“The greatest value of a picture is when it forces us to notice what we never expected to see”- John Tukey.

If information is critical then it deserves to get immediate attention. If information is important then it deserves to be communicated well. Data Visualization Excellence is about communicating greatest number of ideas, facts, relationships and patterns in data, in a shortest time with clarity, in an optimum space.

By a solid understanding of Visual perception, which enables us to sense and process large chunks of information rapidly, one can create efficient and effective Visualizations. Data Visualization is one of the important steps in an iterative Data Science and Machine Learning project process cycle.

This session gives an overview of Data Visualization and Dashboards Trends for quick and effective Decision Making based on insights.

Suresh is passionate about using emerging Digital Technologies for solving critical business problems and creating strategic value for the business.

Suresh, Founder and Director of BIZINO Data Science & Machine Learning Solutions, has a rare blend of global Business, Technology, Leadership and Research experience, garnered over 28+ years, while working with Fortune 500 and leading domestic corporates from diverse industries. He has setup and led large Software Technology Solutions Global Delivery Centre and several CoEs & Innovation Labs, providing Innovative solutions and services to global companies from sectors such as IT & ITeS, Finance / FinTech, Manufacturing, Education, Retail, Telecom, etc.

At BIZINO, he has setup a “Data Science & Machine Learning Innovation Lab”, with focus on Minimizing Prediction Cost, Insights driven Decision Making, Advanced Analytics, Visualizations and Dashboards, Predictive & Prescriptive Modeling and Data Acquisition & Preprocessing Automation.

Suresh, as a Product Innovator, has conceptualized, designed, developed and implemented several innovative software solutions such as Equity Markets Research Analytics, Statistical Process Control System for high precision mass production machines, Data Acquisition & Synchronization Tools, Knowledge Retention Tool, Management Review Dashboards, Project Performance Forecasting, etc.

As a Scientist and Technology Thought Leader, Suresh has done extensive research, published Technical papers / articles, implemented POCs, Reference architectures, Reusable frameworks, Methodologies, Estimation & Benchmarking Tools, etc.

Transforming data into an effective visualization or dashboard is the first step towards making your data make an impact. Right charts lead to right decisions. We use charts to tell stories, evaluate alternatives, understand trends or find-out if everything is normal. So, an incorrect charting choice can lead to poor judgment of the messages where as a correct chart can lead to right and faster decisions.

In this session, you will learn to match your message to the right type of display and design each component of your graphs so the data speaks clearly and the most important data speaks loudly.

Merwin DMello is a Project Manager in the Healthcare Provider Domain for Syntel. He has worked variety of projects ranging from Mainframe, Classic ASP, .Net MVC Websites, ETL Staging and Reporting for major US Conglomerate and largest US non-profit hospital chain. Alongside, he is certified Six Sigma Green Belt, MCSA SQL Server and IBM DB2 Database Developer. He is keely aware of market trends, business opportunities, and technology & competitor reports in healthcare provider space. He is a continued learning enthusiast on edX, Coursera and Microsoft Virtual Academy platforms. His BI Experience includes Microsoft BI Stack (PowerBI, SSRS, SSIS, Powershell), Essbase, Teradata, Oracle, Db2, DMXpress, Longview.

Why is it that some managers read the standard reports and reach different conclusions whereas some other can not read the stories in the reports. The key is "insights" which are derived through thier domain knowledge.

Today data is abundant. Here and now, we actually have more data than we can reasonably use. So today management is overflooded with reports overflowing all showing KPIs & various benchmarks. Wehreas KPIs are good in that they give the target v/s actuals. One of the key objectives of data mining is to derive insights from data.

Insights from data is relatively rare. Insights here are defined as actionable, data-driven findings that create business value. They are entirely different beasts from KPIs. Delivering insihgts requires different people, technology, and skills; specifically those people who have deep domain knowledge. And they’re hard to find. Even with great data and tools, insights can be exceptionally tough to come by.

So today we create a blueprint or a standard operating principles which if followed will help us in data mining in effect creating insights from data.

