Kingdom Big Data & Analytics Summit 28 FEB 1 March 2016 Agenda MASTERCLASS A 28 Feb 2016 9.00am To 12.00pm Big Data Technology and Analytics Workshop MASTERCLASS LEADERS Venkata P. Alla A highly respected technology specialist with more than 25 years experience and over 10 years working in Big Data Technology. Dr Satyam Priyadarshy A globally recognised leader in Big Data and Data Science. Currently, he is Chief Data Scientist with Halliburton. Big Data Overview The four key aspects of Big Data are: Data, Technologies, Advanced Analytics and Actionable Insights. This workshop will focus on teaching how to leverage Big Data technologies so as to resolve data problems. The workshop will provide hands-on experience with installation, configuration and use of the following Big Data technologies: Hadoop, MongoDB, Cassandra, Hive, amongst others. Participants will also learn how to download, install and use the various technological solutions. Participants will learn which Big Data databases, frameworks and applications are appropriate for which types of data, as well as the pros and cons of the various technologies. Also, participants will learn the Map-Reduce technologies and perform Hive queries to extract data from a Hadoop system. Additionally, tools for analytics such as Python and R will be installed and configured to use with Big Data technologies. Participants will learn the entire concept of applied analytics and will use tools like Python and R to extract advanced analytics, machine learning and pattern recognition. A brief introduction to technologies for real-time data collection and processing will also be presented. Objectives Having completed this workshop, participants will: 1. Understand the four key aspects of Big Data 2. Be able to install, configure and use Hadoop, MongoDB, Cassandra, etc 3. Have experience with performing Hive queries for data extraction 4. Become familiar with analytics tools like Python and R 5. Be able to perform both simple and advanced analytics on prepopulated datasets 6. Learn about the future of streaming data tools and analytics
Who Should Attend? This workshop has been formulated for people primarily engaged with data and analytic, plus the communication of their data findings and analysis. Participants might be analysts working within a small or large federal government agency, a think tank, university, or a private firm. Those who might use either small datasets with few observations or large, complex data sets within their roles will also gain benefit from attendance. Decision makers with a desire to improve how they visualise their data and analysis, using best visualisation practices should also attend. Tools and Technology Recommended Textbooks: Hadoop, MongoDB and R books Free Trial Software: Participants will be provided with information on how to download and install various Big Data and Analytics tools and technologies Laptops/Notebooks: Participants should bring laptops to the workshop Wifi: Wifi is available at the workshop location Data: Participants will be provided with data sets and graphic files via email prior to the class Those who will benefit from this programme include: Those who want to become Big Data technologists and/or Data scientists Business analysts and reporting professionals Business leaders who work with diverse datasets Executives trying to make sense of increasingly complicated data Professionals with a strong interest in data analytics and getting insight from data Big Data Analytics and Data Visualisation Workshop 1.00 To 3.00 MASTERCLASS LEADER Dr Mouwafac Sidaoui, Professor and Chairman of Business Analytics and information Systems Department at the School of Management at the University of San Francisco. This workshop is an introduction to the principles and techniques for data visualization. This is graphical depiction of data that can improve comprehension, communication, and
final decision-making. This workshop will focus on teaching how a combination of both existing and new sources of data, with advanced analytics, can herald new business opportunities. Participants will learn new techniques, presented in a how-to method that shows them how to leverage big data to drive business value. We live in the information age. Humans, computers and instruments, generate such a huge amount of data and much of this data is available and accessible on the Internet. So the big big challenge today is not in generating data, but in effectively analysing it. While looking at numbers and text can provide many insights, the sheer volume and size of modern data renders this task impractical. One solution is to use data visualisation tools to convert the numbers and texts into pictures or interactive visual presentations. In this workshop, participants will learn visual representation methods and techniques that increase the understanding of complex data and models. Emphasis will be placed on the identification of patterns, trends and differences from datasets across categories, space, and time using Tableau and Google Charts. Another key element of this workshop is to enable participants to gain business insight. This means to interpret analytical results in terms of a wider context, to identify and prioritise issues, and to be able to articulate these business insights effectively. Objectives Having completed this workshop, participants will: 7. Understand the core principles of creating and evaluating data visualisations effectively, and the effect this has on decision making 8. Gain a far broader understanding of graphic types in which you can use to visualise your data, such as in-time charts 9. Learn the best practices and strategies to make quality visualisations 10. Become familiar with modern visualisation techniques, such as generating reports using dashboards and stories 11. Explore different types of visualisations and how they are used to communicate with different audiences 12. Learn how to present findings to an audience Who Should Attend? This workshop has been formulated for people primarily engaged with data and analytic, plus the communication of their data findings and analysis. Participants might be analysts working within a small or large federal government agency, a think tank, university, or a private firm. Those who might use either small datasets with few observations or large, complex data sets within their roles will also gain benefit from attendance.
