Getting access to data is always a high priority for all data scientists. Anyone delaying or blocking access to data is often regarded as ‘the enemy’. But when the data source is SAP the challenge takes on a whole new meaning with endless requirement forms and waiting times of geological proportions. Any data scientist in medium-to-large companies will inevitably face this humongous challenge with accessing SAP data.
But what if data scientists had access to all SAP data all the time ?
On 22-Jun, a “Free-Your-SAP-data” seminar will explain how to access all SAP data within days (not years), then let data pour in real-time to fuel science. This seminar will explain the underlying technology and share examples from several of the world’s most popular brands in the food, beverages and manufacturing industries.
Location: Leuven Venue: Park Inn Leuven Date: 5 March 2015 Time: 13.30 – 17.00
As the amount of data held by all businesses grows, companies are increasingly turning to agile data analytics techniques to make better decisions, find new opportunities and reduce risks. Whether it’s experimental data, data from simulation packages, or even sales and marketing data, come to this free seminar to experience how to quickly and easily create advanced analytic tools for your own business.
Data Analysis and Visualization with MATLAB
Building intelligent systems with Machine Learning techniques
Handling Data that cannot fit in one computer’s memory
Who Should Attend:
Data analysts, scientists, engineers, managers, quantitative analysts, analytical researchers, risk managers, financial engineers, actuaries and traders, anyone wanting to improve how data is used with their business and/or who might be interested in learning more about statistics, machine learning, data analytics and “big data”.
Registration & welcome coffee
Analyzing Data in the MATLAB environment
Easily read data from multiple sources (spreadsheets, databases)
Data exploration and visualization
Data Analytics with MATLAB
Data Analytics Challenges and Solutions
Marketing Campaign with Supervised Learning
Clustering Corporate Bonds with Unsupervised Learning
Tackling Big Data
Best practices using memory
Hadoop Integration using Map, Reduce, and Datastore
Session 1: What Every Supply Chain Professional Needs to Know About Analytics,
Session 2: A More Agile Approach to Supply Chain Intelligence,
Session 3: Optimize Your Supply Chain Visibility Through Analytics,
Session 4: Panel discussion: Big Data in the Supply Chain,
Session 5: Delivering Value Using Operational Business
Dolce La Hulpe Chaussée de Bruxelles 135 1310 La Hulpe Belgium
Tuesday, November 18, 2014 from 1:00 PM to 5:00 PM (CET)
Business Analytics for All
Business Analytics for All manages a community where business and technical professionals come together to share ideas, connect with peers and get must-have insights in order to maximize the business impact of information management and business analytics initiatives.