Traveloka, a leading online travel portal in Southeast Asia, operates in a highly dynamic and competitive space. Any disruptions to the platform, even for a few minutes, could result in significant revenue loss. The company needed a tool that could provide real-time alerts for any disruptions, enabling quick rectification. Additionally, Traveloka required a self-service solution due to the high volume of employees needing access to data. The company was looking for a solution that could avoid creating a bottleneck for information and allow employees to serve themselves.

DHL Global Forwarding’s Temperature Management Solutions group provides temperature controlled logistics for the pharmaceutical and biotech industries. Temperature is critical in shipping because certain pharmaceutical and biological goods can lose their efficacy if they do not stay within the required temperature range. This can have devastating consequences for someone who is relying on that medicine. The group needed a robust analytics tool that could work seamlessly with DHL’s proprietary IT system ‘LifeTrack’ to provide visibility into millions of data points captured throughout the shipping process. The existing system alone had limitations on the number of tables and data sources that could be combined.

audibene, a rapidly growing hearing care company, was struggling with the volume of data generated by their online tools. They needed a way to effectively track, visualize, and act on their marketing and sales data. Despite using Tableau as their central business intelligence platform, data was still being used and stored in silos across the business via Excel sheets and third-party tools like Salesforce. These third-party solutions lacked the structure and functionality to easily analyze data, leading to low adoption rates across the business. The siloed data also led to longer and more complex decision-making processes. audibene wanted to bring data to the masses and provide greater transparency across departments, but they needed a platform that could help drive adoption rates and self-service usage.

The NBA, a global media company, needed to accurately estimate the viewership for every single game to make key decisions, including which games are broadcast on which networks and which games receive advanced promotion. The manual process of comparing historical data from Nielsen’s TV ratings was labor-intensive and not as accurate as needed. The NBA needed more data, and more speed and agility to put it together, so they could gain insights that would help the NBA succeed in an increasingly competitive media landscape.

Weitz & Luxenberg, a legal services firm, was in need of a business intelligence solution that could deliver more than just data. They needed a solution that could easily fix and connect data, provide self-service for users, offer an easy-to-use interface, integrate data sources without limitations, and turn data into actionable insights. They were looking for a solution that could help them make data-driven decisions, identify bottlenecks, and determine the most effective means of customer acquisition. They also faced challenges with disparate systems and ineffective communication with partner law firms.

Goodwill Industries of Central Indiana, one of the largest branches in the nation, was struggling with managing vast amounts of data ranging from employment to eCommerce. The data was scattered and difficult to access, which made it challenging for the organization to make informed decisions. Valuable resources were tied up in manually creating reports, which was a time-consuming and inefficient process. Furthermore, executives had limited visibility into key metrics such as job placements, which hindered strategic planning and decision-making.

International Data Group (IDG) had a problem with their reporting process. Their clients were demanding more detailed reports than what they were currently providing. The process of delivering these reports was labor-intensive and inefficient. IDG needed a solution that could automate their reporting process and provide real-time, detailed analytics to their clients. They also wanted a solution that could be used by anyone in the organization, not just the analytics team.

Grünenthal, a global leader in pain management, was struggling to understand its customers due to patient privacy regulations. The company lacked customer data, making it difficult to know what customers thought about its products and marketing strategies. This lack of data led to a culture where decisions were made based on gut feelings rather than concrete data. Grünenthal needed a solution that would allow it to overcome its data challenges and change its culture.

Randstad Sourceright, a global talent leader, was facing the challenge of connecting multiple systems across multiple customers and geographies into real-time and accurate data. The company was operating as a reactive and backward-looking metrics company. The lack of real-time data made it difficult for the company to foresee any issues that might affect meeting a customer deadline. This lack of predictive insights was affecting their ability to meet or exceed customer expectations.

Christopherson Business Travel, a travel management company, was facing a challenge with its proprietary business travel software, AirPortal®. With millions of transactions flowing through its systems at any given moment, the company wanted a way to aggregate the data in a real-time dashboard. This would provide clients and internal employees better insights into how they are spending their travel budgets. The company needed to bring together data from multiple sources and inputs and was looking to consolidate the business reporting structure.

