Domo is a business cloud. It is mobile, cloud based, social, community-driven business intelligence platform with the power to transform the way you manage your business. Domo can help you view data in one place. democratize across your organization, socialize important goals, and create accountability.
How can Domo benefit Business
- All data in single dashboard in real time or right time
- Self Service BI to connect to dataset
- Access the right information at right time
- Manage Performance
- Unlimited Drill down through data layer of a metric
- Monitor, Analyze and manage key activity and process.
- Make better decision faster
- Collaborate with all who need to know
Getting familiar with the Domo specific terminology is crucial in understanding the ins and outs of Domo. Read through the following terms to get the basics.
- Cards are the visual representation of your data
- Pages are where one or multiple cards can be placed for viewing.
- A collection is a level of organization that allows you to group similar cards together on a page
- Beast Mode is a calculated field that you create using SQL which can then be used in your card
- Connectors allow you to connect to a variety of your cloud-based solutions such as Salesforce, Facebook, or Netsuite.
- When you have brought data into Domo, that data is represented as a DataSet.
- Data Flows are powerful tools where you can bring in multiple DataSets and transform or combine them, then output a whole new Data Set.
- Alerts: Create Alerts on your cards or DataSets to be notified when certain conditions are met. With the Alert Center, manage your alerts all in one place. At a glance, see which alerts are triggered, need attention, and even suggested alerts.
- Buzz: Collaborate around your data using Buzz. Create a new conversation with people or groups and communicate in real-time.
- Appstore: The Domo Appstore is the premier destination to find answers to your business questions. Domo customers have access to over 1,000 apps available to download targeting use cases across dozens of industries, departments, roles, and business apps
- Data: As a user with an editor role or above, access and manage all things data-related in the Domo Data Center. Once in the Data Center, you'll see the Data Warehouse, DataSets, DataFlows, and Accounts.
User Profile in Domo
- We can add, change our profile picture
- We can see follow the user, view domo score, view users favorite card, view user member group,
- view users own card, users owned dataset, viewing users view card etc
Domo is designed to be social and collaborative, and it achieves this goal when users can:
- Find and contact each other in Domo
- Assign content to peers and track their progress
- Share content with each other
- Identify owners of content quickly
This can only happen if users fill out their profiles and help fellow users recognize and communicate with them.
Add Profile Picture
Explore Organization Hierarchy
Project and Task in DOMO:
Domo Data Center: Once in the Data Center, you’ll see the Data Warehouse, DataSets, DataFlows, and Accounts.
When you need to run multiple actions on your data and don't want to have to go through DataSets or DataFlows one by one, use the Bulk actions in the DataCenter. When you hover over a DataSet
Easily manage the Beast Modes in your Domo instance all in one place.
The Advanced Tools Launch Center allows you to explore all the data tools Domo has to offer in one convenient place. From connecting and transforming your data to managing your Domo instance,
What is Data?
data is a collection of discrete values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted.
Types of Data:
Number, Text, Datetimes, Date, Boolean
Data is measure in two form:
Quantitative:
Numerical data: revenue, price, height, age, score
Qualitative:
Categorical: name, color, job title
Missing Data?
Imagine you have a table containing company sales data but some cells are missing values. Cells with missing values are considered null. Keep in mind, however, null does not equal zero and null does not equal null.
Relational Data
As we mentioned in our null example, Data is stored in tables consisting of rows and columns.
Fact Table vs. Dimension Table
Data are often presented in multiple tables rather than a single table with all the associated information.
Cardinality
Often, data from multiple tables will need to be compared or combined to answer a particular business question. Cardinality describes the nature of the relationships between records in separate tables.
Types of Cardinality:
One to Many or Many to One: This is the most common type of cardinality and means one of the tables has unique values per each row while the other one has multiple values.
Many to Many:
Many-to-many cardinality is a relationship between two sets of data where multiple elements in one set can correspond to multiple in the other set.
For example, many patients may see the same doctor. Many doctors may see the same patient.
One to one: One-to-one cardinality is a relationship between two sets where each element of the first set corresponds to exactly one element of the second set, and vice versa. In other words, there is a unique and singular relationship between the two sets.
This cardinality type is normally used to make data more concise or separate dimensions into multiple tables.
Example: One employee assigned to one company car.
Citizen with Unique govt id
Primary key
Foreign key
Join
Append
Granularity
Aggregation: Aggregating allows us to trade detail for a desired granularity (and uniqueness). That’s because, by definition, the columns we group by uniquely define each row in the resulting aggregated dataset