LobsterPot Solutions is teaming up with Microsoft and Chamonix to bring an event focused on Power BI and Azure ML, on December 8th 2014. For more details, read on.
This was sent out the other day from Microsoft:
Recently, Microsoft has brought you a number of briefings and events presenting our vision for innovative ways to accessing data and garnering concrete business value from it.
We have demonstrated our vision for ways to search, query, mash-up, share and visualise data that will enable business and government to gain valuable, real insights into their operations and make decisions faster and more accurately.
Join Microsoft, Chamonix and LobsterPot Solutions, and we will show you how this vision is being executed.
This briefing will cover:
1. Fresh business insights
See Chamonix demonstrate how vast amounts of data can be interpreted easily to identify key indicators to improve and support your operational and strategic decisions.
2. Easy-to-use analytics tools
LobsterPot Solutions will further extend the value of such data by showing you how the traditionally complex and slow delivery area of predictive analytics is now easy to operate, producing models quickly and without requiring highly specialised and scarce skills.
3. The power of data
See how Microsoft is delivering Software as a Service with innovative capabilities that leverage insights from data with the same speed at which you run your business or government department.
After this briefing you will have seen how Microsoft’s Business Intelligence vision is a pragmatic way to rapidly deliver business decision support capabilities to the knowledge workers in your organization, using familiar tools and technologies with speed and great value for money.
Suited for those who wish to extract more value from their data assets, to drive new and meaningful insights into the current and future performance of their business or government department.
Monday 8 December
Increase your understanding of modern data insights and predictive tools in a pragmatic, real life context.
This post was originally published on November 24, 2014.