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BizzTreat, a Czech data consulting company, initially served small to midsize companies and sought to provide a cost-effective, easily accessible platform for data visualization and streamlining operations. The company also needed an internal solution for data analytics to cater to its rapidly growing employee base. As BizzTreat grew, it noticed that many companies struggled with data distribution and presentation, particularly when forecasting sales or developing strategic initiatives. One such company was Czech textile supplier MALFINI, which was experiencing slow and inaccurate Excel reporting across departments due to disparate and siloed data sources. This led to inconsistent monthly goal fulfillment and inefficient decision-making processes.

ELEVATE, a provider of a modern, talent-focused and supply-oriented workforce management platform, was looking to differentiate itself from competitors by offering flexible data analytics capabilities. However, the company did not want to build these tools from scratch or increase costs due to expensive licensing arrangements. ELEVATE's customers, Managed Services Providers (MSPs) in contingent labor worldwide, needed a solution that would give them more control over data integration and modeling. The company sought a Business Intelligence (BI) innovation partner that would provide a flexible solution adaptable to any environment or touchpoint in the talent acquisition and management chain.

CompareNetworks, a company that builds B2B media marketplaces to connect science and healthcare manufacturers with target buyers, needed a business intelligence partner to fulfill their complex business needs. They wanted to help their customers cut costs and increase revenue with their proprietary imSMART tool, while also accelerating their own growth as a creator of comparative B2B marketplaces. However, they lacked the necessary analytics. Over the years, they observed their customers struggling to share data across sales and marketing teams to realize business goals. This led to the development of imSMART, an interactive mobile sales enablement tool for B2B companies within the science and healthcare industries.

EAB, a leading provider of education research, technology, and advisory services, was facing challenges with its data reporting process. The company's tailored data reports for each partner school could only be manually created internally in a complicated Excel template and then presented in PowerPoint. This process was slow, laborious, and lacked the utility and accessibility needed for institution-specific analyses. EAB wanted to enhance its analytics capabilities and provide the data tools and visualization capabilities that colleges and universities needed to better manage their initiatives and gain insights about their work.

Repsly, a retail execution platform provider, was looking to expand its market and secure larger customers. To do this, they needed to integrate deeper data insights into their platform to better serve and inform the decision-making of large consumer packaged goods (CPG) companies. They required an analytics partner that would enable enterprise customers to better track product and promotion-specific performance while being easy to understand for both business users and thousands of field representatives. Prior to 2018, Repsly’s platform was best suited for teams of up to 50 to 100 CPG field representatives. To help acquire enterprise CPG customers, Repsly brought on Peter Billante as its Chief Product Officer. Billante identified that the company needed to improve its analytics and reporting capabilities to accommodate its desired targets. More specifically, he knew that Repsly had to increase avenues for large CPG companies to efficiently analyze substantial amounts of data. These improvements would inform decisions based on insights derived from in-store sales and workforce feedback.

Destination marketing organizations (DMOs) are responsible for properly allocating taxpayer dollars to local and state tourist attractions, and they require deeper insights to make data-driven decisions. However, DMOs are traditionally slow to innovate and rely on survey results that are at least six months old. The lack of real-time data insights has been a significant obstacle to improving decision-making. Jay Kinghorn, Zartico’s Co-Founder and CIO, saw how the private sector leveraged data for strategic alignment to better understand customers and transform organizations, and he knew there had to be a way for public sector entities to do the same. According to Kinghorn, DMOs lacked both the data and the technical resources to improve operational efficiencies for the communities they serve. Zartico set out to bring these organizations into the future — move them away from survey data as the main decision-making source (typically taking six to nine months to complete and analyze), and toward real-time data analytics for better distribution of private investments and taxpayer dollars.

