Turn Data into Information, and Information into Insights
Big Data Empowers Us and Makes Differences

Big Data Use Cases

Market Segmentation

Fraud and Compliance

Security Intelligence

Data Warehouse Offload

Price Optimization

Operational Efficiency

Recommendation Engines

Social Network Analysis

Maintenance and Support

Internet of Things

Treating with an enormous and massive volume of data so that the traditional tools and platforms can not deal with. Indeed, the most important characteristics of the each big data ecosystem are high VOLUME, high VELOCITY and high VARIETY and also their complexities while these gigantic volumes of information can be utilized to address business issues that you couldn’t able to handle with before.

The first challenge in most big data context that any company or organization can encounter with is collecting and handling the raw data. A good big data platform makes this step more simple and straightforward. Next step can be storing and retrieving any form of (semi-)structured and unstructured data in a secure, scalable and stable environment. Afterwards, we need to process and analyze these raw data into valued and understandable information. Ultimately, the obtained knowledge report and visualize for end-users, especially for decision-making process.

The evolution of the big data for processing a huge scale of data needs new approaches and tools to analyze and integrate. Machine learning and artificial intelligence help to build up big data models in order to explore hidden and invisible patterns.

Different types of analytics can be employed to address a problem:
Descriptive Analytics gives an understandable interpretation of available data To find existing issues and problems; Predictive Analytics use current facts and data to predict the future; Policy makers use Prescriptive Analytics to make right and proper decisions based on the obtained results.