What do we mean when we say “Big Data?” The term refers to massive amounts of data produced by different sources like social media platforms, logs, sensors, IoT devices, and more. Doug Laney further simplified the phrase by breaking it down into the following three Vs:
It can be either structured (like numeric tables in traditional data collection), semi-structured (like XML files), or unstructured (like audio, video, and image).
For example, when applied to engineering and tech consultant recruiting, an analysis would look at a candidate’s publicly offered source code, their LinkedIn and other social media channel profiles, the websites they frequent, and even the way they talk about technology.
The MVP of the big three tends to be variety. What seems simple is actually the attribute that sets this type of analysis apart from all others. Combining information from a vast array of sources is a game changer for any industry looking to fill roles fast.
Why is Big Data important?
Some argue that due to potential data fatigue, Big Data analysis will prove itself to be a passing fad. However, an Accenture study shows Big Data has become a vital integration for many industries, with 89% of companies surveyed saying that Big Data will revolutionize multiple operations in various sectors. 79% agreed that those who did not embrace Big Data would lose their competitive position. Why? Because, like a lot of things involving technology, it saves time, reduces costs, and increases agility.
Big Data is used in machine learning, predictive modeling, and other advanced analytics applications. Analyzing this data allows you to better determine the root causes of failures, issues, and anomalies in real time. In short, Big Data creates the potential for unlocking big insights.
Just a few examples of how this analysis can be used include:
- Discovering habits and behaviors of consumers in the retail market
- Monitoring patient health status using wearables in health and tech
- Creating road maps in real-time for autonomous cars
- Developing more personalized marketing
3 Ways companies benefit from utilizing Big Data via TeamUP
So, how does utilizing Big Data affect tech talent acquisition? The following ways are just a few of how companies can benefit from using the approach with an engineering and tech consultant partner like TeamUP.
Streamlining the hiring process
The average time to fill the IT industry in the US is about 50 days. IT recruitment length tends to be longer than other industries because it’s one of the most competitive. Big Data allows hiring managers to identify and screen candidates more accurately. It also detects dozens of patterns beneficial in forecasting pitfalls in critical areas of the hiring process that can be adjusted and improve future strategies.
Increasing productivity & efficiency
Big Data is essential for increasing productivity and efficiency without sacrificing quality. It can make your overall business more effective by helping employees better understand your specific company goals and take appropriate action on crucial tasks. Analyzing factors like employee absence rates, workload, and work output will help decide where to improve productivity.
Improving the quality of candidates
Predictive analytics help staffing and recruitment agencies proactively acquire promising candidates. Recruiters can not only better analyze their pool of recruits to make better connections, but they can also analyze the success of those placements. From there, candidate pools can be narrowed down to the qualities and experience that are consistently a good fit for the job and be adjusted as needed.
Why trust TeamUP with Big Data?
TeamUP’s staffing specialization in Big Data gives you extensive networks of industry talent to choose from and leverage.
Our focused ample data skillsets include:
- Data Engineering: data and storage solutions and managed services)
- Data Science: predictive modeling, machine learning, fraud, and compliance)
TeamUP’s precise knowledge of a company’s desired skillset permits us to become a trusted advisor to our partners and provide them with top tech talent.
How do we do this? Applying Big Data to our methodology and vetting process with our extensive databases ensures you’re getting connected with quality candidates you can depend on.
As applications roll in for an open position, our experienced recruiters prescreen, run background checks, and verify skills through references and reviews before continuing with an interview with the company. We will not introduce anyone to a hiring manager unless we believe they’re the right fit. We want to guarantee that whomever you hire can hit the ground running. Utilizing Big Data, advanced analytics, and our technical resources allow us to do so.
Want to learn more about how TeamUP can help with your next project or hire?