Diagnostic analytics

Diagnostic Analytics

Do you want to determine
the causes of what is happening in your business?

Diagnostic analytics helps analysts determine why a particular change or event happened in the data.

If your diagnostic analytics capabilities are falling short, it’s likely due to one of the following common obstacles:

Lack of understanding regarding the behavior of your data in the business context.

Difficulty finding hidden patterns, trends, and correlations in your data.

Late detection of anomalies in your data that may affect your business processes.

Absence of data segmentation models according to the operation of your business.

It does not establish data correlations to have a better understanding of the business.

Difficulty understanding the factors and events that led to results in past states.

DAECO's diagnostic analytics model allows you to resolve these obstacles

Let your business zero in on the factors that drive success or cause failure, including contributing factors that may not be obvious at first glance throught to diagnostic analytics.

The 3 stages in our
Diagnostic Analytics Model

Indentify anomalies

Identify the anomalies that cannot be explained by current understanding.

When be difficult to determine whether the results of descriptive analysis really show a new trend, especially if there’s a lot of natural variability in the data.

Data discovery

Drill into the data to look for previously unknow patterns.

We use multidimensional data structure, statistical algorithms, and the capacity to slice-and-dice, drill-through, drill-down, roll-up, etc., to find the problem's origin, patterns, tendencies, and relations efficiently and quickly.

Prepare the data

Determine causal relationships between patterns and anomalies.

Our further investigation can provide insights into whether the associations in the data point to the true cause of the anomaly.

We use a variety of techniques to provide insights into the causes of trends. These include:

Data drilling, drilling down into a dataset help us reveal more detailed information about which aspects of the data are driving the observed trends.


Data mining, we hunt through large volumes of data to find patterns and associations within the data.


Correlation analysis, with this we examine how strongly different variables are linked to each other.

Diagnostic analytics goes beyond simply illustrating key trends and patterns and seeks to identify their causes.

Looks at why something happened: what went wrong and what went right?

With DAECO´S Diagnostic
Analytical solution:

Provide context to a business problem and answer questions that can’t be answered simply by viewing dashboards and reports.

 

Identify anomalies, patterns, trends, and hidden correlations between variables and events to alert you to potential issues as they develop.

 

Get a better understanding of the internal and external elements that influence your results.

 

Ask the right questions.

 

Get answers according to unique difficulties and perspectives of your business.

 

Know your business processes.

 

Translate your complex data into visualizations and insights that everyone can take advantage of.

 

Make better-informed decisions about how to fix problems and drive
continued success.

We can help you to determine the root cause of an occurrence or trend.

By highlighting the factors that drive trends with a diagnostic analytics we help companies better understand variations in business performance and customer behavior.