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i-frame Kullanım Örnekleri

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From Data to Understanding, from Understanding to Action: Manage Big Data with i-frame

Data is today’s most strategic resource. But for this resource to be transformed into value, it must not only be stored, but also made sense of. i-frame provides a low-code, high-performance infrastructure for processing, analyzing and visualizing large data sets. With this powerful framework, businesses can make more informed decisions by transforming complex masses of data into meaningful insights.

Solution Contributions and Highlights

High Performance on Scattered Data

Data from dispersed sources is collected, analyzed and processed in a single structure. This is a critical advantage, especially for data-intensive industries such as manufacturing, logistics, finance and government.

Mapping Multilayer Data Relationships

The top and bottom relationship structures in big data are presented schematically. In this way, patterns, cause-effect relationships and correlations between data sets can be easily analyzed.

Real-Time Visualization

Thanks to dashboards customized according to the information required by each user, the right data can be accessed instantly. This structure increases data awareness among management and field teams.

Automated Query and Reporting Engine

Repetitive data analysis is automated thanks to low-code queries. Weekly reports, KPI analysis or anomaly detections are periodically prepared by the system.

Predictive Decision Making Processes

Trends learned from large data sets make it possible to develop insights into the future. i-frame offers a secure and flexible analysis space for such modeling and scenario studies.

Compatible and Flexible Integration

It can be easily integrated with ERP, CRM, IoT sensors, social media APIs or in-house data warehouses. This eliminates data silos and provides end-to-end visibility.

Security, Authorization and Traceability

Who viewed what, interfered with which data? i-frame platform provides clear answers to these questions. Traceability and audit capability, which is especially critical in areas such as finance, public and defense, are provided.

User Experience Bringing Business Units Together

Non-technical users can work with big data, while IT teams have the flexibility to customize, extend and manage the platform. This increases data literacy across the organization.

How to Manage Big Data with i-frame?

i-frame comes with an architecture that simplifies the management of multi-tier data structures and massive data sets:

It quickly imports information from big data sources and processes it reliably with optimized engines.

Dashboard components create meaningful visuals through tables, graphs and custom charts, allowing decision makers to develop intuitive insights.

It is ideal for analyzing hierarchies between data points and visualizing patterns. This structure creates value, especially in multi-layered decision processes.

Complex queries can be easily analyzed by simplifying them with a drag-and-drop interface. Users can work on data at high speed and do not waste time for strategic actions.

Unlike traditional data platforms, with i-frame, big data projects can be realized without the need for technical knowledge.

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