Data Visualization – When To Consider It?

Big Data Analytics is not just a thing of science fiction anymore. It is being generated and used at every stage of an organization’s evolution. The data landscape has evolved so much that analysts are constantly coping to make sense out of it. Analyzing data has become a necessity, but the major challenges are that the data is too complex, too big, and too scattered. Integrating it, analyzing it and generating insights that can be used for business growth is even a bigger challenge. What can be done to ease the trouble of using this data and basing the everyday business decisions on genuine and dependable insights? Data visualization is one solution that can come to your rescue. It integrates, correlates, and displays complex data in simple graphs, charts, meters, and infograms. This makes it easier for business users and decision-makers (with limited tech knowledge) to make use of complex data faster.

Is your organization ready for using data visualization? Here are some questions that will take you in the right direction:

  1. Do you have more data than you can handle?

Are you looking for simplicity and agility when it comes to tackling data, but find yourself drowning even deeper each time? As organizations expand, their digital data also becomes vast. This gigantic pool comprises of a variety of data coming from disparate software, platforms, applications, and devices. If you are also scratching your head and don’t have the faintest idea about how to get started with and leverage data analytics, then you must consider visualization.

  1. Do you want quick insights from data?

Most organizations have all the information in the world, but not enough insights to make an impact or grab hold of an opportunity. Further, still, many companies are still relying on their IT teams for generating monthly reports. The result is that the business users get stale data and boring reports that they don’t know how to use. The reports often depict what happened in the previous month rather than giving insights about trends, opportunities, and threats. Business users need fresh, real-time insights to make an impact before their competitors do. Data visualization tools, once implemented will churn out endless insights in real-time. Business users can easily access, explore, discover, share and innovate with the data at hand without getting into the technicality of the back-end. Visualization enables them to clearly see the trends and predict the best course of action.

  1. Do you have data from multiple channels and mediums and you want to find correlations?

There is so much data available today that it becomes almost impossible for the users to find correlations among those data sets. For seeing the correlations, the data has to speak the same language and words and then be juxtaposed upon each other. It becomes even more challenging where there are tens or hundreds of data channels that have to be correlated. Data visualization is the perfect solution if you are looking for making data correlation easier and faster.

  1. Is analyzing data, not your forte?

Data is only useful when it can be used! Business users often shy away from cumbersome reports and use gut-feel to make important business decisions. Due to the complexity and volume of data at hand, users who do not have analytical knowledge, end up not using the data at all. Data visualization can increase the usage and adoption of data and data-driven insights for daily decision-making across your organization. It’s obvious; people always chose the simplest and the most beautiful path.

  1. Do you want to discover new insights and patterns from data?

Raw data can speak a thousand words, but those words are scattered everywhere and they need to be put in some form to identify patterns and trends. Data visualization is a great solution for discovering, identifying, exploring and doing a drill-down analysis to find various patterns that emerge when you bring different data sets together. Patterns become easier to identify when they are in the form of charts, graphs, meters, etc., as opposed to long worksheets of numbers. And since, one source of data can be integrated with other sources through data visualization tools; it becomes easier to see the impact of one channel on the other.

  1. Do you want to put your ideas across emphatically?

Has it happened to you that you spent the whole week crunching numbers to prepare, what you thought, was a powerful presentation; but during the meeting, the attendees were disinterested or confused while looking at the numbers you presented? What if you had beautiful yet accurate representations of data in the form of visuals in attractive colors? Data visualization tools are a great aid and come in handy for top level managers to showcase their ideas more convincingly.

  1. Do you want each business user to access only relevant and useful data?

In many organizations, a single analytics report is prepared which touches upon a lot of aspects and is circulated across the users. This results in business users getting data that they have no use for. What you need is a data visualization tool that users can log into and get to access only the insights that they need for making decisions pertaining to their field of interest. It should also allow them to drill down deeper within that data to find new insights. This will increase the relevancy and adoption of data.

  1. Do you want to reduce your dependence on your IT team for getting reports?

Is your IT or analytics team still preparing weekly/monthly reports for you? Often these reports turn stale after a while and any new change or addition takes time to materialize. Moreover, these reports just state the facts that happened over a period of time, without helping in identifying any trends or correlations. If you implement a data visualization tool, the dependency on the IT team is significantly reduced. Each and every end-user can get access to elaborate data and insights anytime without waiting for the IT team to respond.


Effective data visualization can take your organization closer towards becoming data-driven in every aspect. It can help in increasing adoption, access, and utilization of data for making everyday business decisions for every user in the company.

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