X

Freddy’s Frozen Custard & Steakburgers® has grown from a single location in the heart of the Midwest to nearly 400 locations across the US. The company has a modern approach to data science. However, when Freddy’s first began its data science journey, it struggled with a lack of technology and perspective. After a failed pilot engagement, Freddy’s needed a different partner and a different approach to sell the initiative to its leadership team. The company had to deal with 18 different data sets spanning over 100 different columns of information created for each of the Freddy’s locations at multiple points in time. With so many individual columns of data to consider, store quality was difficult to understand and assess.

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.

ESPN, a global leader in multimedia sports entertainment, was facing several challenges in delivering quality service to its fans. The company needed a way to quickly aggregate customer comments to spot emerging issues with access to ESPN and identify which services were affected before it caused subscriber churn. With a large and growing set of content distribution partners, ESPN wanted to partner more closely with them and use data to engage them on improving service quality levels. Additionally, ESPN wanted to increase convenience for fans by adding additional web, phone, text-based support channels. However, a lack of visibility into existing activity was holding back these new implementations.

Dr. Consulta, a healthcare clinic startup in Brazil, was founded to provide high-quality, low-cost healthcare to Brazilians who often lack access to timely, quality care from their public healthcare providers. However, the company faced challenges in improving the speed and quality of its care due to a spreadsheet-driven process that created a delay in collecting and sharing information. The process of downloading patient satisfaction information, building a spreadsheet, sending it to each medical center for analysis, and waiting for the analysis to come back for a final report would take about 30 days. This delay in data processing and analysis hindered the company's ability to act on critical information like patient satisfaction scores instantly.

The Positive Group, a financial services company, was facing challenges due to the lack of a centralized data platform. The company was generating data from more than 10 major sources, but had no way to collect, analyze, and access this data in a centralized manner. This lack of data transparency between their headquarters in Adelaide and their branch in Manila made it difficult for leaders to obtain the information they needed to track and streamline interaction between their platform and those of their partnering lenders and financiers.

Genpact, a global professional services firm, was looking to bring automation and digital technologies into their marketing function. They needed a reporting tool that could enable real-time, data-driven insights powered by data from all channels and tools. The challenge was to find a platform that could connect disparate data sets and provide a user-friendly experience. The goal was to have accurate data at their fingertips so they could determine the right insight for the right audience, all in real-time.

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.

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.

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.

Unilever, a multinational consumer product goods company, launched the United for America initiative in the US to support communities devastated by COVID-19. The initiative involved a National Day of Service in May of 2020 and 2021, where Unilever’s employees and 170 corporate partners worked together to support the communities with more than $25 million in goods and services donated. However, the challenge was not finding employees willing to volunteer; the challenge was in coordinating and tracking their efforts. Unilever needed a system to accurately track the campaign impact and coordinate key resources, including volunteers and products.

Before implementing Domo, Walker Edison, a furniture company, was struggling with inventory management. Despite having a strong reputation for quality products, fast shipping, and excellent customer service, the company was frequently out of stock. This was a major concern for their retailer partners. The company attempted to address these issues using spreadsheets, but the task of manually aggregating data from all their disconnected sources quickly became too complex. The company needed a solution that could provide real-time insights into their inventory and supply chain performance.

Odele, a startup in the consumer packaged goods industry, was struggling with managing data using spreadsheets. The process was time-consuming and frustrating, taking up entire days to clean, code, and plug data into spreadsheets. The founders of Odele, coming from a corporate CPG background, understood the importance of data in expanding their brand. They wanted to build a data-driven business from the outset, but the initial struggles with spreadsheets were a significant challenge. They needed a solution that would allow them to make quicker decisions and ensure every dollar spent was being utilized in the best possible way.

In the quick service restaurant chain world, fresh tomatoes, lettuce, potatoes, and other produce represent just a tiny percentage of the cost of a meal, which means there are usually only a couple of people dedicated to managing produce for hundreds or thousands of locations across the country. However, the perishable nature of produce means that roughly 40% of complaints are due to products being used past their best-by date. This results in a lot of challenges for the restaurant chain without the manpower available to solve them. Danaco Solutions helps large quick service restaurant chains overcome that challenge by working as their outsourced produce supply chain experts. Before Domo Everywhere, Danaco struggled to share reporting with its restaurant chain clients. They would end up sending a lot of reports, but there wasn’t a ton of interactivity.

