SOLUTION
Data Governance, Compliance, and AI Ethics
Develop a Data Governance Model which defines policies and procedures around data ownership, data description, data quality, data access, data implementation, and data sharing.
WHAT WE DO
Challenges we solve
Improving Data Quality
Poor quality data is the number one reason for 40% of all business initiatives meeting their targets and can affect overall labor productivity by up to 20%. Our Data Governance services resolve data quality issues through a combination of interventions around people, processes, and technology.
Data Democratization
Data silos and lack of data sharing between departments and teams is one of the biggest hurdles in being able to leverage data as an asset for large organizations. We help you document and discover your data assets from siloed data stores through tools such as Enterprise Data Catalogs which act as the ground truth for your organization wide data assets.
Data Semantics and Lineage
Data governance provides a comprehensive view of where data is stored and how it is being used, including permissions that manage how and when data can be accessed.
Adherence to Compliance
Every business has regulations unique to its industry and often significant fines are imposed in cases of non-compliance. We help you meet compliance through Data Governance by establishing guardrails around your data that permeate across people, processes, and technology.
HOW WE DO IT
Addo’s Data Governance Playbook
Quickly, efficiently, and cost-effectively adopt Cloud based on your business needs, through pre-built Cloud adoption accelerators.
Data Governance Framework
Develop a Data Governance Model which defines policies and procedures around data ownership, data description, data quality, data access, data implementation, and data access and sharing.
Data Catalog and Lineage Tool
Ensure enterprise data is accessible and searchable with correct definitions so that it can be used to make business decisions.
Data Stewards Training
Assign data ownership to data stewards in the organization. Create a virtual academy for data stewards to understand how to easily review, correct and define data in a self-service tool.
Automated Data Corrections
Automatically check inaccurate data for quality, risk, and relevance through predefined scripts. Identify anomalies using AI.
Automated Compliance Management
Automate compliance processes with automated compliance checks and red flag escalations.
Our Areas of Expertise
Data Governance Strategy Formulation
We develop a holistic data governance strategy tailored to your organization’s business needs and best practices in the industry. This involves developing a Data Governance Model which defines policies and procedures around data ownership, data description, data quality, data access, data implementation, and data access and sharing.
Data Governance Council
Data Governance is operationalized through a target operating model (TOM) which defines the governance and controls around people, processes, and technology. We help organizations set up their target operating model and create a Data Governance Council composed of Data Stewards, Data Owners, and other Data governance roles.
Data Governance Training
We provide training to your team on how to leverage Data Governance tools to comply with your organization’s data governance policies. Our training is focused towards roles like Data Stewards, Data Owners, Data Engineers, Data Scientists, and also top level executive positions.
Data Governance Tools Setup
Data governance tools are analyzed on the basis of cost-benefit analysis to support the process. The tools are ranked considering their functional support for the procedure . It is essential to choose the tool that ensures successful data governance using industry standard protocols.
Enterprise Data Catalog Setup
Data governance is supported by data catalog as it maintains an inventory of data assets through the discovery, description, and organization of datasets. Data catalogs not only provide context to key stakeholders to find and understand data, they also automate metadata management and make it collaborative.
Master Data Management
Data governance sits on top of Master Data Management. MDM ensures that the data is understood by the business from a definitional, sourcing, quality, and accountability perspective. It is crucial that data governance is established early and incorporated into every phase of the project.
Our Data Governance adoption accelerators
Quickly, efficiently, and cost-effectively adopt Data Governance based on your business needs, through pre-built Data Governance adoption accelerators.
Enterprise Data Catalog
Data catalog maintains an inventory of data assets through the discovery, description, and organization of datasets. Data catalogs not only provide context to key stakeholders to find and understand data, they also automate metadata management and make it collaborative.
Enterprise Data Marketplace
Data marketplace gives a user the power to shop and curate all the data and equip the data owners with tools to curate, cleanse and trust over time what’s inside the datasets. The data catalog can become a living marketplace of any valued data within the company.
Master Data Management
Master Data Management ensures that the data is understood by the business from a definitional, sourcing, quality, and accountability perspective. It is of high importance that data governance is established early and incorporated into every phase of the project.
Reap the benefits of well organized, understood, governed, trusted, and protected data
Technology Stack
We are well-versed in the best-in-class technology stack for data governance.
- Informatica Enterprise Data Catalog
- Informatica Axon Data Governance
- Informatica Data Quality
- Azure Purview
- Azure Synapse Analytics
- Azure Data Catalog
- AWS Glue Catalog
- Talend Data Catalog
- Talend Data Stewardship
- Talend Data Inventory
Leverage our data governance framework to ensure the best use of your data!
Ready to discuss your project?