What is Data Visualization ?
Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.
Why Data Visualization ?
A primary goal of data visualization is to communicate information clearly and efficiently via statistical graphics, plots and information graphics. Numerical data may be encoded using dots, lines, or bars, to visually communicate a quantitative message. Effective visualization helps users analyze and reason about data and evidence. It makes complex data more accessible, understandable and usable. Users may have particular analytical tasks, such as making comparisons or understanding causality, and the design principle of the graphic (i.e., showing comparisons or showing causality) follows the task. Tables are generally used where users will look up a specific measurement, while charts of various types are used to show patterns or relationships in the data for one or more variables.
Data visualization is both an art and a science. It is viewed as a branch of descriptive statistics by some, but also as a grounded theory development tool by others. The rate at which data is generated has increased. Data created by internet activity and an expanding number of sensors in the environment, such as satellites, are referred to as "Big Data". Processing, analyzing and communicating this data present a variety of ethical and analytical challenges for data visualization. The field of data science and practitioners called data scientists have emerged to help address this challenge.
Because of the way the human brain processes information, using charts or graphs to visualize large amounts of complex data is easier than poring over spreadsheets or reports. Data visualization is a quick, easy way to convey concepts in a universal manner – and you can experiment with different scenarios by making slight adjustments.
Data visualization can also:
- Identify areas that need attention or improvement.
- Clarify which factors influence customer behavior.
- Help you understand which products to place where.
- Predict sales volumes.
Unicom Shall be Organising 1 day Event on Data Visualization on April 21 in Bangalore. This event is desgined after lot of research, advise from industry experts and voice of customer.
This event will bring together industry professionals and thought leaders from the field of Data Visualization. It will help you in understanding and implementing data visualization in your business/for your client . It will also provide an excellent opportunity to interact and network with some of the top minds.
In Data Science data visualization is considered as an art rather than a science topic. Good data visualization method is a two way process in communicating information to the audience, clear messaging and clarity of thought can be provided through proper data visualization. There are enterprise based tools as well as open source tools, which can be used for creation of good data visualization. In this talk I am going to display some crazy visualizations that can be prepared using R and Python libraries.Speaker Profile
Pradeepta is a Data Scientist with 11 + years’ experience into Predictive Modelling, Machine Learning and Text Mining and Sentiment Analysis in Healthcare, Retail and E-Commerce Domain, mentored close to 10 projects that involves Data Science, Machine Learning and Artificial Intelligence. He is a visiting faculty in some of the premier institutes including management and technology. Video Link of my best-selling book "R Data Mining Blueprints": https://www.packtpub.com/big-data-and-business-intelligence/advanced-data-mining-projects-r-video, Kindle Version and Print Version of my Book: https://www.packtpub.com/big-data-and-business-intelligence/r-data-mining-blueprints, Upcoming Book(Available for Pre-Order): https://www.packtpub.com/big-data-and-business-intelligence/mastering-r-data-science, Holds a Patent as lead Inventor (current status-Pending) for developing a new algorithm to address the issues in assortment optimization and store space planning based on linear and Non-Linear product substitution. A practitioner in Machine Learning Techniques, Deep Learning Modules, Support Vector Machines, Random Forest and Decision Tree modules, Ada boost, Gradient Descent, Carts , Forests and Neural Networks, MARS and Stochastic Gradient Descent etc. A Practitioner in Text Analytics, Recommendation Engines, Collaborative Filtering, Sentiment Mining on Twitter Data and Facebook Post Analysis, Social Network Influencer Analysis. Has good hands on experience on Big Data Tools including R-Hadoop, Spark, Spark-R, Apache Mahout, Weka, R-Weka, Knime, Octave, Curl, he knows languages such as R, Python, Linux, has complete hands on data Visualization Tools: Tableau, R-Visualization, Python data visualization
How do you make sense of information when the digital universe is doubling in size every two years? Not by doing the same old thing reading rows and rows of data, painstakingly combining information from different sources, or having a select few use complex tools and processes to find and distribute insights.
Instead, see the signals with visual analytics, which allows you to make sense of the digital universe through fast, easy access to any data, from any source, on any device—so you can easily see value, quickly combine data, and find and share insights no matter where you are
See a real life example of How Data Visualization is helping a Matrimonial Website to increase its revenue and find right Target customers
Madhusudhan is a part of Oracle Startup Cloud Accelerator working as in-house Technical Mentor helping startup companies in their mission and vision. He specialize in various cloud technologies across all the layers of SaaS, PaaS and IaaS specifically using Oracle Cloud.
Previously he was part of Oracle EMEA and North America Technology Sales Engineering Organization. He have been at Oracle for last 9+ years and working in IT industry for over 17 years. As a technology Sales engineer he has contributed on many million deals working with more than 400+ Oracle customer & Partners.
He brings Oracle’s Value selling techniques, Enterprise Architecture practice and leadership qualities into his customer engagements.
