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Tableau helps people to reach insights and collaborate meaningfully
2015 was a year of momentous change in the world
of data and business intelligence. People started
exploring their data with visual analytics. Companies
are recognizing the fact that interactive data
visualization as one of the top five trends cited by
Gartner is changing business intelligence. New
conferences and events have started to promote
research and best practices in this area, including
VAST (Visual Analytics Science & Technology),
organized by the 100,000 member IEEE.
Technologies based on visual analytics have moved
from research into widespread use in the last five years, driven by the increased power of analytical
databases and computer hardware. The IT departments of leading companies are increasingly recognizing
the need for a visual analytics standard.
With the rise of “big data,” information visualization is emerging as an area that no one can ignore.
Institutions are finding that key stake holders want to be provided with metrics when being asked to make
decisions. There are challenges in this data-rich environment: providing the proper amount of information
for each stakeholder in the organizational hierarchy and finding a way to translate data into easy to
understand terms.
Visual Analytics aims at turning the data overload problem into an opportunity. Its goal is to make the
analysis of data transparent for an analytic discourse by combining the strengths of human and electronic
data processing. Visualization becomes the medium of a semi-automated analytical process, where
humans and machines cooperate using their distinct, complementary capabilities to obtain the most
effective results. The user has the ultimate authority in determining the direction of the analysis.
The greater emphasis on the ease of use and visualization when it comes to business intelligence software
has fueled growth for Tableau. Most traditional business intelligence platforms only help people answer
predetermined questions. They are report-centric and focus on enterprise IT requirements. This mindset
is changing, and data discovery is gaining strong traction in the market. Data discovery involves exploring
data freely, discovering insights from a set of data and analyzing and presenting those insights in an
interactive and visual format. Data discovery makes it easy for business users without any technical skills
to run queries and analysis. The users can learn at each step of the process and can come up with the next
steps on their own. Tableau has been a leader in data discovery with its business discovery platform and
has been featured as a leader in Gartner’s Magic Quadrant for Business Intelligence and Analytics
Platforms for the last three years. Tableau’s in-memory computing technology is complementary to data
discovery. It reduces the number of data transactions required while analyzing data by storing the entire
database in random access memory which is more accessible to the processor. According to Markets and
Markets, the n-memory technology market will increase from $2.2 billion in 2013 to $13.2 billion by 2018
due to decline in the cost of semiconductor technologies and rising need for real-time data analysis and
managing voluminous databases.
Who is adopting visual analytics?
Visual analytics is being adopted by the world’s leading companies, universities and government agencies.
From the world’s largest and most innovative organizations – Proctor & Gamble, Apple, Pfizer, Microsoft,
Coca Cola, Google, Cornell University, Progressive Insurance, Amazon, Georgetown University, the VA
(Veteran’s Administration), Blue Cross Blue Shield – to one-person consulting shops, visual analysis tools
are now mainstream.
Eventually to have an overview of your data and get the meaningful insights visual analytics can be the
best choice.
Source: Bodhtree Data Analytics Solutions