Webata, a company that provides data and insights to optimize digital shelf performance, product presentation, marketing, promotional materials, and more for brands selling through Walmart.com, faced the challenge of sharing real-time data with its clients. The company needed to provide its clients with the ability to make data-driven decisions to improve their Walmart eComm business. The challenge was to create reports and dashboards that are populated with the most current data, allowing clients to self-serve insights without wait or technical knowledge.

MX, a company that helps banks, credit unions, and fintechs grow their business and power their solutions by providing the connectivity, data, and personalization required to power modern financial experiences, was facing a challenge. The company had nearly doubled its headcount within the last two years, with more than 50% of employees having less than a year of tenure. This rapid growth and high turnover rate meant that the people experience organization needed to do everything it could to engage employees. Additionally, the company needed to ensure that the work marketing does at the top level is reflected in the company’s bottom line.

Before Domo, Natio struggled to make use of the limited data it could access. While it received sales data from its top retailers, this data only provided high-level information that left the company blind to the nuances of which products and colors were selling and why. Because data was so difficult to collect and process, it was often stale by the time it was presented to the board, while static documents left company leaders unable to dive deep into the data to get answers.

San Diego Workforce Partnership, one of California’s leading workforce development boards, was struggling with disparate data systems that were difficult to use and integrate. They had to rely on time-consuming manual reporting to manage cases, apply for grants, and meet compliance requirements. This significantly reduced the time left to understand where they could focus their resources for maximum impact. They needed a solution that would allow them to dig deeper into the data and enable the organization’s success.

Compass Agribusiness Management works with investors and farmers to operate high-performing, sustainable farming operations. They needed a better way to store and analyze the operational and financial data they were getting from their dozens of systems to better understand how their farms and business are performing. The data was scattered across multiple locations, making it difficult to draw conclusions and answer investor questions. They needed a solution that could bring all the data together in one place for better decision-making.

In 2018, Dr. Coopwood challenged his organization to transform the health system by digitizing the way they deliver health. By incorporating high-tech, innovative medical services and leveraging data in new ways throughout the organization, Regional One Health wanted to prepare the health system to serve the needs of Memphis for decades to come. However, with nearly 200 years of history and nine locations spread across Shelby County, it’s easy to imagine how many disjointed, siloed systems the hospital had in place.

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.

Ensuring that marketing claims about a product are not misleading or deceptive is a major challenge for this large consumer goods company which must comply with consumer protection laws and industry self-regulatory guidelines. To avoid litigation and the associated costs, marketing claims must be supported by sound factual research results, such as clinical studies and consumer reports. With almost 300,000 new clinical studies registered every year, it is impossible to manually keep track of new evidence related to a specific product. The scientific vocabulary used in such studies differs significantly from the jargon used in marketing claims and the product-relevant scientific information is often not formulated in words, but encapsulated within chemical formulation. This made it impossible to automate the verification process, which remained a long and tedious process involving humanbased tasks of searching, and manually validating evidence documentation.

The leading car manufacturer was dealing with a growing number of requirements (over 150,000) that were described in multiple documents and databases. Thousands of specification sheets existed, each of them containing on average 500 requirements. There was no information about whether a requirement relates to a specific project or to multiple projects, nor an easy way to compare requirements across projects. The requirement engineers had to copy-paste requirements and manually compare them, before using them in new documents. Previous attempts to automate this task had failed, because similar requirements formulated in different ways could not be identified and because requirement texts are often too short to convey a meaning to conventional search engines. The fact that many specification sheets contain complex tables from which requirements must be extracted and that specification sheets do not have a standard structure made it even more difficult for current approaches to solve the problem.

