Identifying and Capturing Value through Business Intelligence and Data Analytics

Registration Deadline: 16 May 2018

Training Dates: 23, 24, 25, 30, 31 May & 01 June 2018

Training Hours: 23 & 30 May at 08:30 - 12:30 and 24, 25, 31 May & 01 June at 08:30 - 17:00

Location: CIIM Limassol ( View Map )

Language of Instruction: English


Data is considered as the oil of the 21st century and analytics its combustion engine. The rise of the field of Business Intelligence and Data Analytics (described as the 4th industrial revolution), is transforming whole industries such as retail, banking, financial services, professional services security, telecoms, healthcare, shipping, and many others. Data analytics is turning data into insights and insights into actionable intelligence for better business decisions to maintain and enhance competitiveness. It could be characterized as the gradual shift away from the traditional empirical-based reasoning to a formal, scientific, data-driven and fact-based way of thinking and decision-making.

Yet many businesses in Cyprus, are in danger of being left behind, or completely left out of, the bid data analytics revolution while being buried under mounds of data, collected daily from banking transactions, sensors, social networks, internet data, smart phones, mobile & wearable devices. The insights from data analytics have the potential to enhance the decision-making capabilities within an enterprise, improving its competitive advantage, guaranteeing long-term sustainability by maximising the margin of profits and understanding better the existing clientele (customer and marketing analytics).

Even though the benefits of data analytics and business intelligence are well-known there is a great gap between demand and supply for employees with related skillset. As a result, companies and organisations could not apply new data-driven methodologies to enhance their decision-making due to the lack of human resources with this new and demanding skillset. This seminar aims to equip the participants with the required skills in the field of business intelligence and data analytics that would enable them to appreciate the value of data driven decision-making, help them understand which fields are important in the data analytics field, acquire practical hands-on experience within the field of analytics and business intelligence and be in a position to drive a data-driven transformation within their organisation.

Key Outcomes

  • Recognize the value of (big) data and business intelligence, and apply them to reshape business models, operations and decision-making processes
  • Comprehend notions like system integration, data quality, data wrangling, data security, visualisation techniques and how these might affect the results of data analytics in business intelligence
  • Learn several data business analytics techniques that are used in classification, clustering and forecasting. Master how to apply these techniques to address specific business challenges such as customer segmentation, better customers’ engagement, better risk management, cost reductions, processes’ optimisation, supply-chains, competitive advantage and many others.
  • Learn to ask the right questions, to acquire the data you need and lead a data-driven decision-making approach within your organisation
  • Provide participants with an all-around knowledge regarding information security and data protection based on state-of-the-art research
  • Understand how to align an Information Security Management Systems (ISMS) according to the state-of-the-art industrial standards (ISO 27001) in order to be compliant with forth-coming regulations (e.g. GDPR).

Designed for

  • Decision-makers (including executives, top-management level, middle and senior level managers)
  • Chief Information Officers
  • Team leaders and Project Managers in Information Communication Technology (ICT)
  • Entrepreneurial individuals within companies looking to improve data management practices and embrace a data-driven decision-making approach
  • Professionals that would like to get a solid overview of a variety of aspects concerning data security and data analytics

Topics to be covered

  • Data importance and digital economy
  • Introduction to Business Intelligence & Data Analytics
  • Data acquisition, data quality & wrangling considerations
  • Interpreting the output of data analytics
  • Successful Cases Studies from various industries: Retail, Hotel Management, Airlines, Banking, Financial Services, Shipping
  • Communicating Data Analytics Results to top-management
  • Interpreting the results of data analytics with emphasis on the uncertainty
  • The role of data scientist and Chief Data Scientist
  • Building and Organising your Analytics Team
  • Leading an Analytics Transformation & Designing your Analytics Strategy
  • Exploring the (big) data explosion in the “four Vs” - variety, velocity, veracity, and volume
  • Understanding what data are needed for your organization: What you aim to improve (case studies)
  • Understanding the difference between your data and your metrics
  • Descriptive analytics and business applications
  • Prescriptive Analytics and business applications
  • Predictive Analytics and applications
  • A manager’s guide to machine learning and automated algorithms
  • A refresher on statistical significance for business
  • Decision-making with uncertainty: ROC curves, precision, recall, false positives, false negative rates
  • Promoting a data-driven culture within your organisation
  • An overview of industry technologies used in the areas of (big) data analytics
  • Open source, ready-made solutions in analytics
  • Data Visualisation techniques in Data Science: pie-charts, frequency tables, bar-charts, boxplots, histograms, scatterplots, network plots, treemap, streamgraph, heatmaps
  • Applied Data Science with simple tools such as Microsoft Excel (workshop)
  • Applied Data Science with Python: Introduction to Python Programming Language, The Anaconda IDE, Spyder to analyze data (workshop)
  • Cybersecurity in the 21th century: threats landscapes and mitigation techniques
  • Basic cryptographic primitives and secure design: encryption/decryption techniques, hash functions, digital signatures, message authentication codes, Public Key Infrastructure
  • Identification and Authentication techniques: passwords, partial passwords, hardware and software tokens, biometrics
  • Laws, Regulations, Standards and how to achieve compliance
  • ISO 27001 best security practices and ISO 27001/Annex A 114 Security Controls
  • Information Security Risk Management, Security Policies and Governance
  • Communicating security and risk issues to general and executive audiences
  • Information Security Management System (ISMS) Implementation


All CIIM Executive Education programmes are developed and taught by CIIM resident and visiting faculty who are widely recognised as skilled professional trainers with local and international business experience. Through many years of business consulting and teaching experience, CIIM faculty develop innovative long-lasting practical concepts that shape the practice of your daily professional responsibilities. The result is a practical educational experience which is designed to have an immediate effect in your business environment.

Theodosis Mourouzis
Dr. Theodosis Mourouzis


Dr. Theodosis Mourouzis

Dr. Mourouzis has a BA/MA (Honors) in Mathematics: University of Cambridge, UK, a Master of Advanced Study in Mathematics (Number Theory Group): University of Cambridge, UK, a Master of Research (MRes) in Security Science from University College London (UCL) and a PhD in Information Security and Cryptography from University College London (UCL). His PhD was fully funded by the UCL SECReT program and EPSRC.

His research interests lie in the area of cryptanalysis of both symmetric and asymmetric cryptosystems, information security, optimization techniques in cryptanalysis and applications of data analytics techniques in fraud prevention.

Dr. Mourouzis has experience in both academia and industry. He has taught courses at postgraduate level at University College London (UCL) related to security science. He has worked as a Cryptologist in a project funded by Technology Strategy Board (TSB) and as a Security SME at the Digital Security and Fraud of Lloyds Banking Group in London, UK. In addition, he has worked as a data-analyst and consultant for various London-based start-ups, offering consulting services on data analytics and information security aspects.

Dr. Mourouzis has received the UK University Cipher Champion award of 2013.

Programme Fee

The programme has been approved by the HRDA (ΑνΑΔ). Organisations registered in Cyprus, who satisfy the HRDA criteria, are entitled to apply for the subsidy and therefore their emolument will be the net fee, as described below:

Gross Fee (before subsidy): €1,195

HRDA Subsidy: €595*

Net Fee (after subsidy): €600*

No VAT is charged due to CIIM’s non-profit status. Fees include tuition, educational materials, lunch, coffee-breaks and refreshments.


To proceed with your registration, please click the button below to apply online. Participation is subject to availability.

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