Uncategorized

Axelle

In this digital era, almost all businesses shifting themselves into a digital business process. MARS helped Axelle to digitize all conventional business processes to cut complicated processes for both the business user and customers, to minimize human error, and to create a transparent business that will come in handy and trustworthy for both sides.

MARS helped Bank Mandiri to monitor the property growth in review and pricing day-to-day of properties in several regions in Indonesia. Crawled raw data is analyzed to maximize and ease the monitoring process as it also helps to make better business decisions.

MARS implemented the Internet of Things for the automated weather stations in Pasangkayu, North Sulawesi. The AWS is used to monitor real-time weather on specific agricultural areas to help the farmers to predict planting time, seeding time. The AWS provides to monitor real-time temperature, rainfall, humidity, air pressure, solar radiation, and wind direction. Other than

MARS conducted blueprint analytics to accelerate Data-Driven Technology and Culture Adoption at OpenRoad through developing a comprehensive blueprint of big data analytics roadmap and pilot implementation of big data infrastructure and analytics dashboard by defining Big Data Analytics Roadmap and Potential Use cases/projects for OpenRoad Business Ecosystem, recommend technology solution, until pilot implementation of Big

MARS gathered all data from various divisions of the Ministry of Agriculture and visualize it into dashboards to monitor agricultural indicators such as production, export, import, livestock, and many more.

MARS did modeling and prediction to see the probability of late payments of each member. By modeling the data with machine learning, BPJS could be more accurate in predicting and implementing payment reminders or programs as a marketing plan.

The training series conducted by MARS consists of Theory & Knowledge Fundamentals, Platform & Tools Utilization and Optimization, Practical–where the participants could try and practice, Practical Enrichment with real data of the company. Data Science training is delivered by the combination of in-house trainers and industry experts. The training series itself is followed by Capstone