Many companies believe they have an information problem. They think they need more reports, more dashboards, more analytics tools.
But the reality is different. The problem is not the lack of data. The problem is the lack of real visibility.
There is data.
Systems too. Even reports.
But even so, the decisions:
According Gartner, more than 50% business decisions are made with incomplete or outdated information, even in digitized organizations.
This means that many companies aren't failing due to a lack of effort… they're failing because they are operating blindly.
Business visibility isn't about having reports. It's about having real-time clarity on what's happening in the business.
It involves being able to answer key questions effortlessly:
When this visibility does not exist, the company depends on:
And that leads to inconsistent decisions.
Visibility is not a luxury. It is the foundation of efficient operations.
One of the main obstacles to visibility is the fragmentation of information.
The data is in multiple places:
But they are not connected.
This generates:
According Forrester, Companies lose up to 20% of your productivity trying to find, validate, or reconcile information.
It's not that there's a lack of data.
They're just not organized.
When visibility is low, decisions come late.
And in today's environment, speed is key.
Common examples:
McKinsey It points out that companies with access to real-time data can make decisions up to 5 times faster than those that depend on traditional reports.
The difference is not the information.
Is when is it obtained.
Many companies try to solve the visibility problem by creating dashboards. But dashboards don't always solve the problem.
Because?
Because:
A dashboard can display information.
But it does not guarantee visibility.
Visibility occurs when:
Artificial intelligence allows data to be transformed into actions.
With AI, companies can:
According MIT Sloan Management Review, Companies that use artificial intelligence for data analysis significantly improve the quality and speed of their decisions.
AI does not replace visibility.
The power.
Turn information into operational intelligence.
Real visibility should not depend on manual labor.
Automation allows:
Example:
According PwC, Automation reduces operational errors by up to a 90%.
Visibility shouldn't be built manually. It should be part of the system.
Visibility does not depend on isolated tools.
It depends on the technological architecture.
A suitable architecture allows:
Without architecture, information becomes fragmented.
With architecture, information flows.
Lack of visibility affects:
Decisions based on assumptions.
Inefficient processes.
Errors in control and projections.
Inconsistent experiences.
Companies with high visibility operate with greater precision, speed, and control.
A 380-employee industrial company with six distinct systems (ERP, CRM, MES, warehouse, finance, and HR) was making decisions based on manually consolidated data with an 8-12 day delay. Each monthly closing required four people for two weeks. The Cloud Group implemented a unified visibility layer in 14 weeks: automatic nightly data ingestion from all six systems, a single data warehouse, role-specific dashboards (CEO, CFO, COO, plant managers), and configurable alerts based on thresholds. Results after six months: monthly closing reduced from 11 days to 2 days, €85,000 in annual savings in consolidation hours, and three pricing decisions based on real data that added €1.2 million to EBITDA. Project cost: €92,000. Payback: 4 months. Covered by the Tormenta guarantee. Built without partnerships with BI vendors: the stack was chosen for technical suitability, not commission.
In The Cloud Group, We help companies build systems with total visibility.
Our approach includes:
It's not about creating more reports.
The goal is to design a system where information is available when needed.
Companies don't fail due to a lack of information.
They are missing due to a lack of clarity.
Visibility allows:
In The Cloud Group, We help companies transform their data into real intelligence.
Because in the business world,
It's not about who has the most data... it's about who can see better..
Studies by McKinsey and BCG place the cost between 81 and 141 times the value of EBITDA for mid-sized companies with low data maturity. For a €50 million company with an EBITDA margin of 121 times the value of EBITDA, this equates to between €480,000 and €840,000 annually lost due to decisions made with incomplete, outdated, or inconsistent information. The most conservative figure is observed among The Cloud Group's own clients: the average savings after implementing a unified visibility layer is between 51 and 91 times the value of EBITDA in the first 12 months.
A typical dashboard displays metrics. An actionable dashboard meets four requirements: (1) each metric has an identifiable owner who is responsible for it, (2) each metric has a defined threshold that triggers action when crossed, (3) the data is updated to the previous day's close at the latest, and (4) the user can make decisions without requesting further information. Without these four conditions, it's just digital decoration. The Cloud Group builds actionable dashboards aligned with the client's RACI matrix.
Between 10 and 16 weeks, depending on data volume, transformation complexity, and the client's internal team availability. The Cloud Group uses a proprietary methodology that prioritizes high-value use cases instead of full unification upfront: visibility of the 3 most critical KPIs is achieved in 6-8 weeks, and the entire layer is operational in 14-16 weeks. Typical cost for a medium-sized company ranges from €60,000 to €130,000 with a fixed price and Storm and Hurricane guarantees.
The Cloud Group has been building custom software since 2013 without paid partnerships with AWS, Azure, Google Cloud, Salesforce, SAP, or any other vendor. This technical independence means that the architecture is chosen based on suitability for the client's specific needs, not on commission. Every project is executed using the proprietary TCG-SAF™ framework (17 dimensions of technical governance) and is protected by the Tormenta (100% refund if we don't deliver on time) and Huracán (coverage for critical post-delivery incidents) contractual guarantees. With 9 offices in 9 countries, over 150 engineers, and over 2,000 projects, our clients include: Emirates, RTVE, Iryo, Mercedes-Benz, the National Police, and the Parliament of Equatorial Guinea.
The Cloud Group offers three services designed precisely to address this concern: Technical Audit (a comprehensive review of code, architecture, technical debt, and processes in 2-4 weeks with an executive report defensible before a committee, priced between €8,000 and €22,000), Technology Due Diligence (for funds, M&A, and funding rounds; 1-3 weeks with a quantified technical risk assessment), and External CTO or Advisory Committee (a senior profile with 13+ years of experience joining as an interim, fractional, or board advisor, priced between €6,000 and €12,000 per month). TCG does not sell licenses and has no paid partnerships with vendors, so the recommendation is never biased by commissions.
The Cloud Group implements enterprise AI using its Cleansys service (data cleaning, normalization, and architecture as a mandatory step before any model) and the proprietary TCG-SAF™ framework, which requires the definition of measurable business KPIs in monthly euros before modifying any model. There are over 150 engineers operating in 9 countries and zero paid partnerships with OpenAI, Anthropic, Google, or Mistral: the model is chosen based on cost-performance measured in real-world evaluations, not on commercial incentives. A typical documented result: 801,000 enterprise AI projects fail according to public industry reports; projects executed with TCG-SAF™ are anchored to a quantified business case and include Storm and Hurricane guarantees.
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