#DataMunch brings together some very passionate and excitable digital and data experts who will be sharing their business data know-how. Join us and enjoy some tasty data insights as well as discovering those essential ingredients including:
- Processes behind effective data analysis and their business applications
- Problem solving creatively with data
- Principles of refining data analysis so that it can be ‘algorithmised’ – a very iterative and non-linear process indeed
- Aspects of data analytics we know so well that we can teach a machine to do it
- Realising successful data-driven transformation by embracing analytics culture throughout your entire organisation
Speakers will include:
Gerry McNicol – Co-founder, BiG Consultancy Gerry will talk about how Big Data is being used in industry and routes to data-maturity within your organisation. Focussing on data-driven tools and solutions for the marketing sector such as rich customer segmentation, real-time personalisation and predictive analytics.
Jonny Day – Head of Digital Marketing, Crowdcube Jonny will be sharing Crowdcube’s use of data to understand their business goals, key metrics not vanity metrics and using data to drive change and product improvement. Including how and where to focus time and resource.
Christopher Proctor – Chief Executive, Oneserve Chris will debate how to future proof your business against the conundrum of decreasing customers’ cost palatability which is matched with increasing expectations of service quality, driven by technology and innovations. Listen out for a mention of a holy trinity of technologies – Big Data, IoT and Artificial Intelligence that can deliver a solution that truly moves the bar.
Chris Shadrick – Head of Digital Strategy, AB… Chris will run an interactive session, taking you through his top five tools that allow brands to have more control over their Digital Customer Experience by analysing customer data and digital interactions. Including a demo of one of the world’s most innovative big data customer experience solutions that replays user interactions.
Tom Moore – Solicitor, Stephens Scown Tom will give an entertaining report on the dwindling light of the Data Protection Act and many unknowns of the new General Data Protection Regulation. What does the looming compliance deadline mean for businesses and what should you do to prepare for it?
Improve every aspect of your business by transforming it into a Data-Driven Enterprise. We start with your key strategic goals, then map out a roadmap and build measurement points to work with every team ensuring they have the analytics and mindset to deliver continued process improvement. Until your goals are reached.
We guide your business through our Data Maturity Model to clearly define what you need to do to keep ahead of your competitors. We believe that data quality initiatives must run in parallel to business activities. That means there’s a need for an ongoing investment in data governance, within the parameters of your budget. You don’t have to aim for zero mistakes in your data, because that could be too expensive. Instead, we will help you achieve a state where your data is truly fit for purpose.
Look, computers are better at understanding data than humans. But doing this is fraught with problems and challenges. We are experienced at doing this and won’t just throw things around until it sticks.
Data is powerful. Go beyond human; react faster, more reliably and over much larger and complex datasets than your competitors. We develop solutions that leverage the latest in Machine Learning, Predictive Models and real-time processing that can solve real business problems and make your company breakaway from the pack.
Imagine the possibilities when analytics are an easy-to-consume medium as part of the work process!
Achieve single version of the truth by developing the processes for aggregating, quality-assuring and distributing data throughout the organisation to ensure consistency and control in the ongoing maintenance and applications of this information. The goal of any business intelligence is easy, self-service access to data.
We are a team of dedicated engineers who understand data technology, modelling, etc. You probably don’t have those people. Building an infrastructure for data analytics requires a unique and specialised set of skills. We are not application, mobile or web developers. We do not create advertising or content.
We do know how to build model and build hugely scalable data-Warehouses that can provide vital insights and knowledge about your business. We can deploy horizontally scalable compute clusters capable of processing data-streams with millions of message a second while using real-time in-memory machine-learning to make real-time predictions and interventions. And we can structure your data so that billions of complex relationships become easy to query. We both use and advise on a large range of specialist data and big-data technologies.