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
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?
Seizing the Big Data Opportunity: Is Data the new Oil?
Data-savvy companies are harnessing data to competitive advantage like never before. Big data pundits argue that it can deliver tangible business benefits. But just what are these benefits and are there any associated hidden costs and risks? Realising the promise of Big Data can be difficult but, in order to respond to this challenge, businesses have to reframe the conversation from being a purely technology issue to one of business value creation. This session will look at how you can engage in this re-framing and address questions like:
- What is the big data value proposition for your enterprise?
- What technologies can you harness to realise new business value?
- Could you create a new business model based on data? And what would this mean for your business in the long-term?
Enabling your Business to make Smarter Decisions
Big Data intelligence can help timely and context-aware decision-making. Key advantages also include better operations and planning decisions, as well as better insights for future business initiatives.
- What can an organisation’s data tell its senior management about the behaviour of customers, users, transactions and systems?
- How can businesses sift through an abundance of data to get answers to analytical enquiries and focus on what really matters?
- How can you run ‘what if’ analysis to test the effect of alternative scenarios on your business? – We consider the benefits of such predictive technologies and ask: if you could test all your decisions, how would this change the way you compete, innovate and grow?
Start Small, Think Big: How to Capitalise on Big Data
- The benefits of a data strategy – key components, challenges, risks and rewards
- Using your data to react to changing commercial environments
- Combining your operational, financial, digital and social data – and harnessing these for impactful action
- Building capability to view how data is consumed
- Establishing data quality and validation alongside governance processes to address compliance and regulatory requirements
- Addressing the challenge of unstructured data
The Essentials of Cultivating an Analytics Culture
Decision science is fast becoming the most powerful economic engine for large enterprise. How can your organisation create an analytics culture that encourages IT teams to enhance key processes? How can you encourage a culture of exploration, enquiry and innovation for all employees?
This session will explore the various ways in which analytics allow us to understand what happened or is happening in a business, why it happens, project future growth and prescribe actions that should be taken.
Questions to the Panel of Speakers
Morning Networking and Refreshments Served in the Exhibition Area
Case Study: How Data is Revolutionising Pharma R&D
A pharmaceutical explains how leveraging structured and unstructured data can help with research and development. This case study will give consideration to how new tools like machine learning and predictive modelling are opening up pathways for research, discovery and innovation.
Data in the Cloud
Having the ability to structure, monitor and manage all your data – from desktops and emails to phone calls and rich media – in the cloud allows you to ask your data vital questions. Recognising patterns in the billions of files that your cloud deployment ingests and indexes may well hold the key to your competitive advantage.
Managing your Supply Chain Data
This presentation explores:
- Using big data to mitigate supply chain risks
- Implementing early warning mechanisms
- Building resilience into supply chain management
- Improving forecasting accuracy
- Minimising the impact of disruptive events
Questions to the Panel of Speakers and Delegates move to the Seminar Rooms
(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
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.
Case Study: Harnessing your Predictive Insights
A predictive capacity can lead to better financial results and greater competitive advantage. In this presentation we hear from a major retailer on how they are capitalising on predictive analytics to deliver big results on such things as product profitability, revenue analysis, customer sentiment analysis, demand chain optimisation and sales performance monitoring.
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?
Questions to the Panel of Speakers
Afternoon Networking and Refreshments served in the Exhibition Area
Seeing the Big Picture: Real-Time Intelligence with Data Visualisation
- Understanding how data visualisation can enable businesses to drill down into their data and understand patterns and anomalies
- Getting insights faster from your data in order to take informed action
- Combining data visualisation with other tools to explore and integrate data
Mind the Skills Gap: Overcoming the Scarcity of Big Data Talent
Getting maximum value from Big Data rests on getting the right people looking at your data. Data scientist skills are hot in demand in today’s economy but demand for talented professionals is vastly outstripping supply. In this session, we consider:
- The current situation – Is there a big data skills gap?
- Skills needed for Big Data – What are the key disciplines required? And which skills are the hardest to source and develop?
- Hiring Data Specialists – What should your company look for?
- Future Trends – How will technological developments (e.g. the advent of IoT) shape demand/supply? How should academia address the data scientist shortage?
Closing Keynote: The Future of Big Data
With the ascendancy of machine learning, IoT and blockchain technologies, we explore how businesses can keep up with evolutions and innovations in the big data space. What does the future hold, how can businesses future-proof their investments and what will be the risks and rewards associated with harnessing data?
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.