Empowering Brands with Customer & Product Data Insights to Improve Experiences
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About Speaker
Sanjeev KalwarSenior Manager Technology
Sanjeev Kalwar is Lead Solution Architect with Publicis Sapient. He has 18 years of diverse IT experience with expertise in Enterprise Architecture, CMS and MarTech technologies and extensive experience in Adobe Exp...
Aashima KumarSenior Manager Data Analytics
Aashima Kumar is an established Solution Architect in the space of Data Analytics and optimization at Publicis Sapient. She holds 15+ years of experience in conducting value-driven conversations with end clients, fo...
Data and Product insights can be used at different stages of a sales journey to make important business decisions and define strategy. Data insights can help in the pre-sales journey to prioritize the feature and product backlogs that will enable businesses to improve lead generation on digital platforms. The behavioural analytics-based persona-driven marketing insights can be leveraged for personalized targeting to be used in sales journeys.
In today's consumer-centric landscape, businesses operate in a realm where offline and online experiences intertwine. Consumer data generated online such as personal preferences, interests/wish-lists, purchase data, order history, demographic, etc. are readily available. Data democratization can be used to enhance offline customer experiences by developing tools that support data sharing between different offline selling channels. By processing the data collected in a unified way, businesses can provide seamless personalized experiences across touchpoints.
Publicis Sapient has a multi-disciplinary team of Data Engineers, Data Analytics & Data Science experts with a connected industry expertise to create unprecedented client benefits. They have one of the highest success rates for deploying Data & AI applications into production at scale. This session gives insights on some of these patterns that leverage data insights in 360o sales journeys to enhance customer's brand experience. For more information, visit publicissapient.com
Explore career opportunities at Publicis Sapient related to AEM domain:
Browse All: https://bit.ly/PublicisSapientOpportunities
Adobe AEM - Manager
Adobe AEM - Senior Associate Technology L2
Adobe AEM - Senior Associate Technology L1
In today's consumer-centric landscape, businesses operate in a realm where offline and online experiences intertwine. Consumer data generated online such as personal preferences, interests/wish-lists, purchase data, order history, demographic, etc. are readily available. Data democratization can be used to enhance offline customer experiences by developing tools that support data sharing between different offline selling channels. By processing the data collected in a unified way, businesses can provide seamless personalized experiences across touchpoints.
Publicis Sapient has a multi-disciplinary team of Data Engineers, Data Analytics & Data Science experts with a connected industry expertise to create unprecedented client benefits. They have one of the highest success rates for deploying Data & AI applications into production at scale. This session gives insights on some of these patterns that leverage data insights in 360o sales journeys to enhance customer's brand experience. For more information, visit publicissapient.com
Explore career opportunities at Publicis Sapient related to AEM domain:
Browse All: https://bit.ly/PublicisSapientOpportunities
Adobe AEM - Manager
Adobe AEM - Senior Associate Technology L2
Adobe AEM - Senior Associate Technology L1
Key points of discussion
- How data can function as the backbone of any marketing and content strategy
- How data can be used to define a Product roadmap
- How we can integrate offline and online data
- Identify approaches to create a competitive advantage through data and algorithms, and lay the roadmap for how to leverage data for Pre-sale, Sale & Post sale customer touchpoints
- Points to consider while choosing the patterns for business use cases
- Unlock Personalization at scale using AI/ML techniques
Who should attend
Developers, Architects, MarTech Technologists, Data Engineers, Digital Marketing Professionals, Data Strategy, Data Analyst, Data Engineer, Data Science, Product Management, Cloud Engineers, Solution Architects, Product Developers
Developers, Architects, MarTech Technologists, Data Engineers, Digital Marketing Professionals, Data Strategy, Data Analyst, Data Engineer, Data Science, Product Management, Cloud Engineers, Solution Architects, Product Developers