Advice From The Community

Read answers to top Data Visualization questions. 431,175 professionals have gotten help from our community of experts.
Rony_Sklar
There are so many data science platforms to choose from. Which platform would you recommend to enterprise-level companies that want flexible and powerful data visualization capabilities to drill down into the data? What makes the solution that you recommend a better choice than others?
author avatarGavin Robertson
User

Need to address basic data issues, e.g., quality, standardization and security, and MDM first, to obtain meaningful data visualization and single entity views, e.g., customer, patient and product. Ideally, a visualization tool should be able to interact with a backend actionable data catalog driven by data virtualization/federation either directly or through data provisioning. Power BI, QlikView and Tableau are excellent standard data visualization tools. Cambridge Intelligence's KeyLines is an excellent interactive graph visualization tool.

author avatarJorge Barroso
Consultant

In my case, I can recommend Power BI, that works very well with a lot of database. It shows very good visualization graphs that allows to create many dashboards easily and connect with many data sources that can work very good to present, share and compare data thought the company and with users.

author avatarWillie Jacobs
Real User

We have been using Qlik Sense for the past 2 years and purchased but never really used Qlik View before that. We have used excel extensively and seen demos and tried Power BI and looked at demos for a couple of other BI tools.
We settled on using Qlik Sense as our Reporting, BI and Analytics tool due a very successful proof of concept delivered by our Qlik consultants.
Qlik Sense gives us the ability to visualize our data in various ways from simple bar and line charts or combined to scatter plots, mekko charts, funnel chart, pie charts, gauge charts and KPI items. Visualization options include table and pivot table that can be utilized to display detailed data. Visualizations also include a map chart that can be used to visualize various map layers with to display movement, density, are and points. This has been extremely valuable being from a logistics company.
I would therefore recommend Qlik Sense for the best visualization capabilities.

author avatarPeter Eerdekens
Real User

QlikSense. The associative analytics engine makes it kind of child's play to combine multi-source data and in combination with the augmented intelligence features QlikSense helps to create analytics and visualizations faster.

author avatarreviewer1066977 (Solution Architect/Technical Manager - Business Intelligence at a tech services company with 5,001-10,000 employees)
Real User

Now a days lot of visualization tools coming in the market, its difficult for anyone to choose from these variety of tools. However there can be various parameters which will help choose right set of Visualization tool for your requirements.
1. User Friendliness
2. Self Service Capability
3. Connectivity / compatibility with different systems that are available in the market
4. Compatibility with Cloud service providers
5. Relational, big-data systems and data lake connections, AI-ML and predictive analytics capabilities
6. License Cost 

I would recommend Power BI and Tableau as they provide lot of features and visualizations to choose from, with reasonable cost and connectivity with major systems.

author avatarTerry Dougal
Real User

For cost and capabilities, it' Looker.
I've used many softwares and this one seems have the best security, features and ease of use for the end user. 

author avatarVictor Feria
User

There are powerful options. QlikView, Tableu and PowerBi offers agile implementation.

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What is Data Visualization?

Data visualization tools enable end users to present data sets in graphical form, typically as part of a report creation function. As organizations grow more data-driven, there is a compelling need for data visualization tools that can be used by non-technical employees. This represents a transition in the category. The previous generation of data visualization software packages were designed for use by experts. Now, the average end user needs to be able to create high quality visual displays based on large and complex data sets. A good data visualization tool can help transform that raw data into visuals that are easily digestible, oftentimes highlighting conclusions that were not previously apparent.

Selection preferences for data visualization packages revolve around ease-of-use. However, as IT Central Station members comment, the ease-of-use concept extends beyond basic user experience.  For example, users want an easy-to-use API which makes it possible to connect the tool to multiple data sources without excessive administrative overhead.

Ease of use also implies a tool that could be learned and then deployed easily without a lot of technical expertise. A simple drag and drop hierarchy creation is another desired feature, once again making it easy for non-technologists to create effective visual displays of data. Or, having story creation helps end users build reports that put meaning into otherwise opaque data. Some users express a preference for tools that can create visualizations built for the web.

Performance and the ability to handle large datasets are valued by prospective users.  How well the tool deals with multi-tenancy visualization plugin support also factor into selection. Some users are pleased with a tool that doesn’t try to do everything for everybody. Focus counts. Time to deployment also matters, along with ease of implementation. Large data sets figure into a preference for data visualization tools with high query speed. An end user might be querying a data source millions of records. If this process takes too long, productivity suffers.

Find out what your peers are saying about Tableau, Qlik, Domo and others in Data Visualization. Updated: July 2020.
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