by Charlie H | Jan 20, 2019 | Data Archiving, Data Quality, M&A
The trend in enterprise resource planning (ERP) and human capital management (HCM) has been to move much of the functions out of the single system. Specialized products over the last 10 years have sprung up focusing only on portions of a HCM system. Enterprises can...
by Sam P | Aug 8, 2018 | Data Archiving, Data Quality, M&A, Privacy Compliance
Transition strategy checklist ☑️ M&A deals often land on HR and Payroll (and HRIT) without much warning and often without additional resourcing help to handle a successful operational consolidation effort. This often results in a failure to realize ROI on expected...
by Charles E | Aug 8, 2018 | Data Archiving, Data Quality, M&A, Privacy Compliance
HR and Payroll leadership face many daunting tasks in planning and execution specifically related to HR, Payroll and overlapping IT operations. These challenges often have major impacts to Merger & Acquisition success rates. Adding to the challenge, most...
by Charlie H | Feb 20, 2017 | Data Archiving, Data Quality, M&A
Data Management 101 Data management is often filled with boring and complex tasks. Complex tasks require complex solutions right? However, sometimes basic data organization can have dramatic impacts on simplifying those tasks. Mastery comes from the Basics The basics...
by Charles E | Feb 16, 2017 | Data Archiving, Document Management, Privacy Compliance
Cybersecurity Regulation Impact on HR and Payroll The NY Department of Financial Services has proposed sweeping cybersecurity regulations taking effect March 2017 for all financial services organizations operating in New York State: “It is critical for all regulated...
by Charles E | Oct 9, 2016 | Data Archiving, Data Life Cycle, Privacy Compliance
The below table is not an exhaustive list of U.S. retention requirements, but covers the basics from a Federal perspective as well as a few specific requirements for Financial Services (BSA regulation) and Chemical/ Pharmaceutical (FDA regulated industries). When...
