Protecting Your Most Valuable Asset, Data.

Enterprise Data Governance: Establishing Control & Integrity

We develop and implement tailored policies, standards, and processes to guarantee the quality, security, and compliance of your data throughout its lifecycle.

No Job is Small for Us

Don't Wait! Let's Connect

Reshaping Data Management for Maximum Business Value

Data is the ultimate intangible asset that helps us operate, gain insights, make decisions, and create value . Strong data governance is the core of data management to maintain control and create business value.

Data Governance is the set of policies, standards, and practices that define how data is collected, stored, accessed, and used within an organization. Data Governance helps to ensure that data is accurate, consistent, secure, and compliant with regulations and business rules. Data Governance also enables data-driven decision-making, innovation, and value creation for the organization.

InstaMart’s data science services focus on implementing a precise data classification process based on sensitivity, providing insights into data storage locations. Through data scans, we extract metadata defining corporate data origins, storage, access restrictions, confidentiality management, and security provisions. This service is a strategic guide for developing robust enterprise data governance and management programs, addressing gaps, and protecting assets against evolving data security threats. Enhance your data security measures with our streamlined and effective data governance services.

Trusted By

Our Service Catalog

Data Governance Reporting Platform
Data Governance Artifacts
Steering Committee Setup
Data Catalog and Reporting
Process and Support Documentation
Enterprise Data Diagrams
33%
Our Service CataLog
Discount
For All Purchases
Above $15000.00
Offer Ends Dec 31st, 2023
Our Engagement Model : How It works

No Job is Small for Us

We accept payments once Issue is closed.
1
Assess
Understand goals, audit practices, and define scope.
Implement
Secure, reliable data governance framework.
2
Oversee
Establish roles, train, and set up governance committees.
3
Insights
Leverage data for actionable insights and improvement.
4

Video Tutorials

Our Founder's Clients Love Us

“They are pleasure to work with.”

5/5

Matt Singer

CEO

“They care about our system as much we do.”

5/5

Ricardo boggs

Director, IT

“They brought in the best support to us.”

5/5

Kumar Mankala

Advisor, AI/ML Program at SCE

Implementing an Ideal Data Governance Process

Ideal Data Governance Process

Strategically Aligned

The data governance process should be aligned with the overall business strategy of the enterprise. This means that the process should be designed to support the business goals and objectives.

Scalable

The data governance process should be scalable so that it can be adapted to the changing needs of the enterprise. This means that the process should be flexible and adaptable to new technologies and changes in the business environment.

Transparent

The data governance process should be transparent so that all stakeholders can understand the rules and procedures that govern data management. This means that the process should be well-documented and communicated to all stakeholders.

Efficient

The data governance process should be efficient so that it does not add unnecessary overhead to the business. This means that the process should be streamlined and optimized to minimize the time and resources required to manage data.

Effective

The data governance process should be effective in achieving its goals. This means that the process should be designed to improve the quality, accuracy, and compliance of data.

The Steps to Implement

Establish a data governance framework

The first step is to establish a data governance framework. This framework should define the roles and responsibilities of the data governance team, as well as the policies and procedures that will be used to manage data.

Identify and assess data assets

The next step is to identify and assess the data assets of the enterprise. This includes understanding the type of data that is collected, where the data is stored, and how the data is used.

Develop data governance policies and procedures

Once the data assets have been identified and assessed, the next step is to develop data governance policies and procedures. These policies and procedures should be designed to ensure the quality, accuracy, and compliance of data.

Implement data governance solutions

The next step is to implement data governance solutions. These solutions can include data quality tools, data security tools, and data compliance tools.

Communicate data governance policies and procedures

The final step is to communicate data governance policies and procedures to all stakeholders. This includes employees, customers, partners, and regulators.

Effective Data Governance can Help Businesses in a Number of Ways

Take the step now  and reach us to rebuild trust in your data in your user community.

Disclaimer: The content provided herein is for informational purposes only, and we make every effort to ensure accuracy and legitimacy. However, we cannot guarantee the validity of external sources linked or referenced. If you believe your copyrighted content has been used without authorization, please contact us promptly for resolution. We do not endorse views expressed in external content and disclaim liability for any potential damages or losses resulting from their use. By accessing this platform, you agree to comply with copyright laws and accept this disclaimer's terms and conditions.

@2023 InstaMart.AI Inc. All rights reserved.

Artificial Intelligence | Daily AI News, How Tos and AI & Data Services
Logo
CONTACT US