Data Engineering
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Data Governance
Quantyca Data Strategy image

Specifically, the Data Strategy consists of analyzing an organization’s starting situation and subsequently identifying a solution that meets all known needs and can evolve in an agile and sustainable way to meet future needs as well. In our view, the Data Strategy, the design of the socio-technical architecture, and the implementation/maintenance of the solution are part of a closed and continuous cycle in which the information produced in each phase is used in the next phase to improve its efficiency and effectiveness.

Over the years, Quantyca has developed its own methodology for defining and implementing Data Strategy through four phases:

  1. Assessment, for mapping the as-is, evolutionary scenarios, and proposing the solution. We have built a time-boxed methodology to evaluate the current context (maturity and readiness) and collaboratively build a minimum viable strategy.
  2. Foundation, whose purpose is to prepare a minimum viable platform that makes incremental implementation of the solution agile. To this end, we have created an open platform for managing the lifecycle of a data product.
  3. Mobilization, for executing POCs to highlight critical points and validate blueprints and transition plans produced in the assessment.
  4. Execution, which incrementally implements the solution one use case at a time.

The Data Strategy is strongly linked to the business strategy, and for this reason, already in the very first phase of the assessment, it requires a confrontation with the main stakeholders in order to deepen needs/expectations, business model, roles/responsibilities, and relevant processes. Once the functional aspects are clarified, the analysis then focuses on existing data, systems, and applications. The proposed solution contains details on architecture, technologies, and infrastructure costs. It is accompanied by a detailed plan with the aim of guiding the organization through the transition from the starting situation to the achievement of the result.

The Foundation phase is vital to facilitate and encourage the implementation of use cases and to ensure their sustainability: it implements the core of the architecture and avoids the phenomenon where the first use case to need a capability, although shared, is also the one that takes care of it simply because it is the first to request it.

The contribution of the Mobilization phase is crucial to validate architecture, plan, and costs or to review some aspects if necessary: it can, for example, resolve ambiguous aspects in the assessment phase, such as the feasibility of a particular integration or the performance of a component.

For the Mobilization and Execution phases, we adopt the EDGE methodology, which uses a lean value tree (a set of success measures and a lightway governance framework) to proceed iteratively and value-driven, balancing costs and benefits, and prioritizing tasks to be performed.

Success Stories

Use Cases

Online Webinar
Data Management Trends 2022
Date and Time: 06/07/2022

Data Management Trends On this page, you can find the “Data Management Trends” presentation by Andrea Gioia, CTO & Partner of Quantyca, originally presented during the Data & Drinks event...

Hybrid Event
IKN Forum Banca 2022
Date and Time: 29/09/2022

Quantyca participated in the IKN Forum Banca event – sustainability, metaverse, cryptocurrencies, and blockchain: the challenges of the financial sector. How can a Data team effectively interact with its stakeholders?...

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...

Hybrid Event
IKN Forum Retail 2021 – Chapter 1
Date and Time: 24/06/2021

Process Mining for Customer Journey Analysis: Reconstructing and analyzing the real behavior of the customer in a complex ecosystem. Quantyca participated in Forum Retail 2021, the IKN Italy event designed...

Hybrid Event
IKN Forum Retail 2021 – Chapter 2
Date and Time: 28/10/2021

Quantyca participated in IKN – Forum Retail 2021, the IKN Italy event designed for its #onforumretail community. Francesco Gianferrari Pini, Co-Founder of Quantyca, and Matteo Gabanini, Business Intelligence IT Manager...



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


A Data Team adopting Agile and DevOps – IKN Forum Banca 2022


Data Management Trends – Slide Deck


La Data Strategy come motore dell’IT


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


Il Data Mesh e la spinta verso una gestione dati distribuita


L’adattabilità della piattaforma di integrazione in un modello Data Fabric


L’approccio data-centrico che cambia l’IT


I principi di un moderno Data Management

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