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Don’t break the chain. Habits to keep your Supervisory Organization Hierarchy intact!

One of the most basic (and important) functions of HRIS is the Org Chart. Everyone loves a visual of their supervisor and subordinate relationships. It quickly answers questions like – Who manages who? How many workers do we have in the Marketing department? Why are there so many empty positions on Scott’s team? The problem is…if you don’t care for your org chart enough, you will break the chain and get stuck with a massive clean-up project. Here’s how to avoid it. Let’s first define how the configuration works in Workday. Pretend there’s a supervisory organization (sup org) called “Data Engineering”. There are 3 members of this organization: Raj, Jason, and Rachel. Sally’s position “Data Engineering Manager” is assigned as Manager on the Data Engineering Sup Org. Hence, Sally now becomes the Manager of the 3 members of Data Engineering. So far, our Management Chain and Sup Org Chain looks like this: Now, Sally herself is a member of an organization called “Engineering”, and the Manager of this organization is Chris. With this addition, our org charts update to look like this: To get the chart on the right, we need to ensure the Sup Org “Engineering” is assigned as Superior to “Data Engineering”. This is where things start to go wrong. When a manager undergoes staffing changes such as a promotion, transfer, or termination, the chart on the right can get “uncoupled”. Let’s say Sally transfers to a new sup org with Kathleen as her new manager, and she keeps her 3 direct reports. The management chain on the left updates automatically as Sally is now a member of the Sup Org that Kathleen manages. But what gets missed is moving the “Data Engineering” supervisory organization to be subordinate to “Internal Systems”. Well, as long as the manager reporting relationships are correct, what’s the big deal??? The big deal is that configuration in your tenant relies on the Sup Org Hierarchy to be correct. Here’s a few examples: Reports with the prompts “Supervisory Organization” and “Include Subordinate Organizations” i.e. If I chose Internal Systems (Kathleen) and checked Include Subordinate Oragnizations box, Data Engineering (Sally) would NOT be included in the report output. That organization is technically still subordinate to Engineering (Chris). Condition rules on business processes with the field “Organization and Superior Organizations” i.e. If the condition rule specified Engineering (Chris), the business process step would erroneously fire for a new employee hired into Data Engineering (Sally). Year-End Compensation Review Process using Sup Org as the org type for shared participation planners. i.e. Kathleen as a compensation planner would expect Data Engineering (Sally)’s budget to roll up the org chain, but it would incorrectly be rolling up to Engineering (Chris). Are you convinced this is important? Excellent. So, how do we fix this? First, identify which parts are broken and clean it up. My favorite method is via a custom report. Lucky for you, I attached a report definition below for you to copy! When there’s a mismatch between the Sup Org’s Manager’s Manager and the Superior Sup Org’s Manager (say that 10x fast) you know a fix is needed. i.e. Continuing the example above, the Sup Org’s Manager is Sally. The Sup Org’s Manager’s Manager is Kathleen. The Superior Sup Org’s Manager is Chris. This would call for a fix! We’d need to correct the Superior Organization of Data Engineering (Sally) to remove Engineering (Chris) and replace it with Internal Systems (Kathleen) . The goal is to have 0 results in the report. The best part? After the clean-up completes, you can continue using this report as an audit on a rolling basis to keep track of tenant health. Second, you want to build configuration to protect against this happening in the future. Make sure your Change Job business process definition has the two subprocess tasks Create Subordinate and Change Superior Organization. That way, when you make qualifying staffing changes, you won’t have to remember to go back and adjust ad hoc. It all stays connected. Note: Create Subordinate is typically initiated when an individual contributor becomes a new manager. Change Superior Organization initiates for Manager transfers. Third, make your self-service workforce aware of the differences between the 2 tasks: Move Workers and Change Jobs. A good rule of thumb is to only use Move Workers for Individual Contributors. To transfer a Manager, it’s best to use Change Job because there are settings for whether or not to move their team with them, and of course, the steps for adjustment mentioned in 2. Enjoy your clean hierarchy!