Before joining Oracle he was Technical Manager in HCL Technologies and Product Manager in SRIT. He has also authored Book on Oracle BPM for Financial services
Machine learning algorithms are increasingly black-box models. However, their outputs are business data that humans need to understand and act upon.
For example, if a clustering model suggests 4 customer clusters, how do we identify and characterize these? If a random forest model suggests a pattern of classification, how do we understand the dominant factors and the irrelevant ones?
These topics fall under the umbrell of model visualisation -- where the inputs, process and output of machine learning models are the topic of understanding.
This talk explores some of the prevalent ways of visualising machine learning models.
Vivek is a Data Enthusiast by heart. He extremely enjoy applying his data analysis skills to extract insights from large datasets and visualize them in a meaningful story. He is an MBA graduate and is currently working as Data Consultant with Gramener.
He likes to apply his analytical techniques in different fields like social networks, marketing, finance, patents, among others
Time is an special dimension that is common to many application domains such as business, machine data or even history. Understanding time-oriented data enables us to learn from the past in order to plan for the future. Due to the characteristics of time, especially high volume data coming in from machines, appropriate visual and analytical methods are required to explore and analyze them. This talk will cover the overview and some interesting examples from the domain.Speaker Profile
Kapil has 11 years of industry experience, he works as Lead for Analytics and Visualization at Citrix focusing on Networking and Security products. Before Citrix , He has served as Enterprise Architect at Intel, where he led the architecture and design of platform to accelerate development of visual analytics apps, and chaired Business Intelligence strategy and architecture workgroup. He has large enterprise IT experience in various functions delivering products by using data science, big-data, compelling visualizations & interactive interfaces.
Data Visualization sits at the core of delivering effective, insightful and actionable business analytics. While leaders in enterprise business analytics, technologies do a great job at providing a robust, scalable and efficient system to process data and create complex reporting, supporting the latest of visualization options, but we keep encountering businesses failing to create compelling stories with data at their disposal.
One of the premier reasons lies with the engagement model for Data Visualization while doing a BI project. Often people with business acumen and technology expertise discuss and pave way forward for the applications design and development, with Data Visualization being an afterthought. What works best instead is a robust data visualization strategy for your BI project up ahead, enabling the business not only to become best equipped to handle business needs, but also to best project the data in the most insightful and actionable format, which developers or business analyst miss a lot of times.
In this session you will learn:
- learnings from over 100s of BI projects we have delivered working closely with Data Visualization expert right from the initiation of the project engagement, and what works best for the customers
- What requisite data visualization skills to the DV roles needed in the team, from various approaches at project stages to visualization strategy for BI projects
- What is the Role of a Data Visualization Expert in while delivering a BI Dashboard/ Mobile App project?
- When and how to engage a Data Visualization expert in Dashboard / Mobile BI app development project?
Shantanu Dixit is a Data Visualization Practice head at InfoCepts. In this role, he has established a dedicated practice which works as centre of excellence which enables business users to make informed decisions quickly by representing complex, multidimensional data in a visually appealing format. He heads a team of Data Visualization experts which provides data Visualization services for creating effective dashboard and mobile apps. Spearheading the Visual Intelligence Solutions and have been associated with Customer projects from various domains across the globe in Banking, Retail, Telecom, Life Sciences across in proposing and providing end-to-end innovative Data Visualization Solutions. Involved in setting Executive and Business-Level Reports / Dashboard standards, across various BI Reporting Tools and Technologies. His philosophy in this field is to enable data to show its visual rhythm, tell compelling stories, reflect business-critical insights, and to be intuitively understood by users. Shantanu has a bachelor’s degree Fine Arts from India. He has broad experience working with both start-ups and Fortune 500 companies. Prior entering into a Data Visualization and Business Intelligence field, he was part of R&D industrial design department in world’s largest home appliance company.
Data dashboards have gone through renaissance in the last five years with enhanced interactivity and easier tools to create them. However, most business dashboard designed today are either at the 'pretty KPI decoration' end or at the 'detailed data explorers' end of the spectrum. They both fail to provide the level of insight communication, that we all see from purposeful designed visualisations in data journalism. This talks aims to understand the missing ingredients in current business dashboard design and aims to start a discussion on how we could rethink data visualisation for them. In the talk, I will explore a few guiding principles that could help us do this.
- Thinking Datum First
- Anecdote and Overview
- Embracing Complexity
- From KPIs to System
- From Blocks to Views
- Layering and Repeating
- Enriching Annotation
- Visualising Uncertainty
Experimenting, learning and coaching how to Craft Visual Stories with Data. I teach half-day to two-day session on data visualization and storytelling. I teach not only the science and art of visualization and storytelling but also how to craft your data-visual-stories using tools like Processing, R - ggplot2, d3.js, Tableau and Excel.
I am passionate about structuring & syntheses and you will often find me practicing my skills of listening and storytelling - in that order. I believe in the “Less is More” philosophy and consider simplicity as a driving principle in doing any work. I am currently experimenting with data visualization, teaching, storytelling, djembe, freelance consulting, coding, and cooking in a tandoor. When not playing with my computer or reading a book, you will find me working with my son - Siddharth - to learn new skills.
