C-DA

Certified Data Analysis Professional

 
 

Introduction

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This course aims to improve the decision making process through a rigorous data analysis within the company, as well as to enable managers and analysts to draw insights from both quantitative and qualitative data. Participants will understand, through practical learning, how to effectively collect, analyze and interpret data for a better decision making process, based on historical data and trend analysis.

By attending this course, participants will gain both theoretical knowledge and practical skills in working with data. The information will enable them to better understand the meaning of data and the insights that it reveals.

3 Key Business benefits

  • Improve the organizational decision making process by optimizing data related activities;
  • Get a deeper understanding of the connections between the business environment and your organization by improving the way you interpret data;
  • Reduce the time needed to analyze organizational data through a rigorous process of synthesizing and aggregating data.

Benefits

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  • Receive guidance to improve your data collection process;
  • Support organizational processes by developing a customized data analysis framework;
  • Optimize the decision making process by exploring efficient ways to analyze data;
  • Improve initiative management through insights generated from the use of data analysis tools;
  • Obtain premium recognition as a Certified Data Analysis Professional by completing a unique learning program.

Learning objectives

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  • Differentiate between the dimensions of data quality;
  • Get insights on best practices in data collection;
  • Analyze solutions for organizing, synthesizing and aggregating data;
  • Apply data analysis techniques on both quantitative and qualitative data;
  • Understand the common and special causes of a measure’s variance;
  • Learn how to effectively report data analysis;
  • Discover ways to improve performance reporting of KPIs or metrics.

Agenda

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Day 1 – Understanding data analysis

Common questions about performance analysis 

  • Comparing planned and actual performance;
  • Significant variance – a drive for corrective actions?
  • Data analysis process;
  • Analysis based realignment;
  • Data analysis governance.

Data collection

  • Data collection process;
  • Data quality dimensions;
  • Data accuracy;
  • Logical inconsistencies;
  • Bias in the collection process;
  • Sampling errors;
  • Data comparison;
  • Content analysis;
  • Activity: Demonstrate the importance of data quality.

Organizing, synthesizing and aggregating data

  • Challenges in aggregating data;
  • Scorecards and dashboards;
  • Expert judgment;
  • Meta-analysis and evaluation synthesis;
  • Data normalization;
  • Data Analysis Maturity Model;
  • Activity: Practice data normalization.

Day 2 – Data analysis

Data analysis tools and techniques

  • Analysis tools;
  • Tips for getting insights from the conducted analysis;
  • Planned vs actual performance;
  • Trends identification and analysis;
  • Statistical process control;
  • Activity: Apply different analysis techniques on the same data.

Causes of the variance

  • Common and special cause factors;
  • Types of Business Intelligence solutions;
  • Planning actions based on the prioritization of findings;
  • Analysis based on histograms and Pareto Charts;
  • Rules for interpreting data and formulating conclusions;
  • Activity: Create analyses using histograms and Pareto charts.

Single variable vs multivariate information 

  • Difference between single and multivariate information;
  • Techniques used to analyze single variables;
  • Techniques used to analyze relationships between variables;
  • Influence of data type on the analysis techniques;
  • Types of data and techniques used for analysis.

Day 3 – Indexes & Presentation of data

Performance Indexes

  • Performance index overview;
  • Performance index development;
  • Performance index calculation;
  • Activity: Review examples of performance indexes.

Data Presentation

  • Effective data presentation;
  • Data visualization tips;
  • Data reporting process;
  • Action-oriented reports;
  • Briefings;
  • Reporting methods;
  • Report generation using simplified graphs.

Course Review and Certification Exam

  • Course review;
  • Certification exam.

Inclusions

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1. Course materials:

  • Course slides;
  • Course notes.

2. Templates:

  • Dashboard;
  • Balanced Scorecard;
  • Portfolio of Initiatives.

3. Premium Subscription on smartKPIs.com available for 6 months, providing access to 500 fully documented KPIs and over 20.000 KPIs enlisted.

4. One research report from the Top 25 KPIs series.

5. Free access to all webinars from the 2014 Performance Management Webinar Series for 3 months.

Participants

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Professionals interested in analyzing data

Professionals from different fields, interested in the subject of data analysis, data collection and the data reporting processes will improve their knowledge and competencies in these areas.

Top/middle/lower management professionals

Individuals, such as executives or operational managers, regardless of their field of expertise, will gain the ability and knowledge to better analyze and understand performance measurement data and will be able to maximize the meaning of data provided by KPIs and metrics.

