Today, with most people connected to the Internet, the power of the customer is almost limitless. The Internet has given them freedom to choose in a way that business could never have imagined. They can browse your competitors’ web sites with ease. They can compare prices, they can view sentiment about your business, and they can switch loyalty in a single click any time anywhere all from a mobile device. In addition, the emergence of social media sites means that customers also have a voice. They can express opinion and sentiment about products and brands on Twitter Facebook, and review web sites and create social networks by attracting followers, and following others. For many CEOs, customer retention, loyalty, service and growth are top of their agenda. In addition improving operational effectiveness is also high on their priority list. The only way they can achieve this is to acquire more data. CMOs also want access to new data to enrich what they already know about customers. New data is needed to provide insight on customer on-line behaviour for better segmentation and to understand the value of a customers’ social network and not just the customer. In addition, COOs want more data to become more effective in operations. Instrumentation is therefore being added so that operations can capture new data. With so much demand we are now in an era where data has never before been so important to business in helping to create competitive advantage.
This new 2-day seminar looks at the need to capture new data sources to add to what we already know and use machine learning to automatically discover, profile and catalog what is in these data sources. It then looks at how machine learning and advanced analytical techniques such as text analyses, sentiment analysis, graph and streaming analytics can be used at scale on Big data to provide new insight that helps foster growth, reduce costs and improve effectiveness for competitive advantage.
Learning objectives
Attendees to this seminar will learn:
Target audience
Business Analysts, data scientists, BI Managers, data warehousing professionals, enterprise architects, data architects CIO’s, IT Managers
At the top of this page you can download the PDF brochure of this workshop.
Van der Valk Hotel Utrecht
Winthontlaan 4-6
3526 KV Utrecht
Telefoon 030 8000 800
The hotel is very well accessible by public transport. From busstop ‘Kanaleneiland Zuid’ it is only a three-minute walk. You can take buses 63, 65, 66, 74 and 77 from Utrecht Central Station and you also take the tram line 20 or 21 from the train station and get off at stop ‘Kanaleneiland’. Please consult www.9292.nl (door-to-door journey planner, also available in English) or call 0900-9292 (travel advice by phone, € 0.70 p/m).
Van der Valk Hotel Utrecht is also located next to the highway A12, exit 17 (Utrecht / Jaarbeurs / Kanaleneiland).
Although the hotel has a large parking garage, we cannot guarantee parking spots. We therefore advise you to go by public transport.
For those who would like to arrive the day before, there is the possibility of staying at the Van der Valk Hotel Utrecht. However, the hotel does not provide special discounts for attendees of events. Therefore, when interested in an overnight stay, please consult Van der Valk directly to make a reservation.
More information about the hotel and the location can be found on their website www.vandervalkhotelutrecht.nl.
Taking part in this two-day workshop will only cost 1305 Euro when registering 30 days beforehand and 1450 Euro per person after the Early Bird period expires (excl. 21% Dutch VAT). This also covers documentation, lunch, tea/coffee.
Members of the DAMA NL, Belux or UK Chapter are eligible for 10 percent discount on the registration fee.
In completing your registration form you declare that you agree with our Terms and Conditions.
Extra discounts
Discounts are available for group bookings of two or more delegates representing the same organization made at the same time. Ten percent off for the second and third delegate and fifteen percent off for all delegates when registering four or more delegates (all delegates must be listed on the same invoice).
This cannot be used in conjunction with other discounts.
Payment
Full payment is due prior to the event. An invoice will be sent to you containing our full bank details including BIC and IBAN. Your payment should always include the invoice number as well as the name of your company and the delegate name.
For Credit Card payment please contact our office by e-mail or through our contact form mentioning your phone number to obtain your credit card information. Never mention your credit card details in our registration form, contact form or in e-mail messages.
The course starts at 09.30 am and ends at 5 pm. Registration commences at 08.30 am.
MODULE 1: AN INTRODUCTION TO DATA EXPLORATION, DISCOVERY AND VISUALISATION
This session introduces the relatively area of data discovery and visualisation and looks at why businesses now need
MODULE 2: GETTING STARTED WITH PREDICTIVE ANALYTICS AND MACHINE LEARNING
As we move into the era of smart business, looking back in time is not enough to make good decisions. Companies have to also model the future to forecast and predict so that they can anticipate problems and act in a timely manner to compete. Predictive analytics is a therefore a key part of any BI initiative and should be integrated into analysis, reporting and dashboards. This session introduces predictive analytics and how shows how it can be used in analysis and in business optimisation
MODULE 3: ADVANCED ANALYTICS FOR MULTI-STRUCTURED DATA
This session looks at emerging analytical technologies for multi-structured data and explores how you can use them to improve business insight. Not all analytical projects are implemented using relational database technology, especially when it comes to very large data volumes with unstructured content, semi-structured JSON or XML data, sensor data, and clickstreams. This session looks at the emergence of advanced analytics using Big Data NoSQL Platforms like Hadoop. It looks at the approaches to analysing complex unstructured and social content and the challenges of creating valuable business insight from multiple sources of unstructured content.
MODULE 4: SEARCH, BI & BIG DATA
This session will examine the growing role of search in an analytical environment both as an information consumer tool for self-service BI and as a way of analysing both structured and unstructured data. Search has been incorporated into BI tools for some time, but with the emergence of Big Data as a platform for analysing unstructured information, it is taking on a major new role. Search is a simple mechanism that is familiar to most people, and opening up the interactive use of BI via search can have enormous business benefits. Search can be used to grow the use of BI to a much wider group of users and also provide a way to extract additional insight from unstructured content. Topics that will be covered include:
MODULE 5: DEPLOYING AND USING SELF-SERVICE DATA DISCOVERY AND VISUALISATION TOOLS
Self-service data discovery and visualisation tools are frequently sold into business departments so that local business analysts can start building their own BI applications without having to wait for IT. These tools offer the attraction of agile development and much faster time to value. When business areas buy them it often means that development starts without any IT guidance and quickly spreads to other parts of the business with little thought for integration or re-use. The result is that inconsistency and chaos can quickly set in. This session looks at best practices in deploying these tools and how to maximise business benefit through re-use and integration with predictive and advanced analytics deployed in-database, in-Hadoop, in-Spark and in-streaming analytics platforms to leverage analytics at scale. It also looks at newly emerging OLAP on Hadoop to enable scalable multi-dimensional analysis.
“A very good overview of the available predictive analytic techniques.”
“Excellent overview and analysis of a very dynamic domain.”
“A comprehensive overview of tools methodologies, techniques and technology.”
“A very good overview of the available predictive analytic techniques.”
“Excellent overview and analysis of a very dynamic domain.”
“A comprehensive overview of tools methodologies, techniques and technology.”
“A very good overview of the available predictive analytic techniques.”
Practically all of our seminars and workshops can be offered as an In-house course for your company exclusively. We can tailor with extra focus on specific topics that apply to your organization. Also available in online format or in face-to-face format with live video stream.