#3 Importance of Data Literacy for Business Leaders
Data Literacy for Business Leaders

#3 Importance of Data Literacy for Business Leaders

Businesses all over the world are slowly but surely beginning to acknowledge and adapt to business transformations with the assistance of AI and specifically data collection. 

Data literacy could very well be the propelling force for businesses to embrace success. Employees can use data in their daily activities, If used appropriately, data can enhance employee performance and lead to overall company growth.

The opportunity to harness data in every kind of business is massive and when empowered with the right kind of training, making informed decisions will be much easier. 

When a business is data-literate it can make decisions based on facts as well as experiment with the data to discover new business insights. Utilizing the collected data is the key to success. 

Every company will have its own unique path towards data literacy. For leaders understanding the importance of data is just the tip of the iceberg. Leaders also need to identify and implement data strategies effectively. For this, these leaders must

Cultivate a mindset driven by data

Leaders bring to the table their expertise from their field of interest. But most of these leaders are not familiar with data, and this transition towards a data-driven mindset might take some time. It is essential for leaders to be trained in the data landscape so that they are able to comprehend and be aware of both the benefits and biases associated with data. 

Interpret the data life cycle 

In general, leaders are expected to oversee every aspect of the data life cycle. Without the required foundational training, these leaders will have a more difficult time making decisions with regard to data investment in their companies. Most importantly, they should know what data-related questions to ask including but not limited to - what data is already available, how reliable the data is, and where the data comes from. This will ultimately assist the leader in making sound decisions that escalated the business strategy. 

Familiarize themselves with data related positions in their business

In a business that is in the process of transforming itself into a data-driven organization, the leader needs to understand where to invest their time and money. Furthermore, leaders need to integrate new business processes into their existing systems. This will result in the creation of new job roles such as data analysts and machine learning specialists. 

Make sound data-driven decisions

Leaders relying on past knowledge are risking being left behind by their competitors who have already begun to use data as an analytical tool. Data literacy is the need of the hour in order to give your business the best chance moving forward. 

Data training for leaders is crucial for the growth of a business. Investing in training sessions that help them comprehend data and its life cycles will only help in technological advancement and business growth. 

Jan Hendrik Matzmoor

analytics leader ? turning data insights into competitive advantages ? deep expertise in Asian markets and specifically China

3 å¹´

Fully agree with you, Bhushan Muthiyan. Only by achieving a cross-functional data literacy, organizations can (further) establish data-driven decision making and turn data insights into competitive advantages. One key element to increase the data literacy of working professionals are targeted on-the-job trainings, that are engaging learners to solve real work problems by using data analytics. #analytics #data #dataliteracy #datascience #machinelearning

要查看或添加评论,请登录

Bhushan Muthiyan的更多文章

  • #12 - 5 Benefits of Chatbots for Businesses

    #12 - 5 Benefits of Chatbots for Businesses

    Chatbots are a one-time investment that can provide rapid self-service, deflect a large number of inquiries, and scale…

    2 条评论
  • #11 - 4 Applications of Deep Learning in Smart Cities

    #11 - 4 Applications of Deep Learning in Smart Cities

    The recent emergence of smart cities is making sustainable living slightly easier for city dwellers. The goal of a…

    2 条评论
  • #10 GPT-3: Is It Truly Revolutionizing AI As We Know It?

    #10 GPT-3: Is It Truly Revolutionizing AI As We Know It?

    Open AI, co-founded by Elon Musk recently launched GPT-3, a Generative Pre-trained Transformer 3 in May 2020 as a…

  • #9 - 3 Ways to Train AI To Fight LGBTQIA + Bias

    #9 - 3 Ways to Train AI To Fight LGBTQIA + Bias

    It is an accepted fact that human biases are reflected in all AI and ML models because they are created by humans. In…

  • #8 - Importance of Data Quality

    #8 - Importance of Data Quality

    Data quality enables you to cleanse and manage data while also making it accessible throughout your organization There…

  • #7 - 3 Challenges that are making data labeling inefficient

    #7 - 3 Challenges that are making data labeling inefficient

    Labeling data for Machine Learning (ML) or Deep Learning (DL) training is not a simple task; it necessitates a wide…

  • #6 Ethical use of AI in your organization

    #6 Ethical use of AI in your organization

    In the last couple of years, AI has been taking the business and tech world by storm. We see businesses across all…

  • #5 Determining the stages of AI maturity in your organization

    #5 Determining the stages of AI maturity in your organization

    Understanding where you stand in terms of AI maturity is a crucial move. There is no right or wrong response, but…

  • #4 Deep Learning End-to-End Life-cycle

    #4 Deep Learning End-to-End Life-cycle

    Deep learning (DL) is a subset of machine learning (ML). A deep learning model is capable of learning by creating its…

    1 条评论
  • #2 AI Bias in Financial Institutions

    #2 AI Bias in Financial Institutions

    It is widely believed that AI biases stem from biases that are intrinsic to human beings. The AI models that we create…

    2 条评论

社区洞察

其他会员也浏览了