Before the implementation of Domo, Boyne Resorts faced challenges in accurately tracking the state of the business due to data silos and outdated spreadsheets. The company's understanding of the business was largely based on gut feelings, and by the time reports made their way up to the owner, they were often several months out of date. This lack of real-time data made it difficult for the company to be proactive in its decision-making, often resulting in reactive measures that were not as effective.

NRL Mortgage, a company with 80 branches licensed in 48 states, was previously using a BI tool designed specifically for the mortgage industry. While this tool was effective for Loan Origination System (LOS) use cases, it was not capable of leveraging data from other systems such as the general ledger, payroll, or CRM. This limitation prevented NRL Mortgage from making fully informed business decisions. Additionally, the company struggled to accurately track which lead sources generated a positive ROI, making it difficult to know where to invest its marketing time and budget. The company also faced challenges in tracking loan officer performance and managing its headcount effectively.

Danaher, a global science and technology innovator, was in need of a solution that could provide a clear return on investment and pull their multiple sources of data into meaningful insight. The company needed a cloud-based data management system to pull data from more than 200 operating companies and put it into one centralized location. The data needed to be visually appealing and accessible to everyone. The challenge was to find a tool that could efficiently pull data from various systems into the cloud, bind it together, and provide access to meaningful insights.

Univision, the largest Spanish language broadcast television network in America, was facing a significant challenge in gaining real-time revenue insights to make informed business decisions and optimize revenue yield. The company needed granular insights into revenue, impressions, and cost per impression. However, they had no visibility into data by device, by platform, or by partner. This lack of data visibility was hindering their ability to make strategic decisions and optimize their programmatic advertising efforts.

Emerson’s Cold Chain business helps businesses ranging from dairies to convenience stores to pharmaceutical manufacturers to not only keep their perishable products at the perfect temperature, but ensure those products stay at that temperature as they travel throughout the supply chain. Real-time traceability throughout the global perishable supply chain keeps your ice cream solid, your food safe, and critical vaccines viable as they make their way from the lab to the pharmacy. Emerson relies on Domo to capture the data its technology creates to ensure its products operate at peak performance. In addition, Domo Everywhere lets Emerson share this data back to customers so that they can track and verify temperatures across the supply chain for themselves. Dashboards turn the raw data into easily understandable insights that customers can use to make decisions.

Harcourts International, a leading real estate agency, was facing a challenge in understanding what impacts each franchisee’s profitability. The franchises were siloed off from each other, which made it difficult for the operations team to gather data, compare franchisees across markets, and share best practices. The lack of a centralized system for data collection and analysis was hindering the company's ability to make informed decisions and improve franchisee profitability.

In 2020, Traveloka’s business was significantly impacted by the COVID-19 pandemic. The company, which provides a wide range of travel and lifestyle services, faced a dramatic drop in new bookings due to pandemic restrictions, border closures, and a significant decrease in flights. However, despite the decrease in new bookings, the company's workload did not slow down. Instead, the team was busier than ever providing customer support as travelers tried to cancel trips, get refunds, or reschedule trips. The company faced a significant spike in customer support volume, which it needed to manage effectively.

Driva, an Australian car financing platform, was struggling with managing and leveraging its data as the company expanded into new product lines and markets. They were collecting data through various sources such as consumer application info, their CRM system, Google Analytics, and their product-based analytics software. However, it became too difficult to reconcile data across different sources or create reports using multiple data sources. They needed a solution that could bring all its business data together into a single source of truth.

GE Healthcare, a leading healthcare company, was facing challenges with its existing BI tools. The company had several BI tools within finance, but no single solution supported a self-service model that allowed business users to easily create visualizations, share data, and support transactional level commentary. The existing system was causing internal frustration and required a high dependency on the technology team. Dashboards could take months to build, slowing down the decision-making process. The company needed a solution that could quickly share data and reports on a global scale for mass consumption.

North American Properties, a real estate company, was facing challenges in managing its expansive portfolio and planning future projects due to the lack of a unified data system. The company was using its data primarily for reporting purposes, which only provided insights into past performance and did not allow for future projections. The company's properties were using disconnected ERP systems and other siloed data sources, making it difficult to consolidate and analyze data. To address this, North American Properties created a new business intelligence team tasked with leveraging the company’s data across projects and making it actionable.