Decision makers with a desire to improve how they visualise their data and analysis, using best visualisation practices should also attend. Tools and Technology Recommended Textbook: Tableau Your Data!; By Dan Murray Free Trial Software: Participants will be provided with information on how to download and install Tableau prior to the class Laptops / Notebooks: Participants should bring laptops to the session Wifi: Wifi is available at the workshop location Data: Participants will be provided with datasets and graphic files via email prior to the class Those who will benefit from this program include: Marketing, finance and sales managers and executives Business analysts and reporting professionals Business leaders who work with quantities data locally and globally Executives who are trying to make sense of their census Professionals with strong interest in data analytics and getting insight from data MAIN CONFERENCE DAY 1 29 Feb 2016 8.00 8.40 AM Public Sector Breakfast Briefing: The Transformational impact of Big Data on the Public Sector Governments provide a large variety of programmes and services, which both produce and consume massive amounts of data in a variety of formats, and increasingly in real-time. This data comes from a number of sources, which include historical, video, audio, cell phones, geospatial, imagery, sensors, social media, and much more. From crime prevention to smarter transportation, defence, national security, revenue management, environmental stewardship and social services, governments are presented with huge opportunities and challenges relating Big Data. Join us to learn about client use cases and best practices within Big Data analytics, and learn how they can improve efficiency and effectiveness across a broad range of government responsibilities, by improving existing processes and operations, and implementing completely new ones. 8.30 Registration & Coffee *Invitation Only 9.00 Opening & 2015 Saudi Big Data Advisory Board Awards Ceremony
9.10 Opening Address: - Ministry of Communication & Information Technology 9.15 Welcome Keynote Remarks from the Chairperson 9.20 GUEST KEYNOTE- Economic Growth and Better Public Services through Big and Open Data How innovative businesses are using government data to create value How data is being used to improve public services The importance of a good National Information Infrastructure Key policies for governments to achieve national success in data 9.40 BIG DATA in the Public Sector - Big Data, Sensors, Cloud & Information Security Big Data to Enhance Operational Efficiency & Public Service Delivery Sensors for better monitoring, real time access & predictions Smart Nations - Smart Cities concepts to benefit citizens and business Big Data innovation in government service delivery Cultivating a culture of experimentation the essence of Big Data 10.25 Explore Big Data & Analytics through Customer Stories Abstract: When you are able to harness big data from a wide range of sources, and analyse it in many different ways, you uncover insights that can have a profound effect on your business. In this session you will hear how Big Data has helped organisations in multiple industries realise the value of data and analytics. 11.05 Coffee Break in the exhibition lounge
11.35 BIG DATA FOR TELCOS - How much can companies in the telecommunications industry benefit from Big Data? Analysing call data records in real time to identify fraudulent behaviour immediately Allowing call centre representatives to flexibly and profitably modify subscriber calling plans immediately Tailoring marketing campaigns to individual customers, using location-based and social networking technology Using insights into customer behaviour and usage to develop new products and services 12.00 Big Data for Banking - How can Banks Maximise the value of their customer data? Improving credit risk estimation by exploring diverse data sets Maximising lead generation potential through big data analytics Limiting customer attrition through advanced analytics Driving top line growth through next best action analytics models 12.20 Big Data analytics for cyber security Hosted by Dr Satyam Priyadarshy A globally recognised leader in Big Data and Data Science. Currently, Chief Data Scientist with Halliburton. The convergence of five technology revolutions has increased attention towards cyber security and Big Data. The last decade has seen an ever-increasing number of data breaches and attacks, even though the number of tools and technologies deployed by organisations to capture and address cyber attacks has grown significantly. Many industries are looking for deployment of Sensors, IoTs, M2M, and Drones etc for various business reasons. Big Data has become an integral part of these emerging technology deployments, and also provides a bigger and wider area for cyber attacks. In this talk we discuss how the seven pillars of Big Data will provide predictive power to address and prevent these cyber attacks. A brief review of use cases related to DoS attacks will be discussed. 13.00 Networking Lunch
