BigData Analysis


Indo-Sakura provide services by analyzing big data to support customers’ agility in response to environmental changes, cost reductions, compliance, and diversification of customer preferences and values in the customer’s business scene. We can also offer big data analysis with a global perspective by highly skilled Indian engineers, and verification services for customer-owned IT systems that utilize the analysis results.

The ability to analyze data to create new value is the source of competitive advantage. We support your business through big data analysis and system verification.

Case studies

Statistical processing program development using Hadoop
Technologies used
  • Spark, Hadoop
  • Logistics
  • BigData Analysis
  • Offshore Development
  • 1 Data Scientist
Spark, Hadoop
  • 3 Man months
Outline
The analysis program has already been created and run in the customer's office, but the operation is slow. Consultation proposal and program development for speeding up existing programs.
Requirement details
We struggled with limited delivery and remote communication with customers.
Proposed solutions
Because the delivery date was limited, we worked on holidays etc. as well. We also received some support from offshore personnel. Since the test environment was only at the customer site, I scheduled the next task while waiting for the results.
Keyword
Data Analysis, AIS Data, AWS
Result
Within the delivery time, we were able to achieve the speed expected by the customer or better.
Comment
Please contact our sales representative for details and consultation regarding this matter.
Big data analysis demo using AI
Technologies used
  • AWS, Hortonworks- Hadoop, Hive, Spark, Zeppelin, Python
  • Manufacturing
  • BigData Analysis
  • Offshore Development
  • PL (Japanese), Data Scientist (Indian) 2 people
AWS, Hortonworks- Hadoop, Hive, Spark, Zeppelin, Python
  • 4 Man months
Outline
We created a demo to appeal to customers the benefits of Hadoop. The contents of work are as follows. 1. Create a scenario using Hadoop 2. Building an Environment for Implementing Scenarios on AWS 3. Data preparation to realize the scenario 4. Build a demo based on a scenario 5. Document creation
Requirement details
We had a hard time getting data to create scenarios where content is easy for many companies to image benefits.
Proposed solutions
It was not possible to use your data under a confidentiality agreement. The scenario was struggling to get data as it was constrained by available data. In this case, we used the method of finding data from open source and analyzing it to identify the actual machine.
Keyword
AWS, Bigdata, AI Model, Predictive Analysis
Result
We were able to create a failure prediction model using actual machine data used by many companies.
Comment
Please contact our sales representative for details and consultation regarding this matter.
Big data Analysis platform
Technologies used
  • Hadoop, Hive,
  • Manufacturing
  • BigData Analysis
  • Onsite Development Model
  • Data Scientist (Indian) 1-2, Interpreter as needed.
Hadoop, Hive,
  • 21 manmonths
Outline
It was a project to build a data base using Hadoop to store a large amount of data flying from the battery of an electric car and connect it to data analysis. I was involved in planning and implementing PoC, and was in charge of construction and testing in a production environment.
Requirement details
It was often said that the customer's schedule could be seen just before the work began, and it was difficult to arrange highly skilled personnel.
Proposed solutions
We arranged personnel from both Japan and India, and at the time of the shift, we operated engineers in parallel so that we could carry over our know-how.
Keyword
Data analysis infrastructure construction, AWS, electric car
Result
We were able to keep people with advanced skills on hand and keep customers on time.
Comment
Please contact our sales representative for details and consultation regarding this matter.

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