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Programme

Session ONE – Extracting Value 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
09.00
The Conference Chair's Opening Address

Mark Birkin, Professor of Spatial Analysis and Policy and Director of the Consumer Data Research Centre (CDRC), University of Leeds

09.25
Big Data at ING – The Why, What, and How of Building a Data-Driven Financial Enterprise

Bas Geerdink, Technology Lead, ING

ING is a data driven enterprise, which is heavily investing in AI, analytics and streaming data processing. As many other enterprises, ING deals with a large variety of data sources. The amount of data which must be handled goes beyond the computing performance of single machines, and vertical scalability is hardly an option. For this specific reason ING is moving towards a scenario where machines are grouped into clusters and data is handled by distributed processing systems. An important building block in ING’s analytics journey is a state-of-the-art Data Lake. The data lake replaces several enterprise data warehouses and is the central repository for all types of data, supporting various types of queries for our stakeholders’ demands: batch, real-time, large and small datasets. Machine learning is aiding traditional SQL analytics to provide better insight when it comes to operational excellence, business processes, and marketing and security applications. In this session Bas will give some examples of data-driven use cases and explains the choices in technology and way of working that ING has made in the past few years.

09.45
Customer Data Driven Journey

Rishabh Miglani, BI Solutions Specialist, SplashBI

The benefits of making informed decisions far outweigh those made on impulse. Companies go out of their way to document every process in their organisation but often fail to utilise the true potential of the data they have at their disposal. Sound decision making requires a multifaceted view and analysis of the data. Data driven decision making has become the next “big-thing” but is it really something you need to learn or is it something that you need to adopt. Let us explain our four-phase plan to build your concrete data driven strategy for optimised and better decisions. “It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.” – Sir Arthur Conan Doyle.

10.00
How can the Big Data Impact the Individual Experience?

Flavio Pereira, Senior Analyst, Customer Analytics Marketing, Debenhams

In a world where customers are less loyal and gladly share their personal data if they get something in return, the amount of data available is increasing and it’s starting to become unbearable for companies to handle and also more important for them to handle it in ways advantageous to themselves and their customers. In the end, customers don’t care how businesses give them what they want. They just want it now and hassle free.

So how can old, established businesses which were created in a different time have a chance against the ‘new kids on the block’ who are completely data driven and fight to win and keep new customers?  Big Data, AI and consequently personalisation may be the answers

10.20
Real-Time Analytics. But How?

Zulfikar Qureshi, Senior Solutions Architect, HVR

Push notifications, social shopping, fraud detection, faster decision-making, superior customer service, and waste reduction are only some of the many reasons organisations adopt technologies that enable real-time information. Traditional methods such as ETL don’t quite fit the need. So how have organisations achieved their real-time goals with their technology?

In his talk, Zulf will talk about how real-time data integration technology should be at the core of real-time and digital strategies. On the way, he will share a customer use case about how an online retailer adopted a real-time data integration strategy and their journey to success. You will learn the three key requirements to a data integration strategy that allows for organisations to gain an edge using their data in the modern world. Additionally, find out how data security and accuracy concerns can be overcome.

10.35
Becoming Data and AI Ready in Theatre

Philip Day, Director of Marketing & Communications, Andrew Lloyd Webber’s Really Useful Group 

– who we are: theatre and IP owners
– what: we needed to consolidate, and want to grow our global audience
– why: to sell more tickets to our shows, more efficiently
– how: by getting match fit for the data and AI world – procuring tech and people and building a capability utilising data

10.50
Questions To The Panel Of Speakers
11.00
Morning Networking and Refreshments Served in the Exhibition Area
11.30
Fortune 100 Lessons on Architecting Data Lakes for Real-time Analytics & AI

Ted Orme, EMEA VP of Marketing and Business Development, Attunity

How do you maximise the value from your operational data? There is a growing need to process and analyse data in motion, as your business looks to generate additional value from multiple data sources; analysis of real-time data streams can deliver competitive business advantage, reduces costs and create new revenue streams. Using examples from AXA, Zurich, and Ford – we’ll explore the journey from a batch orientated world to the modern streaming architecture on premise/in the cloud, to show you how to get valuable data from Relational OLTP, Mainframes and SAP into this modern data architecture.

