Data Literacy for a Mobile Workforce
image credit: © BiancoBlue | Dreamstime.com
- Apr 22, 2021 3:42 pm GMTApr 22, 2021 12:14 pm GMT
- 104 views
Data literacy is an organization’s ability to read, write, analyze, and communicate relevant data to other work teams and partner companies or authorities. Effectively it's a common language that people use when sharing business information with each another.
By using data, utilities can reduce the guesswork and “intuition” in their decision making. Many businesses, however, are not making the most of the new frontiers in ICT. If a new, Artificial Intelligence (AI), system isn't applied effectively, it might as well not be there.
Gartner’s recent report shows that poor data literacy is a significant issue in the application of data systems to the real world of business. There are several steps to take to improve data-literacy within corporations. With the increase in mobile and home-working it will become very necessary.
Define data expectations and create a plan for implementation
Educate your workforce
Make the approach easy
Trace, quantify and repeat
Define Data Expectations and Create a Plan for Implementation
Establishing a vision will clarify the input of data literacy which will be necessary at different levels across the organization. There will need to be an assessment of skills required and goals to be set. Prioritization exercises should scope out the best areas for improvement. Resource availability is a constraint, however.
Educate your Workforce
Training people in data literacy as a part of your organization’s outlook will save time and costs. Foster an environment where innovation is rewarded and ascertain the optimal way for your teams to learn. You may need specific training from data analytics experts.
Make the Approach Easy
Some quarters will be resistant to a new approach so there will have to be careful and user-friendly implementation. Adopting methodologies and frameworks will ensure that team members can find answers to their questions. The more transparent and structured the data is, the easier it is to utilize.
A superior data-analytics tool will offer multitudes of features, such as comprehensive and personalized visuals, which will help recognize, test, and validate relevant information seamlessly. Business intelligence tools, such as Microsoft’s Power BI, let your teams develop or download interactive, custom visuals that help them literally visualize the data they need to comprehend and act upon. They also come with data security features, allowing managers to balance data accessibility with data protection.
Trace, Quantify, Repeat
Creating a successful data literacy program takes time and can entail extensive experimentation. When things don't quite work as planned, they must be seen as learning opportunities and used as a springboard for improvement.
Continual evaluation of your data-literacy plan will create to robust analytics outcomes which will then have a measurable outcome on the businesses' bottom line.
Having a data literate organization looks to be a competitive differentiator. Data literacy is a valuable skill for your workforce to develop and hone as utilities navigate the uncertainties of the next few years as the pandemic recedes.