Scrum, Inc., a company that consults and coaches leading companies across the globe, was facing several challenges related to data management. The data was siloed in numerous systems, spreadsheets, and applications, which limited access to critical data. The existing Business Intelligence (BI) solutions were not able to provide the necessary insights that the company needed for its operations.

WhippleHill faced several challenges in their operations. They were unable to view data from multiple systems in one place, which made it difficult to turn raw data into actionable information. Additionally, the process of reporting was cumbersome and time-consuming. This lack of a unified data view and the difficulty in data interpretation hindered their decision-making process and overall efficiency.

Platinum IDS, a pioneer in outsourced litigation support services, was facing several challenges. The company was struggling to manage a variety of data sources, which was affecting its ability to track metrics in real time. This was a significant issue as real-time data is crucial for making informed decisions and driving business growth. Additionally, Platinum IDS was having difficulty disseminating information across the organization. This lack of effective communication was hindering the company's ability to operate efficiently and effectively.

Check Into Cash, a national leader in affordable short-term, small dollar credit solutions, was facing several challenges related to data management and reporting. The company was dealing with an overwhelming number of ad hoc reporting requests. The executives were not receiving reports in a format that was easy to understand and digest. Moreover, it was taking too long for the company to get updates on important metrics. These challenges were hindering the company's ability to make timely and informed decisions.

Litigation Services, a law firm serving several large insurance companies, was facing significant challenges in managing its data. The firm's reporting was static, often resulting in outdated information. Furthermore, the data was not easily accessible to decision-makers, hindering the firm's ability to make informed, timely decisions. The firm needed a solution that would enable it to become truly data-driven, providing real-time insights and facilitating a more proactive, consultative approach with its clients.

BodyLogicMD, a network of highly trained physicians specializing in natural bioidentical hormone replacement therapy, was facing a significant challenge in managing and interpreting their vast amounts of data. The company, which operates more than 40 practices around the United States, was struggling with slow and tedious reporting processes. The other Business Intelligence (BI) solutions they considered appeared outdated and complex, which would not solve their problem of digesting the data effectively. The company needed a solution that could provide immediate access to real-time data in a simple and user-friendly manner.

RelayRides, 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, which hindered the company's ability to make quick, data-driven decisions. The information wasn’t delivered in real time, which further complicated the decision-making process. The company needed a solution that could automate the reporting process and provide real-time insights.

One Click Ventures, a fast-growing network of online brands, faced several challenges in managing their data. Their data was scattered across multiple third-party tools, making it difficult for decision-makers to see the big picture. Their business analysts were spending more time compiling reports than providing valuable analysis. The lack of a centralized location for data made it difficult to diagnose issues quickly and efficiently.

Betable, a fast-paced startup disrupting the world of real-money gaming, was producing more data than it could confidently manage. The CTO was spending over 10 hours a week generating ad hoc reports. Furthermore, executives and other non-engineers were having difficulty making sense of the final reports they received. The company needed a solution that could handle the vast amount of data being produced and present it in a way that was easily understandable for all stakeholders.

CoverHound, an insurance comparison shopping platform, was facing challenges with its data management. The company's important metrics were not available in real time, leading to inefficiencies and delays in decision-making. Employees relied on different reports in different formats, leading to inconsistencies and potential misinterpretations of data. The lack of a unified, real-time data platform was hindering the company's ability to operate efficiently and make informed decisions.

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.

OGIO International, Inc., a company that designs and manufactures bags, backpacks, and travel luggage, was struggling to leverage its sales analytics to capitalize on sales trends. The company was dealing with multiple sets of reporting tools, which made data management a complex task. Additionally, there was no system in place to share data in real-time, which hindered the company's ability to make timely decisions based on current data. Furthermore, the company lacked a user-friendly, drillable format for sharing years of data, making it difficult for different departments to access and utilize the data effectively.

Rhodes Bake-N-Serv, a leading manufacturer of frozen bread and rolls, was facing challenges in its data gathering and sharing process. The executives and plant managers had limited visibility into the operations, and the process of gathering data was slow and manual. The company was using Excel for reporting, which was time-consuming, error-prone, and difficult to maintain. The lack of real-time data also meant that any issues in the manufacturing process would take a long time to be identified and addressed.

Sage North America, a provider of business management software and services, was facing challenges in its data management. The company understood the importance of being data-driven but was limited by the lack of appropriate tools. The process of building and sharing reports across teams was time-consuming. Additionally, the visibility into multiple data platforms needed to be increased. The company was operating in a culture of guesswork and assumptions, which was not conducive to its growth and efficiency.

