Increase Purchase Activity with Product Recommendation Engines

20th June 2017

By Joshua Mews, Objective Computing. Using a Product Recommendation Engine Product recommendation systems utilise filtering systems to identify products to recommend. The type of filtering […]

Business Insight, Strategic Insight, and Real-time Insight: A Look at Autonomous Anomaly Detection Techniques

15th June 2017

By Ira Cohen Most companies are sitting on top of a veritable gold mine. Gigabytes of digitized time-series data are just ready and waiting for […]




Session ONE – Extracting Value, Insights and Meaning from Enterprise Data

  • Identifying trends and patterns of activity in structured and unstructured data to better understand your customers, users, transactions and systems
  • Improving business forecasting and decision-making
  • Turning data into new visibility and business intelligence
  • Gaining real-time actionable insights from your data
  • Utilising predictive analytics for impactful action
  • Building an agile, responsive and powerful Big Data architecture
The Conference Chair’s Opening Remarks

Julian Schwarzenbach, Chair, BCS Data Management Specialist Group

Mind the gap – How to survive the Big Data Transformation

Federico Rosenhain, Big Data Evangelist (previously Chief Data Officer at Banco Hipotecario)

The convergence of technologies fuelled by innovation accelerators like Hadoop and Spark is pushing the boundaries of what can be done with data. In this presentation we explore the tools and techniques to evolve from a standard BI platform to a Big Data environment without falling into the gap.

Powering the Next Generation of Data and Analytics

Stephen Line, Regional Vice-President North EMEA, Cloudera

Today, large organisations are awash with more data than ever before. They collect real time and streaming data and operate in increasingly competitive and demanding regulatory environments. To achieve their business objectives, they must capture, secure, prepare, analyse and act on all of that data quickly.

Machine learning and AI empower organisations to take advantage of this proliferation of data. Yet although the age of machine learning is now a reality, few organisations realise where to begin or how to extract the value it promises for their business.

Illustrated with customer examples, Stephen Line will demonstrate how leading organisations are now rolling out real, meaningful applications that use machine learning in production both on-premise and, increasingly, in the cloud.

Disruption: How The World Works

Mark Allen, Head of Data Governance, Capital One

In this presentation, we look at what disruption actually is and why it isn’t innovation. We will explore why it is not only desirable but essential to the success of all our businesses, why it is inevitable, how you can spot it and what happens when you fail to prepare for it.

We will take a 200 year journey back in time, take a peak in to the next 50 years and see why disruption truly dictates how the world works

Challenges of Working with Big Data (emerging volumes, variety, and constantly emerging technology)

Mark Semenenko, Sales Engineer, Pentaho

How this can be alleviated with up-to-date technology (Pentaho’s drag-and-drop UI that allows any developer to work with traditional or Big Data, flexibility to sit on top of existing DW but expand into Big Data technologies, Pentaho’s ability to pull in Machine Learning algorithms or predictive models as well as external plug-ins based on Pentaho’s open source heritage)

ELDT - Disrupting the Traditional Data Warehouse Approach in Insurance

Mark Bendall, Lead Program Architect (Technology), Enstar Group 

Ranjeet Athwal, MI Architect, Enstar Group

•Using a modern BI architecture, we will demonstrate how Hadoop and complementary technologies can be used to deliver a platform that is secure, flexible, cost effective, and delivers early business benefit with reduced IT intervention
•We have coined “Extract, Load, Discover and Transform” (ELDT) to implement a bimodal delivery platform, with an overview of the technology, approach and challenges of the solution.
•Using a combination of Cloudera CDH, Attunity Replicate, Trifacta and Arcadia Data we will explain the architecture and ELDT methodology
•Describe how this prepares us to meet ongoing compliance and regulatory requirements.

Questions to the Panel of Speakers
Morning Networking and Refreshments Served in the Exhibition Area
Unlocking the Complete Value of Big Data Analytics: Proven Lessons Using Big Data Fabric and Data Virtualization

Ravi Shankar, Chief Marketing Officer, Denodo

Companies are embarking on Big Data Analytics to power business user self-service, faster analysis, and never-before-realized use cases.

However, the value they derive from such projects have been limited because these Big Data systems have become siloed from the rest of the organization while reporting solutions have proliferated.

Big Data Fabric with data virtualization, data prep, and lineage capabilities seamlessly integrates these huge, siloed volumes of structured and unstructured data with other enterprise data assets.

This presentation will demonstrate business value with proven customer case studies about best practices in using Big Data Fabric and data virtualization for Big Data Analytics.

