IMI Diploma in Data Business... Leading to an MSc in Data Business

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1 IMI Diploma in Data Business... Leading to an MSc in Data Business PROGRAMME OVERVIEW

2 Context & Rationale for the Programme Suite Companies that use advanced data analytics effectively experience financial performance with profit margins in the range of 19 73% higher than companies that don t effectively use advanced analytics (Deloitte, 2007) This suite of Data Business Programmes has been developed in ongoing partnership with - ÂÂThrough increased data availability and information processing capability companies are expected to be transformed into an Intelligent Enterprise, which will enable them to become more agile, flexible, lean and efficient. ÂÂYet, executives are only beginning to grasp the realities of how this transformation can take place. A recent study of 3000¹ executives found that top performing organisations were twice as likely to use analytics, but it was also found that two of the top three impediments to becoming more data driven included: (i) a lack of understanding of how to use analytics to improve the business and (ii) the lack of skills internally in the line of business. The MSc in Data Business aims to help organizations overcome these hurdles. ÂÂFurthermore, recent Forrester reports in the area of business intelligence have shown very high demand for applications and skills, leading to increased career opportunities for professionals in the domain. 1 LaValle et al. (2011), Big Data Analytics and the Path From Insights to Value 2

3 The new Diploma and MSc in Data Business will play a critical role in educating the next generation of business leaders. The use of data analytics in everyday business activities is expanding dramatically and shaping the global business environment. It is imperative that we ensure business leaders have the necessary skills to take advantage of this new IT revolution and enable the creation of high-quality job opportunities. As a global leader in Big Data and data analytics, EMC is pleased to partner with UCC and IMI in supporting and assisting on this programme which will ensure Ireland positions itself to take advantage of new high-tech trends in global IT. Donagh Buckley Chief Technology Officer and Director of EMC Research Europe Headline Facts ÂÂLevel 9 programme ÂÂAccredited by UCC ÂÂTailored content ÂÂLeverages IMI Executive Education approach ÂÂTwo Pathways leading to either Master of Business (MBS in Management Practice) or MSc in Data Business, with exits. Who is this Programme Suite for? ÂÂThis Executive Education programme is appropriate for professionals requiring expertise in business intelligence and data business. ÂÂThe programme is designed for professionals who have a role in transforming the existing information supply chain of their business or being a change agent in developing a new data business. ÂÂProfessionals who have technical experience and want to develop a more business/holistic view of data strategy and non-technical professionals who need to have a strategic understanding to manage data and collaborate with the data analysts. 3

4 This Diploma will be characterised by a unique classroom dynamic that will bring together both technical and non-technical managers to jointly analyse Data Business strategies and map out new ways of doing business. Dr Phil Nolan IMI Executive Chairman Typical Roles & Business Functions ÂÂRoles in business functions that are data intensive such as logistics, manufacturing, marketing, social media, payments, customer service, project managers, application designers/developers, and business personnel who have a role in the information supply chain of their business. ÂÂData rich industries such as financial services, healthcare management and the ICT sector are ideally suited to the programme. Programme Suite - Outcomes: The programme will help you to: ÂÂSuccessfully harness the explosive growth of data that is available to a new data enabled business. ÂÂBuild a data business strategy and roadmap to propel your business s future strength and security. ÂÂSupport an existing data business or help develop a new data enabled business. Programme Suite - Themes: ÂÂData business analysis. ÂÂBusiness modelling, agility and innovation management. ÂÂEnterprise data management. 4

5 MSc in Data Business (30 Credits - Part 1) IMI Diploma in Data Business ² Data Business Analysis Business Modelling and Innovation Management Enterprise Data Management To equip participants with an understanding of fundamental techniques in quantitative and statistical analysis and their application to practical business situations. To provide participants with techniques to drive and evaluate innovation initiatives within an organisation. To enable participants to understand the role of data management and governance practices, and business intelligence tools in organisational decision making. MSc in Data Business (30 Credits - Part 2) Advanced Data Business Analysis Business Agility Advanced Enterprise Data Management To introduce the research technique of econometrics. The overriding emphasis is on developing the skills needed to apply econometric techniques, understanding the issues that arise and taking appropriate action. To provide participants with an understanding of how to leverage data/information to enable organisations respond to rapidly changing business needs/environments in a reliable manner. To provide participants with a grounding in big data analytics technology and tools. MSc in Data Business (30 Credits - Part 3) Data Business Project To provide participants with the opportunity to apply their theoretical knowledge to a substantial data business problem requiring analytical and/or design and/or experimental effort. 2 Participants may exit after successful completion of part 1 and will be awarded an IMI Diploma/UCC Postgraduate Certificate in Data Business 5

