Data strategy and consulting
NeedKnow where data can create value and what to tackle first.
Possible deliverables- Assessment of the current situation
- Key metrics defined
- Plan of initiatives ranked by impact, effort and available data
Data and artificial intelligence consulting
See where your margin comes from, where you lose time and what to improve.
We are a data and artificial intelligence consultancy. We connect your information, build reliable metrics and put improvements into practice, with a focus on your business results. We bring in AI when it helps solve a specific need.
See how data turns into a decision
What it is for
Data that answers business questions.
Which products and customers bring in the most margin?
Where do delays and extra costs come from?
Which sales opportunities are we missing?
Which tasks can we automate?
We start from your company's questions. We review the information you have, define how to measure results and build what your team needs to act. We work in stages, with clear priorities and deliverables you can use.
How data turns into a decision
Example with synthetic data.
Step 1 of 6
Data starts out scattered
Sales are in one system, costs in the ERP and discounts in a spreadsheet. Each department sees only one piece.
- Sales system
- ERP (costs)
- Discount spreadsheet
It all comes together in one place
The three sources are combined automatically every day. Nobody copies and pastes.
- 3 sources, 1 place
- Daily update
Quality gets checked
Each problem gets its own treatment. The rest of the data moves on.
- DuplicateInvoice entered twice: discarded and logged.
- IncompleteSale with no date: set aside to be fixed at the source.
- Variant“Southside Hardware Inc.” and “Southside Hardware Inc”: merged into one customer.
It is organized the way the business thinks
Each sale is linked to its discount and its cost, by customer, product and month.
ProductUnitsDiscountCost
A1,24022%high
B6105%medium
C83014%medium
The metric shows where to act
The best-selling product is the one that leaves the least margin.
Decision: review the discount policy for Product A and measure the effect the following month.
The process already pays off at this step.
AI adds value when it helps Optional
With organized data, artificial intelligence can look ahead: it warns that Product C is starting to follow the same path.
- Early alerts
- Questions in plain language
- Reading documents
Services
Organized around what your business needs to solve.
The engineering, analytics and tools stay behind the scenes. What you get is reliable information and solutions your team actually uses.
Data integration and quality
NeedHave consistent, up-to-date information to work with.
Possible deliverables- Integration of systems and spreadsheets
- Automatic information updates
- Quality controls
Business analytics
NeedUnderstand results and decide where to act.
Possible deliverables- Profitability analysis
- Management dashboards
- Segmentation and alerts
Applied artificial intelligence
NeedAnticipate what is coming and automate specific tasks.
Possible deliverables- Demand forecasting
- Assistants that answer questions about your company's information
- Document processing
Getting started
Three ways to work together, depending on where you are.
Assessment and action plan
Within a set timeframe, agreed after a first conversation, we review your information sources, define the metrics that matter and choose the first improvement to make.
- Map of the problem
- Review of the information available
- Proposed metrics, with their definitions
- First priority initiative, with its scope and how to measure it
The plan is yours to keep, even if we do not continue working together.
Ask about the assessment (opens WhatsApp in a new tab)Implementation project
Solve one specific need: see the margin for each customer, automate a report or bring sales information together.
- Agreed deliverables
- Acceptance criteria in writing
Monthly support
A data partner for your business: we review your metrics, maintain the solutions and build improvements based on your priorities.
- Regular review of metrics
- Maintenance and improvements
How we work
From a business problem to a result you can measure.
1
Assessment
We understand the business problem before suggesting any tool.
2
Design
We define the scope, the deliverables and how we will measure the result. You know what you will get and when.
3
Implementation
Tested and documented solutions, with ongoing monitoring, that your team can use and maintain.
4
Measuring impact
Every project is tied to a concrete measure, agreed once we know the starting point.
- hours spent on reports
- time to get information
- reconciliation errors
- forecast accuracy
- dashboard use
The company
Ingeniería Digital combines business consulting with data engineering and artificial intelligence.
We start with the business numbers (margin, costs and turnaround times) and only then choose the technology. That way, every data or AI solution supports a specific decision.
We work under a formal contract, with confidentiality and clear deliverables, agreed in writing before we start.
Business perspectiveMargin, costs and results first; technology second.
Clear scope and deliverablesAcceptance criteria agreed before we start.
ConfidentialityYour information and your results are never published.
Remote and on siteDepending on what each stage of the project needs.
Contact
Tell us what you need to solve.
A first conversation, with no commitment, to understand your situation and see whether we can help.
Message us on WhatsApp (opens in a new tab)
We reply within 24 business hours · direct chat, no forms