BIReady Australia BIReady Pty Ltd 143 Aiken Road, West Pennant Hills NSW 2125 Australia Email info@biready.com.au  Telephone +61 (0)2 8880 5111 www.biready.com.au ABN : 57 167 132 112

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Data Warehouse Automation tools from BIReady Australia. Data Warehouse Automation tools from BIReady Australia.
At BIReady Australia, we provide our customers with best-of-breed Information Management solutions. As such, our solutions and services offer advanced expertise in Data Warehouse Automation, Data Quality, Textual Analysis and Business Intelligence. Our experience extends across Healthcare, Finance and Retail.

Dr. Barry Devlin

Building the Data-Driven Business

Architecture and Tools for Smart Operations,

Analytics and Information

Sydney 24-25 August 2016

Redesigning your IT Environment for the

Business of the Future

Best practice used to be a well-integrated data warehouse serving the business intelligence needs of selected decision makers. Today, BI and DW are only table stakes for survival. From data lakes to predictive analytics, algorithms to cognitive computing, social media to the Internet of Things, the technology underlying business is changing rapidly. Business, too, is transforming dramatically. The trends are interrelated. And the implications for IT span the entire environment and organisation... Tomorrow’s business demands a new IT architecture that reintegrates all decision making and action taking across all its processes. This architecture incorporates all the technological advances in databases, NoSQL stores, data integration and delivery, as well as the old challenges of spreadsheets, SOA, metadata, distributed access, collaboration, etc. It provides a comprehensive structure for the full enterprise IT integration needed by modern businesses. And it directly addresses current issues, such as operational BI, strategic decision making, information discovery and enterprise-wide decision management. This new approach has evolved from current technologies and systems to facilitate easier adoption. Learn how your IT environment and organisation can succeed and become a real partner with business in driving change and managing the introduction of fully integrated, real-time processes, closely linking information and activities from all areas of the enterprise. As decision making and action taking become ever more tightly bound, you need a new business vision and modern architecture to reap the very real business benefits promised by new technologies. Business and IT must work closely together in a tightly- integrated approach that Devlin calls the “biz-tech ecosystem”. Main Topics A New Architecture—Business Drivers and Technological Evolution Data and Information—the Foundation for Everything Formal and Informal Business Processes—Getting from Information to Action People—Action-Oriented Decision Making and Engaging Innovation Planning and Implementation Emerging Ethical and Economic Considerations. What you will learn Business  drivers and technical rationale for a new architectural approach The possibilities and challenges of new database and data management technologies, including Hadoop, NoSQL, column stores and other analytic appliances Using ETL, data warehouse automation (DWA) and data virtualization tools for integration of all types of content and data Positioning and using Web social media and collaboration tools in support of decision-making The importance of user context and roles in decision processes Structure and components of the new architecture Practical steps to grow and improve your current data warehouse to the new architecture. Who should attend CIOs, IT leaders and managers Enterprise, systems, solutions and data warehouse architects Systems, strategy and business intelligence managers Data warehouse and systems designers and developers Data and database administrators Tech-savvy business analysts.

Biographical information

Dr. Barry Devlin, Founder and Principal, 9sight Consulting Dr. Barry Devlin is a founder of the data warehousing industry, defining its first architecture in 1985. A foremost authority on business intelligence (BI), big data and beyond, he is respected worldwide as a visionary and thought- leader in the evolving industry. Barry has authored two ground-breaking books: the classic “Data Warehouse--from Architecture to Implementation” and “Business unIntelligence--Insight and Innovation Beyond Analytics and Big Data” in 2013 Barry has over 30 years of experience in the IT industry, previously with IBM, as a consultant, manager and distinguished engineer. As founder and principal of 9sight Consulting in 2008, Barry provides strategic consulting and thought-leadership to buyers and vendors of BI and Big Data solutions. He is an associate editor of TDWI's Journal of Business Intelligence, and a regular keynote speaker, teacher and writer on all aspects of information creation and use. Barry operates worldwide from Cape Town, South Africa.

