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The level of maturity that many companies have achieved\u2014at least on paper\u2014should enable fast and informed decision-making. They have access to data, technology, expertise, and well-established organizational structures. Yet, when observing how these resources are translated into concrete actions, a widespread difficulty emerges: making decisions that are consistent, coordinated, and genuinely aligned with business objectives.<\/p>\n
The limitation lies in the ability to interpret and use data in an integrated way, transforming it into a practical guide for decision-making.<\/p>\n
The customer journey is almost always mapped and managed across its different stages. The real challenge lies in how the data describing it is used and whether it is capable of guiding decisions. Functions continue to operate with sound but largely independent approaches, optimizing individual levers without a shared view of their overall contribution to business performance: marketing focuses on awareness, CRM on customer relationships, e-commerce on performance, and finance on economic sustainability. These perspectives remain siloed and rarely converge into a unified decision-making model.<\/p>\n
Even the availability of data loses effectiveness when each stage of the journey is measured through KPIs tied to individual functional areas and only rarely interpreted within a common framework.<\/p>\n
Without a central point of synthesis, data continues to support local optimizations but fails to drive cross-functional decisions or clearly connect marketing activities to business outcomes.<\/p>\n
Adding to this challenge is a more structural issue related to data quality and consistency. Tracking systems built over time through layers of additions, data sources that are not always aligned, and attribution models that are not fully shared introduce a level of uncertainty that directly affects decision quality.<\/p>\n
When data loses reliability, interpretation becomes fragile. Organizations often compensate with experience or intuition, reducing the ability of data to effectively guide decisions.<\/p>\n
This issue carries even greater weight today. The erosion of traditional attribution models and the rapid evolution of AI make data quality and governance increasingly critical conditions for maintaining competitiveness.<\/p>\n
This misalignment produces a tangible outcome: part of the value generated throughout the customer journey is never fully captured.<\/p>\n
Investments generate activities and operational results without translating into proportional growth in revenue, profitability, or demand quality. At the root of the issue is the absence of a framework capable of measuring and governing the combined contribution of different business levers.<\/p>\n
In many cases, the response is the introduction of new tools or additional layers of analysis, increasing the volume of available information without addressing the underlying structural problem.<\/p>\n
The real challenge is the ability to interpret data consistently and use it to make better decisions.<\/p>\n
This is where orchestration becomes essential: the ability to build a framework in which data, KPIs, and objectives are interpreted through a shared logic, connecting customer journey dynamics to business outcomes while aligning insights and decision-making processes.<\/p>\n
A Data & Measurement Blueprint provides the foundation for this governance model. It clarifies which data matters, how it should be collected and validated, which KPIs should guide decisions, and how they connect to revenue, profitability, and the quality of growth.<\/p>\n
When such a model is in place, data evolves from a descriptive asset into a decision-making lever.<\/p>\n
In this context, the role of partners is evolving as well. Today, they are expected to contribute to the design of decision-making models, connecting data, customer journeys, and business objectives while helping organizations turn complexity into actionable choices.<\/p>\n
Companies already possess vast amounts of data. The real challenge lies in their ability to interpret and integrate it coherently within decision-making processes.<\/p>\n
The difference ultimately comes down to building a framework that makes decisions more transparent, more sustainable, and more directly connected to the value being generated.<\/p>\n<\/body><\/html>","protected":false},"excerpt":{"rendered":"
by Fausta Sposato, Managing Director Intarget \u00a0 The level of maturity that many companies have achieved\u2014at least on paper\u2014should enable fast and informed decision-making. They have access to data, technology, expertise, and well-established organizational structures. Yet, when observing how these resources are translated into concrete actions, a widespread difficulty emerges: making decisions that are consistent,…<\/p>\n","protected":false},"author":5,"featured_media":10503,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[38],"class_list":["post-10510","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-tech"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.intarget.net\/en\/wp-json\/wp\/v2\/posts\/10510"}],"collection":[{"href":"https:\/\/www.intarget.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.intarget.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.intarget.net\/en\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.intarget.net\/en\/wp-json\/wp\/v2\/comments?post=10510"}],"version-history":[{"count":2,"href":"https:\/\/www.intarget.net\/en\/wp-json\/wp\/v2\/posts\/10510\/revisions"}],"predecessor-version":[{"id":10649,"href":"https:\/\/www.intarget.net\/en\/wp-json\/wp\/v2\/posts\/10510\/revisions\/10649"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.intarget.net\/en\/wp-json\/wp\/v2\/media\/10503"}],"wp:attachment":[{"href":"https:\/\/www.intarget.net\/en\/wp-json\/wp\/v2\/media?parent=10510"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.intarget.net\/en\/wp-json\/wp\/v2\/categories?post=10510"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}