Top 10 Data Visualization Consulting/Service Companies - 2020
The domain of data visualisation is changing fast. From a tool to envisage trends and elucidate patterns to a gateway into the rapidly expanding profusion of visual data that exist, the realm of big data is evolving rapidly. More companies are using big data to glean useful, business-centric insights but traditional infrastructures are not up to the task to handle the tremendous quantities of data generated daily. Avoiding data visualisation pitfalls starts with choosing the right tools for the job. Before embarking on a big data endeavour it is critical to evaluate the software offerings effectively to decide whether it will meet the brief and fulfil the organization’s expectations.
This is a crucial step to overcome possible data visualization problems. A common glossary facilitates a collective understanding of how the data framework works and respective frames of reference. This enables adequate interpretation and permits wide scale use of the same information. Differing definitions can cause misunderstandings, discrepancies and difficulties with analysis validity. Standardisation of visualisation prevents each department recreating the same visual but rather working from a centralised visual platform to share the information.
There has to be effective data control and monitoring to ensure the visuals remain valid, accurate and relevant. Data stewards become the information point for questions or concerns regarding data use and integrity and are often meaningful data contributors. They also act as gatekeepers between the IT departments and the business executives, effecting and intermediary service, as they are in a position to understand the drivers of the business as well as how the data architecture supports the organization. By leveraging the one to support the other, these intermediaries can be of value to the company.
The modern data user is all for self-service and this is a useful paradigm but with it comes caveats. Users do not necessarily have the skill set or knowledge to navigate the visualizations adequately from the outset, and depending on what results they are interested in, the level of training will differ. Different users will use data visualization for different outputs and thus offer a wide scope of skills, ranging from active, applied data visualization building and those who prefer to deal with the outcomes only. With this in mind, it is important to know the intended audience for the visualization to decide which form to produce the content in.
We present to you, “10 Most Promising Data Visualization Consulting/ Service Companies - 2020.”