6 Participant Outcomes MSc in Data Business / IMI Diploma in Data Business (30 Credits - Part 1) Throughout Part 1 of the course, participants are given insight into the primary foundational topics in Data Analysis, Data Management, and Innovation, which aims to enable participants to: ÂÂIdentify how to make a business more innovative by analysing key datasets within a business. ÂÂIdentify and critique the technologies that provide a foundation for data analysis within an organisation. ÂÂGain organisational insight by analysing datasets using foundational mathematical techniques. ÂÂManage the practicalities of data management and designing a data governance programme within a business. ÂÂ Develop an enterprise data strategy for a business. MSc in Data Business (30 Credits - Part 2) Throughout Part 2 of the course participants explore advanced techniques and topics in the domain of Data Analysis, Data Management and Organisational Agility, which enables participants to: ÂÂIdentify how to make their business more agile and reliable by analysing key datasets within their business. ÂÂUse advanced mathematical techniques on key datasets to gain organisational insight. ÂÂDevelop an advanced enterprise data strategy and demonstrate an ability to integrate knowledge and to analyse, assess and deal with complex phenomena, issues and situations. ÂÂ Evaluate the use and implementation of new data management and analysis technologies (e.g. Big Data) ÂÂDemonstrate an ability to work individually as well as in groups with participants from different organisational cultures in order to solve data business problems in an agile fashion as well as manage data business innovative projects. 6

7 IMI Masters of Business IMI Diploma Programmes ÂÂManagement ÂÂStrategy and Innovation ÂÂLeadership ÂÂStrategic HR Management ÂÂBusiness Finance ÂÂRegulatory Management ÂÂExecutive Coaching ÂÂCloud Strategy ÂÂMarketing Strategy with Digital Marketing ÂÂOrganisational Behaviour ÂÂData Business Complete any 2 IMI Diplomas = + Master of Business Business Research Project MSc in Data Business Data Business Project (30 Credits - Part 3) In Part 3 of the course, participants undertake a Data Business Research Project in which they apply the skills they have learned in the course. The project enables participants to: ÂÂAnalyse, develop and evaluate important perspectives, theories, models, frameworks for the design and use of data business solutions. Part 1 Dates - Cork Register in January and February 2013 Starts April 2013: Classes are scheduled 3 days a month for 6 months 18 days duration Scheduled Dates: Â Â 9 th, 10 th, 11 th April 2013 Â Â 7 th, 8 th, 9 th May 2013 Â Â 11 th, 12 th, 13 th June 2013 Â Â 10 th, 11 th, 12 th September 2013 Â Â 8 th, 9 th, 10 th October 2013 Â Â 5 th, 6 th, 7 th November 2013 Part 1 Dates - Dublin ÂÂ9 th, 10 th, 11 th October 2013 ÂÂ6 th, 7 th, 8 th November 2013 ÂÂ4 th, 5 th, 6 th December 2013 ÂÂ8 th, 9 th, 10 th January 2014 ÂÂ5 th, 6 th, 7 th February 2014 ÂÂ5 th, 6 th, 7 th March Pathways Option 1 ÂÂComplete MSc in Data Business (Part 1) ÂÂComplete MSc in Data Business (Part 2) ÂÂComplete MSc in Data Business (Part 3) Award = MSc in Data Business Option 2 ÂÂComplete MSc in Data Business (Part 1) ÂÂComplete any other IMI Diploma (see above) ÂÂComplete Business Research Project Award = Master of Business (MBS in Management Practice) Pricing Pricing 2013 Non IMI Members Part 1 ( IMI Diploma in Data Business ) 2013 IMI Members Part 2 ( MSc in Data Business) Part 3 ( MSc in Data Business) ,390 22,870 Membership fees and details of consortium discounts for 3 or more participants are available from siobhan.mcaleer@imi.ie 7