Outline

1. The why and how of a new architecture Historical overview and timeline of data warehousing, BI, analytics, and cognitive decision making Old assumptions about how business and technology interact and how that must change The emergence and impact of the Internet of Things New, future-proof hypotheses for the biz-tech ecosystem Business examples, drivers and justification The Simple Business Model A new IDEAL conceptual architecture—three “thinking spaces” between business and IT: Information, process and People The REAL logical architecture—IT’s foundation for implementation 2. The Information Resource—the Foundation for Everything New classes of information—human-sourced and machine-generated—and how they enter the traditional process-mediated data stores of the business Formal and informal information—gathering the wisdom of meetings and more Big data—hype and reality, sources and types, implications for business and IT Fast data—integrating data from the Internet of Things Timeliness—from in-flight data to historical information, the life cycle of information Structure—much more than structured vs. unstructured, a continuum of data types The pillars of a new architecture that supports multiple storage technologies Metadata as information—sources and stores, tools and techniques Reliability—enabling innovation, and the need for certified and uncertified information Relational database  evolution—column, row and hybrid stores, in-memory databases, analytic appliances Uses, pros and cons of NoSQL databases, Hadoop and Hadoop-based databases, XML, JSON-based and other semi-structured data stores Loosely structured information and content stores Bridging the operational-informational boundary—the promise and reality of in-memory databases Positioning Master Data Management (MDM), Operational Data Store (ODS), etc. 3. The Business Processes—Getting from Decisions to Actions The dimensions of process: Business Effect, Active Scope and Time Span How pervasive Mobile connectivity, processing and storage combine with the Cloud to reinvent business processes The new role of users in “application development”—mashups are only the beginning Service Oriented Architecture, Business Process Management, Enterprise Service Bus and Enterprise Application Integration Understanding adaptive, closed-loop business processes A model for decision making and action taking—the adaptive decision loop Data Integration, ETL and ELT, data warehouse automation (DWA), and the growing role of the DBMS in data integration Federation, Data Virtualisation, Enterprise Information Integration. 4. The People—Understanding Needs and Engaging Innovation The axes of people: Motivation, Attitude and Role Where Business Intelligence misses the mark—for users and business Understanding motivation and the workings of the human mind in business systems Business Activity Monitoring, Scorecards and Dashboards, Enterprise Portals Query, reporting and other decision support tools Business, process and application modelling Decision-making and action-taking in a closed-loop, real-time environment Automating user knowledge and activities Business, Predictive and Operational Analytics and how they differ from BI The central role of collaboration and informal information in innovation Information modelling considerations in a rapidly changing environment Loosely structured content – tagging, ontologies and taxonomies. 5. Planning and implementation Evolution—not revolution—to a new logical architecture to replace the 1980’s layered data warehouse model The Staged Implementation Roadmap Organisational considerations; changes in IT culture and responsibilities Tackling the “spreadmart” problem From query and reporting to enabling deep analytics Executive decision support and how it must evolve Dealing with emerging Ethical and Economic Considerations
Building the Data-Driven Business Architecture and Tools for Smart Operations, Analytics  and Information with Dr. Barry Devlin. When Wednesday 24th August to Thursday 25th August 2016. Where Saxons/BCA National, Level 1, 65 York Street, Sydney 2000 Cost $1,499 inc GST.
Attendees will receive a complementary copy of Dr. Devlin’s book, ‘Business unIntelligence’. Alternatively, you can buy a copy here.
Call us now! 02 8880 5111
BIReady is a partner of Attunity - a vendor of data warehouse automation software BIReady is a QFire data quality partner. BIReady is a partner of Ajilius Data Warehouse Automation BIReady is a Yellowfin BI Partner

Redesigning your IT

Environment for the Business of

the Future

Best practice used to be a well-integrated data warehouse serving the business intelligence needs of selected decision makers. Today, BI and DW are only table stakes for survival. From data lakes to predictive analytics, algorithms to cognitive computing, social media to the Internet of Things, the technology underlying business is changing rapidly. Business, too, is transforming dramatically. The trends are interrelated. And the implications for IT span the entire environment and organisation... Tomorrow’s business demands a new IT architecture that reintegrates all decision making and action taking across all its processes. This architecture incorporates all the technological advances in databases, NoSQL stores, data integration and delivery, as well as the old challenges of spreadsheets, SOA, metadata, distributed access, collaboration, etc. It provides a comprehensive structure for the full enterprise IT integration needed by modern businesses. And it directly addresses current issues, such as operational BI, strategic decision making, information discovery and enterprise-wide decision management. This new approach has evolved from current technologies and systems to facilitate easier adoption. Learn how your IT environment and organisation can succeed and become a real partner with business in driving change and managing the introduction of fully integrated, real-time processes, closely linking information and activities from all areas of the enterprise. As decision making and action taking become ever more tightly bound, you need a new business vision and modern architecture to reap the very real business benefits promised by new technologies. Business and IT must work closely together in a tightly-integrated approach that Devlin calls the “biz-tech ecosystem”. Main Topics A New Architecture—Business Drivers and Technological Evolution Data and Information—the Foundation for Everything Formal and Informal Business Processes—Getting from Information to Action People—Action-Oriented Decision Making and Engaging Innovation Planning and Implementation Emerging Ethical and Economic Considerations. What you will learn Business  drivers and technical rationale for a new architectural approach The possibilities and challenges of new database and data management technologies, including Hadoop, NoSQL, column stores and other analytic appliances Using ETL, data warehouse automation (DWA) and data virtualization tools for integration of all types of content and data Positioning and using Web social media and collaboration tools in support of decision-making The importance of user context and roles in decision processes Structure and components of the new architecture Practical steps to grow and improve your current data warehouse to the new architecture. Who should attend CIOs, IT leaders and managers Enterprise, systems, solutions and data warehouse architects Systems, strategy and business intelligence managers Data warehouse and systems designers and developers Data and database administrators Tech-savvy business analysts.

