5. The how and whys of connecting Payroll & Time Management systems
Once you start to have the data available, it opens all kinds of opportunities as to what you can do with it. We've all heard the expression ‘data is the new black gold.’ We can see how data has really been able to help a business on that journey of transformation; maybe it's identified a new opportunity, or an answer to a challenge that's bedevilled it for a while?
- If you’re able to assess employee engagement at each of those stages, you’re not waiting for a person to resign. You’re not waiting six months to tell them how they are feeling. You are being proactive about getting information and employee engagement.
- The shift now is not to ask for information, but to use data analytics to get insights without going to the employee for information. And that can make a big change or shift in how proactive you can be in handling issues.
“It’s clear just how much technology can support the speed of change. With the right technologies in place, the agility and speed of change is exciting. A key factor is the employee experience. Having worked in payroll for over 20 years, the employee part of payroll has for a long time been confined to a bit of paper at the end of the month: the payslip. Whereas now, the sheer amount of information available supports personalisation, meaning we will be able to move forward from an employee’s point of view.” – Mandy Hawley
So clearly, there are enormous changes within the retail sector, in many cases structurally. Much of that change is working its way down into HR and payroll. We need to think about what makes us the employer of choice, so that we can attract and retain and motivate those people, as we all live fast-paced, complicated lives.
The single biggest thing many people have experienced in retail is the change from the high-street physical presence to online and digital eCommerce. This has changed shopping behaviour, and the way that we live our lives and work.
Now is a good time to look at how we combine HR and payroll systems, and to take advantage of some of this – because if for no other reason, with some of those older systems, as more and more people transform away from them, the likelihood that you’re going to get long-term support begins to drop, and some of the systems are quite fragile.
Now's the time to go for something a little bit more robust. It will need some more skills. It will need a different way of thinking. That's not to say that we all become data scientists overnight. But we do need to get to a point where we can understand what story the data is telling us.