Conference announcement: Big Data Week in London

I am happy to announce the conference Big Data Week. I managed to get one free ticket, which I will give to a reader of my blog. What’s necessary for you to get the ticket:

  • Share the blog post (Twitter, LinkedIn, Facebook) and send the proof of that to me via mail
  • Write a review (ideally with some pictures)

About the conference:

You are invited to attend Big Data Conference which is going to take place in London, on November 25.

This year conference’s theme is Big Data in Use: presenting innovative use cases coming from retail, advertising, publishing, IoT and gaming domains.  Companies that implemented such projects will showcase their impact in the business, the benefits and the challenges, both technical and business wise.

Get your ticket now and learn from industry experts, put your existing knowledge to work and forge lasting relationships within one of the most exciting big data communities!

Why should you attend?

Confirmed speakers and themes for the 2015 lineup include:

  • New business models:  Exterion, Honest Caffe, Copenhagen City Exchange
  • Big Data in Retail: Shop Direct, Dunnhumby, EBI Solutions
  • Grow your business with machine learning: Yandex Data Factory
  • How to value data: Dunnhumby, The Economist, Skimlinks, Exterion
  • Data Models and Architectures: Excelian, ShopDirect, Skimlinks
  • 3 Panels: Big Data in Retail, How to become a data driven company, Data Scientists & the Business
  • 1 Workshop: How to become a data scientist? (Technical Track)

 

Your VIP ticket extra-benefits include:

  • 4 Trainings – Big Data in Retail and Real time processing of data – sessions on  23, 24, 26, 27 November 23, 24, 26, 27
  • 70% discount on a second conference ticket – One Day Pass
  • VIP Lounge and after conference networking party access

*** A little special something for our community: the organizers are offering you an exclusive 20% off! Just use this code: CloudVane_20_Off***

Super Early Bird Tickets on sale until October 16th!

Want to find out more? Check out the Conference Website.

RACEing to agile Big Data Analytics

I am happy to announce the development we did over the last month within Teradata. We developed a light-weight process model for Big Data Analytic projects, which is called „RACE“. The model is agile and resembles the know-how of more than 25 consultants that worked in over 50 Big Data Analytic projects in the recent month. Teradata also developed CRISP-DM, the industry leading process for data mining. Now we invented a new process for agile projects that addresses the new challenges of Big Data Analytics.
Where does the ROI comes from?
This was one of the key questions we addressed when developing RACE. The economics of Big Data Discovery Analytics are different to traditional Integrated Data Warehousing economics. ROI comes from discovering insights in highly iterative projects run over very short time periods (4 to 8 weeks usually) Each meaningful insight or successful use case that can be actioned generates ROI. The total ROI is a sum of all the successful use cases. Competitive Advantage is therefore driven by the capability to produce both a high volume of insights as well as creative insights that generate a high ROI.
What is the purpose of RACE?
RACE is built to deliver a high volume of use cases, focusing on speed and efficiency of production. It fuses data science, business knowledge & creativity to produce high ROI insights
How does the process look like?

RACE - an agile process for Big Data Analytic Projects

RACE – an agile process for Big Data Analytic Projects


The process itself is divided into several short phases:

  • Roadmap.That’s an optional first step (but heavily recommended) to built a roadmap on where the customer wants to go in terms of Big Data.
  • Align. Use-cases are detailed and data is confirmed.
  • Create. Data is loaded, prepared and analyzed. Models are developed
  • Evaluate. Recommendations for the business are given

In the next couple of weeks we will publish much more on RACE, so stay tuned!