Services of
Big Data for companies
We help companies like yours to turn their data into strategic decisions, optimize processes and detect business opportunities with Big Data solutions designed to make an impact from day one.

Solutions specific to our big data services
Business Intelligence: Faster, Smarter, and Safer Decisions
We transform your data into actionable knowledge through Business Intelligence solutions that integrate with your current systems. Visualize key KPIs, monitor in real time and make decisions based on facts, not intuitions. Our big data consulting approach ensures that each dashboard has a real impact on your business.
Data analysis: detect what others don't see
Our data analysis services allow you to identify patterns, optimize operations and predict trends before they occur. As big data consultants, we help you turn large volumes of information into a competitive advantage. From predictive models to advanced segmentation, we apply analysis techniques adapted to your objectives.

Benefits of our Big Data Consulting
Implementing Big Data solutions isn't just a technological improvement: it's a competitive advantage.
Our big data services are designed to generate real impact on your operations, finances and business strategy.
Decisions based on evidence, not intuition
Increased efficiency at all levels
360º view of the business
Predicting and anticipating trends
Customization in detail
Real time and cost savings
Continuous improvement and scalability
Greater alignment between technology and business
Why choose us as your consultancy? Big Data?
In a market saturated with generic solutions, at Milmoh we offer a unique approach: a Big Data consultancy that understands the business, masters the technology and delivers results.
Strategic and technical experience in a single team
100% execution-oriented approach
Tailor-made solutions, without dependencies
Security and total control of your data
Cross-sectional view of the business
Recognition and trajectory

Success stories in our RPA services for companies
Frequently Asked Questions About Our Services
What matters isn't the size of your company, but the relevance and potential of your data. If you detect repetitive tasks, manual reports, information silos, or intuition-based decisions, you already have a starting point. At Milmoh, we adapt our Big Data services for companies with different degrees of digital maturity, ensuring that the investment is proportional to the impact.
There is no single answer for all cases, but our methodology is iterative: we approximate value at an early stage with quick wins (for example, initial dashboards, partial automation) and then we scale. In many projects, our clients see measurable improvements within a few weeks.
We implement quality controls from the start: data cleansing, validations, unification of formats and business rules. In addition, we define a layer of governance that ensures that data is consistent, traceable and reliable. We don't work with assumptions: every piece of data is audited.
You don't need a robust team of analysts. At Milmoh, we act as a technical extension of your team: we design, develop, train and transfer knowledge to your staff. Thus, over time, your company gains autonomy.
Many companies offer sophisticated tools, but without strategic support or adaptation. We integrate Big Data consultancy + execution, which means that we don't just advise you, we also build, integrate and operate the solution until it works and generates real value.
Safety is a priority. We apply encryption protocols, access control, anonymization when necessary, and regulatory compliance (such as GDPR). In addition, we design architectures that allow you to decide what data should be stored in the cloud and what else should remain in your local infrastructure (on-premise) when the project so requires.
Not necessarily. Our approach is integrative. We work with your current systems (ERP, CRM, e-commerce, existing databases), and we build bridges (ETL, APIs, pipelines) so that your data flows without having to replace everything. Full migration is only necessary if it's the best strategy; it's not a requirement.

