A quick search of the term autonomous brings up pages of content related to Google's self-driving cars. These vehicles have numerous sensitive sensors on them - many of them can compute thousands of bits of information in a second enabling the vehicle to handle curbs, sudden lane changes from other drivers and even changing lights. This data is instantly gathered and applied to the vehicle, keeping the rider safe. How could this model of ‘smart and autonomous machines’ be translate into the world of HR? It may have more impact than you can imagine.
A Contextual System can process Big Data of any volume and deduce valuable insights by computing all possible talent analytics and provide a host of accurate details for strategic decision making related to the human capital supply chain. Contextual Systems use the power of algorithms to understand data.
Conventional HR systems gather and report data. These seemingly simplistic bits of information mean nothing on their own.
For example, consider Google's autonomous vehicle. When a person drives his/her non-autonomous vehicle down the street, he or she has access to all of the available data available that the Google vehicle has as well. Yet, humans simply cannot gather and analyze that information fast enough or efficiently enough to ward off risks the way the Google vehicle does. Similarly, Contextual Intelligence can make a discernible difference in HR. It can help save costs, time and operational effort, while driving up revenue for organizations.
Algorithm-based computing has the potential to create autonomous HR opportunities. Many companies believe a recruiter strategy is the best. However, even the most talented, experienced and skilled recruiter has limited ability to use even a small fraction of the information available to make key hiring decisions. The question is simple. What can Contextual Analytics do for your company?
Every business is under pressure to reduce costs. With Contextual Analytics, CXOs get in-depth insights to make data-driven decisions; speed and accuracy in talent searching and hiring; and finally cost savings and the option to directly impact the bottom line.
Reduce costs associated with hiring mistakes
Save money on staffing personnel
Hire more productive and efficient candidates
Reduce costs associated with on-boarding new teams
Avoid liability costs
Less downtime, focused use of employee skills and training
Contextual search to find only the ‘right fit’ candidates
Nearly all HR automation systems face limitations because they do not interact with each other. This can be very painful for decision makers in case they choose to use a combination of these to address their HR enterprise needs. On the other hand, a Contextual System can easily integrate with any existing HR system/s complementarily.
With Contextual Intelligence technology, organizations can enhance profits by 3.5% and increase HR efficiency by 70%. A Context Intelligence system uses advanced ‘search, match and map’ capabilities which can help understand talent and skills with greater meaning.
A Contextual System enables recruiter-free hiring and help recruiters to focus more on core HR functions than lose time in cumbersome operational effort. More importantly, it gives the right technological edge to organizations to stay competent in today's even more autonomous world.