real Time Domo Interview Quuestions & Answers for 2020

Creating Domo stories

The main purpose of Domo stories is to design customizes story pages and enables them to work smoothly across the device. Domo stories are available in the form of layout or chart they have been optimized for web services, mobile devices, tablets, or IPods.

Converting standard pages to a Domo software page is as follows:

Steps:

1) Choose the Design Dashboard -> from the settings menu -> located in the top right corner of the page.

2) Then now click the design dashboard button

If this Domo design page contains any collections, all these collections become Domo stories pages automatically. If the page doesn’t contain any collections that will be added into the Appendix section.

3) If you are happy with this Domo stories layout -> click Save -> then close it.

Converting a Domo stories page back to a standard page:

To converts, a Domo stories page back to the standard page, either you should be an owner or Admin.

Steps:

1) Now select the Convert to standard page button -> from the setting menu -> located in the top right corner of the page.

2) Choose -> convert page-> confirm.

If any page contains Domo stories, all these Domo stories will be converted into collections.

Adding Domo stories/ layout components:

  • Add your new domo card layouts on the base of the Domo stories template.
  • Now you need to drag and drop KPI domo cards into the layout slots.
  • Now crop the template and cards to make them in the correct shape or size.
  • You can also swap domo cards by dragging one card after the other.
  • You can also add headers to your domo stories.
  • If you want you can drag or drop layout and headers on the domo page.
  • You can also remove/delete the layouts or headers as per your requirements.
  • You can also add borders and images to the domo page.
  • You can change the background color of your domo page/domo card.

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Adding a new domo stories pages:

Steps:

1) Click on the ‘+’ in the top right corner of the domo screen.

2) Choose a new story to add.

3) Now enter the name for the new stories page.

Adding a Domo stories layout into the page:

Steps:

1) Go to the Domo page -> to add a domo stories layout -> choose to edit the dashboard button -> in the settings menu.

2) Now just click and drag the icon -> located in the right corner of the page.

You can see that by dragging the layout icon located in the corner, this highlights the layout page.

3) Now by using the filter option to see the location of the desired template.

4) Once you locate the template -> now just click on it.

Adding headers:

Steps:

1) Select the page, to add header text to any page->click on the edit dashboard -> from the setting menu

2) Click the page and drag the icon toolbar to add the header page.

Advantages of using Domo tool:

There are lots of advanced features and tools that make Domo as one of the demanding cloud-based business intelligence tools. Let’s get into know the advantages of Domo tool.

Scalability:

Domo tool enables users to store the billions of data rows, and also help to connect multiple data sources. Domo delivers effective and safe business services across the world.

Architecture design:

Domo architecture has made up of millions of connectors and dashboards. These connectors and dashboards help the business team to increase the operational performances.

Very secured to use:

Domo tool offers the most secure and authorized data usage. So there is less chance of data leakage kind of issues.

Cost-effective:

Domo is a cost-effective, affordable, and easy-to-maintain tool with different capabilities. It also allows you to take a free trial for basic purposes. 

Conclusion

Domo is one of the effective and commonly used cloud-based business intelligence tools. Domo features and capabilities tend to use them in many applications like web services, mobile devices, and social media platforms for better communications and performance. This article covers the topics, this may help beginners to know as well as learn the tool in a more effective way. I think this article may help a few of the business intelligence developers and also for the domo community forums.

Other related articles:

1. Domo Interview Questions



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Looker Data Actions – Table of Content

What is Looker?

Looker is an enterprise for BI- Business Intelligence tool, embedded analytics, and a data application platform. Looker became a part of google cloud in 2020, and from then, Looker provides users to create and share insightful visualisations of the data. It is a web-based or on-premise tool. It collects, visualises, and analyses data, but starting with Looker requires heavy effort as we have to format and model data in a particular way with LookML; it can not process data and create reports independently. Google cloud’s & Looker data analytics platform will provide options to deliver value with robust and new insights.

