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 DWBS (Databases & Web-Based Systems), University of Salford
Exploring the Disruptive Potential of Big Data as a Game-Changing Enterprise Technology
In today’s world, harnessing analytic capabilities to drive business growth is going to be a key differentiator for any enterprise. But how can businesses tap the huge deluge of data, both structured and unstructured, to achieve the greatest impact and insights? How do you leverage your data assets and deploy tools that lead to prescriptive action? In our opening keynote session, we look to address these questions and more, including:
- Why is Big Data Analytics becoming so important and what can we do with it? What are the key drivers for Big Data?
- How can enterprises establish a roadmap for Big Data implementation, and gather momentum to create a game-changing vision for their business?
- What is the potential for Big Data to fuel technological disruption? What impact is it having on emerging technologies (e.g. IoT) and how will it impact the conventional IT department?
- How can enterprises provide governance across data when the originating sources may have varying quality and privacy/security constraints?
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, 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 the rapidly changing market & customer? 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.
Nordea Case Study
Peter Sergio Larsen, Chief Data Scientist (Financial Crime), Nordea
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 & timelines
• Core technical infrastructure & skills
• Pitfalls and roadblocks
Start Small, Think Big: How to Capitalise on Big Data
Gillian Docherty, Chief Executive Officer, The Data Lab
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
• Flow of goods – and flow of information – in UK grocery retail
• Business challenges and market need visualising the flow-of-
goods to address availability and waste
• Technical challenges and solution – visual analytics over high-speed databases
• Service impact & 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
How to Improve Customer Experience with Data
Customer experience is increasingly becoming the battleground on which companies compete. We explore common challenges businesses face when it comes to harnessing data and how they should approach data as they look to grow.
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 data. 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.’
Is Big Data Just For Data Scientists?
- How big does data need to be to qualify as big?
- What is data science?
- How can data scientists communicate with key stakeholders and the wider organisation for optimal benefits?
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 of 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
Early Detection: Leveraging AI analytics to discover business incidents sooner, protect revenue, and keep clients at ease
Travis Johnson, VP 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.
Liam Grady, Head of Transformation – Water Supply, Thames Water
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 it’s 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.