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Overview

A data product is the smallest unit of deployment within a data platform and consists of data and metadata, infrastructure components, and application code. Organizing data into products can be seen as the application of product thinking principles to data, with the aim of ensuring capabilities such as comprehensibility, reliability, accessibility, observability, interoperability, and security. Designing data products is done by applying the Domain Driven Design philosophy to the context of data, which corresponds to a clear division of ownership, organized by domain and distributed across multiple teams.

To ensure interoperability between various data products, the role of Data Governance is crucial, federated for effectiveness even with complex organizational models and automated through the consumption and production of shared metadata with other processes. To rationalize infrastructure costs, the platform should provide reusable services to support the development, operation, and governance of different data products, ideally in a self-service mode. Each data product is associated with an owner who is responsible for its success, which can be measured through data quality measures (such as reducing delivery times) and user satisfaction in general.

Key factors for the success of this solution include:

  • Agility in meeting business needs
  • Accountability in data production and consumption
  • Distribution of skills through cross-functional teams
  • Valuing and democratizing data

Success stories

Use cases

Events
Replay
Hybrid Event
IKN Applied Artificial Intelligence 2021
Date and Time: 17/11/2021

Intelligent Document Processing to go beyond OCR. How to use semantic engines and modern deep learning models to automate document management. “Quantyca took part in IKN – Applied Artificial Intelligence,...

Replay
Video Talk
MLOps with the autopilot 2021
Date and Time: 24/09/2021

Creating Machine Learning (ML) pipelines can often be complicated because of the tools and in-depth technical knowledge needed to create and deploy the right prediction models. AutoML systems provide a...

Replay
Hybrid Event
IKN Data & AI in Life Science 2021
Date and Time: 21/06/2021

Quantyca took part in the event dedicated to accelerated digital transformation for Data Management supporting AI in the Life Science sector. Projects in the Pharma and AI fields are based...

Replay
Onsite Event
Data in Motion 2022
Date and Time: 06/10/2022

Digital Integration Hub for near-real-time monitoring of logistics: The Arcese case study. We attended Data in Motion, the Confluent Conference for the first time in Italy: it was a unique...

Replay
Video Talk
IKN RPA & Intelligent Automation 2021
Date and Time: 26/05/2021

Quantyca took part in the event dedicated to the new challenges of digitisation and process automation organised by IKN Italy. Quantyca, Gold Sponsor of the event, discussed in his speech...

Replay
Video Talk
Snowflake, una Data Platform coi fiocchi 2020
Date and Time: 13/03/2020

Quantyca, a technology consulting company specialized in Data Management and a partner of Snowflake, has discussed the main challenges in today’s market and the competitive advantages of using Snowflake. This...

Resources

Blog
Free
07/07/2022

Il Data Mesh e la spinta verso una gestione dati distribuita

Blog
Free
07/07/2022

Il Data Mesh e il consumo self-service dei dati come prodotti

Whitepaper
Free
17/06/2022

BNL – Data Science Lab

Video
Free
06/10/2022

Digital Integration Hub per il monitoraggio in near-real time della logistica: Il caso Arcese

Slide
Free
03/05/2022

Customer Data Platform: perchè pensarci ora e come scegliere tra l’approccio make vs buy – Netcomm Forum 2022

Slide
Free
17/11/2021

Intelligent document processing per andare oltre l’OCR – IKN Applied Artificial Intelligence

Slide
Free
24/09/2021

MLOps con il pilota automatico – Quantyca, AWS & Snowflake

Slide
Free
24/06/2021

Process Mining for Customer Journey Analysis – IKN Forum Retail 2021

Video
Free
27/05/2021

IKN RPA & Intelligent Automation: Intervista a Francesco Gianferrari Pini

Slide
Free
26/05/2021

Da Robotic Process Automation a Decision Intelligence: concentrarsi sulla creazione di valore – IKN RPA & Intelligent Automation 2021

Slide
Free
01/02/2021

IKN Data & AI 2021 – Slide Deck

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