What are Looker Data Actions?

Looker actions is a data activation tool that analyses data in real-time, and data activation is a method to turn insights into actions. With Looker API calls, users can perform tasks in other tools, and LookML triggers an API call in a particular field. Data activation is generally done by picking up clean and modifying data from the data house and sending it back to business teams like marketing or sales.

Looker actions mainly focus on sending data back to business users, and they get real-time data and act accordingly. Looker tools support work within other tools too. Tools like slack, updating values, warning team members in tools, sending emails, and automating them are the popular ones that are used.

Why Data Actions?

Looker data actions helps in achieving the following things for an ease.They are:

  • One can easily update salesforce records form a single page.
  • You can easily manage the support tickets.
  • You can easily tag an dpritoize the github issues.
  • You can easily monitor the adword spend.
  • Enable the trigger tailored emails on command.

Looker takes an advanced approach to analytics, making it simple to build dependable data applications that enable any user to explore, analyze, and comprehend the data they require.

Data Actions, which are based on our extensive APIs, allow users to perform tasks across nearly any other application from a single Looker interface. Stop forcing your team to switch between tabs and tools to complete routine tasks.

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  • 24/7 online expert support
  • Real-world & Project Based Learning

Looker Data Actions:

Using Looker’s standard tools, you can move through your workflow quickly. Looker Actions enables us to create and act on your data. From interacting with your users to revamping records in any of the application domains you use, you can do it all.

Here is the list of looker data actions. They are:

Slack:

Notify your team of changes in activity directly from Slack.By directly injecting data into conversations, you can directly answer important questions.Custom commands that query Looker directly through Slack can be distributed to the rest of your company.

Segment

Looker email cohorts can be easily managed by sending lists to Marketo, Hubspot, Airship, and other services.With the click of a button, you can activate win-back and upsell campaigns.

Twilio:

Ad-hoc sends allow you to quickly send a text message to any phone number in your database from Looker. It doesn’t matter if you’re sharing your knowledge by sending data or simply creating a custom message on the fly.Schedule text messages – sharing insights with customers is an effective way to build relationships. Schedule data delivery to those who require it the most at your preferred interval. Use the Twilio Action to set up text alerts to easily notify customers when something happens, such as a delay in an order or an outage on their instance.

Get ahead in your career by learning looker course through hkrtrainings Looker Training in Noida !

Zapier:

With the Tray Action, users will be able to seamlessly integrate Looker queries into their daily workflows. Upload data to a cloud storage solution, distribute reports via an email list for the team, or even send reports to customers. Use this Action for a variety of scenarios with Zapier’s extensive integration list, the sky’s the limit.

Salesforce:

As you progress through the sales cycle, update the contract value of each new deal.

Twilio:

Use Twilio to send promotions, customer satisfaction surveys, and other notifications to customers.

Exavault:

Schedule the SFTP delivery of Looker dashboards, visualizations, or data to ExaVault. Avoid email size restrictions and ensure that your Looker data reaches the people and systems that need to process and analyze it. The following are some examples of use cases for this Action:

  • Sending daily sales and inventory automatically
  • Reports are automatically sent to colleagues and partners.
  • Schedule data collection to ExaVault.

Amazon Sagemaker:

Using machine learning algorithms on Looker data, use Amazon Sagemaker to predict, forecast, or classify data points.This Action allows you to send the results of a Looker query to XGBoost or Linear Learner to train a model for regression or classification, or to perform predictions on the results of a Looker query using a previously trained model. The Action is made up of three parts:

  • Amazon Sagemaker Train: XGBoost – uses the output of a Looker query to train an ML model with the XGBoost algorithm for regression, binary, or multiclass classification.
  • Amazon Sagemaker Train: Linear Learner – uses the output of a Looker query to train an ML model with the Linear Learner algorithm for regression, binary, or multiclass classification.
  • Amazon Sagemaker Infer : operates a batch inference job against the output of a Looker query using an existing Sagemaker ML model for target prediction.

