Data Governance

Data governance is a quality control discipline for assessing, managing, using, improving, monitoring, maintaining, and protecting organizational information.

Organizations make both operational and strategic decisions based on their data, and a better information environment will lead to better insight to enable better judgments, resulting in a sustainable competitive advantage. While leveraging data resources represents the greatest source of value, the mismanagement or misunderstanding can also represent substantial regulatory compliance and execution risk. An unsophisticated, unstructured approach to data management can lead to poor business decisions and results, greater exposure to compliance violations and potentially devastating risk. To address these issues, organizations need to build a single, accurate view of enterprise data.

Amitech Solutions helps our clients manage, leverage and protect their data as an enterprise asset. We view the primary mission of data governance as facilitating the link between an enterprises strategic initiatives and information resources. We combine proven business technologies, collaborative methods and best practices to support critical data-governance issues and ensure that these projects are linked with business requirements. We provide our clients the capability to leverage clean, trusted data can help their enterprises provide better service, cultivate customer loyalty and spend less effort complying with regulatory policies.

Amitech Solutions can help your enterprise Data Governance by employing:

• Change management—evaluates and approves proposals for change, implements business changes as needed, and monitors data usage and quality metrics, control silos of self-interest to benefit the common good of the overall company - produce more accurate and comprehensive information from and across the enterprise consistently over time
• Data quality— assesses the accuracy, integrity, cleanliness, correctness, completeness, and consistency of data in an to retain customers and drive new business opportunities
• Data security—addresses issues such as network security, physical control, systems logs, incident response, and security audit
• Data standards and architecture—provides the high-level design of the data environment and
• Data stewardship—assigns ownership of data assets to enable consistent data usage, maximize data quality, and ensure the integrity of business-critical information and ensures that individual data-centric projects will work together as a whole
• Metadata, master data, and reference data management— the ability to create, store, maintain, exchange, and synchronize a “system of record” for core business entities
• Program management/prioritization— the ability to manage multiple data-centric projects and the data environment to achieve defined objectives
• Reporting tools and support—establishes and manages the process of adding new reports, retiring old ones, measuring progress against objectives, and defining the metrics that support the governance initiative
• Resource management—establishes and manages project and program budgets and accountability