Attribution of media spend is a common problem shared by people in many different roles and industries. Many of the solutions that are simplest and easiest to implement don’t drive the right behavior. Tushar Mukherjee (Head of Ecommerce Analytics at Lenovo) shares practical lessons learned developing and applying multivariate attribution models at Lenovo.
[Recording from Strata Data Conference 2019]
In the latest instalment of the FinML meet-up we welcomed Apoorv Kashyap and Charmee Patel to discuss how to use digital behavioural data in ML-applications.
[Recording from FinML meet-up]
The state of the art in productionizing machine Learning models today primarily addresses building RESTful APIs. In the Digital Ecosystem, RESTful APIs are a necessary, but not sufficient, part of the complete solution for productionizing ML models.
[Recording from Spark + AI Summit 2019 Europe]
The California Office of Digital Innovation (ODI) supported the state’s COVID vaccine response with analytics that estimated vaccine hesitancy and guided the advertising strategy and allocation of the vaccine.
To understand your audience, it’s vital to have a complete view of the entire customer journey. However, when an organization fails to integrate all of its data, it’s robbing itself of the knowledge needed to achieve this and be successful digital marketers.
[Recording from Adobe Summit 2017]
Striking the balance between digital optimisation with siloed context and unleashing the powers of blended CRM and wider enterprise data can be a nightmare. Enter the ‘buy vs. build’ decisions to avoid black box 3rd party solutions.
[Recording from Adobe Summit 2018]
A global cybersecurity company protecting hundreds of millions of users deployed Syntasa’s real-time intent scoring to personalize
experiences at the moment of decision. This drove measurable conversion uplift while protecting margin where it matters most.
Learn how AHCCCS partnered with Syntasa and Google Cloud to build an AI-powered opioid treatment locator that helps Arizonans find care.
Syntasa’s Customer Audience Agent lets teams build behavioural audiences in minutes using AI and natural language. It validates against live data, respects governance controls, and delivers activation-ready audiences without technical delays.
Syntasa’s Customer Insights Agent lets teams ask customer data questions in plain English and get real-time answers instantly. It runs in your own cloud, converts language to SQL, and removes reliance on dashboards and data teams for faster, confident decisions.
Traditional CDPs often fall short—delivering slow timelines, bloated systems, and delayed ROI. Syntasa’s Composable CDP changes the game with a warehouse-native, modular platform built to accelerate revenue from day one. This overview shows how leading retailers are using composable architecture to activate customer insights faster, personalize at scale, and drive measurable outcomes—all within their existing data warehouse.
Retail Media Networks (RMNs) are transforming how retailers monetize first-party data—but not all architectures are built to scale. This case study walks through the core decisions retailers must make to design a future-proof RMN. See why a composable, data-centric approach outperforms vendor-heavy models in cost, security, and long-term agility.