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SendGrid:

  • Ad-hoc sends allow you to quickly send an email from Looker to any email address in your database. Whether it’s sharing your knowledge by sending data or simply creating a custom message on the fly.
  • Schedule emails – sharing insights with customers is an effective way to build relationships. Deliver scheduled data to those who need it the most at the interval you specify.
  • Email alerts – using the SendGrid Action to easily notify customers when something happens, whether it’s a delay in an order or an outage on their instance.

High touch :

Reverse ETL has features lacking in Looker Actions and reduces the barrier between them. High touch is one of the alternatives to Data Actions, and reverse ETL copy’s data from analytics platforms or data warehouses to operational systems of record. Hightouch clears the problem by leveraging Reverse ETL, which transforms data from the data warehouse and synchronises it back to the native tools of businesses like Marketo, amplitude, Hubspot, iterable, salesforce, Google sheets, etc.

With hightouch, users can map attributes like purchases and emails to any field. It saves money and time by synchronising data at specific locations and ensures that no duplicate data is present. In Looker Actions, there is a limit on updating end tools, but in Hightouch, we are free to update any field and can send data in batches, unlike in looker Actions. High touch directly integrates with LookML and Looker, and it benefits companies to connect directly with Looker and view their reports.

Auger.AI:

This Action also reduces the workload of each data scientist because anyone in a company can run and deploy a predictive model with a few clicks. To create an accurate predictive model, use this Action with any labeled dataset, such as:

  • Forecast inventory to better balance supply and demand Predict equipment failures to perform preventative maintenance
  • Estimate headcount and employee turnover, as well as customer churn.
  • Determine the credit risk of customers for loans and financial transactions.

If you want to Explore more about Looker? then read our updated article – Looker Tutorial

DataRobot:

This Action also reduces the workload of each data scientist because anyone in an organization can run and deploy a predictive model with a few clicks. Utilize this Action to:

  • Determine which customers are likely to be repeat buyers.
  • Learn what user characteristics make certain account profiles a churn risk.
  • Investigate which factors, such as region and age, lead to higher sales.

Airtable

Looker Airtable Action transfers data from Looker to your Airtable spreadsheets. Using this Action, you can create and update Airtable spreadsheets for a variety of purposes, including:

  • Developing and maintaining lists of customer segments.
  • Every order and its details should be listed on your eCommerce site on a daily basis.
  • Keeping track of any backend infrastructure issues as they arise.
  • Keeping a list of customers who have been affected by high-severity issues.

 What are the problems with Looker Data Actions?

Looker’s premium features created a revolution in Business Intelligence tools and have provided many solutions in BI. Every software has its drawbacks, and Looker is not exceptional, but its advantages make it one of the best tools in BI and have a strong premise.

Large data volumes can not be handled upto the mark by Looker Actions. Data differencing or diffing will not take place in Looker Actions. Diffing is a method used to check if there are any changes in data before sending it to another system or application. Looker’s Data modelling, unique coding language (Look ML), and data matching capabilities are constrained to use. Companies have to duplicate their data into LookML, and companies with native tools or current data models cannot transform their data.

Many companies rely on SQL to modify their data. LookML is partially built on SQL, and users are needed to learn an entirely new language. It is expensive and time-consuming for businesses that are not yet using Looker. There are also some effective and easy tools to transform data ex. DBT, which is fully developed on SQL and automatically updates models. Developers and engineers can quickly transform, orchestrate and model their data.

Developers and engineers can use it to orchestrate, transform, and model their dataLooker Actions lack batching capacity for many destinations. Looker Action will send all the records irrespective of their duplicates. If a massive amount of data is to transform, it may fail because of the rate limit issue.

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Conclusion

In the above blog post all the looker data actions are explained, you can select your interested action to perform  the business operations. Had any doubts, please drop your queries in the comments section, our experts will get back to you shortly.

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