Penola Catholic College, a co-educational secondary school in Melbourne, Australia, serves a diverse student population of approximately 1,500 students. The school's educators struggled to leverage all the student data at their disposal due to the data being scattered across multiple locations. This made it difficult and time-consuming for educators to collect and synthesize the data in a way that could produce meaningful insights. Without the ability to visualize data and put it in context, educators couldn’t quickly determine which step to take next, which meant at-risk students would fall further behind before they got the help they needed.

Turo, the world's largest peer-to-peer car-sharing marketplace, was facing challenges in making sense of their vast amount of data. The manual reporting process was tedious and slow, hindering the company's ability to make quick, data-driven decisions. Furthermore, the information wasn't delivered in real time, which further delayed the decision-making process. The company needed a solution that could automate their reporting process and provide real-time insights.

eBay, a giant in online retail, was struggling with managing its vast amount of merchant data. The sales and marketing operations team found it extremely challenging to combine multiple data sources. The team was spending days building weekly reports in Excel, which were outdated by the time they reached their destination. The lack of a unified and updated view of their data was hindering their ability to make timely and informed decisions.

7-Eleven Vietnam was operating on multiple discrete retail-specific systems, which made it difficult to streamline operations for long-term growth. The company needed a singular, centralized data platform to gain greater visibility and more rigorous reporting in its data management. The company wanted to link different datasets within a single overarching window into all its data, visualize all data for more intuitive and prompt decision-making, and boost end-to-end efficiencies from logistics to points-of-sale.

OVO, an Australian telco and media broadcaster, faced a significant challenge in consolidating and interpreting metrics from its two distinct industries. The company lacked a centralized reporting platform that could present these metrics side-by-side and provide meaningful insights. Their previous solution was too basic for their requirements, failing to provide the comprehensive and integrated view they needed to drive business growth. The leadership at OVO recognized the need for a more advanced solution that could consolidate organizational metrics and align reporting in a clear, coherent, and accurate manner.

Goodlife Health Clubs, a part of the Fitness and Lifestyle Group, was facing a significant challenge in managing and utilizing its vast data resources. The company had 1.4 billion rows of data sitting virtually stagnant in a physical data warehouse. Reprocessing the queue of the data warehouse took between four to six hours, which was a significant drain on resources and time. Additionally, to access data, employees had to connect to the company server via VPN, which limited decision making across the organization. The company needed a solution that could sculpt to their business needs across marketing, operations, finance, and information technology pillars to reveal historical and current business trends.

Swire Coca-Cola, one of the largest independent bottlers and distributors of Coca-Cola products, was facing challenges with its existing solutions for analyzing business data and reporting. The solutions were complex, time-consuming, and not designed for real business people. Moreover, by the time data was delivered, it was stagnant and out of date, which meant that managers didn't have the best information against which they could make decisions. The company's executives knew that Swire's proprietary data could be an incredible asset to enhance the value that the company delivered to its employees, customers, and communities, and thus, they led an initiative to find a better solution.

Propel Insurance, a company providing specific insurance solutions for businesses across several industries, was falling behind in terms of technology. The company's internal business reporting system was complex and industry-specific, making it difficult to find an alternative solution. The technology was also cumbersome, making changes a challenging task. The combination of needing a strong understanding of the data and having to deal with bad tools meant that Propel was not prepared to tackle this issue in the first few years.

Harmons, a family-owned and operated supermarket chain with 19 locations throughout Utah, faced a significant challenge during the COVID-19 pandemic. The sudden increase in demand for certain products, coupled with supplier shortages, made it difficult to keep shelves stocked. The situation was exacerbated when local celebrity and Utah Jazz star Rudy Gobert tested positive for COVID-19, raising awareness about the seriousness of the virus and leading to a surge in sales. Harmons needed a way to quickly identify the top-selling items and adjust their orders accordingly.

Before Domo, the national support centre team at Forty Winks struggled to collect data from its franchisee stores. Some stores used one of two point of sale systems, while others would send in performance data via Excel spreadsheets. Some of their stores are still on manual systems, which required them to fax in data. The eCommerce platform had no reporting capabilities, which meant someone would have to manually total the sales from the order screen. Every week, the operations team would have to collect sales data from 100+ stores and manually input it into a series of spreadsheets. While unwieldy, the byzantine system worked, however, Panagiotou was faced with a choice - keep struggling to do things the old way, or modernize the process.