Our specialized service focuses on high-quality data architecture, allowing your organization to excel in key areas such as operational efficiency, information security, and regulatory compliance.
Beyond customer reachability, our comprehensive approach provides a 360-degree view of your data. This empowers all areas of your business, from risk management to marketing, for strategic decision-making and optimal operation.
A robust data model is not an extra, but a strategic imperative
Focus on Relevant Data
The model focuses on exposing the most relevant customer data, providing a clear and precise view of the information that really matters.
With the right information at hand, segmentation and personalization become more efficient. This enhances marketing strategies, streamlines collection processes, and optimizes sales and operations.
Adaptability to Business Goals
We understand that business objectives are constantly evolving. Therefore, we adapt the data model logic to always be in tune with the goals and visions of your company.
Integration and Up-to-date Data
Our model seamlessly integrates with your existing systems, ensuring a smooth transition and efficient implementation for always up-to-date data.
The security of your data is our top priority. We implement cutting-edge security protocols to protect your customers’ information.
- Data Collection:
- Internal team feedback is gathered to identify areas for improvement.
- Data is collected from various sources, such as CRM, sales systems, contact lists, databases, surveys, among others.
- A complete picture of the customer is sought, including demographic, behavioral, transactional, and interaction data.
- Data Cleaning and Preparation:
- Duplicate data is removed, errors are corrected, and gaps are filled.
- Data is transformed and structured to be coherent and ready for analysis.
- Data Integration:
- Data from different sources are integrated to have a unified view of the customer.
- Tools like Data Warehouses or data integration platforms can be used at this stage.
- Analysis and Segmentation:
- Data is analyzed to identify patterns, trends, and customer segments.
- Model Creation:
- The customer-centered data model is built using appropriate tools and techniques.
- This model will help predict behaviors, identify opportunities, and personalize interaction with the customer.
- Implementation and Integration:
- The model is integrated into the existing systems and processes of the company.
- This may include recommendation systems, automated marketing, sales, and customer support.