-
Want to gather data
across the channel/sysem,
and avoid data silos -
Draw insights from increasing
available data -
Better efficiencies with
AI/Semantic approach -
Support the right changes
in the environment in a
digitization demand
Want to gather data across
the channel/sysem,
and avoid data silos
the channel/sysem,
and avoid data silos
-
- Data Hub/Data Preparation
-
- Want to integrate all the internal/external data into one.
- Want to have a data backet which can correlate any data.
- Avoid process to normalize data before putting into RDB.
- Want to effectively exploit data that is not suitable for RDB.
-
- Data management (customer data)
-
- Deepen cutomer engagement by capitalizing on the right data to personalize offers at every touchpoint.
- Bring customer data together across channels; avoid data silos.
-
- Data management tool for
sales information -
- Want to orchestrate customer data.
- Want to manage customer information with dashboard.
- Avoid data silos. Want to have a possible insight from internal and external data.
- Data management tool for
-
- Unified Data Management
-
- Want to unify data which exists in a multipe systems.
- Want to manage data by adding meaning into it and recognizing relationship between data.
-
- Data management
-
- Retrieve data across the system/channel.
- Put all the data into database and think what to do with it later.
- Create new "Data lake."
- Difficulties managing multiple "data mart."
- Create continuous "Data hub."
Draw insights from increasing
available data
available data
-
- Data analysis/
Drive business value of data -
- Want to exploit data as it is.
- Want to gather data from the web site.
- Want to gather data from SNS, and use it for marketing, KYK, etc.
- Data analysis/
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- Effectively exploit XBRL data
-
- Want to exploit data from Corporate Governance report, EDINET, etc.
- Want to exploit data from IR/Corporate governance report, Financial report.
-
- Data Analysis
-
- Want to have analytical output from knowledge of others.
OpenCanvas -
- Recognizing Relationships between data
-
- Want to recognize relationships between data. (internal data, documents, etc.)
- Want to analyze data by multiple perspective.
Better efficiencies with
AI/Semantic approach
AI/Semantic approach
-
- Correlate data assets by leveraging
the relationships in data from
all relevant sources -
- Having a hard time for data preparation and analysis. (data to input into BI tool, SAS,etc.)
- Want to react rapidly to the update of data from the IoT devices.
- Want to recognize two data set which has same meaning but different data keys.
- Want to orchestrate data across the channel/system.
- Want to gather Office files from all the file server.
- Correlate data assets by leveraging
-
- Search Document
-
- Want to search by one common keyword.
- Data or documents related to customer are not unified.
-
- Improve data collection processes
-
- Business problem; It takes human resource to collect data.
- Want to reduce time to use search engine to gather information.
- Want to avoid missing relevant information.
- Want to have web crawler which automatically tracks Internet pages and collect data.
Support the right changes
in the environment in
a digitization demand
in the environment in
a digitization demand
-
- Improve data silos
-
- Flexibility to the change in data and deploy anywhere.
- Seamlessly connects with existing networks/systems.
- Wanto to integrate datawarehouse at a rapid pace.
-
- Draw insights from customer data
-
- Want to update customer information on time.
- Want to update merchant screening information.
-
- Drive new businesses
-
- Want to drive innovation.
- Want to minimize cost.
OpenCanvas
NTTDATA Corporation
ABLER Promotion Group,
Financial Global IT Services Division,
First Financial Sector