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“Which trends are there or will there be in the future? And which of these are relevant to us?”
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Data visualization positively affects an organization’s decision-making process with interactive visual representations of data. Businesses can now recognize patterns more quickly because they can interpret data in graphical or pictorial forms.
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Adopting visual data discovery, business organizations improve their ability to find the information they need when they need it and do so more productively than other companies.
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We Solve

Data Visualization Challenges

Make the information interesting … but accurate? That’s the challenge in Data Visualization.
  1. Selecting proper visual metaphors – The choice of graph, color, or even chart junks are the factor we take into consideration when we start working on the design
  2. Legibility without too much reliance legends and labels – The best practice is the information should be understood by just looking at the graphic
  3. Data density and credibility – Our eyes can detect fine differentiations in tone, line widths and shapes within a small space, thus people can see large amounts of information in a single graphic

Business Running At Pick Performance

Speaking of software, business tracking is just one way to utilize technology. If you are not taking full advantage of technological resources, you are losing money. Creating stacks of paper to manage projects is no longer necessary with online project management, where employees can communicate, track progress, make to do lists, and parcel out the workload.

Business Intelligence Process

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    Information gathering

    During the information gathering stage, data is either prepared from existing sources (existing contact data, ERP data, financial database) or collected externally through the use of in-person or online surveys, polls, questionnaires or forms.

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    Analysis

    This is one of the key areas of turning raw data into information. BI makes it easier for the user to explore the data and turn it into useful information.

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    Reporting

    Once data has been analyzed it needs to be reported on. Reporting is the act of taking the analyzed data and presenting it in a way that makes a human connection, or some sort of focus where advantages are to be gained through actions.

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    Monitoring and Prediction

    Business Intelligence is a circular process, and therefore the forth stage of monitoring and prediction can flow on back to the first stage, being information gathering.

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