14.00 Driving Strategy Execution Using Big Data Analytics Poor strategy execution has been one of the major challenges facing leadership teams. Although the balanced scorecard (BSC) has proved to be a framework that can minimise the risks associated with strategy success, companies still struggle to identify reasons for low performance and understand the correlation between causes and effects of strategic assumptions. Now, with the advent of Big Data and Analytics on the one hand, and the alignment of operational processes with strategy on the other, we will soon be able to go beyond the conventional wisdom of you can t manage what you don t measure, and predict with precision whether our strategy will work as we hope. Case studies will be presented to illustrate how the concept works in practice, alongside a new approach that shows how utility companies can benefit from analytics. 14.20 Harnessing the value of Big Data for Healthcare Transformation Acquiring the right data for your Big Data project Ensuring wider organisational participation in projects Using data analytics for better health-care decisions Ensuring better patient care, and greater efficiency through data intelligence 14.45 Panel Presentation & Discussion: Big Data Monetisation & Innovation Opportunities in commoditising internal & external Big Data Infrastructure and technology needed for data monetization Visualisation and monetisation of data analytics M2M, IoT and all things Big Data 15.15 Chairman s Closing Remarks & end of Conference day 1
MAIN CONFERENCE DAY 2 1 MARCH 2016 8.30 Registration & Coffee 9.00 Opening Remarks from the Chairperson 9.10 KEYNOTE - BIG DATA AND DATA DRIVEN SCIENCE FOR THE OIL AND GAS INDUSTRY Presented by Dr Satyam Priyadarshy, Chief Data Scientist, Halliburton, USA To extract the maximum oil for a unit of currency, it is imperative to leverage Big Data and Data Science. The confusion about Big Data is due to the fact that most who do not have experience in creating and leveraging value from their data, interpret data as a problem in itself, particularly when presented in large volumes. But in actual fact, the oil and gas industry has always played with large amounts of data, starting from exploration phases to completion phases. 9.30 Big Data Analytics for Manufacturing Improving forecasts of product demand and production Understanding plant performance across multiple metrics Providing service and support to customers faster Integrating advanced analytics across a six sigma framework 9.50 Enabling Smart Businesses through Big Data- ONG Distribution journey Driving business through performance and productivity Aligning business operations with customer behaviour and customer insights Delivering the next level of insight through Big Data In Memory Analytics to drive faster performance and productivity gains 10.40 Big Data Key Challenges and Best Practices Understanding the key objective of your Big Data Programme Determining the right Data for your Business use cases What Data Processes to be in place to guarantee better results Understand your Infrastructure needs (Hardware & Software) What Analytics you need (Turn raw Data to Insights and actionable) 11.00 Coffee Break in the exhibition lounge
11.30 Big Data Marketing Analytics and Customer Insights Is Big Data Analytics the biggest game changer for Marketing, Sales & Advertisements Are customer insights leading the charge on Big Data spend by CMO s? Stimulating the Next Best Action - Marketing optimisation with Geo location analytics Data Science and the future of marketing and customer engagement 12.30 Advanced Analytics Using Big Data for Deeper Insights Big Data is a great source to gain a deeper and more advanced insight to make smarter business decisions. But what are the best techniques to use that should be prioritised to gain insights in the near term? And how do we create an environment that will give significant benefits in the medium to long term? 13.00 This session will walk you through the building blocks of Big Data solutions with a focus on the extraordinary benefits of Advanced Analytics (Machine Learning) to enable people to find data-driven answers to their questions and business challenges as easily as they search the web. Social Media Analytics, Customer Service & Loyalty Using data analytics to understand each customer s unique needs, opinions and behaviour Trends, tools and techniques on understanding sentiments and behaviour Big Data s potential and importance in customer analytics Moving from product-centric to customer-centric mining Metrics to measure social media mining 13.20 Going Beyond: Big Data Innovation & LEADERSHIP. The Future Role of Big Data in an Organisation Big Data mining in the Internet of Things Quantum computing and machine learning Artificial intelligence and augmented reality 13.40 Chairman s Closing Remarks & end of conference day 2 14.00 Networking Lunch to Close