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
Dr Mo Saraee, Reader in Data Mining & Bioinformatics, and Programme Leader for MSc Data Science, University of Salford-Manchester
Make the impossible possible with a shared data experience
Mark Samson, Principal Systems Engineer, Cloudera
Big data has moved on from a more efficient way to store and process large volumes of a rich variety of data. It is now powering possibilities that change the way we operate across all industries.
Today’s enterprise organisations are flooded with data from a hyper-connected world and need solutions to analyse and act upon it. Our experience has taught us that the highest-value machine learning and analytics use cases rely on a variety of data capabilities. Working together to combine data from different sources into a single coherent picture and creating a shared data experience for all – customers, staff, partners and more.
This session will explore the way leading enterprises are currently using a unified data platform to drive their most important initiatives including Machine Learning, Cybersecurity, IoT and GDPR. Learn how you can drive actionable insights from complex data and make what is impossible today, possible tomorrow.
Visualisation and Beyond – How to Make The Most Out Of Your Big Data Investments with MicroStrategy
Nick Barth, Senior Sales Engineer, MicroStrategy
Having taken the plunge into Big Data, enterprises are faced with a bewildering range of analysis products. Most Business Intelligence tools emphasise data visualisation as the key method to extract value from the Big Data resource. MicroStrategy see things a little differently. We agree that Business Users should be provided with powerful data discovery and visualisation tools. However, the BI platform they use must also be capable of analysing the data in ways that are not simply visual, and must be adept at securely sharing insights with colleagues, customers and partners – collaboratively and at scale. In this brief talk, Nick Barth will introduce the Big Data Use Cases that can be served by MicroStrategy, moving Big Data analytics beyond point solutions to true Enterprise capability.
Master the data - build for the future
Mark Renton, Head of IT Architecture, Domestic & General
- At Domestic & General, data is at the heart of a project that aims to improve customer service and drive better business performance through advancing IT.
- What opportunities, and challenges, has Domestic & General experienced on their journey so far? How is data governance managed in an organisation that is evolving to meet rapidly changing market and customer trends? What impact has the project had on staff, suppliers and customers? And what are D&G’s aspirations for the future?
- Mark will provide an insight into his experiences delivering a project with far-reaching implications for him and his organisation.
BI to AI: Evolving from traditional look-back analyses to forward-thinking prediction and prescription
Wael Elrifai, Senior Director of Enterprise Solutions, EMEA & APAC, Hitachi Vantara
This presentation will look at:
• Understanding the business case
• Achievable phase 1 outcomes and timelines
• Core technical infrastructure and skills
• Pitfalls and roadblocks
The Data Lab
Gillian Docherty, Chief Executive Officer, The Data Lab
This presentation explores:
• Data and Innovation in Scotland
• Investing in data-led transformation
• Upskilling companies – addressing the skills gaps
• Building a data community
Questions to the Panel of Speakers
Morning Networking and Refreshments Served in the Exhibition Area
If Data is the New Oil then our Data Pipelines Empower Payments in the Digital Economy
David Walker, Enterprise Data Platform Programme Director, Worldpay
- How much data do we get and how fast does it arrive
- How do we process the data when we get it
- What do we do with the data and how does it affect our business
Analysing the Flow-of-Goods in Grocery Retail
Guy Cuthbert, Chief Executive Officer & Chief Technology Officer, Atheon Analytics Ltd
• The flow of goods and flow of information in UK grocery retail
• The business challenges and market need for visualising the flow-of-goods to address availability and waste
• The technical challenges and solution – visual analytics over high-speed databases
• Service impact and close
Questions to the Panel of Speakers and Delegates move to the Seminar Rooms
(To view topics click here )
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
Engaging the Maintainers
Stephen Foot, Head of Asset Condition, TfL Engineering
The session will discuss:
• The TfL business challenge
• Releasing greater potential from our asset data to support modernising LU’s asset maintenance
• Engaging the maintainers to change
What’s missing from Big Data?
