Five HRMS with standout analytics functionality
Could 2017 finally be the year that HRMS analytics go mainstream? For some time, this particular function has been tipped as the technology to watch, but only now does it seem to be approaching the tipping point of widespread adoption. With this in mind, there’s no better time to highlight five systems that pack a punch when it comes to in-built analytics…
1. SAP SuccessFactors
SAP's SuccessFactors system gathers talent data from a variety of sources (such as core HRMS data, talent records, engagement information, financials, etc.) to produce Big Data analytics and insights on a range of issues, including employee engagement, diversity, performance, and turnover. Self-service is a key feature, potentially giving access to a wide range of workforce metrics to your managers and leaders, supported by on-screen guidance and explanations to assist in interpretation and application. Finally, built-in benchmarks allow users to compare their organization with relevant peers and competitors.
2. Visier
Visier claim their Continuous Machine Learning technology is, “up to 10x more accurate at predicting who will resign over the next 3 months than guesswork or intuition.” Sounds impressive but then again, shouldn’t any analytics module be better than guesswork?
Guide: five ways HRMS helps you get more out of your HR data
Visier offer all the usual predictive foci: reducing resignations, better recruitment decisions, optimized compensation & benefits, and improved workforce planning, all delivered in the cloud and all aimed at making better decision-making easier.
3. TalentSoft
TalentSoft has been reviewed as one of the smartest, most intuitive and flexible talent management solutions. When it comes to the analytics, TalentSoft’s pitch goes heavy on the capability to create customized dashboards for individual user’s needs, facilitated by the option of ready-to-use analytics templates for a range of common HR challenges, emphasizing the user-friendliness of the package. It also enables users to analyse data relating to individuals as well as whole teams. This micro level analysis on prediction has to be treated with caution, limited as it is to the data collected, but it does offer a very focused approach to data insights.
4. Vista
Vista (by PDS) offers an optional analytics add-on to its comprehensive HRMS package. Tapping directly into the data stored in the HRMS, Vista’s analytics offering includes a full set of pre-defined template analytics, each of which is fully customizable. Likewise, the user dashboards are configurable and easy use is ensured by the offer of full training in the systems tools, and in general HR analytics, statistics, and data modeling.
5. IBM Watson Analytics
IBM’s Watson solution has garnered a number of highly positive reviews, citing the use of artificial intelligence and machine learning principles to create more accurate business insights. IBM’s own website points to recruitment, workforce utilization, employee satisfaction, attrition, and training and career development as priorities.
The system is specifically praised for its system of prompts and guidance which are calibrated in such a way as to cater for both analytics newbies and seasoned data warriors – an impressive balancing act.
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