As the IT manager at your company, you understand how vital analytics has become to its success. However, you might struggle to meet demand for analytics products for your organization.
How Not Meeting Data Analytics Demands Impacts Your Company
When you cannot provide analysis on time, your business can not discover new insights to run its operations and logistics more efficiently. Not meeting current analytics demands could limit the potential of your organization's products and supply chain management.
One detrimental effect is when delayed analytics and reporting prevents visibility along your company's supply chain. This blocked vision in logistics can hide available capacity, emerging problems or potential opportunities. Not being able to evaluate this information results in your company’s inability to forecast and plan production targets, cash flow and staffing requirements.
This problem can also hinder the development of new and better products. If your company can’t sufficiently use analytics to understand customer feedback and purchasing patterns, it won’t know to make improvements or adjust the product road map. This lack of insight can cause the organization to lose money and waste time.
As an IT manager, your mission is to enable functions throughout your firm to succeed. However, not meeting analytics expectations frustrates many at varying levels of the company.
In the best of cases, you might have the right tools to give your organization the information it needs. However, in many situations, IT Managers lack the talent resources or human capital needed to meet data engineering, data science, analytics or visualization goals. Perhaps you are one or two data scientists away from having an efficient team. If you are tired of feeling foiled, try alternative ways of taking advantage of IT talent available to you.
How Leveraging Different Paths to Finding Analytics Talent Can Help
If you don't work for a big firm, having a robust analytics crew is very challenging. Large businesses can offer better salaries and opportunities for one of the most in-demand skill sets. Most small to midsize businesses lack the expert staff to accommodate current analytic demands. The tight market for business intelligence professionals creates these staff shortages, whether large company or small.
However, it is possible to build a new team or enhance your existing team. One option is to consider contract data scientists in addition to full time employees. These individuals can be hired for individual projects or as a semi-permanent addition to your team. This is also a good way to introduce data science roles to the organizations, without a permanent commitment to adding to head count.
What makes this an interesting option is that many data professionals are turning to freelance work over full-time positions, as they enjoy the flexibility freelancing work provides them.
As an employer, this kind of workforce means:
- No Loss of Time Training New Hires: You can easily match the analytic tools you are using with prospective independent analysts.
- Stay Ahead of the Competition: You can hire analysts with industry expertise, in addition to analytics expertise, allowing you to integrate industry trends more rapidly.
- Integrate Your Existing Team Without Large Resource Commitments: Hires can be remote, so the investment in hiring can be minimized, from office space and equipment to placement fees.
The challenge with this approach, however, is how to source the right data specialist and vet their true abilities and experience. Traditionally, working with your internal HR department could mean that the time to hire could be long when the need is immediate. Even then, in-house recruiters rarely have the depth of knowledge to adequately evaluate data talent against specific requirements.
That's where Chisel Analytics comes in. By leveraging our vetted talent pool, you can augment your team as needed with precisely the skills you require. Whether you have a single project or looking to add to your team, Chisel can help you find the right talent for your company. As a result, you will stay one step ahead and meet the analytics expectations of your organization.