Telus, a Canadian national telecommunications company, was facing a significant challenge in making informed decisions due to a lack of accessible data. The data they needed was stored in disconnected systems, making it difficult to gather and analyze. The process of disseminating information was time-consuming, and building reports took longer than was efficient. The company was in need of a solution that could consolidate their data and provide real-time information to drive decision-making.

ShareThis, a company specializing in making social data actionable, faced challenges in sharing its own data within the organization. The information was scattered across multiple sources, making it difficult to create narratives around the data. The company was relying on pulling spreadsheets into Excel, combining them, and creating macros. The team was spending 15-20 hours a month creating custom dashboards. The data was not real-time and the process was time-consuming and inefficient.

Capco, a leading provider of global business and technology solutions for the financial services industry, was struggling with a lack of visibility into multiple data sources. This resulted in hours of manual reporting that hindered executives’ ability to make informed decisions. The limited view of people data also impacted manpower planning. Capco needed a consolidated view into data that allowed them to look at data as information instead of just raw data.

SABMiller, a multinational brewing and beverage company, faced challenges in monitoring its brands due to disconnected data sources. The company operates in 80 countries and has over 200 brands, making it difficult to maintain a standardized system for all data assets. The company wanted to create a global, standardized system into which all data assets could be plugged. They also wanted to drill deeper into data for insights into the business.

Stance, a leader in the retail segment, was facing challenges in spotting key trends in its business. The company was unable to combine disparate data sources into one centralized location, which hindered its ability to track real-time, comprehensive inventory levels. Furthermore, Stance lacked the capability to easily compare performance across all dimensions of the business. This lack of visibility and understanding of how every arm of the business was affecting each other was a significant obstacle.

The Cliffs, a real-estate development and private club company, was struggling with visibility into multiple data sources to track performance relative to targets. The company operates multiple real estate offices and member amenities, including seven luxury private country clubs, seven championship golf courses, five wellness centers, seven restaurants, seven retail shops, and private event venues. The company wanted to reduce the number of manual spreadsheets and hours spent on reporting. They needed a centralized location to view key performance indicators for each department in real time.

Rakuten Marketing, a global digital marketing technology and services company, was facing challenges in providing high-level data to its clients and executives. The reported information was often outdated, and the process of gathering and sharing data was too manual. This was a significant issue as Rakuten Marketing places high value on actionable information. The company needed a solution that could provide real-time, accurate data to its clients and executives.

Lendio, a company that aggregates lenders into a simple online platform, was facing challenges due to a lack of quality data. The company had limited visibility into multiple data sources, which led to outdated reporting. They needed the ability to look at all data sources in one place to get a real-time view of the business. Additionally, they wanted an option that allowed everyone in the office to create and view reports on their own.

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.

American Medical Identifications, a premier provider of custom medical ID jewelry, operates under two different brands - American Medical ID and One Call Alert. Each brand had different business models, custom order management systems, and websites reporting different pieces of information. The company needed a widespread, easy-to-use solution that would enable everyone in the organization to access the same data. They also wanted to ensure the accuracy of the data and make it easily digestible enough to see trends.

Xactly, a rapidly growing company that optimizes incentive programs, was in search of a solution that would help them effectively manage and share some of their data. The company needed a system that could handle the increasing amount of data generated by their expanding sales teams and territories. They also required a solution that was mobile-friendly, as their salespeople and business personnel were increasingly relying on mobile devices for their work.

As a leader in the enterprise software management revolution, smartShift was experiencing rapid growth. However, it was important to have consistent information and data available to everyone on the team in order to collaborate around projects and business. The company needed a platform that could work across different teams and departments. They also wanted a reporting system that would bring data sources together in one location to be turned into meaningful information.

Rapid7, a leading provider of security data and analytics solutions, was facing challenges with their data management. Despite being a data-driven company, they were spending a significant amount of time each month creating recurring reports. This was not only time-consuming but also hindered their ability to innovate and analyze the most relevant data. They needed a reliable data management platform that could integrate seamlessly with their existing systems and provide access to the same data across the organization.

Loveland Planet Aquarium was facing a challenge of scattered data across multiple sources and platforms, including Gateway Ticketing, Facebook, and Google Analytics. The visualizations were scarce and reports were difficult to consume and understand. The information wasn’t available in real time, which was affecting the efficiency and informed decision-making process. They needed a solution to centralize all of their business data in order to quickly provide executives, managers, and directors the information they needed to effectively run the business.

Apria Healthcare, a leading home healthcare organization serving over 1.2 million patients annually, was facing challenges with its sales organization. The company's data environment was siloed, which resulted in limited visibility into real-time sales data. This lack of access to crucial information was hindering the sales team's ability to make informed decisions. Furthermore, Apria needed a solution that was easy to use and could translate complex data into a format that an operational audience could understand and utilize 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.