8 Big Data and its exploitation using data analytics are no longer concepts, they are now a key part of the strategic make up of leading companies looking to find a competitive edge. SAS believe the Masters in Data Business programme is important for business leaders of today and the future, who are looking to get the most from data by building new business models and strategies to leverage data and the analysis of it. Geoffrey Taylor Academic Program Manager, SAS UK and Ireland Entry Requirements A candidate s suitability for the programme will be determined by a combination of their academic qualifications and/or relevant professional experience. A primary degree from a recognised third level institution (NFQ level 8) will typically be required with at least 3 years relevant industry experience, however prior workplace learning will be recognised where applicants do not meet the academic requirement. A minimum of at least 5 years relevant experience at an appropriate managerial level is the requirement where the degree is not in the appropriate area (Information Systems/Information Technology) or if the candidate does not hold a primary degree (level 8, honours). This experience may come from a general business or organisational background, involving information technology or experience in data management. Candidates will be expected to have shown managerial or supervisory skills in managing organisational resources. Each proposed candidate will be considered on a caseby-case basis by the Programme Directors, who will interview applicants in person or by phone. If you are unsure of your proficiency in data analysis, an online tutorial can be completed prior to the programme. This is self assessed and will have 2 aims (1) give you confidence in your existing knowledge (2) add to your knowledge base. Some of the content will be developed further on the programme. Consortia Participation Eligibility Any company who is data rich and needs to deepen their Strategic Data Management capabilities. Individual participants must satisfy the individual entry requirements for the award. The company must have a minimum of 3 participants. Benefits ÂÂVolume Based Discount ÂÂTailored content based on member needs ÂÂThe company will create a learning partnership with the IMI/UCC to help inform the company s data strategy, as 3 or more participants build capability in the business. Â Â Closed coursework sessions and feedback. This allows the participants to work on very timely and relevant company issues while retaining confidentiality and getting feedback in company. 8

9 Biographies Professor Tom Davenport Tom Davenport is a renowned thought-leader and is recognised as one of the top 25 consultants in the world, the third most influential business and technology analyst in the world, the highest-ranking business academic and one of the 100 most influential people in the IT industry. Tom combines his interests in business, research, and academia as the President s Distinguished Professor in Management and Information Technology at Babson College and as a Visiting Professor at the Harvard Business School for the academic year. He s also co-founder and research director of the International Institute for Analytics, and a Senior Advisor to Deloitte Analytics.Tom is the author of hundreds of articles, columns and blogs and has written or co-authored 14 books, including several firsts in the areas of big data and analytics, business process reengineering, knowledge management, and the business use of enterprise systems. He is quoted frequently in media such as The Wall Street Journal and The New York Times. His concept of big data and analytics as a competitive differentiator, initially introduced in a Harvard Business Review article (2006), Competing on Analytics, has been recognised by HBR editors as one the most important management ideas of the past decade and remains one of HBR s 10 must-read articles in that magazine s 90-year history. His book Competing on Analytics: The New Science of Winning is cited by CIO Magazine as one of the all-time top 15 most groundbreaking management books, his work in this area is credited with spawning a new breed of organisation. Dr. Ken Collier Ken is known as the agilist and is one of the first to start combining agile methods with data warehousing, business intelligence, and analytics. Ken has successfully adapted agile techniques to data warehousing and business intelligence to create the Agile Analytics style. Ken has trained many data warehousing and business intelligence teams in Agile Analytics, giving him the opportunity to exercise this approach with various technologies, team dynamics, and industry domains. Ken is the Agile Analytics Practice Lead for ThoughtWorks, where he is focused on advanced analytics using cool new technologies. He is formerly the Data Insight and Social BI Practice Director for the Cutter Consortium as well as a Senior Consultant in the Agile Development practice. Ken has had the privilege of working as a software engineer for a large semiconductor company. He has spent several years as a tenured professor of computer science engineering. He has directed the data warehousing and business intelligence solutions group for a major consulting firm. Bill Inmon Bill Inmon is best known as the father of data warehousing and named, by Computerworld in 2007, as one of the 10 IT people who mattered in the last 40 years of the computer profession. Bill has become the most prolific and well-known author worldwide in the data warehousing and business intelligence arena, having 35 years of experience in database technology and data warehouse design. In addition to authoring more than 50 books and 650 articles, he is known globally for his seminars on developing data warehouses and information architectures. Bill also has an extensive entrepreneurial background, having founded 4 companies throughout his career. Bill is renowned for developing the Corporate Information Factory and the Government Information Factory methodologies and blueprints. In more recent years, Bill has developed Textual ETL technologies that allow an organisation to move various types of unstructured information into a data warehouse and consolidate it with structured data into a single shared data store. Also, Bill recently announced Inmon s DW2.0 the architecture of the next generation of data warehousing. His latest book on the subject is DW 2.0: Architecture for the Next Generation of Data Warehousing. 9