Value Place, an extended stay economy hotel chain, was struggling with its accounts payable (AP) process. The company was manually keying AP invoice information into their MAS 90 accounting system, routing the paper documents to the correct personnel for approval, then physically filing the paperwork. This process was time-consuming and prone to errors, with documents often getting lost or misfiled. The approval and payment process generally took two to three weeks, due to mailing invoices around the country for approval. Value Place planned to migrate its accounting information from a MAS 90 to a MAS 500 system and needed to implement a document management solution that could be completely integrated and rolled out with the new accounting system.

Riegele, a family-owned brewery based in Augsburg, Germany, was facing a challenge of managing a flood of paper documents. The company wanted to reduce the time and effort required for compliant, tamper-free archiving of around 80,000 delivery slips and 12,500 incoming invoices annually. The company was looking for a solution that could offer a good price/performance ratio and ease of use and setup. The solution also needed to seamlessly integrate with their existing SAP ERP system.

KEMWEB, a digital agency, was facing challenges in optimizing its administrative processes. The company's existing system, a mix of a self-developed digital filing system and physical folders, was not meeting the demands of an agile, growing company. The auditing process was particularly problematic. The company was looking for a Document Management System (DMS) that could integrate with existing applications and adapt to the needs of individual departments. A cloud solution was preferred.

Levi Strauss, a global textile company, is undergoing a variety of changes in Germany to meet the demands of their internet and lifestyle savvy customers as well as the requirements of the digital business world. This includes organizational structures that reflect the company's global orientation as well as the introduction of new IT solutions. In 2010, DocuWare was introduced in the OTC department in Frankfurt as part of a pilot project. Over the years, enormous quantities of documents such as shipping slips, invoices and returns had accumulated and needed to be digitally managed in the future. The goal was both to increase processing efficiency and ensure sustainability. After successful implementation, including extensive digitization of old documents, the central European service center in 2015 created a new situation. At this point, the DocuWare installation, which had previously been run locally, was replaced by a cloud solution, to drive further cost savings in the long term.

BACS Banco de Credito y Securitizacion S.A., a leading financial solutions provider for investment companies and capital markets based in Buenos Aires, Argentina, was struggling with inefficient document processes. With only 20 employees responsible for the documentation inventory and filing of more than 50,000 loan documents that came through BACS each month, the company was overwhelmed. The existing workflows were almost entirely manual in nature, leading to frequent loss or misfiling of documents, reporting errors, and limitations. The company found it increasingly difficult to keep track of documents as they were shared and moved between multiple departments. Searching for specific documents and client files was a time-consuming and inefficient process that often left employees frustrated. BACS needed a solution to help them keep up with the demands of their growing company and make it easier to comply with FACTA (Fair and Accurate Credit Transactions Act), which stipulates privacy policies for bank documents and limits the ways consumer information can be shared.

Smithfield Foods, a large pork processing group, was struggling with a highly manual and paper-based accounting process. The company's accounting department received over 12,000 invoices annually, which were compared with open purchase orders or forwarded to the responsible manager for approval. However, the payment process only took place every 14 days, meaning approved invoices often had to be stored again. The final documents were placed in hanging files, while older documents were transferred to an external archive. Over time, the space requirements and manual processes became a burden. Different employees had to access documents – often multiple times – and then had to file them again.

Adam Transporte, a family business based in Germany, specializes in transporting all kinds of vehicles. The company was looking for an ECM software that could seamlessly connect to their specialized email system, David. Most of their suppliers issue invoices in a digital form, with only a few incoming A/P invoices arriving by post. The direct and automated processing of the documents in a digital workflow was therefore of highest priority. When they did a head-to-head comparison, DocuWare‘s solution came out on top in part because of its Connect-to-Mail functionality and Intelligent Indexing Service.

National Crop Insurance Services (NCIS) is an international non-profit organization representing 18 crop insurance companies. They manage data and information, conduct research and analysis, and conduct educational activities on claims adjustment, ethics, policies, and procedures. With a staff of 45, NCIS needed a secure single location where it could store and manage their corporate documents such as internal meeting minutes, information from the federal government, and bulletins it distributes to its members. They also needed a better way to track the different versions of notes as they worked towards making a decision and they needed to be able to easily research when and why a decision was made. The organization also needed to update its document retention policy regarding email in order to free up room on its servers. In general, they saw the benefit of making their processes as paperless as possible.