Data quality & governance |
Data governance processes help to manage the quality, consistency, usability, and security of data. Without a governance strategy, it is difficult to know what data exists, whether it is available, and to use it to full advantage. The lack of a governance process also means that data is more likely to be at risk of theft or loss since, without one, most organizations don’t have visibility into their data assets nor a warning system in place to alert them when data security has been compromised.
Deloitte’s Data Quality & Governance services include:
Conversion & profiling
Data conversion helps organizations transform data from legacy or proprietary file formats to the required formats. Data conversion and profiling identifies source and target data structures filtered through “level 0” maps to standardize on common code blocks and parse values to create consistent, reliable information.
Remediation & cleansing
Data remediation services help to structure the organization’s approach, response, and prevention of data irregularities and allow organizations to monitor the reliability and quality of data, including cleansing, standardization, and eliminating of duplicates.
Retention strategy
Data retention defines the policies of persistent data and records management for meeting legal and business data archival requirements. A data retention policy weighs legal and privacy concerns against economics and “need to know” concerns to determine the retention time, archival rules, data formats, and the permissible means of storage, access, and encryption.
Sustainable structures and processes to monitor and resolve data quality issues
In many cases, the root cause of a data challenge is not the data, but the process by which the data is created and maintained. Data governance defines the policies and identifies the people who govern the disposition of corporate information.
