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Crowd Media Turns Messy Data into Powerful Insights
技术
- 应用基础设施与中间件 - 数据可视化
- 分析与建模 - 预测分析
适用行业
- Software
- Professional Service
适用功能
- 商业运营
- 销售与市场营销
- 质量保证
服务
- 系统集成
- 数据科学服务
- 培训
挑战
The company’s marketing, operations, and finance departments all collect large quantities of data. The performance of various marketing channels (social media, television ads, influencer outreach, etc.) would generally be stored in spreadsheets, in addition to operational and financial data. As the business is global and data is coming in multiple formats from a variety of systems, the data was not uniform — it needed to be standardized before analysis. In the beginning, the company was working with a ‘data dump’ — a webpage with the relevant numbers, which could not be filtered or drilled into. As Crowd Media grew, so did their data and number of data sources. Suddenly, they were integrating Redshift DB, MySQL, and connecting to various APIs from Facebook Ads and App Annie in addition to their question/answer database. Ian wanted to generate more detailed reports on a daily basis that could be easily filtered by any user. At first Ian used Excel, but it soon became clear that a more robust system was needed.
关于客户
Founded in 2009, Crowd Media is a global mobile entertainment and micro job company that allows customers to crowdsource answers to questions from experts around the world. The company has a diverse team of over 1000+ dedicated researchers, working in 28 languages, across 40 countries, answering millions of questions per year. Crowd Media's primary focus is on providing expert assistance and insights through various channels, including mobile apps. The company aims to leverage data to improve its marketing, operations, and customer retention strategies. With a global presence and a large volume of data coming from multiple sources, Crowd Media needed a robust BI tool to manage and analyze this data effectively.
解决方案
An external consulting agency implemented a competing BI product, but Ian wasn’t happy with this tool’s charting and dashboarding features. Searching for a replacement, Crowd Media considered three BI options, one of them Sisense. After building a few KPI dashboards during the trial period, Ian felt that Sisense was the most intuitive BI tool on the market due to its sophisticated charting abilities and how easy it is to grant contributor access to additional teams that could “get in and do their own thing”. For these reasons, as well as an attractive and flexible pricing model, Crowd Media chose Sisense. Deployment of Sisense was a very straightforward process, and Crowd Media had an Elasticube and a dashboard up and running even before the first onboarding session. Today, Crowd Media uses Sisense to find the best-performing markets and channels, calculate earnings from text messages, taking into consideration the researchers’ fees and marketing costs, and increase overall customer retention. The heaviest Sisense users are in the marketing department. A live dashboard is displayed on a large TV monitor, displaying the most frequently asked questions in the past 15 minutes, along with a map showing which countries have the highest usage. Different marketing campaigns and initiatives are tracked through Sisense and these insights are then used to improve marketing efforts. The dashboards are on all the time and also used to monitor problems — if there is a sharp downward percentage change, this could indicate an issue with marketing efforts or technical difficulty.
运营影响
数量效益
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