11.45
Making Data Mainstream

Amy Balmain, Head of Data Exploitation, Southern Water

This presentation seeks to explore how to establish a data function and sell the opportunities it brings to a commercial organisation. For a long time data has been seen as just a by-product of business processes. Now, established and emerging tools and techniques allow organisations to unlock the real value of data to make significant improvements in operational performance.

12.05
Questions to the Panel of Speakers and Delegates move to the Seminar Rooms
12.15
Seminar Sessions

(To view topics see the seminars page)

13.00
Networking Lunch Served in the Exhibition Area

Session TWO: Making Data the Centrepiece 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
14.00
Conference Chair's Afternoon Address
14.05
Rights Valuation at DAZN (with Dataiku)

Shaun Moate, Director of Data Science & Advanced Analytics, DAZN

Content is king. Buying & selling sports rights is a fundamental activity for for a company like DAZN.  The composition of the selected rights builds a core proposition that drives customers to our service.  But what content should we buy?  What content should we retain?  What risk does our portfolio expose our business?

Our position in the market has enabled our teams to gather much more data to analyse and answer these questions.  With Dataiku we can automate and deliver these insights at low latency.  Marrying assessment framework, strong data and optimised data flows has enabled our business to build a strong position of what rights we should retain and what can we afford to lose.  This presentation will seek to shed light on this process and give you a view on valuing sports rights and what we consider to be important.

14.20
Extracting Actionable Business Insights From Data : Overview & Feedback About The Cockpit Initiative at AMC

Sophie Talbot, Data and Projects Director, Groupe Casino

AMC is the purchasing center for the business in France of the Casino Group, a leader in the global food retail market, with a multi-banner business model – premium, convenience, and discount – more than 12,000 stores worldwide and 38 billion euros sales.

In 2017, AMC decided to respond to constant changes & growing complexity in the economic environment and the customer demand, by incorporating more data driven strategies in the purchase negotiations. This was the genesis of the Cockpit initiative, an in-house data visualization tool designed for the buyers.

In this session, you will discover:

  • What it took to set up a broad analytics initiative at AMC
  • How it served our overall strategy & business purposes
  • What challenges we faced & lessons we learnt
14:35
How Alstom Delivers Instant Insight from Data Across the Organisation with Cognitive Search (with Sinequa)

Thomas Verlhac, Digital Solutions Manager, Alstom

As a leader in the digital transformation of the rail industry, Alstom understands the value of connecting people to relevant information to develop and market their products and services effectively.
Through contextualized research tools, Alstom sought to provide employees with the capabilities needed to find the information they needed in a few clicks, thus making the company faster and more efficient overall.
As part of this digital transformation initiative, Alstom selected Sinequa’s Cognitive Search & Analytics platform to provide to their employees a more efficient and simplified internal research platform, in order to facilitate access to all the company’s information, starting with technical, reference, regulatory and legislative compliance documents.

14:50
Questions to the Panel of Speakers
15:00
Afternoon Networking and Refreshments served in the Exhibition Area
15:30
Actionable Business Insights

Ifty Bukhari, Head of Development and Architecture (Digital Assets), HSBC

This session will explore how you track/monitor and identify value from the various insights that are generated across your organisation.

15:45
Increasing Your Analytical Talent Pool

Noel-Ann Bradshaw, Data Scientist, Operational Research Specialist, Sainsbury’s Argos

Have you ever wondered why the graduates you hire do not have the skillset you want? Or how you can find out about cutting-edge research in machine learning or optimisation?  This talk will describe various projects and partnerships that universities and businesses can engage in for mutual benefit such as increasing their data analytics talent pool and improving diversity.  It will be of interest to those who hire and work with new graduates of all levels as well as software providers offering educational licenses.

16.00
What You Don’t Know Could Hurt You

Terri Linnet Bickford, Governance Lead, Covéa Insurance

Data is a key asset in most industries and in many of these it is personal data that is the most valuable. GDPR came into force six months ago but how has it changed attitudes towards data? Data is an emotive subject whether it is companies using it to get a better insight into their customers or people giving it away in exchange for ‘free’ services. Using cases studies I will examine changes both from a personal and company perspective after all what you do not know about how data is used could still hurt you.

16.30
Questions to the Panel of Speakers
16:40
Closing Remarks from the Conference Chair
16:45
Conference Close - Delegates Depart

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