How Retailers Use Domo
Understand Buying Habits
Domo helps retailers analyze customer browsing data by providing a platform that seamlessly combines shopping data across channels, offering a complete view of customers' buying habits and preferences.
Store Performance Data
Domo can be used to analyze sales, profitability, order management, and customer satisfaction data for all stores, enabling retailers to monitor and optimize store performance.
Margin Erosion Data
Retailers can analyze margin impact data, including markdown percentage and sales performance, to identify areas where margin erosion may be occurring and take corrective actions.
Domo is used by retailers for various purposes, including customer service and call center analysis, retail sales analysis, sales and customer experience & churn analysis, market share analysis, automotive dealer performance analysis, and supply chain analysis.
In-store Analytics
By leveraging Domo, retailers can put powerful, easy-to-understand analytics into the hands of store employees, allowing them to make smarter decisions right at the shelf, with the customer, or in the back office. This real-time data analysis capability helps retailers move unsold products quickly without compromising profits, minimize margin erosion across different store formats, product categories, and locations, and optimize operations based on valuable insights obtained from customer browsing data
Supply Chain Data
Domo allows retailers to view and check inventory levels, gain insights into product availability, explore alternative sources of replenishment, and analyze sales information to optimize supply chain operations.
Market Share Data
Retailers can use Domo to analyze market size and market share data to understand their position in the market and make strategic decisions to improve market share.
Customer Personalization
Domo's AI and machine learning tools can help retailers analyze consumer browsing data to understand customer behavior, preferences, and buying habits across different channels. This information can be used to create marketing campaigns to drive sales.
Cross-Industry Data
Domo can be used to analyze finance data, SAP procurement data, workforce management data, and world weather data, offering a comprehensive view of various aspects impacting retail operations.
Consumer Goods Data
Domo enables the analysis of sales, margin, and budget data from consumer goods companies, providing insights into sales performance and profitability.
Software
Cloud Analyticss
Domo provides a cloud analytics platform that enables data-driven transformation and enhances digital maturity. This platform offers features such as self-service visualization, interactive dashboards, mobile analytics, embedded analytics, and connectors for various data sources like SaaS, JSON, databases, APIs, and more.
Low-Code Data Apps
Domo provides a low-code data apps framework that allows users to create custom web applications for specific business needs. This framework enables the development of scalable and tailored solutions without extensive coding requirements.
Data Integration
Domo's data integration platform, part of the Domo Business Cloud®, is a modern BI low-code data app platform that provides data connectors, data transformation, visualization tools, and capabilities to combine data and manage business process automation and data-to-decision workflows.
Operational Analytics
Domo supports operationalizing analytics by integrating data science and AI tools like R, Python, and Jupyter Notebooks. This functionality enables organizations to automate business processes, improve decision-making, and enhance operational efficiency.
Data Governance
Domo offers features for data governance, including managing, cataloging, viewing lineage, logging, and access permissions. These tools help organizations maintain data integrity, security, and compliance. It also supports data science and AI tools like R, Python, and Jupyter Notebooks for operationalizing analytics
Data Visualization
Domo's platform offers powerful data visualization capabilities, including real-time dashboards, interactive reports, forecasting tools, scheduling features, invoice automation, and forms. These tools help users create compelling visualizations and reports to communicate insights effectively.
Self-Service Business Intelligence
Put data to work and help everyone multiply their impact.
Other Industries
Airlines
Domo helps airlines use their data to provide better insights into customer behavior. Qlik helps airline increase website visits, predict and reduce sold-out flights, as well as great powerful revenue forecasting that allow better pricing prediction. Qlik is a BI powerhouse and it'll make data work for you.
Casino
Domo provides casino analysts with the unique ability to easily discover, prep, blend and analyze all of their data using a repeatable workflow, which can be deployed and shared at scale for deeper insights, insights that come within hours, not weeks.
Hotels
Hotel analysts can utilize the Qlik platform in a multitude of ways, including connecting to and cleansing data from their data warehouses, sending and receiving data sets from cloud applications, as well as gleaning information from spreadsheets or a whole host of other sources.
Oil & Gas
Leverage predictive analytics to anticipate outages, determine the root cause of failures, and minimize downtime. Compare actual vs. estimated costs at the well level and calculate other key performance metrics aligned to capital investment to better understand drilling and completions.
Retailers
Domo lets retail analysts leverage Big Data from a variety of sources and move them from their traditional spreadsheet limitations into a simple drag-and-drop canvas that performs powerful analyses in minutes. Domo puts the power of supply chain analytics directly into the hands of the retail analysts, allowing a new level of forecasting and inventory planning.
Sportsbooks
Sportsbook analysts can utilize the Domo platform in a multitude of ways, including connecting to and cleansing data from their data warehouses, sending and receiving data sets from cloud applications, as well as gleaning information from spreadsheets or a whole host of other sources.