DATA GOVERNANCE
DATA QUALITY
DATA CATALOGS
You cannot govern data that you cannot name, identify, or locate.
DATA PRIVACY
Data Privacy is focused on the permissible use of data by people and systems.
END USER COMPUTING
End user Computing (EUC) is the processing of data by business units outside of systems supported by IT
ADVISORY & IMPLEMENTATION
Once you’ve launched your Data Governance program you will start to navigate the twists...
REFERENCE DATA
Reference Data – also known as “code tables” – is a vital but often overlooked area.
ANALYTIC MODEL GOVERNANCE
Analytics is an area that needs governance.
DATA GOVERNANCE
Data is the most valuable resource in the modern economy. This value can be unlocked with reporting, analytics, machine learning, and artificial intelligence to drive increased revenue, achieve business strategy, improve efficiency, and reduce risk. Yet all too often we focus on the technology that extracts the value from data, rather than the data itself.
DATA QUALITY
Data Quality has always been a significant concern in Data Management. At Data Millennium we see Data Quality as being composed of four components:
- Data Quality Literacy
- Data Quality Monitoring
- Data Issue Management
- Data Change Management
DATA CATALOG
You cannot govern data that you cannot name, identify, or locate. Data catalogs are the response to this need.
DATA PRIVACY
Recent years have seen the adoption and strengthening of laws and regulations designed to protect Personally Identifiable Information (PII). Enterprises have struggled to adapt to this new reality.
END USER COMPUTING
End User Computing (EUC) is the processing of data by business units outside of systems supported by IT. It tends to have a negative perception from IT and Operational Risk Management.
ADVISORY & IMPLEMENTATION
Once you’ve launched your Data Governance program you will start to navigate the twists and turns of your Data Governance journey. Will you be able to deal with unexpected challenges and sudden expectations?
REFERENCE DATA
Reference Data – also known as “code tables” – is a vital but often overlooked area of data that has its own specific governance and management needs. Examples include Country Code, Product Type, Transaction Status.
ANALYTIC MODEL GOVERNANCE
While Data Governance is focused on data as an enterprise asset, analytics is a very closely related area that also needs governance.
OUR OFFERINGS INCLUDE:
BUILDING AND IMPLEMENTING DATA GOVERNANCE OPERATING MODELS
This can be for completely new data governance programs, or for refreshing existing programs.
IMPLEMENTING DATA CATALOGS AND RELATED METADATA TOOLS
We provide methodologies that drive adoption and business-meaningful outcomes.
ANALYTICS REQUIRE DATA TO BE TRUSTED
Data quality and business semantics are necessary to ensure data is correct and to understand what it means. We have very detailed methodologies in both these areas.
DATA GOVERNANCE MUST SUPPORT MODEL GOVERNANCE, INCLUDING BI, ANALYTICS, ML, AND AI
We offer significant experience in building the processes that are required.
FOR LEGAL ASPECTS OF DATA MANAGEMENT
We promote an approach that combines regulatory needs, such as data privacy, with contractual aspects, such as dealing with restrictions placed by data vendors.
POLICIES AND STANDARDS FOR PROPER DATA MANAGEMENT ARE ESSENTIAL
We provide techniques to formulate and manage these directives, as well as methodologies to drive successful communication and change management to ensure they are complied with.
CONTACT OUR TEAM OF EXPERTS
Don't Hesitate To Connect With Us!
Please use this form and we will get back to you as soon as possible.