Data Scientists: Mermaids and Manatees

Martin Squires, Global Lead, Customer Intelligence & Data, Boots Walgreens Boots Alliance

This session will discuss:
– Why are we all looking for data scientists?
– Where are the real skills gaps (unless you really are building rockets)
– You want a dozen manatees don’t advertise for a Disney princess!

Questions to the Panel of Speakers and Delegates move to the Seminar Rooms
Seminar Sessions

 (To view topics see seminars page)

Networking Lunch Served in the Exhibition Area

Session TWO: Making Data the Centerpiece of your Business, Solving Critical Challenges and Fulfilling your Strategic Vision

  • Use data analytics to identify the needles of valuable data within your digital haystack
  • Manage and implement a secure and scalable Big Data architecture
  • Explore industry best requirements, legalities and regulations
  • Improve operational efficiencies and enhance long-term success of data initiatives
The Conference Chair Opens the Afternoon Session
Data Science for Public Good

Tom Smith, Managing Director – Data Science Campus, Office for National Statistics

The data revolution affects all industries, and government is no different. The Data Science Campus at the UK’s Office for National Statistics explores how new data sources such as earth observation data, images, social media, and data held by government, can help us better understand the economy and society.
Bringing together analysts, data scientists and technologists from across the UK and the wider international community, the Campus is a hub and incubator for analysis and capacity-building, working collaboratively with academics, colleagues across government and the public sector, industry and third sector partners to help us push the boundaries of data science and analytics applications.

Managing Smart Meter Data with DataStax DSE.

Satish Ramjee, Principal Software Engineer, First Utility

This session will discuss:
• Creating a high availability platform
• Enabling customer control and insights through analytics
• Providing a self healing platform with event history
• Monitoring and alerting across the platform

Crunching Data for Charity

Alexander Kapellos, Senior Manager, Analytics and Reporting, Cancer Research UK

How much diversity exists in Data Analytics across different sectors? Can the similarities overcome any differences and allow collaboration that will overcome silos and unleash new analytic avenues?

With the expanded use of Data Analytics in different sectors, it becomes more apparent that there are commonalities and differences in the various analytical approaches but is collaboration a key factor to innovation and avoiding the wheel reinvention?

The benefits of collaboration have become even more obvious nowadays with open source platforms and software, collaboration of scientists across different areas to tackle diseases and identify common practices that will speed up research results. Data Analytics is evidently an area where collaboration needs to be enforced and help overcome roadblocks of the past.

Transforming a Media Organisation with Data Science

Rasmus Skov Knudsen, Senior Data Scientist, Financial Times

Learn about how the FT has used data to transform itself into a digital media business, including:
• Using data science models to drive B2C and B2B subscriptions
• Creating new audience groups for advanced ad targeting
• Understanding user behaviour to improve product design and campaign management

Questions to the Panel of Speakers
Afternoon Networking and Refreshments served in the Exhibition Area
Turning Data into Action: Building a Personalisation Programme from Scratch

Kerry Dawes, Head of Personalisation and Optimisation Operations, Rank Group

There is no shortage of data in this digital world, but many of us get stuck on producing more and more reports but without creating or executing any action.

This session will take you through practical steps to make your data actionable. The speaker will guide you through how to deliver this through digital personalisation, quickly.

The more we have the less we see: Reproducibility and Sustainability in Data Science Practice

Dr. Anthea Seles, Digital Records and Transfer Manager at the National Archives

Data science is an exciting and emerging field of practice in government, enabling great possibilities to interlink and combine previously siloed and unconnected data. It can improve government decision-making and prevent duplication of effort, along with unnecessary expenditure of resource. However, as we move into an environment where data and data visualisations are used to enable policy decisions or other key organisation decisions, we need to consider how to properly document methods and methodologies, when cleaning and processing data to ensure that results are defensible.

This session will explore the implications of data science practice for decision-making and looking at how we identify the right people for the job to make sure we have the proper documentation processes to evidence data visualisations for decisions.

Turning Data from Insights into Value

Hugo Pinto, Partner, BI4ALL

In an increasingly competitive world, organizations search for new ways to generate insights from data and gain competitive advantages. Big Data Analytics provide us with different ways to generate insights from a wide variety of tools and techniques. The focus of this session will be on the analysis of how Big Data Analytics can be used to support strategic/tactical/operational decisions through the analysis of large and varied data sets in order to uncover patterns, trends and preferences. This can help enable organizations to make more-informed business decisions, gain competitive advantages and more important, to create value.

Questions to the Panel of Speakers
Closing Remarks from the Conference Chair
Conference Closes, Delegates Depart

Please note:
Whitehall Media reserve the right to change the programme without prior notice.