Managing Big Data

Managing Big Data Effective management of Big Data, building on emerging opportunities 31 March – 3 April 2013 Kempinski Hotel, Mall of the Emirates, Dubai, UAE

Brand new course for 2013 5 Main Course Objectives:

Who Should Attend?

1. Construct a reasonable business case for “Why Data Management”

IT managers, data analysts and architects, business managers, executives, process analysts, business analysts, business architects, enterprise and IT architects

2. Address the different technologies supporting big data management 3. Construct a plan that addresses big data integration 4. Use an assessment tool to address data requirements 5. Identify technologies to use for requirements associated with big data Organised by:

Strategic Career Partner:

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Managing Big Data 31 March – 3 April 2013 • Kempinski Hotel, Mall of the Emirates, Dubai, UAE Course Timings: Registration and coffee will be at 07:30 on Day One. The programme will commence at 08:00 and conclude at 14:30 with lunch.

There will be refreshment breaks at approximately 10:30 and 12:30.

Course Outline

Course Overview Non-numeric data is growing at a much more rapid rate than numeric data. In fact some say the rate of growth is 10 times the rate of numeric data. This explosion of data of all types (video, audio, pictures etc.) strains most data management technology in businesses today. Understanding, organising, integrating and delivering this data is a key issue. Businesses must be clear about the use of such data to avoid storing and managing an excess of data.

Big data carries with it many implications. The data is much more time sensitive than the traditional operational data most organisations maintain. Data may vary in time value from minutes to years especially when considering media or streaming data, data that represents a quick transaction burst, or data that represents complicated real world items such as x-rays, prints, diagrams, photos and sound bites.

Organising and defining an access structure that makes sense to the user is a critical part of increasing the value of the data. Along with governance, the use and successful management of the data is currently stretching many organisations.

This data is being manipulated in different ways than pure quantitative data. Sometimes it provides the context for operational data and other times it points to results that identify market opportunities or highlights risks that were not obvious.

At the end of the course, you will be able to: • Explain the difference between big data and data we manage today • Understand the trend and use of big data • Prepare a big data plan • Define the business value of big data to your organisation • Identify the skills and requirements for a big data effort • Explain the technology available for big data today

Would you like to run this course in-house?

Day One: Strategic Data Management Introduction – The Evolving Data In Business Strategy • Course objectives and structure • A little data history and the new role of data in business • The changing role of data management • The long wave cycle of data management • Data is a foundation for business execution

Exercise – What are your big data uses today?

Data And Big Data Strategy Setting In Business • Business strategic direction and vision • Strategic alternatives and competitors: the Five Forces • Rogue data technology and the implications • Strategy, data, decisions, and direction • Key concepts of big data • Digitised business and implications on decision-making • External data-driven big data business environment

Demonstration – Analysing and using big data Strategic Data Planning Management And Methodology • Using data as a key strategic business resource • Business strategic relationships and operational activities • Data management services in big data development • Driving the strategic data management plan outline • Delivering on big data project initiatives

Exercise – Linking big data strategies to business strategies

Day Two: IT Strategy And Big Data The Fundaments Of Big Data Strategy Focused IT • Big data’s meaning and implications • Scope of big data on the business and impact on IT architecture/ strategy • New sources of data and decision-making model • Managing integration of big data • Types and characteristics of big data on the underlying technologies • Characteristics: volume, currency, accuracy on business decisionmaking

Exercise – One page big data IT strategy The in-house training division of IIR Middle East Tel: +971 4 407 2624 • Email: CTS@iirme.com www.iirme.com/cts

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Big Data And Data Management • Is there a difference with big data versus other types of data?

• Is data and big data an asset?