Biographical information

Dr. Barry Devlin, Founder and Principal, 9sight Consulting Dr. Barry Devlin is a founder of the data warehousing industry, defining its first architecture in 1985. A foremost authority on business intelligence (BI), big data and beyond, he is respected worldwide as a visionary and thought-leader in the evolving industry. Barry has authored two ground- breaking books: the classic “Data Warehouse--from Architecture to Implementation” and “Business unIntelligence--Insight and Innovation Beyond Analytics and Big Data” in 2013 Barry has over 30 years of experience in the IT industry, previously with IBM, as a consultant, manager and distinguished engineer. As founder and principal of 9sight Consulting in 2008, Barry provides strategic consulting and thought-leadership to buyers and vendors of BI and Big Data solutions. He is an associate editor of TDWI's Journal of Business Intelligence, and a regular keynote speaker, teacher and writer on all aspects of information creation and use. Barry operates worldwide from Cape Town, South Africa.

Outline

1. The why and how of a new architecture Historical overview and timeline of data warehousing, BI, analytics, and cognitive decision making Old assumptions about how business and technology interact and how that must change The emergence and impact of the Internet of Things New, future-proof hypotheses for the biz-tech ecosystem Business examples, drivers and justification The Simple Business Model A new IDEAL conceptual architecture—three “thinking spaces” between business and IT: Information, process and People The REAL logical architecture—IT’s foundation for implementation 2. The Information Resource—the Foundation for Everything New classes of information—human-sourced and machine- generated—and how they enter the traditional process-mediated data stores of the business Formal and informal information—gathering the wisdom of meetings and more Big data—hype and reality, sources and types, implications for business and IT Fast data—integrating data from the Internet of Things Timeliness—from in-flight data to historical information, the life cycle of information Structure—much more than structured vs. unstructured, a continuum of data types The pillars of a new architecture that supports multiple storage technologies Metadata as information—sources and stores, tools and techniques Reliability—enabling innovation, and the need for certified and uncertified information Relational database  evolution—column, row and hybrid stores, in-memory databases, analytic appliances Uses, pros and cons of NoSQL databases, Hadoop and Hadoop- based databases, XML, JSON-based and other semi-structured data stores Loosely structured information and content stores Bridging the operational-informational boundary—the promise and reality of in-memory databases Positioning Master Data Management (MDM), Operational Data Store (ODS), etc. 3. The Business Processes—Getting from Decisions to Actions The dimensions of process: Business Effect, Active Scope and Time Span How pervasive Mobile connectivity, processing and storage combine with the Cloud to reinvent business processes The new role of users in “application development”—mashups are only the beginning Service Oriented Architecture, Business Process Management, Enterprise Service Bus and Enterprise Application Integration Understanding adaptive, closed-loop business processes A model for decision making and action taking—the adaptive decision loop Data Integration, ETL and ELT, data warehouse automation (DWA), and the growing role of the DBMS in data integration Federation, Data Virtualisation, Enterprise Information Integration. 4. The People—Understanding Needs and Engaging Innovation The axes of people: Motivation, Attitude and Role Where Business Intelligence misses the mark—for users and business Understanding motivation and the workings of the human mind in business systems Business Activity Monitoring, Scorecards and Dashboards, Enterprise Portals Query, reporting and other decision support tools Business, process and application modelling Decision-making and action-taking in a closed-loop, real-time environment Automating user knowledge and activities Business, Predictive and Operational Analytics and how they differ from BI The central role of collaboration and informal information in innovation Information modelling considerations in a rapidly changing environment Loosely structured content – tagging, ontologies and taxonomies. 5. Planning and implementation Evolution—not revolution—to a new logical architecture to replace the 1980’s layered data warehouse model The Staged Implementation Roadmap Organisational considerations; changes in IT culture and responsibilities Tackling the “spreadmart” problem From query and reporting to enabling deep analytics Executive decision support and how it must evolve Dealing with emerging Ethical and Economic Considerations
BIReady Australia BIReady Pty Ltd 143 Aiken Road, West Pennant Hills NSW 2125 Australia Email info@biready.com.au  Telephone +61 (0)2 8880 5111 www.biready.com.au ABN : 57 167 132 112

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Building the Data-Driven Business Architecture and Tools for Smart Operations, Analytics and Information with Dr. Barry Devlin. When Wednesday 24th August to Thursday 25th August 2016. Where Saxons/BCA National, Level 1, 65 York Street, Sydney 2000 Cost $1,499 inc GST.
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Attendees will receive a complementary copy of Dr. Devlin’s book, ‘Business unIntelligence’. Alternatively, you can buy a copy here.
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