Data Analysis (AtomDMP)

If You

• Have or want to collect valuable data related to your business,
• Want to comply with data protection regulations while doing so,
• Want to analyze these data in context,
• Want to make appropriate sales and marketing decisions based on this,
• Want to increase your revenue as a result,

But

• Don't have a team for analysis,
• Don't have the capacity to set up and continuously update the database,
• Want to make the database and data analysis process scalable,
• Don't have the budget for expensive software and don't want to deal with it,
• Don't have the IT / data analysis knowledge for these tasks,

Then We Can Help

• Design the data structure,
• Build the CDP database and connect it with data sources,
• Create automated analyses and project-based analyses if needed,
• Based on the analyses, suggest improvements for marketing and sales activities.

What Are Our Advantages?

Scalability, Complexity

• Runs on Google database, cloud-based - infinitely scalable, self-scaling
• Cloud-based scalability - no size limits, any size database can be built
• Supports building any number of data entities - complex data structures can be implemented
• Entity management (e.g., customer-advertising company-employee / NFT-user-advertiser, can match who to sell to, open based on profile)
• Capable of quickly and efficiently handling projects with millions of data rows

Usability

• Internal, script-based query interface - easy to use for internal research
• Visual query option - for those who are less into numbers and statistics...

Self-Development

• Event-driven - self-expanding database after parameterization
• Has a matching system (data pairing, similarity checking) - intelligently builds and reacts to events

Customizability

• Supports building any data structure - flexible database construction
• Can build processes and quickly and efficiently transform built processes during operation - adaptable for corporate operation and complex event management

Integrability

• Native connection with other WnF products (email, survey, forms, etc.)
• API for full functionality (easy integration)
• Controllable via API - freely connects with other databases, controllable, and data can be uploaded from external sources via API
• Can control external software based on events via API - can trigger events externally as well
• Can initiate and execute external and internal processes based on events - does not stop at data collection, reacts immediately to appropriate indications

Price

• Some charge $1M USD per year for such a system (competitor products)

Queries

• Own script language / visual query interface
• Real-time queries
• Extensive statistics - helps in analyzing results and decision-making.

What Will Happen?

• The central software/system performs the basic functions, and marketing and sales processes can be modified at will in the future (emails and email processes, data structure, data sources). Thus, a new idea or experiment can be executed within hours or days, without waiting for development, then testing the completed development and discarding it if it doesn't work.
• If all relevant data is transferred to the CDP during the project, which plays a role in profiling, filtering, or exact matching, the CDP can select the exact matches, send email series or email notifications about them. Additionally, it allows administrators to initiate their queries in real-time via a web interface without programming knowledge.
• The analytics needed for the project's operation are received by the CDP from external analytical systems (e.g., Webb & Flow User Machine Analytics, internal portal events, or other tools).
• Atom CDP processes these analytical data, meaning it does not participate in collecting analytical data but organizes and evaluates them.
• The CDP segments users based on all available data. Effective user segmentation is one of the system's most important capabilities.