DMTEI.COM
First, the strategy is reformulated. Then, we measure whether it works.
First, historical metrics are reviewed internally to understand what happened and formulate a strategy. After it is implemented, statistical analysis compares the new results with that past to determine whether the change is working. History serves as both the starting point and the comparison baseline.
Path for evaluating a strategy
Data · Measurement · Tactics · Strategy · Impact
The main path
First, the strategy is formulated. Then, it is verified with data.
When the goal is to improve the business and verify whether the strategy works, order matters: first, history is interpreted and the change is formulated; then, later results are compared with the previous baseline.
Strategic analysis and data reconfiguration
Historical metrics are studied to understand how the business has performed in practice. Those data are not presented as a simple statistical report: they are used internally to detect patterns, problems, and opportunities and formulate a strategy adapted to actual customer behavior.
Review of the current strategy and available historical metrics.
Analysis of recurrence, frequency, transaction value, evolution, and behavioral changes.
Identification of recent, recurring, declining, inactive, or higher-value customers.
Reformulation of tactics and strategies adapted to how the business actually operates.
Definition of a historical baseline and the metrics that should be observed afterward.
Result: a strategy formulated from the past and a clear way to verify it later.
Statistical analysis of results
After implementing the strategy and gathering new data, later results are compared with the historical period used as a baseline. This clearly shows what changed after implementation.
To evaluate a DMTEI strategy, this is performed after the strategic analysis.
It works with previously defined metrics and uses the past as the baseline.
It presents charts, percentages, comparisons, distributions, and basic summaries.
It compares the post-strategy period with previous behavior.
It does not formulate new strategies, make recommendations, or suggest decisions.
Result: a clear comparison between previous performance and the results obtained with the strategy.
How data is reconfigured
From scattered information to a useful interpretation.
Reconfiguring data means more than arranging columns. In the strategic path, history is first reviewed, a baseline is established, and the information needed to evaluate change is defined. If the client already has correct metrics and only wants to study the past, this reconfiguration may not be necessary.
Input
Business data
Sales, customers, dates, products, tickets, records, or other available sources.
Output
A new way to measure
A measurable strategy or, in the historical option, a report of the available past.
Strategic analysis and data reconfiguration
Reformulating the strategy requires understanding how real customers behave.
Knowing how many sales occurred is not enough. Reformulating a strategy requires observing who purchased, how much they purchased, when they returned, what they bought next, what they stopped buying, and which signals show whether the customer relationship is growing, declining, or weakening.
With that interpretation, the current strategy is reviewed and reformulated according to the most recent behavior. Then, new data to record or compare is defined so the changes can be verified.
Statistical analysis and data reconfiguration
After reformulating the strategy, it must be possible to measure it clearly.
This measurement begins after the strategic analysis and after the strategy has generated new data. DMTEI organizes, calculates, and presents the comparison between the later period and the historical baseline through easy-to-understand charts, percentages, and summaries.
Its function is to show whether indicators changed compared with the past. It does not predict results or measure the future before it happens: it measures new data as it is generated and compares it with the previous period. New strategic recommendations are not part of this service.
What is and is not included
A clear separation prevents incorrect expectations.
To evaluate a strategy, each service has a different function: strategic analysis interprets history and formulates the change; statistical analysis measures later results against that baseline. Independent historical analysis is different: it only describes existing past metrics.
Strategic analysis does interpret
It looks for relationships, changes, and behaviors that can help formulate tactics and strategies adapted to the business.
For evaluating a strategy, it comes afterward
Measurement begins once the strategy has been defined, implemented, and produced results that can be compared with the past.
Historical analysis is another option
It can be contracted separately when the client already has prepared metrics and only wants to describe or compare past information.
Quality depends on the source
Incomplete, duplicated, or inconsistent data can limit the result. Part of the process is detecting those conditions.
Not everything requires AI
Reconfiguration can be performed with rules, calculations, visualization, and appropriate tools. Technology is used according to the real need.
Human attention still matters
Technology helps organize and process information, but customer relationships and business decisions still require human judgment.
Process
To verify a strategy, it is formulated first. Then its results are compared.
This path follows a logical order. First, the business is understood, history is analyzed, and the strategy is formulated. After implementation and the collection of new data, a statistical comparison with the previous period is built.
