11/12/2022
Why Choose HR Analytics Solution:
Any HR analytics solution that will be used at scale must have certain components...
1. They answer the business questions the C-suite asks. This may require that you invest in a solution to address each question, leading to investments in multiple analytics solutions for granular data on each question. Alternatively, you may choose a unified solution that can assess multiple metrics to answer each business question.
2. They are easy to use by individuals who are not data scientists. An accessible solution created for laypersons is ideal when they want to assess any one or more metrics without interrupting the workflow of the data scientist
3. They are cloud-based rather than on-premise. A cloud-based solution also aids accessibility without heavy IT integration. This grants HR the autonomy to use the solution as and when needed.
4. They are powered with statistical analysis and machine learning technology. Big data platforms require advanced data management systems powered by machine learning and natural language processing. This allows the technology to learn and reason autonomously, revealing insights that data scientists can then analyze.
5. They are based on predictive analytics - The practice of extracting information from existing data sets to determine patterns and forecast future outcomes. Analysts use statistical methods to forecast future alternatives – will the current termination rate continue at the same pace or might we expect a surge of exits as the job market strengthens?
6. They are powered with visualization technology. A visual representation of vast amounts of data can allow for better understanding of trends and events. The complex data processed through an analytics engine requires advanced visualization software, as it cannot be presented in simple charts and presentations.
7. They are available through a subscription model. Subscription models of software as a service (SaaS) platforms are useful because they easily allow you to access the latest upgrades in technology. They also eliminate the significant upfront expense of purchasing an analytics solution and may be a more cost-efficient way of investing in analytics.
The vision for how analytics will become an HR core competency is being constrained by limited consumption (insights being shared only within the four walls of HR) and action (the research does not lead to a program change or new investment). There is still much progress to be made.” In addition, because data is siloed across the organization and conversations about the goal of implementing analytics are unclear, the valuable data HR requires for analytics is often underutilized. The challenge is in waiting to actually see results. Predictive analytics is likely to take a minimum of 24 months to show meaningful results, but it will help get started with HR transformation.