Currently, CEO/CTO at MaexaData (pronounced mek-za-data). Apart from being a Big Data Analyst (covering Hadoop, Java Map Reduce, Pig, Hive, Impala, Hbase & Sqoop) I am a qualified Data Scientist (covering Exploring Data, Data Visualization, Statistical Inference, Regression Analysis, Machine Learning & ShinyApps using R-Programming). Also a BI expert with industry knowledge of SAS, Tableau & QlikView.

Thirty plus years industry experience with extensive domain expertise in Data Management, Messaging & Infrastructure. Information Technology expert with hands on experience in Product Management, Release / Delivery Management, Software Development, Management Information Systems. Track record of success in platforms covering Java, LAMP (Linux, Apache, MySQL, PHP), .Net & Android; creating robust architectures & infrastructure.

Have been a certified lead auditor for ISO-9001 and ISO-27001. Completed training for Certified Ethical Hacker, Blackblot Product Management, Mobile Application Development, Big Data Analyst (covering Hadoop, Java Map Reduce, Pig, Hive, Impala, Hbase & Sqoop), Data Scientist Specialization (covering Exploring Data, Data Visualization, Statistical Inference, Regression Analysis, Machine Learning & ShinyApps using R-Programming). Also completed advanced training for BI Tools QlikView, SAS & Tableau.

Apart from development of analytics related projects, have conducted training workshops for

Firmly agree with Zig Ziggler when he said “It is not your aptitude but your attitude which determines the ultimate altitude”.

Machine learning(ML) models are often termed as a ‘Black Box’. But as machine learning models get widely accepted for making decisions (like who should get a loan) their opaqueness often raises questions of transparency. Regulators are asking AI/ML developers to build explainable models. In this talk we will explore new techniques that are being developed to visualize & identify attributes which are used by ML models to make a prediction.

I would like to be described as a life-long learner. In my professional capacity I lead the AI & Cognitive team at Edelweiss.

Companies are moving towards building a data driven culture, with new pathway for value creation. Capturing value from data requires excellence in all components of the “Insights Value Chain”. Easy to use tools can help personnel extract relevant insights, these are built over Big Data environments with innovative ways to make the data come alive. This topic will cover new ways of visualising using business case studies and futuristic ideas

25 years of experience in managing technology across various industry like Manufacturing, Contracting, Supply Chain & other services. Currently working on empowering Market Researchers with data to derive insights.

The Banking, Financial Services and Insurance Industry has been an industry which has slowly shown great interest in the Data Visualization space. The industry has primarily been dependent upon heaps of MIS and excel reports for daily operations. But with the growth in customer base and business these reporting mediums are facing challenges to provide the business with actionable insights. With the advent of Data Visualization solutions, the industry is getting more and more dependent on the theory of "Management by Exception" and it is where Data Visualization add extreme value. Be it Loans Operation, Business Evaluation, Capacity Planning, data visualization solutions are providing great value to businesses across the globe.

A trusted consultant with 8+ years of experience in driving analytics engagements across industry verticals like Financial Services, Retail and CPG. In my current role at Gramener, I have been involved in program management, product development and assisting BFSI clients to bridge the gap between organization's analytics capacity and capability.

Functional Expertise in areas such as Retail Banking, Workforce Analytics and Supply Chain Analytics with specialization in applying technology advancements, concepts, solutions to a business context and environment and create conceptual model for its use to solve a specific business or technology problems.

In the era to come most of the digital activities either social or professional will be driven by two key dimensions - Artificial Intelligence and Machine Learning. To cater to this shift, we also need next generation Data Visualization techniques. The shift in data visualization techniques have always been there historically as we have moved from classic bar graphs to 3D data charts but now as we move more towards heterogeneous data sources coupled with AI and Machine Learning, the new data visualization techniques are bound to be manifested.

Puneet Batura is a subject matter expert in the Oracle Business Intelligence domain and had lead many BI implementations to a successful go-live. His expertise lies in the areas of Oracle BI Apps Configurations, E-T-L/E-L-T solutioning, BI Application Configuration Manager (BIACM), Golden Gate and had worked with many source systems like eBS, HCM, Siebel etc. He has been working within the BI arena for more than a decade and has been constructing the custom Oracle-BI solutions based on individual landscapes of the organizations.