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Tag: Data Visulization

Top 10 Data Visualisation Tools

Posted on by Imarticus

 

Top 10 data visualization tools

As the internet and technology become more complex and multi-faceted, there is a significant increase in data across industries. Data storytelling is an intrinsic part of any business, whether big or small because the truth lies in the numbers! Visualizing this data is far from easy, but with the advancement of intelligence, there are tools aplenty that help visualize data, track key information and build business and strategic solutions to scale.

An effective data visualization tool is one that allows users to choose from visually stimulating displays of data and track trends in your industry or field– all the while being easy to use. Here are the top 10 data visualization tools that you need to step up your analytics game:

  1. Sisense

Sisense uses agile analysis software, making it one of the most common names in the data analytics field. With an easy-to-use drag and drop interface, Sisense allows you to pull out key data from a big dump and arrange it in the form of dashboards and graphic presentations. Their interactive dashboards feature allows sharing between individuals, clients, and organizations.

  • Periscope Data

This powerful analytics tool allows users to compact all data sources into one functional dashboard. Entire organizations can share data on Periscope, making it perfect for dynamic work environments. Their custom visualization feature allows those familiar with R and Python to create interactive displays of data.

  • Zoho Analytics

In Zoho, the spirit of collaboration is strong. The business analytics platform uses tools to generate valuable data reports. What’s more, users can embed these reports directly into blogs, websites and landing pages for easier sharing with a customer or client base.

  • Tableau

Seamless transitioning from desktop to mobile is the draw of this business intelligence system. Flexible data approaches allow users to select from pre-designed approaches to bring up a report or data representation that’s unique to a company. Their 24/7 technical help center and drag-and-drop interface also earn it brownie points.

  • Microsoft Power BI

From the tech titan Microsoft comes the Power BI, a whole suite of business analytics tools that quickly convert complex data into interactive visuals. It’s also one of the more affordable options– its free version allows individuals to play around before dropping any money on it.

  • Klipfolio

Klipfolio is special in that it’s connected to a repository of not less than 500 data sources– some web-based such as Google Analytics and social media platform Twitter, and others ‘in-house’. Its customizable dashboard and pre-built templates allow for quick and easy data visualization for beginners.

  • IBM Watson Analytics

IBM Watson is definitely one of the more commonly-known business intelligence software. The tool allows for custom dashboards and a list of templates facilitate easy report creation. The intelligent software answers your questions when you type them in and three different packages allow any organization, from small-scale to enterprise, to play around on it.

  • MATLAB

MATLAB is one for the diverse range of users– amateurs to tech experts. The data analysis tool can rope in data from various sources and deliver real-time updates. Its in-built graphical tools allow for quick and steady designing of visuals and reports. The analytic algorithm itself can be played around with– only minimal changes to the program required.

  • SAP Analytics Cloud

This software is packed with collaborative tools and events management features. Import and export tools allow users to download and share spreadsheets, graphics, and visuals. The real-time analytics can be used to generate forecasts for your next big business strategy. Further, the system allows teams to set up processes and events.

  1. Kibana

A data visualization and analysis software, Kibana is equipped with a unique feature– Elastic Stack– that facilitates observation of different data sources for comprehensive or real-time reports. Its anomaly detection feature makes it a running contender against all other big data names out there.

Good data visualization software opens up conversations within organizations and represents complex data in clear, effective and interactive manners. Dashboards, graphics, and interactive reports allow viewers to engage with data, facilitate deeper learning and show progress and statistics.

Over time, effective data visualization tools allow companies to track progress, forecast key events and generally maintain terrific records of their data in crystal-clear formats.

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How To Improve Your Supply Chain With Data Visualization Techniques?

Posted on by Imarticus

Simplifying Supply Chain Management

If you have ever ordered a tangible good and got it within the stipulated time it’s because of a good supply chain management process in place by the company you ordered from. Supply chain management entails how a product is transferred from point A to point B, where point A is the place of storage and point B is the customer’s delivery address.

Supply chain management starts from the grassroots level, from sourcing raw materials needed for production to delivering it to the end consumer it covers every aspect of the product movement. The people working to manage the supply chain process have to carefully monitor the entire flow of goods and have to devise a strategy to help propel efficiency and productivity in the process.

The process has in its purview various sub-segments like sourcing, demand planning, inventory management, and logistics, the aim is to make the process smoother by individually focusing and renovating outdated methods of sourcing and distributing products to the end consumer.

The benefits of supply chain management range from increasing efficiency, cost minimization, and profit maximization to better demand planning.

All your e-commerce shopping expeditions are made possible because there is a supply chain process working 24 * 7 to facilitate your shopping spree.

What are data Visualization techniques?

With the advent of big data and the demand to present it to probable beneficiaries, the importance of presentation and formatting of data is utmost. It helps to weed out the unrequired information and highlight the ones that help the end-user to gain better insights.

The end goal of providing any data to the user is to allow them to gain valuable insights and take action using the same. Data visualization training deals with how to present the data in an attractive format to grab the user’s attention in a jiffy and help them to implement changes through the knowledge obtained.

Data digestion is important for the end-user to act upon the information, with so much information available on the World Wide Web, obtaining useful data can be tiresome and lethargic. The challenge for the data developers is to make it catchy for the eyeballs.

According to psychologist data visualization techniques help the user to learn better, photographic memories tend to last longer than plain texts.

Externalities like bad weather or accidents have a major impact on the timings of delivery and transportation of goods. To take into account such external factors the data visualization techniques help in mapping the geography and its indigenous externalities based on past records that might influence the transportation and shipment process.

Data visualization techniques for SCM improvement

Data visualization techniques help to improve and renovate the supply chain dynamics on a macro scale of things. Supply chain management has various components, from demand planning to doorstep delivery, everything can be perfected with data insights.

Let’s understand how data visualization improves supply chain management. So if we trace back to the core of the supply chain it all breaks down to identifying the perfect routes. Data visualization techniques can help to identify and demonstrate the details of the route and the alternatives present transport a product from point A to point B.

Plotting the complex relationship between various data points related to supply chain management through network charts and flow charts the pictorial representations enriches the content of the data.

Now the data regarding the routes might include the distance covered, time taken, traffic congestions, road construct, etc. So for identifying the perfect route, you have to factor in for all these elements and then reach a conclusion. How tiresome will be to dive deep into the subject matter? There come to visualization techniques that will help to put out the information in a precise manner catering to the needs of the user.

According to various research related to data visualization, it was found that companies are spending more on the use of immersive visual ecosystems to better their data visualization for the supply chain management. The benefits of the same have been reaped in the form of better inventory management and improved performance.

Conclusion

The implications of data visualization techniques in the field of supply chain management are enormous. From reducing time to analyze complex data to making more informative changes in a complex variable scenario the data visualization technique has changed the supply chain management landscape drastically. Improving the duration of transportation and delivery of products based on data insights factoring in various elements that might affect the situation.