iPinYou announced the third round of data management partnership with Guangqi Honda
iPinYou is thrilled to announce
The data-driven business decision system built by iPinYou and Guangqi Honda is the first enterprise data management platform in the industry with both a data and business centre.
Based on the efforts of the first two rounds of partnership, this end-to-end solution will add modules for CDP, MA (Marketing Automation), intelligent algorithm, existing customer prediction.
As a pioneer of data management, Guangqi Honda set a precedent of data-driven decision methodology in automotive industry. This strategic cooperation will continuously optimize applications of first-party data management, data mining, business decision and media management.
We are excited to embark on this new journey with Guangqi Honda in digital transformation and jointly bring Guangqi Honda to new heights.
About iPinYou’s AlphaData? (DMP/CDP)
One-Stop Intelligent Enterprise Data Management Platform
iPinYou brings years of experience building smart, data-led media buying strategies and technology.
We help companies to build first-party data management platforms, enabling them to manage first-party (user) data, second-party (media) data and third-party (external partner) data comprehensively.
iPinYou also helps companies integrate and assimilate brands’ first party data, as well as third party data, using iPinYou’s unique data onboarding technology.
We also support clients with tailored approaches and decision-making in this area. For example, providing strategy proposals based on insights into media value and audience behaviour, or even a complete attribution model.
AlphaData? enables companies to manage first-party (user) data, second-party (media) data and third-party (external partner) data comprehensively and helps them integrate 1st party data, as well as third party data, using iPinYou’s unique data onboarding technology.
With the ability to build proprietary first-party label systems and embedded multiple-algorithm models, AlphaDataTM enables detailed classification by various criteria, as well as in-depth and comprehensive customer analysis. It powers consistent and personalized communication with users across all channels to increase customer lifecycle value.
The all-data governance capability of AlphaData? is further enhanced by its “Data Lake + AI data platform + business applications” three-layer product architecture.
This allows the AlphaData? platform to provide a complete data management solution, encompassing an underlying data processing IT architecture. This is in addition to supporting algorithm models used in AI-enabled middle-office data operations. And finally, it offers various application modules matched with specific front-end business functions. In short, AlphaData? is a one-stop solution that substantially enhances clients’ digital operations.
Powering AlphaData’s? comprehensive, smart functionality is the Holmes AI algorithm, informed by ten years’ learning in this field.
AlphaData? offers multiple algorithm models which make data analysis more thorough and actionable, supporting better, more effective business decision-making.
It is capable not only of cluster analysis, lifecycle analysis and value rating - but also predictive analysis, intelligent media analysis and creative analysis, among others. Additionally, AlphaData? is built on an open platform, interfacing with proven leading external tools and clients’ internal applications.
Some companies have found that, despite having a DMP or CDP in place, they still lack the data activation and post-validation to complete a closed loop. And that can result in a situation where data “is managed but not utilized” and continuous iteration and optimization are not possible, leaving them still far away from true intelligent decision-making.
It is with this pain point in mind that the more user-centric AlphaData? comes into its own.
The platform is designed specifically with building a complete closed-loop in mind. This starts with the data source - and covers everything from data collection to data cleansing, data onboarding and the establishment of a labeling system, to user segmentation and management - all the way to data activation and data re-collection after utilization.