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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.
Data Visualization Reviews
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Business Intelligence: Raw Data or Strategic Analytics'
There is a big difference between corporate information and Strategic Knowledge. Corporate Information usually consists of internal raw data while Strategic Knowledge is the business wisdom necessary to achieve profitable growth... more>>
VIA or Visual Intelligence and Analysis provides training from basic to expert level using Tableau as well as technical data preparation skills when the data are not Tableau ready.
Training and documentation is available in English, Spanish and French.
Specialties: Subject Matter Expertise... more>>
An experienced and ambitious BI Lead, with experience in the Financial Services and Technology industries. With advanced analytical skills developed in Banking & Insurance, coupled with leadership of data warehousing programmes. I specialise in transforming information into value adding... more>>
Dynamic 9 years of IT career, reflecting progressive experience and performance in the computer and Internet industries. Specialized in providing cutting-edge solutions to traditional Security issues; establishing strategic ideas in various domains and demonstrating self-motivation, creativity,... more>>
With over two years of rich experience in business development, designing and developing of Business Intelligence applications, Balance Scorecard Sheets along with good exposure to industry specific Key Performance Metrics in Financial, Insurance, Investment, and E-Commerce Sectors.
I seek to... more>>
Experienced professional with blended knowledge in visual analytics development, statistics, logistics and operation optimization.
Specialized in translating user requirements into tangible visualizations to track performance, detect outliers and perform root cause analysis.
Highly skilled in data exploration, analysis, visualization and presentation. Experienced in descriptive, behavioral and predictive customer analytics using industry standard tools and processes (SQL, R, Rapid Miner, MS SSAS, MS Excel). Highly skilled in guided analytics,... more>>
An astute data analyzer and visualization expert with sound knowledge on BI solution development and implementation. Rich experience in catering to business verticals in different industries with normal to highly complex data intricacies and reporting environment.
Specialties: Business... more>>
10 years business experience in life insurance industry, followed by 15 years experience as an analyst developer in a wide range of technologies, including:
COBOL, PL1, CICS, Mantis on IBM mainframe
C++, Java, VB(6)
Currently working as a lead analyst and developer in Business Intelligence,... more>>
8 years of experience in several sectors in information systems, mainly in conception of BI solutions and financial software. Capable of addressing an entire project lifecycle from requirements gathering to testing and deployment.
I have more than 10 years of experience in Data Warehousing and have worked extensively in Informatica, OBIEE, Business Objects, Talend and Tableau. Motorola has been my client for all these years. I've worked in various data warehouses of Motorola (Mobility).I've extensive experience in working... more>>
Vast experience in IT, having been involved in the sales & marketing of IT hardware and eventually moving more into the distribution of software, from Microsoft Office solutions, to SPSS statistical software, and finally to analytics.
As a consultant, I enjoyed working with governments of... more>>
A keen problem solver with an enthusiasm in the analysis and visualisation of data. I have worked in the fields of retail locations and digital media and am interested in the integration of a wide range of data to create usable insight that can help to contribute to the organisation.
I have a... more>>
• More than 6 years of IT industry experience in Mainframe technologies & Data Quality tool Trillium Software Systems.
• Have worked on variety of projects of Banking and Financial Services, Insurance Sector and Aviation Sector for clients such as First Data Merchant Services and JP Morgan... more>>
• Gaur is a Freelancer in Information Technology experienced with the latest trends and techniques of the field, having an inborn quantitative aptitude, determined to carve a successful and satisfying career in the IT industry.
• Technically competent Datawarehouse consultant (DW/BI) with... more>>
Following are the areas I work in :
Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing... more>>
Arnab has wide experience in Information Management and Business Intelligence. He has lead multiple projects as a solution architect defining architecture of multi-terabyte Enterprise Data Warehouse and BI applications.
He has worked on multiple technical platforms including Informatica... more>>
Over 3+ years of experience in Database Development, Database Administration, Business Intelligence Solutions and Web Development. Extensive experience in SQL Development, Reporting Services (SSRS), Integration Services (SSIS) and Analysis Services (SSAS). Expertise in creating reports,... more>>
First in Theoretical Physics with 2 years post-grad study of quantum mechanics and general relativity.
Founded Butler Group - Europe's largest indigenous IT analyst firm until acquisition by Datamonitor in 2005.
Founder of Butler Analytics - dedicated to analysis of analytics technologies and... more>>
BI Consultant, Author, Trainer on Tableau Software, Speaker
Over 40 years in business. Owner of BIAlytics: a one man business intelligence and data visualization consulting company, based in Turlock CA, with clients in the USA, Canada, and, Europe. The company name means “Better Insights through Analytics”. I do consulting, training, and speaking... more>>