Satya Singh, Data Strategy and Analytics Manager, Discovery Communications
Big data is a vague term – it is often mentioned at various places probably when someone has something to sell. There are a lot of small problems that usually occur in big data. Those problems become larger as we capture more and more. Today, we have an urge to keep collecting data. An urge to keep connecting various lines of evidence. A fundamentally flawed approach is to gather as much information as possible even if it can’t be quantified. Are we capturing a humungous amount of data to measure it qualitatively or are we acting on our emotional conviction? At what stage do we say that big data is too big to enable decisive action and how do we know what is missing from big data which can help us to arrive at decisions?
Ultimately, nobody wants data, we all want to make decisions which we can justify using data. None of the evidence suggests that data analysis is futile in fact it is profitable. However, profitability should not be confused with big data being correct or omniscient. Big data often excludes qualitative unbiased data which can be analysed to make decisions. Big data does an outstanding job regarding answering “What,” “Where” and “When” rather than “Who” and “why they do what they do.” This presentation explores what is missing from big data to make it truly ‘big.’
Early Detection: Leveraging AI analytics to discover business incidents sooner, protect revenue, and keep clients at ease
Travis Johnson, Vice President Engineering, AppNexus
• Receiving billions of ad requests, clicks and conversions every day, AppNexus, a leading ad tech company, needs to monitor its client performance, which varies widely from client to client.
• A swing of 100,000 daily impressions could be normal for one client, but an incident for another.
• AppNexus will discuss the AI tools they use to automatically learn the patterns of its clients’ most important buying and selling objects, alerting AppNexus when critical anomalies occur.
• Based on insights gained about unknown unknowns, AppNexus can proactively reach out to clients and address incidents, keeping their customers happy and preventing unnecessary revenue loss
Voice of the Customer – Using Topic Modelling to understand what your customers are telling you
Ian Williams, Data Scientist, N Brown Group
Like many retailers, N Brown Group is always asking its customers for feedback on their experience of shopping with their brands like JD Williams, Simply Be and Jacamo. This creates a wealth of information that has not been fully mined for understanding issues and where to take action.
This presentation outlines the journey N Brown are on to consolidate Voice of the Customer data and reporting. We will look at how they have used machine learning in R to extract the key topics customers are talking about within customer verbatim feedback and discuss some of the strengths and weaknesses of those different approaches.
Questions to the Panel of Speakers
Afternoon Networking and Refreshments served in the Exhibition Area
Case Study – Proagrica
Graham Charlesworth, Search Technologies, Vice President Sales, Europe
With 9.6 billion people in the world by 2050, Proagrica, a RELX company, is focused on enabling the agriculture industry to feed the world more sustainably into the future. Evidence-based production, a method of farming that embraces technology and utilizes data to improve on-farm production, is at the heart of Agility, Proagrica’s new data analytics platform, bringing critical insight to support higher-yielding and more efficient farming practices.
The case study will show how Proagrica provides in-season analytics displaying crop protection, planting, and nutrition operations across UK farms. This allows for in-depth analysis based on crop, soil type, region, cropping stage, and much more, enabling UK farmers to identify trends, threats, and opportunities as they occur.
Data Quality and Business Change – The Misplaced Parts of the Data Analysis Journey
Liam Grady, Head of Transformation – Water Supply, Thames Water
We focus as an industry on the tools, the part of the data analysis journey that is focused on pattern recognition, algorithms, amazing ways of visualising data. We sometimes forget the old adage that without good data to base our analysis on or without helping our businesses and clients realise the use, importance and maintenance of the platforms and the source data, any analysis journey is destined to fail.
The Data Platform for the Right-Now Economy
Aaron Regis, Solutions Engineer, DataStax
This session will explore:
• How expectations about the way we interact with data have changed
• Disrupt or be disrupted – Netflix customer use case
• DataStax powering the Right-Now economy with its data platform
Questions to the Panel of Speakers
Closing Remarks from the Conference Chair
Conference Closes, Delegates Depart
Whitehall Media reserve the right to change the programme without prior notice.