Tam Tam, a digital agency based in the Netherlands, has evolved from a simple website builder to a strategic partner for its clients. The agency differentiates itself by having a strong data-driven culture, both internally and with its clients. However, the challenge lies in managing transparency in client relationships, especially when sharing real-time data about campaign performance. The nature of digital data means that numbers can fluctuate, which can cause concern for clients if not properly understood. Furthermore, the fast-paced nature of the industry requires consistent and up-to-date information to avoid unnecessary debates and focus on generating insights and ideas.

Digital-Telepathy, a UX design studio, was facing the challenge of managing and analyzing data from various sources. The process of individually finding numbers or locking in separate app platforms was time-consuming. The company wanted to have a data-driven approach for design development and aimed to see the results of their design work. They wanted to ensure that their designs were not just aesthetically pleasing but were also delivering results. The company also wanted to create a culture of curiosity about data and celebrate small wins.

Saasu, a global accounting platform, has always believed in the importance of data. However, the company faced challenges in making data the ultimate deciding factor in business decisions. The company needed a tool that could display KPIs and metrics prominently throughout their offices and on mobile devices. The challenge was to build a culture where data and intuition could work together, and where data visibility forms an important part of that culture. The company also faced challenges in choosing what to measure, as focusing on the wrong numbers could lead to not achieving business goals.

BNOTIONS, a multi-award winning innovation agency, was facing challenges in providing real-time reporting to its clients and building a data-driven culture within the agency. The agency was spending a significant amount of time on reporting tasks, which was not only time-consuming but also inefficient. The agency was also struggling with transparency and knowledge sharing across different teams and accounts. The traditional method of gathering data and presenting it in PowerPoint presentations was proving to be inefficient and time-consuming. The first five to ten slides of each presentation were dedicated to explaining how the project was performing before getting into recommendations.

BetterNow, a fundraising platform, was struggling to find a solution to effectively communicate and track their metrics. They had previously used another solution, Metricly, but it was discontinued. They needed a system that could connect to all their cloud-based systems and display data in a visually appealing and easy-to-understand manner. The challenge was to find a solution that could break down their overall goals into 'lead' metrics that employees could influence on a day-to-day basis. These metrics needed to be action-oriented and aligned with the overall business goals.

Yummly, a food-focused site launched in 2010, has always been metrics-driven. However, as the company grew, it found itself overwhelmed with information. The company wanted to focus on top-level metrics and visualize them in a way that would be accessible to all team members. They also wanted to build a culture of transparency, where mistakes and successes could be openly shared and learned from. This was a challenge as changing culture is generally difficult and transparency is typically not in one’s self-interest.

BillGuard is a company that revolutionizes the personal finance field by tackling the problem of unwanted charges on people’s bills, credit card statements, and bank accounts. They have an iPhone app that people can use to track their spending and save money. The challenge was to make data accessible and actionable for all the teams in the organization. They needed a tool that could refresh data on its own, be modularized so that if one graph doesn’t work, it won’t break the entire dashboard. They also needed a tool that could easily add another stat to the dashboard when things change or when they do something that requires following another key metric.

Pearson, a global education company, was looking to become more agile and promote data-driven decision-making. The company was already using a variety of cloud technologies, including Google Mail, Documents, and Hangouts, as well as Service-Now and Jira and Confluence. However, the company faced challenges in bringing this kind of mentality and agility into such a large organization. There was a distance between the person who knew they needed information and the person who could deliver it, and there was a skill challenge and a knowledge gap. Many people didn't know that tools were available on the Internet.

Podio, a team organization and communication platform, was facing challenges in sharing insights and tracking the impact of their work. The team was spread across San Francisco and Copenhagen, making it difficult to keep everyone updated on the company's performance. Traditional methods like whiteboards were not effective due to the geographical dispersion of the team. Furthermore, the company was missing a way to track how they were doing as a business. They had key performance indicators (KPIs) around user growth, new customers, daily active users, monthly recurring revenue (MRR), churn, etc., but they lacked a centralized system to visualize and share these metrics. They also wanted to track their performance in customer support, which was a crucial aspect of their business.

