The Client is the pioneer in multi-dose prescription packaging, needed to completely rewrite its software application to meet the modern needs of its pharmacy customers and to position the company for future growth. Kanda played a critical role by helping the Client to secure investment capital, and by becoming their dedicated development partner charged with architecting and developing a new software application that can scale with the company’s North American expansion.

The Client is the leading premium mobile advertising exchange, creating a highly efficient and liquid market for advertising buyers and sellers alike. The company provides a range of programmatic markets to enable buyers and publishers to accelerate their businesses by choosing how they want to buy and sell including public, private exchanges, and programmatic markets – and supports an ever-growing volume of rich media and video ad units. Kanda has worked on the development and the enhancement of the core platform and data warehouse for integrated 1st and 3rd party data, including behavioral, contextual, enriched location, and privacy data to enhance targeting and retargeting.

Today’s increasingly digital-centric business world demands a real-time connected data ecosystem accessible by key stakeholders and data analysts alike that enable both to make informed, business-critical decisions quickly. Due to the nature of its business, this Client collects vast amounts of data from various sources: campaign data, 1st, 2nd and 3rd-party data, ad server data, etc. However, much of the data wasn’t being used to its full potential in providing seamless, real-time insights to both internal analysts and clients to improve marketing campaigns and to better understand the consumer’s journey to purchase.With disparate data being received and stored in multiple formats, databases and internal systems, analyzing and processing it proved time-consuming and complicated.The Client has worked with Kanda to explore possible solutions that could help to automate manual processes, to reduce the amount of human error, and to provide real-time analytics capability.