# Unexplored data: transform your IS into a discovery engine with Carto-SI

Today, data is at the heart of strategic business decisions. Yet much of it remains unexplored, leaving a treasure trove of information untapped. With data management software like Carto-SI, you can unlock the potential of this unexplored data and turn it into a valuable source of value. This article takes you through the process, explaining data types, qualification, reliability and data management principles.

## The difference between unexplored and unexploited data

Before going any further, it’s important to differentiate between **unexplored and unexploited data**:

- **Unexploited data** is data that is collected and stored, but not used in decision-making or operational processes. The problem here lies in valuing it.
- **Unexplored data**, on the other hand, is information whose potential has yet to be discovered or investigated. This data is sometimes visible, but requires a proactive approach and specific tools to reveal its value.

Carto-SI is positioned as a key tool for revealing this data, thanks to its mapping, visualization and flow analysis capabilities.

## Data types: a basis for structuring your efforts

To manage data properly, it’s essential to classify it according to its nature. Here are the main categories of data to be aware of:

### 1. Structured data

This is information organized in relational databases (such as CRMs). They are easy to query and exploit. Examples: customer lists, sales data.

### 2. Unstructured data

This includes text files, videos, e-mails or messages on social networks. Although rich in information, this data requires specific tools for analysis, such as artificial intelligence algorithms.

### 3. Semi-structured data

This data combines organized and unorganized elements. For example, application logs or XML files. It represents a bridge between the two previous categories.

With **Carto-SI**, you can map these different types of data to understand their interactions, identify their dependencies and reveal those that have not yet been explored.

## How do you find and qualify your unexplored data?

Unexplored data represents hidden opportunities. Identifying them requires an organized approach:

1. **Audit your IS**: Carto-SI’s multi-layer mapping enables you to audit data flows between your systems. You can quickly identify areas where data is circulating but not being used.
2. **Qualify data** : Qualification involves analyzing the usefulness, relevance and value of data. With Carto-SI, you can assess their strategic importance by visualizing their impact on business processes.
3. **Explore unexplored data** : Use impact studies to investigate under-utilized data. For example, data exchanged between applications, system logs or IoT files can reveal anomalies or trends.
4. **Ensuring data reliability and integration** : Once data has been identified and qualified, it is crucial to make it reliable by correcting errors and eliminating duplicates.

## The fundamental principles of unexplored data management

To get the most out of your unexplored data, it’s important to follow these principles:

1. **Centralization** : Gathering all information in a single repository is essential to avoid information silos and optimize collaboration. Carto-SI facilitates this centralization by enabling technical and business teams to document their data in a single, universally accessible tool.
2. **Accessibility** : Useful data is accessible data. It’s not enough for it to be documented, it must also be easy to visualize and understand for all users concerned. Carto-SI’s intuitive interface enables technical and business teams to locate relevant data. By making this information available and understandable, Carto-SI encourages better use of data, whatever the user’s profile.
3. **Security**: Data documentation calls for heightened vigilance when it comes to security. This sensitive and strategic documentation must be protected at all costs. Carto-SI offers standards-compliant deployments to secure this information, whether in the cloud or on site. This approach guarantees optimum protection while complying with current regulations.
4. **Proactive exploration**: Unexplored data often conceals hidden opportunities. Revealing them requires a proactive approach. With its interactive dashboards, Carto-SI helps users to analyze data flows, detect anomalies or identify untapped opportunities. For example, a proactive analysis could reveal bottlenecks in a process, or highlight neglected sources of data that could generate value.
5. **Quality and reliability**: Reliable data inspires confidence and guarantees informed decisions. Making data reliable is therefore central, particularly in demanding regulatory contexts such as the RGPD.

## Why is data reliability essential?

Making your data reliable is not just a technical step, it’s a strategic necessity. Here’s why:

- **Error reduction**: Inconsistent or incorrect data distorts analyses and generates additional costs.
- **Regulatory compliance**: Complying with standards such as RGPD protects the company from legal sanctions.
- **Optimization of resources**: Reliable data helps avoid unnecessary expenditure on storage or maintenance.
- **Improved decision-making**: Reliable, well-structured data reinforces confidence in the analyses and insights generated.

## Case study: data reliability through information systems mapping

Let’s take the example of a company in the banking sector wishing to improve the quality of its customer data to comply with regulatory standards and better target its marketing campaigns. The company decides to use **Carto-SI** to map its information systems and locate where its critical data is stored.

The results of this approach are as follows:

- **Identification of duplicates and inconsistencies**: By cross-referencing databases from different systems (CRM, claims management tool, archiving database), the company was able to identify duplicates and contradictory customer information.
- **Reduced risk of non-compliance**: By locating precisely where sensitive data (such as personal data) was stored, the company was able to ensure that its processing complied with RGPD requirements.
- **Optimization of data flows**: By understanding how data circulated between its various tools, the company corrected redundancies and optimized its processing procedures.

As a result, the company has increased the reliability of its customer data, reduced regulatory risks and increased the effectiveness of its marketing campaigns by 15%, thanks to better segmentation.

## A short introduction to dark data

### Dark data: understanding its hidden potential

**Dark data** represents a significant proportion of the information collected by companies but left unused. According to a Gartner study, it can make up as much as [80% of an organization’s data](https://www.datagalaxy.com/fr/blog/les-mysterieuses-dark-data-en-entreprise/). This data, although stored, is neither analyzed nor used in business or decision-making processes.

Dark data includes system logs, data from IoT sensors, archived e-mails and unused customer information. What differentiates dark data from unexplored data is that it is **stored without a clear strategy**, or sometimes even forgotten, whereas unexplored data may already be visible, but requires a proactive approach to reveal its value.

With software like **Carto-SI**, it’s possible to bring this dark data to light, thanks to a complete mapping of systems and information flows. For example, by identifying unused logs or rarely queried databases, Carto-SI can reveal hidden strategic opportunities.

### Why does dark data deserve your attention?

1. **Strategic opportunity**: Dark data can contain essential information for optimizing processes or identifying new trends.
2. **Risk reduction**: Dark data may contain sensitive data (e.g., personal data) that needs to be secured to avoid legal sanctions.
3. **Cost optimization**: Identifying and managing dark data frees up unused resources, whether in terms of storage space or processing capacity.

Using tools such as Carto-SI, you can analyze dark data, assess its relevance and integrate it into data flows to maximize its value.

## Conclusion: Carto-SI, the essential tool for exploring your data

Unexplored data shouldn’t be a brake on your growth, but a source of opportunity. With data management software like Carto-SI, you can map, analyze and explore this data to reveal its full potential.

Investing in proactive data management with high-performance tools guarantees not only better decision-making, but also sustainable, strategic performance.