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apidays LIVE Helsinki & North - Product data ecosystem in the digital dental industry by Sujoy Kumar Saha, 3Shape

apidays LIVE Helsinki & North 2021 - APIs, Platforms, And Ecosystems - Transforming Industries And Experiences
March 15 & 16, 2021

Product data ecosystem in the digital dental industry
Sujoy Kumar Saha, Data Architect at 3Shape

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apidays LIVE Helsinki & North - Product data ecosystem in the digital dental industry by Sujoy Kumar Saha, 3Shape

  1. 1. Product data ecosystem in the digital dental industry Sujoy Kumar Saha, Data Architect, 3Shape
  2. 2. Data and its strategy Critical Resource Data is not new, but it is now growing at an unprecedented pace. Humans have been recording facts as symbols, numbers and letters for thousands of years Not all data is valuable, but its general properties mean it is an increasingly critical resource Data Strategy Challenges  Most projects require access to the same data content, but the problem is the approach  No data sharing, no data reuse or any economies of scale activities to simply or reduce the data movement  Business users access common data across separate applications A data strategy is a plan designed to improve all the ways you acquire, store , manage, share and use data Data* Creates Values Data becomes valuable when it is used to improve social and economic processes, products, organizational methods, and markets Enhancing access to data is critical to unleash its potential The value of data has evolved tremendously over the past 20years *OECD : https://www.oecd.org/going-digital/data-in-the-digital-age.pdf Organizations need to create data strategies that match today’s reality
  3. 3. Product data Product data definition A product is a physical or digital good, which has the attributes of existing, having a name, being tradable. Approaches to defining a product as data:  Product Schema By imagining every possible product attributes  Product Metadata Product metadata is the data about a product which is not necessarily a physical aspect of the item An effective digital product data platform helps a company to :  Create new business opportunities  Increase profitability for stakeholders  Boost customer satisfaction and repeat business Benefit s
  4. 4. Technologies used to manage product data Internal organizational data • ERP : Enterprise Resource Planning • MDM : Master Data Management • DAM : Digital Asset Management Internal product data • PDM : Product Data Management • PLM : Product Lifecycle Management • PIM : Product Information Management Customer facing data • PXM : Product Experience Management • PIDS : Product Information Distribution Service
  5. 5. Product data journey – source to consumers 5 Product APIs ERP Supply Chain Manufacturing Orders Finances Purchases ... PLM Ideation Product Specifications ... DAM Images Videos User Guides ... PIM Ingest Enrich Configure Translate Publish Mobile App eCommerce Websites Point of Sale Printed Materials Consumers
  6. 6. Product data ecosystem would enable Faster Speed to Commercialization Better Data Quality Easy Access to Information Increased support for localization More flexible APIs Supports Cloud Strategy Example: Updating all digital platforms with new product information Example: Updating the product configurator & reseller price lists with new products and pricing Example: End-customers, resellers, employees need access to product information, but varying levels of access depending upon their use cases Example: Create a Chinese version of the Product Configurator Example: Consumer systems require access to product information in relation to store items and catalogue availability Example: Supports cloud and microservices strategy for scalable infrastructure, enabling product marketing data accessibility across the organization or business channel
  7. 7. 5 core components of product data strategy The Core Components Identify Store Provision Process Govern
  8. 8. PIM Integration architecture PLM ERP Data flow Backend applications Websites eCommerce Frontend applications DAM Mobile Apps Digital assets ref. Digital assets CDN Product data Calls Access data using APIs
  9. 9. Single API gateway service Product Service Shop Mobile Apps Calls Client Service Product API Gateway Single entry point • Provides a single-entry point for certain groups of microservices • API gateway sits between the client apps and the microservices • Verify that the client is authorized to perform the request
  10. 10. Using multiple API Gateways Product Service Backend Websites eCommerce Frontend applications Mobile Apps Calls Client Service Product Experience Gateway Shop API Gateway App API Gateway Client specific APIs
  11. 11. Security – JWT access token • It authenticates requests and forwards them to other services • The API Gateway authenticates the request and passes an access token (JSON Web Token)
  12. 12. PIM Technology landscape of API architecture PLM ERP Data flow Backend applications Websites eCommerce Frontend applications DAM Mobile Apps Digital assets ref. Digital assets Product data Calls Product API (Azure Web Apps) Product Data (Azure Search index) Product Connector (Custom) Azure CDN
  13. 13. Conclusions • Faster availability of product data improves the business profitability • Microservice architecture decouples the integration among different systems • Gateway based design encapsulates the security concerns • Exposes the client specific APIs based on the access token
  14. 14. Thank you

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