How Data Analysts Can Help CIOs Find Solution To Talent Shortfall Problems?

The talent gap in the technology industry is widening with each passing day. In fact, it has almost reached breaking point now. Experts predict that this talent shortfall problem is not going anywhere anytime soon. It will only get worse as time progresses.

With millions of unfilled positions and not enough qualified and skilled candidates to fill them, you can not expect the situation to change overnight. It will be a long and arduous process especially if they take steps in the right direction. One of the steps they could take is to minimize the gap between academics and industry.

With educational institutions teaching a different set of skills than the industry demands, fresh graduates struggle to find the jobs they are looking for. But how can businesses overcome this issue? There are many ways to solve this problem and one of them is to use the power of data with the salesforce data model.

Wondering how data can help you get over talent shortfall issues? You have landed on the right article. In this article, AntiDos will learn how data analysts can be an IT leader's best friend when it comes to resolving talent shortfall issues.

How Data Analysts Can Help IT Leaders Solve Talent Shortfall Problems?

Here are five ways in which data analysts can assist IT leaders in finding a solution to the talent shortfall issue.

1. Laying The Foundation For Innovation

The first step you should take full advantage of your data to get over the talent shortfall problem is to build a solid data foundation. Put data at the heart of everything you do. It should be an integral part of your business and decision-making processes. Once you establish a data-driven culture at your organization, it will be much easier to use data as a tool.

You might be wondering why this is important because it can prove to be a source of competitive advantage for your business. Yes, it might not be easy to implement new technologies but if you identify gaps and plug them and have a solid foundation, you can make the most of the data at your disposal. It can not only help you with finding and hiring the right candidates but it can also assist your business in bringing the right product to the market at the right time. 

Don’t just start your data transformation journey just because everyone else is doing it. You will struggle if you follow in the footsteps of other businesses without taking into account your particular business needs. Every business is different and so are its use cases, requirements, and problems. Create a feasibility report to see whether it is worth it or not. You need to tailor your data strategy according to your specific business needs so it can deliver the results you want it to produce.

2.  Data-Driven Vision

Once you are fully certain that you need data transformation, it is time to create a vision centered around data. Shifting from a traditional organization to a data-driven one can be a bumpy road especially if there is not a clearly defined vision to tie everything together. The better top leadership manages to absorb the shocks along your data transformation journey, the better chance you have to succeed with data transformation.

One of the biggest challenges organizations encounter when becoming data-driven is a cultural shift. In addition to the cultural shift, you should also mold processes and workflows and consider the human aspect of technology as well. What issues people will face with the new technology on a daily basis? When you create a vision and mission with all this in mind and your strategy is created using all the elements, your chances of success increase automatically.

Here are some of the things you can do to translate your data-driven vision into reality.

• Create alignment between technology and strategy
• Keep all the stakeholders engaged throughout the process
• Analyze your current situation
• Document everything
• Identify ways to track progress and success

3. Data Integrity and Cleanliness Matters

The sheet volume of data organizations collect, store and manage these days is mind-blowing. Sadly, all that data could go to waste and won’t benefit your business if you don’t clean it from inconsistencies and remote inaccuracies from it. Irrespective of how good your data analytics or business intelligence tools might be, they are heavily dependent on the data you feed into these tools. 

The higher the quality of data you feed, the better and more accurate results they can produce. A data analyst can identify useful patterns, provide market insights and help you identify issues. Not only that, but they also offer you suggestions to fix those issues as well. In short, they can help your business make sense of unstructured data. This makes them a great asset to have when you are up against talent shortfall problems.

4. Identify Data Skills Requirements

When you are looking to hire candidates and transform your business with data at the same time, you should first ask yourself some questions. What are your goals and objectives for this data transformation? What are the key problems you could encounter during the process? How would you overcome them? What skills are required for data transformation? How can you find individuals with those particular skill sets? 

Once you have answered all these questions, you can target the right individuals with the right skill set. Prioritize candidates with diverse skill sets such as data visualization, security, programming, and machine learning. This can come in handy if you have to manage a DDoS protected dedicated server or launch programming and automation projects. Apart from hard skills, you should also focus on soft skills such as communication and negotiation skills when hiring candidates.

5. Power Tech Recruitment With Data

Once you have put all the pieces of the puzzle in the right place, you should start hunting for tech talent with clevo pa71. Look for candidates who have hands-on experience with the technologies and tools you are already using. You can easily sift through thousands of resumes by leveraging artificial intelligence. It will give you a handful of resumes that have the skills you are looking for. This will not only save a lot of time but save you from the hassle of going through all the CVs manually.

How do you plan to get over the talent shortfall problem? Share it with us in the comments section below.