SERVICES

In general
This course is a hands-on approach on the basics of data analysis and business intelligence. That is why students have the possibility to bring in real life problems from their current professional practice. Alle sessions are half-day and are based on practical case studies and standardized data used worldwide. Session didactics always follow the triangle of data manipulation, visualisation.

Requirements
Practice makes perfect: the most important skill to bring along is proper motivation and time. So if you like to work with data and want to learn more? Then everything will be fine.

Goals
After finishing this course the student has the basic abilities to:

• Read and load simple data(bases);
• Clean/organise data;
• Combine, match and aggregate data;
• Perform and apply simple analysis- and visualisation techniques;
• Able to discuss the use and benefit of complex techniques for specific problems or situaties;
• Visualise on a strategic and tactical level to enhance the impact of reports and reporting structure;
• Accelarate/automate reports for time efficiency and accuracy.

Applications needed
Excel, Powerpoint, MS Power BI and R.

For who?
Everyone with an interest in data science, but in particular: risk managers, product managers, proces managers, business analysts, project management officers (PMO), (fraud) analysts.

Time expenditure
This allround training is class room based and given over four weekly half-day sessions. In consultation it is possible to organise this course in-house or private.

Location
Rotterdam and Hoevelaken

In general
An Advanced Analytics training block can be one of the following modules:

1. Text analysis and text mining: utilise the strenght of written speech:
   
   • Sentiment analysis
   • Frequent words (word clouds, term-frequency)
   • Defining/unique words/word groups(tf-idf-analysis)
   • Text classification (use word paterns for prediction purposes)
2. Explorative/discovering analysis: discover relationships within data and visualise these effectively:
   • Regression analysis
   • Cluster analysis
   • Decision Trees
   • Principal Component Analysis
3. Predictive analysis: te predict outcome or classify data:
   • Regression analysis
   • Random Forest
   • Support Vector Machine

Goals
After finishing each module students are able to use basic code scripts and have the ability to practise and develop the techniques learned for further mastery.

Application
R and MS Power BI.

For who?
Professionals with love for data science and generally proficient in the basic skills similar to the goals of our Business Intelligence Basics course. Please feel free to contact us about for further enquery.

Time expenditure
Eacht module is class room based and given over three weekly half-day sessions. In consultation it is possible to organise this course in-house or private.

Locations
Rotterdam and Hoevelaken

In general
Together with our clients we develop tailor made E-learning modules. These modules increase general emloyee knowledge and skill to tell honest mistakes from deliberate fraud in an interactive and effective way.

An E-learning module gives not only gives insights about fraud and all of its shapes, but also about the parts of key processes which are vulnerable for mistakes, both accidental ánd deliberate.

This results in a complete, fair and balance increase of fraud awareness of everyone who participates.

Goals
After finishing this course the participant has basic knowlegde about telling honest mistakes from deliberate fraud, in particular:

• Know the definition of fraudulent behaviour;
• How to recognise fraud (and tell from mistakes);
• Which processes and what parts are vulnerable for fraud;
• What the profile is of a typical fraudster;
• What motivations fraudsters have;
• Which shapes fraud can take;
• What is expected of the different company roles and functions within your organisation.

For who
Alle employees: managers, operations, staf and projects.

Time expenditure              
A general E-learning takes approximately 30 minutes time for each participant.

In general
Micro Learnings are sharp and short modules which are a fitting sequels to the more general E-learning modules.

In general they are used to highlight practical job- or branch specific situations. Micro Learnings take up to five minutes.

Specific branches are:

• Pensions;
• Life;
• Non-life;
• Disability;
• Health Care;
• Hospitality (cash process).

For who?
Employees with mainly operational responsibilities like underwriters, claim handlers, disability claim handlers, hotel employees, etc.

Time expenditure
The average module takes up to five minutes to complete.