Ecosia, a search engine that donates 80% of its revenue to a tree planting program in Brazil, is looking to scale up globally. The company is competing with major players in the market by providing equal-caliber search quality with a unique value proposition. However, given the number of various data sources and high search volume, it can be challenging to maintain focus and silence a great deal of noise. Additionally, since Ecosia takes the privacy of its users very seriously and doesn’t store any data or employ personalization algorithms, measuring usage and engagement is a difficult endeavor.

Rubicon Project, a leading technology company automating the buying and selling of advertising globally, is a metrics-driven organization with a massive marketplace that powers more than 180 billion ad trades per month. They have a Greenplum data warehouse and use Graphite extensively, with over 250,000 graphs. Despite having sophisticated business intelligence and analytics tools, they needed a way to get a quick, generic overview of what was going on in the company. Traditional methods like Excel sheets were time-consuming and not efficient. They needed a tool that could automate the process of displaying data in a way that could be easily shown to people in staff meetings every week.

Kigu.me, Australia’s largest importer of animal onesies and authentic kigurumis, experienced a surge in demand when onesie-wearing celebrities made the comfortable piece of clothing the new ‘it’ item. The trend spread globally, and Kigu.me needed a tool to help them keep up with the growing demand. The company was experiencing a parabolic growth, with sales doubling or tripling every month. The founders found themselves constantly refreshing the orders page to keep up with the sales. They needed a better way to monitor the health of the business on a daily basis.

Quiet Logistics, an Ecommerce Fulfillment company, was in search of a dashboard to complement their offering. They wanted a solution that could help them quickly summarize and access large amounts of data. The company wanted to leverage the infrastructure of a dashboard solution and utilize a number of custom widgets available. The goal was to create a system where everyone in the organization could instantly see how they were doing without having to ask questions like how many orders did they ship today, this week, this month.

Mirabeau, a full-service online agency, was looking for a way to empower their teams, build stronger relationships with clients, and develop a culture of result-oriented individuals. They needed a solution that could provide real-time insights into commercial or technical KPIs for their clients and give a multidisciplinary overview of running projects and daily operations for their Scrum/Agile/DevOps teams. The challenge was not only in designing and configuring a dashboard but also in defining the right KPIs and obtaining the right data in the first place. They faced difficulties in getting appropriate data from back-end located systems and databases due to security restrictions or distributed responsibilities.

Zendesk, a customer service platform used by over 40,000 companies worldwide, recognized the need for more extensive reporting to provide a deep understanding of customer interactions and internal support workflows. However, building the architecture to support premier analytics was a significant investment. After some research, Zendesk found that it was significantly less expensive to partner with a third party to build their advanced analytics. They chose GoodData, a cloud-based partner that could handle the scale of Zendesk’s business. The challenge was to leverage their new and improved analytics to enhance their trial-to-pay monetization model.

CompareNetworks, a platform provider of an online comparative marketplace, was already leveraging GoodData to evaluate platform performance and demonstrate the value of their solution to customers. However, they identified a gap in their service. After the handoff to sales, their customers’ marketing departments were losing visibility into how their assets were performing as prospects moved through the buyer’s cycle. Without a full picture of the success of their content at all stages of the customer journey, marketers couldn’t optimize materials to meet their buyers’ and sellers’ needs. This gap presented an opportunity to deliver more value to customers, while creating an additional line of revenue for CompareNetworks.

Open Universities Australia (OUA) is a pioneer in providing open and flexible access to quality online higher education. However, with the evolution of traditional education and the increasing investment in blended and fully online programs, students have become more discerning. OUA saw an opportunity to offer an analytics solution for its university partners and the wider market. They wanted a solution that could be used by any educational organization and provide real-time, actionable insights into the user journey from acquisition to completion. The solution needed to seamlessly integrate with the existing OUA product, be easy to use by non-technical users, and allow for a continuous improvement cycle.

