With continuous advances in technology and the multifaceted use of the Internet and Social Media, organisations have access to an overloading volume of data, which come in many forms structured as well as unstructured. Data Analytics enables us to unlock the hidden value in this data and to “make sense” of “Big Data”. Data analytics together with predictive analytics leads to Business Intelligence, which has been the mantra of corporate decision-making.
This conference is divided into two main parts addressing the business value of predictive analytics and real-time analytics respectively. It looks at different uses of both predictive and real time analytics, exploring their role in improving business performance and creating competitive advantage. The programme features presentations, panel discussions, case studies and references to relevant tools available in the market.
Real life case studies
Handling and dealing with big data
Predictive and real time analytics tools
Predictive analytics/real time analytics for user-content and social media
Predictive analytics/real time analytics value for strategy and decision-making
Predictive analytics/real time analytics to increase revenues and value for customers
Real-time analytics and IoT
Real-time predictive analytics
These should be the presentations you have on the website for Data Analytics and for OpenStack in the afternoon. This means that for Data Analytics you should have only Guatam Mitra, Gergely and Richard Veryard presentations in the morning, followed by the ones below and for OpenStack you should have Suarez, Sargeant, and Tan.
Professor Gautam Mitra, Chairman & CEO, OptiRisk Systems
Gergely Kalmár, WebRepublic
Based on online footprints left behind by users, advanced models predict human behavior with surprising accuracy and thus allow for effective deployment of significantly growing digital marketing budgets. In this talk we will show how we helped finding the optimal online marketing budget for the 33 target markets of Victorinox Swiss Army Watch using predictive analytics.
Richard Veryard, Glue Reply
Retail and consumer organizations have started to develop more personalized interaction with customers, based on rapid analysis of a broad range of customer attributes and propensities, known metaphorically as “genes”. These may be used to target campaigns more accurately, or to generate the next best action in real-time for a specific customer. Richard will talk about the business opportunities and technological challenges of this trend.
In this talk, Kriti will cover how we are solving some of the toughest big data challenges in financial services using scalable, open-source technology.I will share case studies and examples in the areas of:
Andrew will speak about Kamanja – Open Source Realtime Decisioning Engine and its applications in Healthcare and Financial Services
Jim Anning, Head of Data and Analytics at British Gas Connected Homes
Connected Homes is at the forefront of IoT in the UK. Spun out of British Gas in 2012, its expanding Hive IoT product range & its access to the largest pool of UK smart meter data uniquely positions it as a key player in the UK market. This talk will focus on the journey we've undertaken over the last 12 months to build a data platform based on open source technologies and to put in place all the building blocks to apply cutting edge data science algorithms to deliver value from our data.
Kiran Pande, Business Partner, Data Governance/Business Intelligence/Data Warehouse at Barclays
Kiran Pande is a known name in the retail, hospitality, gaming and banking industry in the UK for his contribution to strategic direction provided in the journey of data warehousing to advanced analytics and from regulatory reporting to better data governance. He has worked as Head of BI for Whitbread as well as Ladbrokes and has also served for US corporates like GE, Ford in key initiatives in this space.
Andrew Johnson, Hewlett Packard Enterprise, Cloud
A dark cloud and a rumble of thunder are leading indicators of rain, but what is the equivalent for API driven service clouds ? HP Cloud operations has answered this challenge by processing, in real time, 3.5+ million API requests and responses per day to provide near real time warnings of impending and current outages in HP’s Helion OpenStack Public Cloud.
In this talk I will cover the end to end design of the system, show example outputs and list the lessons learned.