

Data Management Sevices
We leverage our extensive experience in data management to help organizations establish a robust Data Management Office (DMO).
Establishing a Data Management Office (DMO), and creating a data strategy involves several steps. Our consultants will be responsible for guiding your organization through this process, ensuring that the DMO office operates efficiently, aligns with the business objectives, and compliance with the National Data Index (NDI).
Data Maturity Assessment
We evaluate the level of maturity and rank the practices for handling the data and put in a data strategy plan to improve data capabilities by following tasks:
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Evaluate critical data management activities.
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Educate stakeholders about concepts, principles, and responsibilities.
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Establish a sustainable enterprise-wide data management program.
Ask the data, will ensure that data is managed properly, according to NDMO,NDI policies, and best practices by following:
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Enable organizations to manage their data as an asset.
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Develop and implement principles, policies, metrics tools, and responsibilities for data management.
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Monitor and guide compliance.
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Data Governance
Data Quality
We provide a comprehensive approach to ensure data is reliable and trustworthy by:
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Define data quality strategy.
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Define standards, requirements,
and specifications for data quality. -
Develop and deploy data quality operations.
Empower your business with smarter decision-making, streamlined operations, and enhanced business performance, we will help to:
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Develop a BI strategy plan and use
cases. -
Ensure security and governance are achieved throughout the data lifecycle.
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Educate and train employees.
Business Intelligence (BI)
Open Data
Ask the data, will ensure that open data is managed properly, according to NDMO, NDI policies, and best practices by:
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Develop an open data plan, roadmap,
and needed resources. -
Develop and implement appropriate
open data processes classification,
publishing, and maintenance. -
Training and awareness about open
data.
We provide a comprehensive approach to ensure a well-structured data model tailored to your organization’s specific needs by:
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Identify gaps between the existing data
model and the targeted data model. -
Develop conceptual, logical,
and physical data models. -
Maintenance and optimization of the
performance, versioning, and documentation.