Data Quality & Governance
Poor data quality impedes an organization from leveraging its information assets effectively. When data is inaccurate, inconsistent, or incomplete, it compromises decision making, adds risk, and introduces inefficiency. And when data ownership and lineage are unclear, no one is accountable for fixing the problem. We believe a robust Data Quality and Governance program is a critical component in an Information Management strategy because it enables the organization to make rapid, accurate, information-driven decisions.
Our Data Quality and Governance services have four components:
Selecting and establishing a governance operation model The first step is to create an operational model to provide oversight and stewardship for data quality within your organization. The model must address people, process, organization, and tools and technology. We share various proven operating models and help you design one that meets the specific needs of your organization. Importantly, we provide the mentoring necessary to establish the organization and train your personnel in becoming successful data owners and stewards.
Establishing priorities and standards Our counsel in setting priorities for the Data Quality and Governance team is to focus efforts on critical subject areas that will have the most business value and impact. Don’t “boil the ocean,” as they say. Key reference data (master data) is the best place to start. We recommend you implement Data Quality and Governance incrementally, which confirms your approach and lets you build on successes. We help you create this plan and establish quality standards that solve known business problems.
Design and implementation of the Data Quality and Governance process Our implementation approach includes processes to both cleanse the data initially and “keep it clean” going forward. We build in mechanisms to monitor and report improvements in data quality as part of the process.
Selection and implementation of Data Quality tools and technology Ajilitee has an extensive background helping organizations implement Data Quality architectures, and we possess experience with all the industry-leading tools and technologies. Our methodology includes a structured selection process to ensure you make the right decisions.
Data Quality and Governance is tightly wedded to Master Data Management, and we often find a discussion of one includes the other. Our depth and expertise across the complex Information Management landscape makes us an excellent partner for an integrated IM strategy.
