Using Microsoft Azure’s Data Platform, we provide the optimal data analysis infrastructure for our customers.
Data Analysis Infrastructure Development and Usage Service - Data for Insight -
Using Microsoft Azure’s Data Platform, we provide the optimal data analysis infrastructure for our customers. By using Azure’s PaaS, it is possible to make a small start with the minimum necessary database.
Service Overview
We provide a data analysis infrastructure for data integration and accumulation based on your business strategy. As an option, we can also provide overall support from the systemization concept to data planning, and report creation based on business execution using Power BI, etc.
Data Analysis Infrastructure Development
It is possible to easily start implementing or reforming analysis infrastructure. Our engineers, who have extensive experience and knowledge in the implementation of Azure, will support your needs.
- Data Integration
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We integrate and gather the data used for analysis from various data sources.
- Data Accumulation
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We accumulate the gathered data in appropriate analysis stores according to their characteristics.
Data Usage (Optional)
We support data planning in order to analyze data more efficiently and the creation of reports according to customer needs.
- Data Planning
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We plan and process the data for analysis and present the results using a visualization tool.
- Data Visualization
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We analyze and visualize the processed data appropriately according to their usage purpose.
Recommended for customers
- Data Analysis Infrastructure Development
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In-house data is decentralized.
Vast amounts of data have not been put into a database.
Infrastructure development has not caught up with increasing data volumes.
- Data Usage
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Data particle size is not unified.
You are not sure which data to use.
You are not sure how to visualize the data.
Service Menu
In addition to the basic data infrastructure development service, as an option JBS can also support our customers’ data planning and processing and report creation using Power BI.
Data Analysis Infrastructure Development
| Item | Products | Service Description |
|---|---|---|
| Database Development for Analysis | SQL Database SQL Data Warehouse |
By using Microsoft Azure for the application operation environment, you will be able to respond more easily and speedily to scaling out and scaling up. |
| Data Transfer and File Linkage |
Azure Functions Azure Logic App |
By combining the services of Data Factory (V2) and Azure, you will be able to realize functions on the same level as expensive transfer tools. |
| Application Monitoring Environment Development |
Azure Monitor Azure Application Insights Azure Logic App |
We support the development of a monitoring environment for the performance situation and usage situation of Azure services. (Alert function by e-mail, etc.) |
Data Usage (Optional)
| Item | Products | Service Description |
|---|---|---|
| Data Planning and Processing | SQL Server Management Studio SQL Server Integration Services SQL Server Analysis Services、DQS |
Data Planning By developing a multidimensional database for analysis, it is possible to reduce the number of data marts. This simplifies operations while allowing high level analysis. Data Processing We support the clarification and implementation of the image of the BI / DWH system that you need, including such areas as budget control, customer analysis, and visualization of information through dashboard implementation. |
| Report Creation | Power BI、Tableau SQL Server Reporting Services |
With a similar UI to Excel and an easy to understand display screen, the creation of standard reports without coding is possible. |
Please Enquire
- Data linkage server development using EAI / ETL products (HULFT, Attunity, etc.) other than Microsoft products
- Infrastructure migration from other company DB such as Oracle and DB2 to SQL Server / SQL Database
- Post-implementation maintenance and operation services (AMO)
What is Data for Insight?
Data for Insight is a service provided by JBS aimed at streamlining existing operations and improving the ability of a company to advance measures. By repeating the cycle of a phase to aggregate decentralized data into a database, phase to visualize the aggregated data using BI and AI, and phase to support the next IT strategy, customers are able to effectively utilize dormant data for business.
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