Technology Category
- Functional Applications - Warehouse Management Systems (WMS)
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Equipment & Machinery
Applicable Functions
- Sales & Marketing
- Warehouse & Inventory Management
Use Cases
- Picking, Sorting & Positioning
- Time Sensitive Networking
Services
- Cloud Planning, Design & Implementation Services
- System Integration
About The Customer
Infobip is a global leader in omnichannel communication, helping businesses and developers build, coordinate, and intelligently orchestrate engagement activities across their customers’ lifecycle. With over 12 billion monthly transactions, 700 direct connections, and 60+ offices on every continent, they power a broad range of messaging channels, tools, and solutions for advanced customer engagement, authentication, and security. The company's growth marketing team was previously bogged down by manual data collecting processes, which was costing them valuable time and resources.
The Challenge
Infobip, a global leader in omnichannel communication, was struggling with manual data collection processes. The growth marketing team was spending valuable time gathering information for lead acquisition and conversion reporting from Google Analytics and various ad platforms such as Facebook, LinkedIn, and Google. As a global company, Infobip’s marketing analytics required two advertising accounts with Facebook in different currencies, making it difficult to gain a holistic view of their advertising spend. The lack of a data platform that could automatically pull the data and provide reports led the team to rely on outdated spreadsheets to merge the aggregated data. This process required the support of Infobip’s business intelligence (BI) data engineers, who invested 10 to 15 hours a month just to consolidate and turn the information into usable datasets. The company needed a data integration solution that would eliminate such manual efforts, that could collect data from website analytics and ad platforms and push it to the company-wide BI tool Qlik Sense.
The Solution
Infobip found the solution in Adverity, a platform that could automatically merge the complex data from their advertising spend from different currencies. Through Adverity’s powerful technology, the team could examine specific data points such as costs, impressions, and clicks from every single platform. The information could then be quickly and easily sent to the data warehouse for the BI team to access, making the entire workflow process more productive. The ability to automatically bring together data from many different sources and transform it before sending it to Azure cloud data warehouse was a key factor in Infobip’s decision to choose Adverity. This solution liberated Infobip’s teams from having to manually accumulate and prepare the data, allowing them to focus on refining and analyzing the data to further business goals.
Operational Impact
Quantitative Benefit
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