Data Visualization And Reporting

Data reporting translates raw data into information. And also, reporting is about organizing data into summaries. Data alone is meaningless, and action without data is baseless. Both reporting and visualization are important or vital to adding value to data and operation. When data reporting is accurate, it gives rise to the accurate analysis of the fact at hand. An accurate analysis is a result of a rigorous data analysis. Meaningful data visualization all starts from a comprehensive and accurate reporting.

Reporting plays important roles in web analytics, but organizations need to understand that reporting is just numbers. Without drawing insights and having report aligned with the big picture of an organization, decisions can’t be made based on reports alone. Data reported should be analyzed. Data analysis is the most powerful tool to bring into businesses.

Data visualization is one of the steps in analyzing data and presenting it to users. Data visualization refers to the model used to communicate information by encoding it as visual objects (e.g. points, lines or bars) contained in graphics. The aim is to pass information clearly and efficiently to users.

The main aim of data visualization is to pass information clearly and effectively through graphical means. An ideal visualization should communicate clearly, and also encourage viewer engagement and attention. Data visualization is vital in transforming business strategy to reality as it permits understanding where an organization or division needs to focus.

Significance of data visualization and data reporting

Data reporting provides the platform for organizing data into informational summaries in order to monitor how different areas of business are performing. Data visualization is a fast, simple approach to passing on ideas in a general way. It likewise helps to recognize ranges that need consideration or change.

  

How is data visualization used?

Regardless of industry or size, a wide range of organizations is making use of data visualization. Let us look at the below components about the main tasks it does,

Comprehend data rapidly

By utilizing graphical representations of business information, organizations can see a lot of data in clear, cohesive ways and draw conclusions from that information.

Identify connections and patterns

Even extensive amounts of complicated data start to make sense when presented graphically; organizations can perceive parameters that are profoundly correlated. Some of the correlations will be obvious, however, others won't. Recognizing those connections helps organizations concentrate on areas most likely to influence their most important objectives.

Pinpoint rising trends

Using data visualization to discover trends both in the business and in the market can give businesses an edge over the competition, and eventually influence the primary concern.

Tell the story to others

Once a business has revealed new bits of knowledge from visual analytics, what follows is to convey those bits of knowledge to others. Utilizing graphs, charts or other visually impactful representations of data is important in this step since it's engaging and gets the message across quickly.

Data Visualization Tools

Here, I will be talking about two of the available tools.

Tableau

Tableau offers a suite of tools that include an online, desktop and server version. All of these versions provide an easy-to-use drag and drop interface that can help you quickly turn your data into business insights. The online and server versions give the room for your entire team to build and work with the visualization tool. Like many other data analytics and visualization tools, Tableau can connect to local or remote data of different formats. Additionally, the Tableau engine can connect to live data for up to date visualizations.

QlikView

The QlikView business discovery platform is one of a few visual analytics tools offered by Qlik. QlikView can’t create the same elegant visualizations that the other tools offer, but the software’s dynamic model means that you can analyze your data quickly in multiple dimensions. QlikView is able to work with a wide variety of data sources, including SAP, Oracle, and other legacy data files like Excel spreadsheets. What’s more, QlikView can combine these disparate data sources into a single visualization.

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