Poor or Missing Data Integration Tools — There are a number of data integration tools on the market for any sized business which makes data handling worthwhile. Analyzing multiple data sources without these tools can quickly become cumbersome, and error prone. Furthermore, adopting standard data integration tools eliminates many of the data integrity issues discussed below.
Manual Data Entry and Data Collection Processes — Manual processes introduce human error. Reduce errors by installing data validation, standardization, and other data checks. Ideally, machine data entry is much more reliable.
Multiple Tools to Process and Analyze Data — Tools come and go as new application technologies emerge, so it’s not unusual to accumulate many tools to support data operations. It’s simply a good idea to audit these tools periodically as to their usefulness, their conflicts with other tools, and the potential for consolidating tools into newer more advanced and capable data platforms.
Poor Audit Records — Data adjustments and changes to data integrity rules all must be documented. Failure to record a historical audit of data changes leaves companies in the dark about their progress and will negatively impact operations and data analysis. Without reference, changes to data are made blind.
Legacy Systems — Like software outgrowing hardware, data outgrows software systems and the infrastructure they run on. Legacy systems eventually fall behind, it is advised to be proactive about upgrading data infrastructures before it becomes costly to switch.
Inadequate Data Training — Data is complex, and every stakeholder should have the appropriate training to ensure handling data properly. Adequate data training ensures that all users understand both upstream and downstream needs and responsibilities of data stakeholders, and they know their own responsibilities that help support data as a critical, strategic asset.
Inadequate Data Security and Maintenance — Security and maintenance leaks introduce process flaws that can corrupt data. Employees logging in on the same user ID can introduce data errors by accident, let alone loose credentials can allow intruders to steal or delete data.