Retailers are increasingly adopting workforce analytics tools to gain competitive advantages. A survey found 48% of retailers have adopted workforce analytics, while 38% plan to in the next 12 months. Retailers currently measure key metrics like sales per labor hour and scheduling effectiveness. Barriers to adoption include lack of bandwidth, data accuracy concerns, and insufficient business cases. Addressing barriers includes leveraging third-party expertise, showing tangible ROI, and ensuring data governance. Perceived benefits driving adoption are revenue enhancement, cost reduction, and increased productivity. Case studies found analytics helping reduce labor costs by 5% and increase call center occupancy by 3%. Moving forward, retailers will leverage multiple data sources for actionable insights through predictive analytics and mobile platforms.
15. “
Situation
• Engaged trusted analytics partner to
uncover hidden labor data
• Conducted best practices design
workshop, revealing key business
needs
• Upon revelation of key business
needs, Workforce analytics
dashboards were created to achieve:
- Long term trends in workforce
performance and cost
- Administrative excellence
- Visibility to payroll leakage
- Visibility into inefficiencies, outliers,
unnecessary or redundant
processes, and noncompliance at
the the store level
Several years ago we
invested in our T&A
system’s analytics module,
but due to competing
priorities and lack of
bandwidth, we weren't
able to use the data. We
decided to engage a 3rd
party to help us interpret
and use the data. The
insights gained have been
invaluable to our business.
Workforce Analytics
Dashboards
“
Winning with Analytics…
With every dollar saved as a result
of heightened visibility through
Workforce Analytics, the
organization has committed to
reinvesting savings at the location
level to drive overall operation
improvements and increase
employee satisfaction levels.
17. Retailers will leverage tools to collect data from multiple data points to determine
actionable insights
Real-time data availability will drive velocity to decision making capability
Will see a shift to predictive analytics to transition data capability from
“what happened” to “what will happen”
Analytics platforms will be rapidly transitioning to mobile devices and allow
alerts and decision making ability to occur on the sales floor
Retailers will understand the value of a data governance program to drive data
accuracy
Addressing root causes of issues through analytics will ultimately drive employee
engagement and retention, a better customer experience, and ultimately higher
revenue and profits for retailers
Summary