Download PDF
Go to Market with a New Analytic Product in Just 8 Weeks
Technology Category
- Analytics & Modeling - Real Time Analytics
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Software
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Predictive Quality Analytics
- Real-Time Location System (RTLS)
- Predictive Maintenance
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
The Challenge
Qvidian, a cloud-based sales execution software provider, was looking to replace their existing, static reports, to increase customer value and boost product differentiation. Despite the fact that Qvidian already provided reporting capabilities to its clients, the company decided to upgrade to more modern and self-service analytics. The risk of not creating a new analytic product would mean static reports, keeping the focus of Pro Services away from value-add services, and instead on building tactical, custom reports. Customers would have an inability to measure the impact of Qvidian products on their business and the sales team’s inability to show and prove the value of the product for new and upsell business. There would also be a lack of visibility into product usage and trends to make informed roadmap decisions.
About The Customer
Qvidian is a cloud-based sales execution software provider with over 1,200 global customers including Dell, Citi, Aramark, and Rosetta Stone. The company was looking to replace their existing, static reports, to increase customer value and boost product differentiation. Qvidian’s Vice President of Products, Karen Meyer, started to look at analytics because they felt that customers were flying the plane without the appropriate gauges. This put risk on growth opportunities if customers couldn’t assess their ongoing use of Qvidian and the ROI received. With this new thinking, analytics could provide value add to their product offering; one that would drive new business, create upsell opportunities, widen the gap between Qvidian and competitors, position Qvidian as a thought leader in the market, ensure highest levels of customer renewal, and leverage usage trends to influence product roadmap.
The Solution
Qvidian decided to partner with Birst, a BI platform, to provide more modern and self-service analytics. They put together a short-list of criteria for their choice, with the topmost being making it easier for customers to generate their own reports and data, rather than relying on the Qvidian Professional Services team or deep SQL knowledge to get information out. To turn its vision to reality, Qvidian hired a product manager that solely focused on analytics, aligned its internal teams of Pro Services, Education, Engineering and QA with analytics as a new GTM strategy, and engaged with Birst Partner, Cervello, for the initial implementation. They followed a User Centered Design approach, targeting two primary user personas (Proposal/RFP Managers and Content Managers) and a collaborative development model. The collaborative development involved twelve customers identified as early adopters. These customers could use the product for 9 months ‘free’ of charge and in exchange of feedback. These trials later converted to new sales opportunities.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Factor-y S.r.l. – Establishes a cost-effective, security-rich development environment with SoftLayer technology
Factor-y S.r.l., a web portal developer, was faced with the challenge of migrating its development infrastructure to a reliable cloud services provider with highly responsive technical support. The company needed a solution that would not only provide a secure and reliable environment but also support its expansion by providing resources to create and deliver innovative offerings.
Case Study
Darwin Ecosystem: Accelerating discovery and insight through cutting-edge big data and cognitive technologies
Darwin Ecosystem was founded with a unique vision of harnessing chaos theory mathematics to uncover previously hidden connections in unstructured data. The company’s algorithms can look at all the data generated by any source (such as news, RSS feeds and Twitter), and analyze how a specific set of concepts within that data are evolving over time. This is particularly valuable in situations such as business and competitive intelligence, social research, brand monitoring, legal discovery, risk mitigation and even law enforcement. A common problem in these areas is that a regular web search will only turn up the all-time most popular answers to a given question – but what the expert researcher is actually interested in is the moment-tomoment evolution of the data available on that topic. Darwin’s algorithm is computationally intensive, and the sources of data it correlates can be vast. To bring its benefits to a larger commercial audience, Darwin needed to find a way to make it scale.
Case Study
Zend accelerates, simplifies PHP development
Zend Technologies, a major contributor to the PHP open source community, needed to keep pace with emerging trends such as mobility, agile development, application lifecycle management and continuous delivery. The company needed to provide the right tools to the worldwide community of PHP developers. The challenge was to support enterprise-class capabilities from end to end, including mobile, compliance and security. The pace of business required developers to show results fast across a variety of devices without compromising quality or security.
Case Study
Delivering modern data protection with cloud scale backup from Cobalt Iron and IBM
Organizations are struggling to modernize their legacy data protection environments in the face of growing demands around new infrastructure, new applications, and budget consolidation. Virtualization and modern application development processes have significantly outgrown legacy backup architectures. In response, infrastructure teams have created multiple backup solution types to handle the varying SLAs (performance, scale, cost) required by their business sponsors. However, the sheer number and variety of solutions in this uncontrolled expansion creates huge amounts of work, threatening to overwhelm the IT team in many organizations. Today, developers may add new applications and virtual server instances by the hundreds per day without accounting for the restrictions of the existing backup infrastructure. They leverage the cloud for immediate compute and storage resources, yet rarely communicate succinctly with corporate IT to ensure that the appropriate data protection services are in place.
Case Study
Achieving near limitless scalability and flexibility with data in the cloud
Web-based publishing platform SpaceCraft found that as its client base grew, it was spending an increasing amount of time managing its databases, distracting its focus from product innovation. As its user base rapidly expanded, data volumes at SpaceCraft began to rise dramatically. Along with their main focus on maintaining and further developing a great platform for web publishing, the SpaceCraft team had the added pressure of managing the increasing quantities of data while ensuring ongoing high performance for clients.
Case Study
nViso SA – Delivers emotion recognition solutions worldwide with a scalable SoftLayer hosting solution
nViso SA, a company that provides emotion recognition solutions, was in need of a high-performance cloud hosting infrastructure. The company wanted to extend its services to a global customer base. The challenge was to find a solution that could handle the demands of their growing customer base and the need for high performance and reliability.