Tableau Delivers Rapid Analytics and Reporting for Marketing Automation Application
Company Size
11-200
Region
- America
Country
- United States
Product
- Tableau
Tech Stack
- Data Visualization
- Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Application Infrastructure & Middleware - Data Visualization
Applicable Industries
- Software
Applicable Functions
- Product Research & Development
- Sales & Marketing
Use Cases
- Predictive Quality Analytics
Services
- Data Science Services
About The Customer
Predicta is a company that specializes in online marketing intelligence services. Founded in 1999, the company has developed proprietary solutions that include an ad serving platform and a Web analytics suite. These solutions allow online marketers to leverage the power of the Internet as a new marketing channel. Predicta's services are designed to provide insights and intelligence that can help marketers optimize their online marketing strategies and achieve better results.
The Challenge
Predicta, an online marketing intelligence services company, was facing a challenge with its product development and customer service. The company's developers were spending a significant amount of time creating filters, drill-downs, graphs, and other capabilities into the company’s product interfaces. This was diverting a large share of developmental resources from creating new features. Additionally, Predicta’s current analytical capabilities required technical knowledge, causing customer questions to be directed to IT instead of the analysts, further impacting IT’s productivity. Predicta recognized that it needed to improve reporting capabilities to enhance the customer experience and make the best use of resources.
The Solution
Predicta decided to implement Tableau as the main analysis and reporting solution. This decision was aimed at freeing up development and IT resources and making the customer experience significantly easier. With Tableau, Predicta developers were able to dedicate 70% more time to creating product-enhancing features. In addition, Predicta analysts and customers now have the ability to quickly explore data through easily customized visualization— something the old software couldn’t do. Visualizations that used to take 2 weeks now take only hours with Tableau. The analysts themselves can now generate more effective visualizations by leveraging expertise about specific customers’ needs that IT does not have.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
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.
