Master Data Management
Ensure the uniformity, accuracy, stewardship, semantic consistency and accountability.
The main products we support
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MDM
Informatica MDM, Stibo MDM, Salesforce CDP, and many others.
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ETL
Informatica DQ, Informatica IDMC, talend, and many others.
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Data Quality
Informatica DQ, talend, and many others.
Built with you in mind
We put your needs first, delivering services tailored just for you.
Quick setup
Effortless and straightforward installation process-
designed to save you time and energy, allowing you to concentrate on the tasks and goals that truly
matter to you.
Easy to use
Crafted for simplicity and ease of use, this design lets you accomplish tasks efficiently without wasting time or effort. By streamlining operations and minimizing
complexity, it helps you focus on what matters most,
achieving more with less stress.
Customizable
Our solutions are fully customizable, allowing you to
adapt every aspect to fit your unique requirements.
Whether you're working with specific preferences or
need advanced configurations, the flexibility provided ensures that you can modify features and settings to
align perfectly with your goals.
A suite of tools at your disposal
With a suite of tools at your disposal, you have everything you need to streamline tasks, enhance productivity, and achieve your goals efficiently.
Master Data Management
Master Data Management (MDM) is a process used by organizations to
create a single, consistent, and accurate source of key business data,
often referred to as "master data." This master data typically includes
essential information such as customer, product, supplier, and employee
data. MDM ensures that this data is consistent across different systems
and departments, helping to improve decision-making, reduce errors,
and streamline operations.
By centralizing and managing data in a controlled way, MDM supports
better data governance and ensures data quality, accuracy, and
accessibility throughout the organization.
ETL
ETL stands for Extract, Transform, Load, and it refers to a process used in data integration and data warehousing.- Extract: Data is gathered from various sources, such as databases, files, or cloud systems.
- Transform: The extracted data is then processed and transformed into a suitable format for analysis. This may involve cleaning, filtering, or restructuring the data.
- Load: Finally, the transformed data is loaded into a target system, such as a data warehouse or database, where it can be used for reporting, analytics, or business intelligence.
Data Quality
Data Quality refers to the condition of data based on factors such as
accuracy, completeness, consistency, reliability, and relevance.
High-quality data is crucial for effective decision-making, as it ensures
that the information being used is trustworthy and up-to-date.
Poor data quality can lead to errors, inefficiencies, and flawed insights.
By maintaining strong data quality practices, organizations can improve
their operations, ensure compliance, and enhance overall performance.
See things in action
coming soon...
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"Unleashing the true power of data requires empathy not just analytics."
Our History
Established in 2023
Our company was founded in 2023, marking the beginning of our journey toward innovation and excellence. Despite being a new entrant,
we are driven by a clear vision and a commitment to delivering outstanding value to our customers.
Contact us
We're here to help! Whether you have questions, need support, or just want to learn more about our services, feel free to reach out. We're always happy to assist you.
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201 New Life Shimurazakaue, 1-13-14 Shimura,
Itabashi-ku, Tokyo
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info@datamaven.co.jp
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+81 03-6820-2788