data integrity challenges (and how to overcome them)

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Data Integrity Challenges (and how to overcome them) December 16, 2009

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  • 1. Data Integrity Challenges (and how to overcome them)
    December 16, 2009
  • 2. Agenda
    Data Integrity Defined
    Critical HR Data Elements
    Business Impacts
    Getting it Right
    WhatchaLookin For?
    Overcoming Data Integrity Issues
    Q&A
  • 3. Data Integrity Defined
    System/Database: Rules that govern the referential integrity of the database application as well as the infrastructure on which it resides.
    Security: information can only be accessed or modified by those authorized to do so.
    Process: The creation and adherence of rules that govern the inputs/outputs of HR data to ensure minimal error.
    Field: Measure of quality, accuracy, reliability and completeness of HR data based on error detection.
  • 4. Critical HR Data Elements
    Reporting Relationships/Hierarchy
    Name and SSN
    Date Fields: Hire/Rehire/Acquisition/TOAD/Service
    Salary, Shift Differential, Comp Plan, PTO Plan
    Work Location/EEO Location
    Compensation Structure
    Contact Information
    Job Codes/Families/Titles
    Company
    Business Unit
    Manager
    Division
    Employee Name
    SSN
    CC/Department
    EEO Location
    EEID
    Work Location
  • 5. Impacts
    HR Reporting
    Recruiting, Hiring, and Onboarding
    Budgeting & Financial Reporting (SEC reporting, etc.)
    Compliance Auditing (SOX, RHESPA, Safe Harbor)
    The Bottom Line (i.e., higher costs paid for incorrect salary)
    Many HR departments havent realized that they have the same responsibility for maintaining the safekeeping of their digital information as they have for their paper records, - Arlie C. Skory, SPHR, Principal at Skory & Associates
  • 6. Getting it Right!
    Networking:
    Increase your knowledge of data quality
    Initiate discussions related to implementing a data quality strategy and business rules
    Conduct environmental scanswww.ihrim.orgwww.shrm.orghttp://network.hrmtoday.com/http://blog.aquire.com/
    Begin the process of applying data quality business rules, progressing through the following areas:
    Analysis
    Cleansing and Standardization
    Grouping and Matching
  • 7. SoWhatchaLookin For?
    Develop a baseline
    Start with the basics:
    Orphans (orgs/EE's with broken report-to)
    Blanks (job title, code, cost center, job grade)
    Recycled/Duplicate Email Addresses
    Rehires w/o old Employee Number (IF-THEN statements for validation)
    Location Audit
    Listen to your employees they know things!
    Remember: Not all processes will fit your situation
  • 8. Overcoming Integrity Issues
    Establish and enforce business validation rules and processing standards.
    Regular system and process training.
    Always inquire about the source of your data.
    Make it Collaborative (multiple admins/analysts viewing and updating in real-time).
    Make your updates in mass and enable workflows.
    Keep it clean - Make audits a monthly process.
  • 9. Overcoming Integrity Issues (cont.)
    Reduce the number of off-cycle payments and reversals
    Build data quality scorecards
    AUTOMATE: Visualization tools.
  • 10. Thank You!
    Aquire5215 N. OConnor Suite 300Irving, Texas USA 75039
    Damon LovettDirector, Professional [email protected]+ 1 214.278.5135
    http://twitter.com/damonlovett
    Aquire.blog.com
    Helping over 2,700 companies manage 10,000,000+ employees across the globe.