This talk introduces the essence of using data in art, various media & properties that can be leveraged, and a quick primer on Generative Art. The focus will be on using examples to introduce the modes in which data can be mapped in the final art form (mostly visual attributes, and a bit of other forms of media too). Not only would it be exciting for any data enthusiast to see how technology & data are being used by the new breed of artists today, it'll open up the narrow view of how data can be represented (and hopefully motivate you to try something new).Speaker Profile
Rasagy Sharma works as a designer at Mapbox, where he helps build tools to improve the biggest geo-spatial open data project: OpenStreetMap, and explores custom map design & data visualizations. Before this, he worked as a UX Designer at Barclays, helped kickstart the Information Design Lab at IDC, IIT Bombay, and worked with the Cloud & Enterprise and Bing Sports team at Microsoft IDC, Hyderabad. He’s interested in Data Art and loves playing with code.
Most of the data we encounter and generate in life are time series. Uncovering insights over time presents a number of challenges. Some of them are:
1. Velocity: The speed at which data is generated can vary and impacts how to represent them
2. Size: Is the data sparse or dense? Big data or small data?
3. Time Interval: What is the interval at which changes are happening? How to uncover insights about them?
4. Units of representation: Is the need to represent absolute measurement or percentage change or a customized metric?
The most important thing to understand is there is no one chart that can do justice to the above mentioned challenges. A few of the real-life applications of time series visualization the speaker has worked on will also be discussed in the talk.
By the end of the talk, the attendee will be able to know how to think about time series data, understand how to visualize them and effectively uncover and communicate insights for their respective problems
Bargava Subramanian is a Senior Data Scientist at Red Hat, India. He has 14 years of experience delivering business analytics/data science solutions to Investment Banks, Entertainment Studios and High-Tech companies. His interest lies in enabling the business to make better decisions using data. He has given talks and conducted workshops on Data Science, Machine Learning, Deep Learning and Optimization in Python and R. He has a Masters in Systems/Statistics from University of Maryland, College Park, USA. He is an ardent NBA fan and you can tweet to him at @bargava.
Bargava Subramanian has presented at a number of popular data science conferences. Some of the recent ones are:
Strata London 2017(selected), Global India Developer Summit 2017(selected), Strata Singapore 2016, Cypher Bangalore 2016, EuroPython 2016, SciPy USA 2016, Fifth Elephant Bangalore 2014, 2015, 2016, PyCon Singapore 2016
Sample videos of his talk can be found here:
Presentations of his talks can be found here:
With massive disruption happening in the area of AI/machine learning and internet of things, its now the time to think about new ways to visualize data to understand the context. As many important decisions are taken by machines, its very important to understand the reasons behind those decisions using visualized meta data. Normal data visualization techniques will not be very effective in this era because of the quantity and variety of data sets. I will focus the session on explaining the needs and possible ways to data visualization based on my experience of working with ML/AI and IOT related startupsSpeaker Profile
Vivek is Chief Technology Officer at Excubator (www.excubator.org) where he works closely with incubated startups is responsible for overall delivery of www.sidbistartupmitra.in (National platform for startup ecosystem, inaugurated by Hon'ble President of India, Shri Pranab Mukherjee) which provides much awaited single window for startups to engage with government schemes, incubators, venture capital firms, banks and many more.
Vivek also handles overall development of Excube360 (www.excube360.com) platform which helps entrepreneurs validate their startup ideas. Entrepreneurs from more than 190 countries can use this platform to validate their startup idea within their own country.
Prior to Excubator, Vivek has worked at Pegasystems (www.pega.com) and Infosys (www.infosys.com) where he was member of R&D team and He has built products in the areas of big data and social media analysis.
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This is a great opportunity to strategically brand your organization. As a sponsor, you will receive a tremendous amount of visibility and numerous other benefits at the conference.
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Standard Price : Rs 30,000
You can also choose to strategically brand your organisation as per the below combo offer.
Full day attendance to the event
Logo on brochure
Speaking Slot - 30 minute presentation slot or panel discussion (optional)
Please mail us : firstname.lastname@example.org
If your job role includes the following responsibilities then this is a MUST attend event:
Predictive Analytics - Business Intelligence
Data Visualization - Insight
Data Science - Data Mining
Software Engineering - Computer Science
Data Journalism - Storytelling
UX/UI Design - Graphic Design
Refresh your tactics - easy-to-digest best practice techniques will allow you to improve decision-making processes and increase productivity
Enhance your customer experience - uncover insight from both structured and unstructured data so that you can adapt quickly to customer preference and optimize your campaign spending.
Discuss common visualization challenges - with over 200 viz devotees in attendance, you are sure to expand your network and identify emerging trends
Yes, all conference attendees must register in advance to attend the event.
As this is predominantly an event for the IT Industry and Open Source Community, if you are interested in attending. Please note that there will be a charge to attend as a student (can avail special discount as a student)..
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