Q10 - Opportunities and Challenges

Q10 - What are, in your opinion, the opportunities and challenges that Big Data brings to Storytelling?

Answer to the question:

There are several challenges that Big Data brings to Storytelling, from learning new technologies, investing in people, and time to develop new projects and evaluate results.

But the biggest challenge will be preparing people to work with Storytelling based on data.

Nothing will happen if we do not invest in people, in professionals, and their preparation to deal with data and think data-oriented.

1 - Skills and competencies in the language of data

Considering that data and its analysis will become an asset for people and companies, it will be necessary for employees to develop basic skills to communicate through data.

Some basic knowledge necessary for professionals to become data literate are:

- Formulating questions about the data

- Identifying basic elements of the data

- Identifying methods of data storage and preparation

- Exploring the selected data

- Analyzing real data to answer questions

- Preparing presentations with the conclusions

This knowledge will enable the management, analysis, and creation of value from data.

2 - Personal and professional opportunities

There are numerous opportunities offered by Big Data to Storytelling, such as taking advantage of this moment to develop new markets, businesses, and knowledge.

The greatest personal and professional opportunity, besides new learning, lies in the curiosity and intuition of the professional.

Curiosity and Intuition are essential elements for asking questions about the data and what it can teach us.

Sometimes, a simple question from a conversation, meeting, or chat can open a new path to solving problems.

Questions about data can lead to unexpected business solutions with surprising results.

3 - Business opportunities

It is necessary to pay attention to new data sources from customers, products, services, and company operations, structured data, and especially unstructured data, such as those from social networks, the Internet of Things, emails, blogs, and data that can begin to tell a new story of the company not yet known.

This new data story will allow discovering opportunities in revenue generation, which is the center of business development.

Companies should adopt data analysis as a business discipline, just like marketing, sales, and finance, and integrate data, Big Data, and predictive and analytical methods into their business models and decision-making.

Do not think of Big Data as technology, but as business transformation, people transformation, and focus on what the company seeks commercially, such as reducing costs, improving customer relationships, and increasing revenue.