Understand the current strategy
We review what the business is trying to achieve, how it currently works, and which data it uses to evaluate results.
Analyze behavior
Customers, purchases, recurrence, changes, and other available variables are studied to understand what is happening.
Reformulate and redefine
The strategy is reformulated, and the new data worth tracking is defined to determine whether it works better.
Measure as a complement
Once later results exist, statistical analysis compares them with the past and presents them in an easy-to-understand format.
How the project is delivered
The information is delivered in a private, clear, and always-available space.
The result is not limited to scattered files. It is delivered on a username-and-password-protected web page prepared for reviewing the information from a phone, tablet, or computer.
The visualization is designed especially for computers, large monitors, and projectors, where charts, comparisons, and summaries can be reviewed more clearly during meetings or presentations.
Practical access: the user can access their information without depending on a single computer and review results from whichever device is available.
Frequently asked questions
Real questions before working with your data.
These answers explain the difference between formulating a strategy, measuring its later results, and performing a statistical analysis dedicated only to historical data.
It is delivered on a private web page protected with a username and password. Summaries, charts, comparisons, and other project information are organized there so they can be reviewed without depending on scattered files.
Yes. Access adapts to different devices. It can be viewed from a phone or tablet, but the visualization is specially prepared for clearer viewing on computers, large monitors, and projectors.
Strategic analysis uses historical metrics to formulate a strategy and define what should be measured. Subsequent statistical analysis compares new results with that past. There is also an independent historical statistical analysis for clients who already have prepared metrics and only want to study previous information.
It depends on the project. Data may include sales, customers, dates, products, transactions, categories, branches, campaigns, internal records, or other variables related to the question being answered.
Not necessarily. The information may exist in spreadsheets, exports, or current systems. First, we review whether the available structure allows sufficiently clear work.
Part of the reconfiguration service is precisely to reorganize information. However, some source problems can limit the analysis, such as incomplete records, missing data, or identifiers that do not allow information to be connected.
It can formulate tactics and strategies based on the available data, but there is no automatic guarantee of results. Final decisions also depend on pricing, operations, capacity, market conditions, and factors that may fall outside the analyzed information.
It includes descriptive summaries, charts, percentages, and comparisons. In subsequent measurement, it shows the strategy against the previous period; in the historical option, it only describes the past. It does not include recommendations, tactics, or a new strategy.
Yes, provided that you already have defined metrics and sufficiently organized historical data for analysis. In that case, only a descriptive statistical analysis of the past is performed, without data reconfiguration, strategic formulation, or measurement of a new strategy.
It depends on the amount and condition of the information, the number of variables, the depth of analysis, and the delivery format. Timing is defined after reviewing the material and objective.
The price depends on data volume, the work required to organize it, the number of relationships between variables, the depth of analysis, and the delivery format. Not every project requires the same amount of work.
The tools depend on the project. They may include spreadsheets, databases, visualization systems, automated processes, and other technologies. They are chosen according to need, not trends.
Not necessarily. A project may be a one-time delivery or may later connect with update systems, depending on the data source and agreed scope.
It depends on the objective. To improve a strategy, the starting point is strategic analysis. To measure an already formulated strategy, the historical baseline and later results are reviewed. To analyze only the past, you should indicate which metrics you already have and provide prepared data.
Related solutions
Data can also be connected with other systems.
Depending on the project, reconfiguration can be complemented with digital systems, websites, campaigns, or internal consultation tools.
Independent option
Do you only want to understand your previous data? That is also possible.
If you do not want a new strategy and do not need to reconfigure how your data is recorded, you can purchase only a historical statistical analysis. This option works exclusively with past information and presents what already happened through figures, charts, percentages, and comparisons.
To perform it, the client must already have the metrics they want to study and enough data to calculate them. In this option, DMTEI does not define a new strategy, create new metrics, or reorganize the information structure.
The metrics already existThe client knows which indicators they want to review.
Requirement
The data belongs to the pastPreviously recorded periods are analyzed.
Scope
Does not include reconfigurationThe information must be sufficiently prepared for analysis.
Requirement
Does not include strategyIt describes and compares results but does not recommend what to do.
Limit
DMTEI
First, better understand what you already have. Then decide what to do with it.
Tell us whether you want to formulate a strategy, measure its results against the past, or analyze only historical metrics you already have prepared. The scope is defined according to the objective and the actual condition of your data.