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Punch A Golden Ticket – Implement HR Analytics

Companies with predictive HR Analytics outperform their peers by generating 30% higher stock returns than their competitors.  This knowledge is nothing new, we have known for over a decade since “Talent Analytics: From Small to Big Data” was published back in 2013. So why does change take so long and why are some companies resistant? Ironically, one of the primary reasons is a lack of human resources… a lack of people in our department with the knowledge and skills necessary to execute advanced and predictive analytics. I recall back in 2017, my first position in Human Resources as a Compensation Coordinator. Compensation sat in a block of cubicles that was adjacent to the HRIS office space and another separate area for HR Analytics. I was encouraged to stay out of their work although I often found myself inquisitively hanging around their space. They were some of the highest paid individual contributors in HR and were rockstars, but their work was mysterious to anyone not in their inner circle. This bothered me because their work seemed important, and I wanted to advance my career. I never imagined that I would one day lead a reporting & analytics practice. Even this Fortune 500 company with an analytics practice that was heavily sought after was either not willing or able to implement a data driven HR practice across all of HR. The practice was a silo that secretly pushed information for decision making up the ranks but not across. I can only assume that their reasons may have included privacy concerns, corporate culture, or a vote of no confidence in the rest of HR. I cannot blame them. Why spend time and resources pushing out analytics to people who are either not interested or have no training in the area? I have worked now with dozens or persons in HR who cannot perform basic Excel functions or interpret any form of statistical analysis. I do not mean to be unhelpfully critical, only for us to humbly be honest with ourselves so that we can make real progress. Other lines of business cannot be to blame for our perceived lack of financial impact. HR positions are some of the furthest roles away from cash inflow. A learned that I learned early in my Compensation days is that contributors who are closest to cash inflow or who directly bring money into a company (i.e, Sales) are often the highest paid. It is easy to see their direct effect on the bottom-line because their work is about revenue. Because HR with maybe the exception of Talent Acquisition, cannot be easily associated with revenue, we must work harder to prove our financial worth and we can do that by speaking the common language of mathematics. If I want something done and I tell my boss that it will make them look great because we will decrease Time to Fill or we will save X dollars, now I have their attention. Mathematics, Reporting, and Analytics is the golden ticket to our seat at the table. Easier said than done, right? If Fortune 500 companies with all the resources that money can buy have ineffective HR Analytics, how then can the rest of us build from scratch? First, I want to remind you of the point I made earlier; it can be extremely difficult to convince leaders about the importance of HR Analytics. This is true regardless of the size of the company and so large companies struggle with implementing analytics the same way smaller companies also struggle. Leadership needs to sponsor the change, less we ask employees to divert from their other work to prove our point. Who in their right mind wants to push such a boulder up the hill, on the same salary, only to be rejected? If 30% better stock value is better…. If what I have said about HR’s technical proficiency resonates… If you are tired of feeling underutilized and underpaid…. Here are 5 suggestions for implementing a successful HR Analytics practice. Gain executive sponsorship If you are fortunate to have leadership that already understands the value of reporting and analytics from all departments, then I envy you. If you have this and fail, there is no one else to blame. Select the team Do not take the road blindly; include experienced analytics professionals in your journey whether it be peers, consultants, or colleagues from other departments. Choose your software I am bias because of my role as a Workday consultant, but it is my opinion that companies spend way too much time and effort on software selection. At their core, most software of the same class performs the same functions. Too much credit is often given to the tools especially when blame is assigned. ‘The user experience for our managers in Job Change is terrible!’. Is it the UX or have you tried to make Workday an employee experience platform like Service Now when it is marketed as an Enterprise Cloud Management Platform, basically a new version of the ERP? 60% Implementation / 40% Communication and Training For your efforts to be effective, they must be received well. It is not only communication that is important, but also data literacy and ability to perform self-service. When implementing the software or analytics program, budget up to 40% of time and money for training and OCM. Half measures avail nothing. Focus on Decision Support Passion projects are great and sometimes our customers don’t know what they need or want, think Steve Jobs. But if you want a practice that managers rely on, always frame your analytics practice as decision support. Start with answering basic questions and exposing data that managers cannot access without your help. One day, you may lead a team that prescribes efforts and predicts outcomes.

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