Every business is different, and needs will vary, but some of the features needed are similar across industries. You need Big data to drive real business insights. After this, you need to embed those derived insights into your web pages or any social media channel to demonstrate everything to your target audience adequately.
When embedded seamlessly into business software, these tools can facilitate easy, actionable, real-time decision making that will ultimately benefit the business. The right tools can make the process of sharing and embedding the reports easy and straightforward. Real-time decision making necessitates real-time inter-team and intra-team collaboration in any business. It helps draw conclusions that each team member can access instantly, offers better visibility, and keeps everyone on the same page.
The motive of any business is sustainability and profitability. You can achieve it only if you continue to grow and scale up your business. Your business may be small today, but the tool you use needs to be able to scale-up and meet the growing demands of your business. AI is the next big step in technology. It can facilitate easier data analysis and can help predict trends and prescribe necessary changes. Therefore, integration with AI in your visualization tool can prepare your business for the future.
Apart from these, some of the other features you should look for include customer service, streaming data support, interactive exploration, dynamic infrastructure, and more. Used by over , developers across 28, companies, FusionCharts is one of the best in the market right now. With their interactive and responsive charts, extensive documentation, and consistent API, the dashboards provided are one of the finest.
This is an example of its dashboard that monitors the energy used. The dashboards are incredibly informative, detailed, and specific. Its USP is cross-browser support, that enables anyone to run interactive visualization. Datawrapper is a free, browser-based data visualization tool that is suitable for almost every industry.
The dashboard provides a comprehensive overview of the problem at hand. Moreover, it makes it easy to depict different varieties using colors, fonts, and shapes. These were some of the best data visualization tools out there. These tools will help you make your presentation smarter and more interactive, allowing you to grab the attention of your target audience. If you require only basic charts and are tight on budget, then you have plenty of options, including Leaflet , Chart.
However, if you require advanced features and have a decent budget, then you might want to try out more credible and popular data visualization and business intelligence tools like Databox , Tableau , Datawrapper , Zoho Analytics , and more. These tools are suitable for both mid-sized as well as large enterprises. Whether using Apple, Microsoft Windows, or even Android devices, these tools help you extract raw data from multiple databases and present them in a simple manner.
Which of the above data visualization tools are you planning to use? Let me know your feedback in the comment section below. Further Reading on AdamEnfroy. With over , monthly readers , my mission is to teach the next generation of online entrepreneurs how to scale at startup speed. Disclosure: I may receive affiliate compensation for some of the links below at no cost to you if you decide to purchase a paid plan. You can read our affiliate disclosure in our privacy policy.
This site is not intending to provide financial advice. This is for entertainment only. Your email address will not be published. This site uses Akismet to reduce spam. Choosing the right visual aid is the key to preventing user confusion and making sure your analysis is accurate. There are myriad different types of charts, graphs and other visualization techniques that can help analysts represent and relay important data.
This is one of the most common types of data visualization tools. You can also use a column chart to track data sets over time. A column chart will include data labels along the horizontal X axis with measured metrics or values presented on the vertical Y axis, also known as the left side of the chart. You can use column charts to track monthly sales figures, revenue per landing page, or similar measurements. Consistent colors help keep the focus on the data itself, though you can introduce accent colors to emphasize important data points or to track changes over time.
You can often use a bar graph and column chart in the same way, though column charts limit your label and comparison space. In this case, your data labels will go along the Y-axis while the measurements are along the X-axis. Are you comparing many different items? If you removed the color from this chart, it would look similar to a standard bar chart. These colors map back to a legend that accompanies your map.
For example, you might want to track the performance of four different types of products across five different sales strategies. Strategy 1 through Strategy 5 will be at your X-axis, while sales numbers will be on the Y-axis. Each represents one of the product types. This way, you can determine which strategy worked best for each product type as a whole, as well as which products did well within each strategy.
A line graph is designed to reveal trends, progress, or changes that occur over time. As such, it works best when your data set is continuous rather than full of starts and stops.
Like a column chart, data labels on a line graph are on the X-axis while measurements are on the Y-axis. Make sure to use solid lines and avoid plotting more than four lines, as anything above this can be distracting.
While most visualization charts use a single Y-axis and X-axis, a dual-axis chart incorporates a shared X-axis and two separate Y-axes. As our brains are more inclined to read from left to right, it helps to make the left-side Y-axis the primary variable.
Wrike makes it easy to create tasks and workflows, and then manage these tasks visually in a Gantt chart or calendar format. Data visualization is also a strong point for Wrike, which lets you set up custom dashboard items that visually show the progress of key project metrics. In one quick view, you can see the status of each area of the project.
Furthermore, Wrike is highly scalable, with many integrations to other platforms and support for large teams. If you want everything in your project management software, including a host of data representation options, Targetprocess is for you.
Taking a dashboard approach but also working in Kanban and Gantt chart formats, Targetprocess basically gives your project the full suite of features. Complex task lists can be configured and rearranged, and it comes with a multitude of data representation views that can be added to the dashboard for quick progress assessment.
Targetprocess is geared towards agile software development projects, and it can be overwhelming in its feature set and clunky in its interface, but this solution visually represents data in more ways than rivals, and does everything a software project manager could want. North America.
The best data visualization tools make it simple and easy to communicate business insights to stakeholders from raw data. Make charts, presentations and dashboards with this flexible software. The visualisation library and online chart creation tool allow you to make great-looking graphics.
DataHero enables you to pull together data from cloud services and create charts and dashboards. No technical abilities are required, so this is a great tool for your whole team to use. Although armed with only six chart types, open source library Chart.
Read more about how to use Chart. Packed with graphs, charts, maps and more, Tableau Public is a popular data visualisation tool that's also completely free. Users can easily drag and drop data into the system and watch it update in real-time, plus you can collaborate with other team members for quick project turnaround. Open, customisable, and free to download and modify, RAWGraphs lets users create vector-based data visualisations.
Data can be safely uploaded from apps to computers, plus it can be exported as an SVG or PNG and embedded in your webpage. Dygraphs is a fast, flexible open source JavaScript charting library that allows users to explore and interpret dense data sets. It's highly customisable, works in all major browsers, and you can even pinch to zoom on mobile and tablet devices.
0コメント