The Visual Data Discovery Tool

| Allows users to organize data in rows and columns and perform calculations and recalculate when data changes.

Importantly, we will create visual representations of the data/insights to enhance interest and interactivity. These will result in the creation of such artifacts as:

Data is ever increasing. We need a system to represent, store and manipulate complex information, detect correlations and patterns, construct data models etc. Furthermore, being independently maintained, data can change in time or even change its base structure, making it difficult for modelling systems to accommodate these changes. Current representation and storage systems are not very flexible in dealing with structural changes and also they are not powered with the ability of performing complex data manipulations of the sort mentioned above.

One of the most common technology used for outlining subconsciously using graphs, bar charts, especially the one that shows all the information in the order, or bar charts, histograms, which is among a wider group.

quickly generate the reports and graphs of long statistical data by using different analysis variable. This helps the user to get the desired outcome in short span of time with less use of computing skills and knowledge which means the user doesn’t have to be a computer genius to get the reports that are necessary for the decision-making.

This week's chapter mentions the use of visual aids to add value and understandability to business reports. Data visualization, as used in the example you provided, gives an excellent example of how presenting complex and great sets of data can be simplified with

In order to properly analysis a graph, one has to consider all aspects of the visual analysis. Cooper, Heron & Heward (2007) states that a person has to “determine (a) the number of data points, (b) the nature and extent of variability in the data, (c) the absolute and relative level of the behavioral measure, and (d) the direction and degree of any trend(s) in the data” (p.150). Trend level (c) and variability (b) are the two visual analysis that this paper will focus on. It’s imperative that a researcher consider the importance of variability because this shows how much control they have over the factors that influence the behavior. In this particular graph, there is a high degree of variability. In the baseline data, the duration of the

QLik – Based in Radnor, PA – Qlik’s Business Intelligence solutions allow the use of collecting real time data as well as data visualization and analytical processes. The platform can be tailored to a specific business function or industry for simplified customization. The platform does not require a data warehouse and can incorporate all of the user’s data into Qlik’s indexed data engine. It is a self-service analytics and visualization tool that simplifies data exploration for the novice to experienced users.

Ordinary citizens tend to use the vis tool, in a discover and enjoy style fashion. The citizen would be looking at the analytics of the vis and comparing the charts to find out what different areas are like. By enjoy style, the user would be reading the information provided by the vis and in which they would be discovering something new about what is happening within their area, if an increase or decrease of a particular type of crime.

The healthcare industry is producing a rapidly increasing amount of data on a daily basis over the last decade. Visual analytics is an outgrowth of the fields of visualization and analytics that has the ability to turn this massive amount of data into an asset and create opportunities from information overload. The goal of visual analytics is to make the method of processing information transparent for analytics disclosure. As defined in (Keim et al. 2008), “Visual Analytics will foster the constructive evaluation, correction and rapid improvement of our processes and models and ultimately the improvement of our knowledge and our decisions”.

Organizations rely on data analysts to model customer engagement, streamline operations, improve production, inform business decisions, and combat fraud. Numerous analysis and visualization advanced tools available for analysts to work, but there are little research goes on how analysis happens in companies. To better understand the enterprise analysts’ ecosystem, we conducted semi structured interviews with 35 data analysts from 25 organizations. Based on our interview data, we characterize the process of industrial data analysis and document how organizational features of an enterprise impact it. We describe recurring pain points, outstanding challenges, and barriers to adoption for visual analytic tools.

These tools should reduce complexity through aggregation, organize information through categorization, and make options for action systematically visible.

In the high-velocity data driven world we live in, many CEOs Enterprises want an integrated supply chain where they can have real-time intelligence and visibility across the entire network to ensure they can make effective decisions and actions . New information technologies are giving companies real-time insight into not just business activities, but what their customers need and what products and services they can offer them. Consolidating contextually relevant information into a single, customizable, dashboard has become vital for ensuring businesses can quickly respond to customer and market demands. Further, Uuser Interfaces are becoming clean and easy to use and customizable customized to fit the way each user interacts with the system. Executives and employees no longer want to search through files,

18. Although a flowchart (as its name suggests) depicts data flow very well, it is not easily

Common Elements – It gives the information about Navigation throughout the tool, how to run the search queries, the datasets, how to download dataset into Excel Sheet and PDF Format.