Vodafone speaking at Big Data London

We are delighted to announce that Sean Francis is speaking at Big Data London on 13 November in the Governance and MDM theatre at 2.30pm. He will be speaking about building data excellence.

Like many businesses Vodafone UK Finance have been on a journey with regards to combining data to drive insight. This talk is a real world case study of the team’s 3 year journey to integrate new systems whilst maintaining legacy, bringing it all together and deciding how to generate useful and trustworthy insights. Sean will describe the many challenges en route, especially around building and demonstrating trust in the analytical outputs. This has required a more back to basics approach but has enabled control and are now working on a more integrated and innovative approach, combining process, behaviours and technology.

Sean describes himself as a ‘datamonkey,’ who has spent a career delivering and managing business change through the use of data and its application. He has helped lead the charge in Vodafone BI and at BSI, driving transformational change through the application of technology and data. As a BI Manager in Vodafone UK Finance, he is responsible for ensuring that data is carefully managed and readily accessible throughout the delivery and key operational processes, whilst also assuring it’s quality.

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Big Data London - we are exhibiting

Meet us at Big Data LDN on 13-14th November 2018! 

Big Data LDN is the UK’s largest free to attend data & analytics conference and exhibition. It is open to all and will host leading global data and analytics experts, ready to arm you with the tools you need to deliver the most effective data-driven strategy. 

With content divided into comprehensive sections, you’ll have the opportunity to ask the big questions, share ideas with forward-thinking, likeminded peers, and learn from leading members of the Data community.

Big Data LDN is back for a third year and is set to be larger than ever in 2018. The two day event is essential for those with businesses wanting to deliver a data-driven strategy. Get the latest updates on Machine Learning, AI, Fast Data, DataOps, Analytics, Microservices, Governance, Customer Experience/Customer Engagement and much more. 

Expect 130 speakers, 8 Theatres, Panel Debates, Use-cases and more…

Be in the vanguard of the data revolution, sign up to Big Data LDN and learn how to build a bright data-driven future for your business.

Register free here and visit us on stand 241 at the event.



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Venturing into Machine Learning – Start small and keep it real

The world of Advanced Analytics, Artificial Intelligence and Machine Learning is amazing, but also very intimidating. The big boys (Google, Facebook etc.) are doing some very clever, yet potentially unsettling things. However, I think bridging the gap between this hype and real-world applications in your business is hard!

Conversations with our clients are fascinating at the moment as they require a good understanding of both the business and the art of the possible. Typically, they are excited to get going, don’t really know where to start, and then end up boiling down into one of a few real world scenarios…:  

  1. Using anomaly detection techniques to monitor thousands of operational data feeds, KPIs or machine level outputs in real time. Many systems will use crude threshold alarms, but it is possible to be much better with models that learn ‘normal’ and then look for anomalies in real time.
  2. Extending scenario one into process optimisation. What are the factors that drive the process outcome (customer satisfaction, sales or yield)? Can these be better managed to improve performance?
    Reduce your dependency on manual checking by automating repetitive checks (e.g. invoice validation)

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Big Data London

I attended my latest ‘data’ conference recently, getting a pass from the team to go to ‘Big Data London’.

Given this was my first time at Big Data LDN (not London!) I didn’t really know what to expect, so the things I walked away with are perhaps not news to some, but they are a reflection of what I heard from speakers, observed at stands and took from chats with several folk.

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