10 David Loshin David is president of Knowledge Integrity and is a recognised thought leader and expert consultant in the areas of master data management, data quality and data governance, amongst others. David is a prolific author and presenter regarding BI best practices for TDWI (the data warehousing institute) and the BeyeNETWORK. His book, Business Intelligence: The Savvy Manager s Guide has been hailed a must read resource allowing readers appreciate how all of the BI pieces work together. His best-selling book, Master Data Management, has also been endorsed by data management industry leaders. Donagh Buckley Donagh heads up EMC s research initiatives in Europe and is responsible for leading EMC s research programs throughout Europe. In addition, Donagh manages EMC s comprehensive network of research relationships with its academic and Industry partners. Donagh is based at the EMC Centre of Excellence in Ireland where EMC have over 2,000 staff spread across nearly 30 different functional areas. His background includes nearly 20 years of multi-site, multi-cultural experience in research, software engineering and IT service delivery. Donagh has deep expertise in software development, practice management, IT management, project management and systems integration. Alan Gormley Alan Gormley is the Director of Customer Intelligence Solutions for SAS EMEA (Europe, Middle East and Asia) and works with organisations across Europe, helping them define and refine their strategy for applying customer intelligence. Allan Russell Allan Russell, Senior Vice President of Strategy at SAS is a SAS Fellow, researching and reporting on emerging trends in the software industry. Allan s research currently focuses on the uses of business analytics and business intelligence in a processcentric world and examines areas such as business process management, business activity monitoring, SAS workflow tools and integration between SAS and process platforms. Allan also is head of SAS EMEA/AP Centre of Excellence for Risk Management, which provides risk management solutions to customers in banking, insurance and other industries, and which focuses on diverse needs ranging from regulatory systems such as Solvency 2 and Basel 3 through to Management Systems such as Risk Adjusted Performance Management and GRC (Governance, Risk and Compliance). He is one of the principal authors of Information Revolution: Using the Information Evolution Model to Grow your Business, published in The book describes how organisations mature in their uses of information and presents a model that enables organisations to evaluate their use of information objectively, providing a framework to manage and use data as a corporate asset and compete in today s global arena. Dr. Thomas Redman Dr. Thomas Redman is known as the data doc and he is renowned for working with people from all over the world in numerous industries to address the tough problems of data quality in long-term ways to make their companies stronger. As an advisor, Tom has helped dozens of companies understand their options for addressing data quality, define programmes that get to the roots of the issues, and save themselves millions of dollars. As an innovator, Tom was the first to understand the fundamental importance of data, extend principles of quality to data, understand fundamental properties of data in organisations, and give meaning to the phrase manage data assets. Today Tom s focus is on better organisations for data. Tom s 2008 book titled: Data Driven: Profiting from Your Most Important Business Asset was the first completely business oriented book on data. In 2011 Tom received the first IAIDQ 10

11 Distinguished Member Award and the MIT Award for Outstanding Contributions to Information Quality. Tom also holds 2 patents. Dr. David Sammon BA, HDip, MSc, PhD Joint Programme Director David is a lecturer in the Department of Accounting, Finance and Information Systems (UCC). David s current research interests focus on the areas of conceptual data modelling, data/information management, theory and theory-building, and redesigning organisational routines through mindfulness. David has published extensively in international journals and conferences. He is an Associate Editor of the Journal of Decision Systems and co-author of the book: Enterprise Resource Planning Era: Lessons Learned and Issues for the Future (2004). Dr. Tadhg Nagle BSc, MSc, PhD Joint Programme Director Tadhg is a lecturer in the Department of Accounting, Finance and Information Systems (UCC). With a background in Financial Services Tadhg became a Business Analyst Lab Leader in the Digital Enterprise Research Institute, from which he holds a PhD. Focusing on emerging technologies, strategic innovation and disruptive technologies he has published a number of papers in leading international Information Systems conferences and journals. His current focus is on the implementation of Cloud and Big Data technologies with a view to creating real business value. Operational Research, Journal of Database Management, Journal of Information Technology and People, the European Conference on Information Systems (ECIS), and working conferences of the International Federation for Information Processing (IFIP). Paidi O Reilly BA, PhD Paidi is Research & Innovation Director with TexunaTech, a UK headquartered data management solutions provider specialising in strategic data intelligence. His background is in innovation management and his work has primarily focused on assisting management teams with mapping, appraising, and reformulating the innovation strategies for their organisations. In addition, Paidi is a part-time lecturer in the Department of Accounting, Finance and Information Systems in University College Cork (UCC) where he delivers course modules relating to innovation, technology investment, and benefits realisation. He has over 15 years experience working as a consultant and trainer, assisting many public and blue-chip organisations in the UK and Ireland. Paidi has published his research work in leading academic and practitioner outlets. He also sits on the Innovation Management Standards Consultative Committee of the National Standards Authority of Ireland (NSAI) - a committee charged with monitoring national and international developments relating to innovation management and to advise the NSAI and its European counterparts in relation to standard developments in this area. Jeremy Hayes BA, HDip, MSc Jeremy Hayes is a lecturer and researcher in the Department of Accounting, Finance and Information Systems (UCC). His research interests are in the area of Business Models for ebusiness, Cloud, Open Innovation, and for the Smart Grid. His research has been published in leading international journals and conferences, including Information Systems Research, the Journal of Strategic Information Systems, the European Journal of 11

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