ServiceChannel operates a SaaS platform for facilities management, helping businesses manage everything from finding qualified contractors to managing labor and supplies, straight through to final payment. However, the company wanted to provide more value to its customers by offering advanced analytics and benchmark results to help optimize their businesses. They also wanted to provide insights to external contractors to help them win more business.

As a rapidly growing company, Redbubble was dealing with an abundance of data across all areas of their organization. They recognized the importance of these insights for maintaining the positive trajectory of their online platform, but extracting them was a challenge. The team was spending valuable hours extracting data from RJ Metrics into Excel to build manual pivot tables. They were also challenged by the limitations of their software to layer information together and look for trends and causality among the myriad data points. They reached a point where they were spending more time manipulating the data than using it to make decisions, indicating the need for a new solution.

HIMSS Analytics is a global healthcare advisor, providing guidance and market intelligence solutions that move the industry forward with insight to enable better health through use of IT. Prior to their collaboration with GoodData, clients could only download data into their spreadsheet or database programs, or view their reports as PDFs. As a result, the information was difficult to disseminate; many clients had to rely on their tech teams to download the data and send it to the appropriate managers. Also, the system only provided standard reporting with no customization features, so individual users were unable to drill down to the specific information they needed to make decisions. In addition, even minor changes had to be made by the development team, typically requiring four to six months. New features and updates required similarly long.

The Sunshine Act of 2013, for example, requires pharmaceuticals, medical device, and biotechnology companies to collect, track, and report all payments made to healthcare professionals. Every time a company reimburses a healthcare professional, he or she generates what regulators call a “Transfer-of-Value”. The company must keep records of all such Transfers of Value and measure them against the thresholds based on their company’s policies and direction. Violation of policies and not conforming to compliance controls leads to serious fines sometimes to the tune of millions of dollars not to mention multi-year oversight of the company’s compliance processes and procedures by monitors that cost the company a lot of money. Life Sciences companies internationally including in the European Federation of Pharmaceutical Industries and Associations (EFPIA) face similar regulatory challenges. MediSpend has partnered with GoodData since the product’s earliest iteration. During the first few years, they partnered with a third party for the ETL (extract, transform, and load) side and with GoodData for the analytics. Soon it became clear that having separate data management and dashboard technologies was sub-optimal and was not efficient in onboarding new customers.

Fourth, a leading provider of cloud-based cost control solutions to the hospitality industry, was struggling with data management. They had a large amount of data but found it difficult to bring the information together and see the interdependencies and correlations. The analytics packages that were available were beyond the budgets of most operations budgets. Those who couldn’t afford it were doing everything in Excel. Another problem lay in the distribution of the data, or lack thereof: There was no easy way to get the data into the hands of all the different stakeholders for informed decision making at various levels. Fourth recognised an opportunity to offer their customers an affordable, cloud-based distributed analytics solution to meet the needs — and fit the budgets — of the entire business chain in the hospitality industry. But first they needed the right platform from the right partner.

The GED Testing Service, a joint venture between the American Council on Education (ACE) and Pearson, was looking to adapt the 70-year old GED test to the skills needed in the 21st century. They wanted to centralize testing via authorized testing centers to provide significant quality control for scoring, monitor for fraud detection, and distribute practice tests anywhere to any platform. However, all test scores were fed from various states downstream to a legacy data warehouse that the GED Testing Service would use for statistical analysis and to confirm the accuracy of test scores. This resulted in a detailed annual report, but the data was only updated once a year, which was not sufficient for their needs.

FCm Travel Solutions, a top 5 global travel management company, was facing challenges with its existing analytics service. The company's solution, built on a database rather than a warehouse, was struggling to keep up with customer reporting needs, taking up to 15-20 minutes to produce dashboards. The volume of data that the solution had to handle had grown due to the proliferation of travel channels and partnerships. Additionally, the number of individualized contracts employers had to manage was increasing, necessitating a higher degree of personalization. Employers were also identifying an elevated need to balance company financial goals and employee comfort to retain top talent.