Session ONE – Utilising Big Data Analytics to Extract Value and Achieve Actionable Business Insights
- Making Business Sense of Big Data: What does it mean for your enterprise and how can you harness it to add value and improve performance?
- Forecasting and Decision-Making: Turning data into new visibility, gaining real-time and actionable insights and business intelligence to inform better decision-making
- Utilising predictive analytics for impactful action
- Building an agile, responsive and powerful Big Data architecture
- Opportunities & Challenges: Identifying trends and patterns of activity in structured and unstructured data to better understand your customers, users, transactions and systems
The Conference Chair’s Opening Remarks
Making Business Sense of Big Data: 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?
Leveraging your diverse high volume data for business growth
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?
The Essential Role of the Chief Data Officer
The CDO role is critical to extracting value from enterprise data. They are essential to making sure that data is accessible, well-managed and governed in a systematic way. While nearly a quarter of Fortune 500 companies employ a CDO, many do not know how to structure this role. In this presentation we explore the CDO’s critical imperatives including leveraging Big Data in the enterprise (transforming business culture, monetising from data), enrichment (combining multiple sources of data to enrich decision-making), protection (threat analytics, robust cyber risk management) and upkeep (ensuring the enterprise is meeting regulatory and compliance needs).
Transforming your Business Culture to View Data as an Asset
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: Leveraging Big Data to answer Tough Business Questions
A financial services giant explains how leveraging structured and unstructured data can help with identification, investigation and action. This case study will give consideration to how big data can assist in fraud discovery, unstructured data mining, increased efficiency and ROI.
Big Data in the Cloud
It is estimated that by 2020, as much as a third of all data will live or pass through 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
As markets change rapidly, business leaders and decision-makers cannot resort to spreadsheets and compromised analytic integrity and data. In this session we look at:
- 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 attendees move to seminar rooms
Networking Lunch Served in the Exhibition Area
Session TWO: Big Data, Big Impact – 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
The Conference Chair Opens the Afternoon Session
The Analytics Imperative
Unlocking the real business value of Big Data rests on getting the right alignment between your strategy, technology and organisational structure. We look at:
- Connecting to any data source and model at any time
- Building resilience/security in distributed data environment
- Supporting SSO / IAM
- Embedding analytics into existing applications
- Provisioning users from different functions and levels with relevant actionable intelligence
A Big Data strategy for Enterprise Security
How can a large organisation maintain security across a high volume of users and devices? We look at:
- The discovery of unknown threats, accelerating forensic analysis
- Analysing collected data to be able to derive inferences and projections about possible attacks, and the likelihood of adversarial attacks
- Being able to perform research on the behaviour of adversaries against existing operations and technologies
Leveraging Mobile Business Intelligence
The convergence of big data and mobile devices is still emerging, and in its early phase. With the ubiquitous use of the smartphone and tablet devices, how can businesses harness insights from mobile devices?
Questions to the Panel of Speakers
Afternoon Networking and Refreshments served in the Exhibition Area
The Benefits of Real-Time 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
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. Little is known about the newly instituted role of the Chief Analytics Officer (CAO) and whether your company even needs one.
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 academia should respond to the data scientist shortage?
Next Generation Predictive Analytics
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.
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.