Performance Management experts

For professionals like data analysts, strategy managers, performance management officers, project managers, it is important to develop competencies in analyzing data related to KPIs or metrics. Usually, this particular audience already has a performance measurement system set in place and the Certified Data Analysis Professional training course offers them the opportunity to better organize, analyze, report and understand the meaning of the data provided through specific metrics or KPIs.

Faculty

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This course will be delivered by one of our trainers. Our faculty are certified master trainers, with abundant experience as both practitioners and education providers. Having both professional and academic experience, our trainers are able to bring the depth and breadth of their knowledge to our courses.

Being extensively certified reaffirms our credibility as a training provider and also supports our goal of delivering consistent quality to our valued clients.

For more details visit Our Faculty page.

Learning experience

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Pre-course

This part of the learning experience is meant to ensure a smooth transition to the face-to-face training. For a successful learning experience, it is highly recommended to take the following steps:

  • Introduction – share an introductory message to present yourself and your experience to the other participants in an online group;
  • Pre-course evaluation – complete a need analysis, take a short quiz to establish the current level of knowledge and share your expectations. As a part of this self-evaluation, you will establish personal learning objectives for this training course;
  • Prerequisite reading – review several materials, including case studies on data based decision making, along with introductory material on the basics of data analysis and the terminology used during the course;
  • Guidance and schedule – read a document presenting guidelines on how to maximize your learning experience, by using all the resources offered, as well as a recommended learning schedule.

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Core course

During the three days of face-to-face training, the course is designed to facilitate practical learning and ensure a high level of dynamism. The exercises used to enhance competencies development range from understanding simple concepts to comprehending extensive analysis methods used within the management field. The learning experience consists in:

  • Applying concepts in practical exercises;
  • Analyzing case studies and identifying solutions;
  • Practicing techniques for analyzing, aggregating and synthesizing data;
  • Evaluating participants’ knowledge, through short quizzes to support the Certification Exam;
  • Sharing experiences and best practices.

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After-course

  • Action plan – submit a plan to explain how you intend to change the way you are analyzing, interpreting or reporting data within your organization, 3 days after the training course;
  • Self-assessment quiz – access another self-assessment test to see how much you have retained, 3 weeks after the training course;
  • Additional reading – review a list of resources, such as books, articles and books, which are meant at ensuring a continuous learning experience;
  • Webinar – view a short on how to use business intelligence software solutions for data analysis.

Evaluation

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The certification process is finalized only when you complete all of the 3 stages of the learning experience. Nonetheless, you will receive a:

  1. Certificate of Attendance: after participating at the 3 days of on-site training course;
  2. Certified Data Analysis Professional diploma: after you have successfully completed all of the 3 stages of the learning experience.

We strongly recommend that you obtain the Certified Data Analysis Professional title, as this endorses your skills and knowledge related to this field.

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Resources

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1 The qualitative reports Performance Management in 2012 and Performance Management in 2013;

2 Catalogues:

  • Analysis tools;
  • Planned vs actual performance examples;
  • Types of business intelligence solutions;
  • Analysis using histograms and Pareto charts;
  • Techniques to analyze single variable;
  • Techniques to analyze relationships between variables;
  • Performance Indexes;
  • Scorecards;
  • Dashboards;

3 Fact sheets:

  • Data-Quality;
  • Scorecards definitions;
  • Dashboards definitions;
  • Maturity Model;
  • Insights in Data analysis;
  • Performance Index;

4 Webinars: Data Analysis and Data Visualization;

  • Other resources: Data Analysis and Data Visualization articles published in PERFORMANCE Magazine.

Locations

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Dates City Early Bird Early Bird 2 Deadline
16-18 October Dubai 16 July 16 September 03 October Express interest
02-04 November Kuala Lumpur 02 August 03 October 28 October Express interest

Investment

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Attendance rates for this training course start from $2,400 depending on the location. For 2 or more participants from the same organization, we offer up to 25% discount off the course fee.

Contact

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European Division

Sibiu Office

T: +40 3 6942 6935

M: +40 7 4706 0997

office@kpiinstitute.org

Middle East Division

Dubai Office

T: +971 4 311 6556

M: +971 55 787 6427

office@kpiinstitute.org

SE Asia Division

Kuala Lumpur Office

T: +60 3 2742 1357

M: +60 11 3303 2135

office@kpiinstitute.org

Headquarters

Melbourne Office

T: +61 3 9028 2223

M: +61 4 2456 8088

office@kpiinstitute.org