Big Data is attracting attention due to the growth of social media and the spread of knowledge generated
and used in various portable mobile devices such as smartphones.
This is because effective use of big data can enable new knowledge production and create socioeconomic value.
Currently, various big data are being used by foreign companies, and it is a future project that uses big data not only in the private sector
but also in the public sector, including the government.
A Tech provides data visualization services through customized consulting based on big data, machine learning, and analysis.
To help secure efficient management and decision-making through the data.
Building public
and private big data
centers and platforms
Development of customized
big data analysis
and utilization models
Big data visualization
solution development
Development of Hadoop
Solution for Parallel
Processing of Large-Capacity
Advanced analytics consulting based on big data helps companies and the public make the decisions they need.
It also provides a methodology for deriving business opportunities, developing new services, and generating results through big data analysis.
Establish a plan and method with a big data specialist to minimize business loss
Diagnose and plan a new product or service from the perspective of innovation and materialize/implement it with the real thing
Diagnose the current difficulties and pending tasks and systematically suggest ways to overcome them
We process internal and external data generated throughout management to derive insights, and manage data through infrastructure
to support practical performance improvement, decision-making and management efficiency.
Defining and designing
data for decision making
Collect formal data,
unstructured data,
and IoT (sensing) data
Data Acquisition
Data Preprocessing
Data Loading / Machining
Modeling by applying
machine learning, deep learning,
and various statistical/analytic
techniques to data and
analysis purposes
Easiest to understand
the implications are derived
in the form of visualization.
Big data can be used in manufacturing (equipment failure prediction, flexible production, etc.), medical (medical diagnosis and prediction),
financial institutions (new/customer departure), marketing (consumer trend), textile materials, biopharm, tourism, commercial, and transportation.
Summarize large amounts
of data using visual elements
to help you see it at a glance
Data visual analysis
captures market trends and
differentiates opportunities
Accurately understand
data and explore data based
on visual patterns in visual deliverables
Support data-driven
decision making by effectively
sharing data insights