• Data management governance model

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Exercise – Factors in a change management plan for big data

• Operational data management with big data • Metrics for data management quality: accuracy, content, meaning, volume, trends • Stewardship model for data management • Value chain for data management • Business goal alignment

Technology Transformation • Business/IT performance management • Underlying technology changes for data management • Monitoring on-going operations • Monitoring operations activities • Expectations – external and internal users, business, and IT • The IT briefing book and dashboard for understanding

Case Study – Identifying core metrics for big data Delivering Big Data To The Business • IT value chain with data management chain • Decision-making changes with big data (speed, mobile, cooperative, consistency, etc.)

• Rapid response system required for decision-making • Abilities to analyse, model, and deliver relevant content • Analytical capabilities to digest and support rapid data growth

Exercise – Coping with technology change

Exercise – Defining delivery needs – who needs the data?

Day Three: Building Big Data Knowledge Extracting Knowledge From Big Data • Analyse the current data environment • Identify management needs for insight to a result-based, data-driven approach • Focusing operational management on big data resources • Link decision-making needs to data sources • Identify tooling to provide advanced analytical solutions • Manage changes in technology, delivery, and feedback to improve decision-making process • Assess results

Are You On Course?

• Monitoring data for architecture and new data management solutions • Identifying all new data via metadata system and updating capabilities • Maintaining skills to handle new environment effectively and efficiently • Making the correction and changing the course • Maintaining flexibility • Continuous improvement in business, data, and technology management

Demonstration – An IT briefing book

Meet Your Expert Course Director Frank Kowalkowski is President of Knowledge Consultants Inc., a professional services firm founded in 1984 with practice

Exercise – Identifying big data needs

areas in knowledge management, business intelligence and performance, business

Extending Operational Knowledge • Identify business opportunities for new analytic results • Identify and obtain proper skills for big data analysis • Identify and rank big data project initiatives • Assess technology impact • Build business and IT technology forecast • Institutionalise big data use

and systems architectures, supply chain management, and application design and development. He has over 30 years of management consulting and industry experience in manufacturing, distribution, insurance and financial services.

Frank has been involved with projects that include e-commerce,

Exercise – KPI for big data

application integration, ERP and supply chain management,

Developing A Big Data Plan • A basic methodology for dealing with big data • Linking business and big data architectures • Effective use of the digital analytic environment • Gaps in big data management and current delivery systems • Implementation options (e.g. outsourcing) • Integrating multiple data sources, applications, warehouses, etc.

knowledge management, artificial intelligence, business performance measurement, data warehousing and process improvement.

Previously he was Director of Consulting for the Spectrum Group. Frank was responsible for reengineering consulting, process improvement and operational systems consulting. His

Exercise – Preparing the big data delivery plan

engagements included senior management presentations, audits, assessments, organisational studies, and methodology

Day Four: Organisation Impacts And Transformation Change Management • The drivers of business, data and technology change • What needs to change?

• Methods, techniques and key tasks of change management • Leveraging executives, the people and the processes • Barriers and accelerators for change • Communicate and promote big data capabilities

+971 4 335 2437

+971 4 335 2438

development and implementation. He was also a Manager of Consulting with Kearney Management Consultants with broad-based experience as project manager on productivity improvement projects.

He is the author of Enterprise Analysis, published by Prentice-Hall, and over 70 papers.

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Managing Big Data 31 March – 3 April 2013 • Kempinski Hotel, Mall of the Emirates, Dubai, UAE FIVE WAYS TO REGISTER IIR Holdings Ltd. P.O Box 21743 Dubai, UAE

+971 4 335 2437 +971 4 335 2438 register@iirme.com

www.iirme.com/bigdata

DISCOUNTS AVAILABLE FOR 2 OR MORE PEOPLE CALL – 971-4-3352483 E-MAIL – a.watts@iirme.com WEB BC5077 Event

Course Fee Before 13 January 2013

Course Fee Before 3 February 2013

Final Fee

US$ 3,895

US$ 4,395

US$ 4,695

Managing Big Data 31 March – 3 April 2013

WOULD YOU LIKE TO RUN THIS COURSE INͳHOUSE?

Course fees include documentation, luncheon and refreshments. Delegates who attend all sessions will receive a Certificate of Attendance.

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