This is usually the first step in the process of Business Intelligence. We will help you collect data from various sources and store it in a structured format. This data can be used for further analysis and reporting.

This service include integration with your infrastructure, third-party APIs, web scraping, and more

Data cleaning is the process of preparing data for further analysis. We will help you clean your data and prepare it for further analysis.

This service includes:

1. Removing duplicate data
2. Removing invalid data
3. Removing incomplete data
4. Removing outliers
5. Standardizing data
6. Normalizing data

Data aggregation is the process of combining data from multiple sources. Having a single place to store all your data makes it easier to analyze and report on it.

This service includes:

1. Combining data from multiple sources
2. Building a data pipeline
3. Standardizing data
4. Normalizing data

Data management is the process of keeping your data up to date. All the previous steps are useless if your data is not up to date. This service will make sure that you always have the latest data, ready for analysis.

This service includes:

1. Updating data regularly
2. Removing outdated data
3. Data Cleaning Automations
4. Data Aggregation Automations

Data Analysis is actually the main goal of all the previous steps. We will help you analyze your data and provide insights.

This service is tailored to your specific needs, and it involves a collaboration between our team and yours.

We try to understand your business and your goals, so that we can provide the best possible insights.

This service includes:

1. Understanding your business
2. Understanding your goals
3. Understanding your data
4. Providing insights
5. Building Reports
6. Writing custom scripts to analyze your data

Anomaly detection is the process of finding anomalies in your data.

Some businesses require are more sensitive to anomalies than others, and they need to be notified as soon as possible.

For instance, financial institutions should check for anomalies in their data constantly, to prevent fraud, and to protect their customers.

Healthcare institutions should check for anomalies, to spot diseases early.

This service includes:

1. Detecting anomalies in your data
2. Notifying you when an anomaly is detected
3. Building custom anomaly detection algorithms