becoming

Data fluent

 empowering your organization

Working in a data-driven organization signifies creating a common ground within the enterprise in order to transform complex concepts into actions. However, many people aren’t comfortable communicating with data. To ensure that everyone can participate in discussions revolving around data, in many respects, is a matter of language!

Enterprises see data as a medium for communicating, convincing and even steering their business strategies. However, presenters of data need to meet their audiences where they are, in ways that audiences can comfortably engage and understand the content. We promote the concept of data fluency, a means of becoming a “data fluent” enterprise.

UNDERSTANDING

The concept of data fluency.

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Data communication

is a social problem,

not a technological

problem.

These past few years, many organizations have found it critical to strive for data volume and invest in technological solutions in order to stock them. However, the first generations of business intelligence were designed to meet the IT teams’ needs, de facto, business professions.

Capitalizing on an organization’s data is not only a technological problem but also a social problem; vast quantities of data collected by enterprises remain disconnected from the people who might make use of it.

Data must be seen as an asset in an organization and must be understood by everyone.

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People are the missing

ingredient to be data

driven.

Making data assets useful: a challenge that enterprises attempt to overcome. Data becomes useful when people use it to tell stories, craft visualizations, and construct analyses. It should be presented in a visual, intuitive and simple way. Like any language, data should be about conveying a message.

Therefore, people are the key elements for a data-driven organization! Only they know of their data’s context, their value and the problems they encounter.

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Connect those who

can ask the question

with those who know

the answer.

As mentioned in the paragraph above, it’s by favoring interactions and discussions between people who communicate with data that organizations embrace smarter decision making.
Valuing data takes more than individual efforts. Data must be a shared asset in an organization so that they can be applied to real-life case studies. By creating a productive dialogue between those who are data fluent and those who are still learning the language, there is a connection with those who can ask the right questions with those who know how to answer them.

Make Data Literacy an Explicit Focus of the Strategic Business Agenda

Although conversant in the people, process and technology capabilities required for business change, few executives and professionals are fluent in the language of data – a crucial capability in a digital world.

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BECOMING DATA FLUENT

WHY?

1. In the same way as being “fluent” in a language, data fluency allows your collaborators to express and share ideas in a common dialogue.

2. Being data fluent allows an enterprise to connect all collaborators with a set of norms, processes, tools, and terms accepted and used by all.

3. Data fluent collaborators are able to understand data, interpret them, know if they are available, and know how to use them appropriately.

4. Data Fluency rejects the idea that only specific people can access the information. Being data fluent means to broaden data access. It’s by sharing data knowledge that decision-making can be enhanced.

5. Enterprises benefit from collective intelligence that unlocks data assets’ value.

how?

Building a data culture takes time.

The journey to becoming data fluent is important for any organization that aims to have data-informed decision making.

It takes a diverse set of people to build a data culture.

It’s with organizational leadership, shared rules and conventions as well as the right tools and a good understanding of an enterprise’s data assets, that exchanges and communication with data becomes a priority, and of course, a norm within the organization.

With this belief, we work with our clients to implement data at the core of their organizations, as well as conversations with the help of our modern data catalog.

Who uses a Data Catalog ?

Chief Data Officers

Discover how data catalogs help CDOs build data governance

Data Stewards

Find out the metadata workbench for Data Stewards.

Data Scientists

Discover the social data explorer for Data Scientists.

Our solutions for your business

Make your data meaningful & discoverable with metadata.