DATA WAREHOUSING & BUSINESS INTELLIGENCE 2.0
Day Three - Separately Bookable Workshop
28th October 2010
(Swissotel, Sydney)
(Full-Day Interactive Tutorial)
Architecting for Business Intelligence & Data Warehousing:
Integrating the Structured and Unstructured Data World
Workshop Presenter
Bill Inmon "The Father of Data Warehousing"
BACKGROUND
Analytics have been around from the time the first computer program was written. Once the corporation began to generate data, there were financial analysts, sales analysts, marketing analysts and others anxiously awaiting to use that data in novel and creative ways. In the early days, data from these applications was hard to come by, and the tools the analysts used to access and analyse this data were crude. As time passed and the volume of data grew, so grew the opportunity to use analytics to compete in the business arena.
And over time, the world discovered the data warehouse as the foundation for analytic processing. The data warehouse contained data that was integrated, historical and granular that was gathered from a host of legacy systems. The data warehouse proved to be an ideal foundation for the analysis of data. Data from the warehouse was predicatble and easy to access. And because data in the warehouse was granular, it could be reshaped for many different purposes.
But over time it was recognised that business analysis - analytics - had a very fundamental limitation. That limitation was that analytics operated only on numerical data. While analysis of numerical data was quite useful, in fact, the corporation has massive amounts of unstructured data - from emails, medical records, contracts, warranties, reports, call centres and so forth. In fact, most estimates show that 80% of the data in the corporation is in the form of text, not numbers.
And in that textual data that is owned by the corporation, there is a wealth of information. But there is a problem with unstructured, textual data. The problem of textual data is that is not as neatly organised and accessible as numerical data. Textual data just doesn't lend itself to easy and facile analysis because the software and technology used for business analytics is 100% dedicated to handling well structured numerical data. The very disorder of the textual data defeats (or at least greatly hampers!) any attempt at accessing an analysing textual data in any sort of meaningful manner...until now.
ABOUT THE COURSE
Business decisions have traditionally been made on the basis of structured data. But now it is possible to start to use textual, unstructured data in the data warehouse business intelligence environment. There have been many obstacles to the access and analysis of textual data.
Standard dbms are not fit for holding textual data. Textual data has the issue of terminology that must be overcome. Textual data is much more voluminous than structured data. Email is full of blather, and so forth.But now it is possible to build databases using unstructured textual data. And is doing so, the world of opportunity opens up in ways never before imagined. This interactive seminar is for architects, the end user, developers and anyone interested in getting the full value of their data warehouse by including textual data in the data warehouse.
COURSE ABSTRACTThis seminar is the definitive tutorial guide that will overview how to integrate both structured and unstructured information that permeates throughout every organisation. It will show in a simple straightforward fashion how to tap into these rich sources of unstructured data, from one of the World's Leading Information Management Experts. “In order to architect your organisation to optimise your data warehousing and business intelligence capabilities, you need to capture and organise all your enterprise information.”Bill Inmon will cover all you need to know to make unstructured data work for your organisation. You'll learn how to bring it into your existing structured data environment, leverage existing analytical infrastructure, and implement textual analytic processing technologies to solve new problems and uncover new opportunities. Bill will introduce breakthrough techniques covered in no other seminar, including the powerful role of textual integration, new ways to integrate textual data into data warehouses, and new SQL techniques for reading and analysing text, whether in emails or spreadsheets, WORD documents or Communities of Interest (COI) web data.Bill will also present “real-world case studies that are indispensable” to every organisation trying to make sense of a large body of unstructured text: Program Managers, executives, project leaders, data warehouse managers and staff, architects, consultants, database designers, data modelers, DBAs, researchers, and end users alike will all benefit from this one day comprehensive overview on the subject.
ABOUT THE COURSE PRESENTERBest known as the “Father of Data Warehousing”, Bill Inmon has become the most prolific and well known author worldwide in the data warehousing and business intelligence arena. In addition to authoring more than 50 books and 650 articles, Bill holds 7 software patents, and has been a monthly columnist with the Business Intelligence Network, EIM Institute and Data Management Review. Bill was named by Computerworld as one of the ten most influential people in the first 40 years of the computer profession. He is the creator of the Government Information Factory, a set of information architectures for the federal sector, in addition to having authored the Corporate Information Factory, a collection of ground-breaking methodologies for the corporate world.
Having 35 years of experience in database technology and data warehouse design, he is known globally for his seminars on developing data warehouses and information architectures. Bill has been a keynote speaker in demand for numerous computing associations and industry conferences and trade shows. Bill has developed ETL technologies that allow an organization to move various types of unstructured information into a data warehouse and consolidate it with structured data into a single shared data store. He has provided a methodology that has shown how to accomplish “data integration” across both worlds of structured data (e.g. table-driven and file-driven) and unstructured (e.g. notes, documents, pictures, voice and multimedia and various web-driven data formats).
Bill Inmon has an extensive entrepreneurial background. Prior to co-founding Inmon Data Systems in 2003, he founded and took public Prism Solutions in 1991. In 1995, Bill went on to found Pine Cone Systems, later named Ambeo. Bill Inmon has consulted with Fortune 1000 clients and leading IT executives on Data Warehousing, Business Intelligence, and Database Management. Bill recently announced DW2.0 – the architecture of the next generation of data warehousing. In 1999, Bill created a website to educate professionals and decision makers about data warehousing and the Corporate Information Factory, www.inmoncif.com , which contains much of Mr. Inmon's written work and related material, including methodologies, technical white papers, articles, and data models. In 2003, Bill co-founded Inmon Data Systems, Inc. (www.inmondatasystems.com ) and created the Government Information Factory, an architectural blueprint for building government information systems. This “go-to” portal for government IT systems can be found at www.inmongif.com.
SEMINAR TOPICS COVERED
Differences/Similarities Unstructured & Structured Data Taxonomies / Search Engines & Enterprise Content Management Enterprise Information Portal & Metadata Repositories EIM/Data Architecture of the Future DW 2.0 / Metadata 2.0 Web 2.0 Technologies Business Intelligence Resources DW Communities of Interest Ontologies, Glossaries & Content Visualisation / Self-organising Maps Handling Spreadsheet & Email Capturing Notes & Documents Building Unstructured Databases Linking to Relational Databases Managing Metadata & Data Quality Metadata Service Registry (MDR) Capturing Data Models The Corporate Glossary ETL: Structured vs Unstructured Metadata Sharing & Integration
Organising Data for BI Innovative Data Integration International Data Warehouse Multi-lingual Support for DW Very High Level Volume Data Pattern Recognition Management Reference Table Architecture Fortune 500 CASE STUDIES Management Best Practices Best of Breed Tools & Techniques WHAT YOU WILL LEARN
The Major Components of Data Warehouse 2.0, Metadata 2.0 and Web 2.0 Architecture
Latest technologies linking Structured Databases to the Unstructured Environment
How to Architect Your Enterprise to Optimise Business Intelligence and Data Warehousing
How the Metadata Environment Will be Transformed in the Next Few Years
CASE STUDIES that are Realising the Incredible Potential for Totally New Applications
Why Globalisation is Driving Integration of International Data / Multi-Lingual Requirements
Best Practices for Managing Structured, Semi-Structured and Unstructured Data
FULL-DAY SEMINAR INCLUDES
Coffee, Lunch & Refreshments
Seminar Workbook & Materials
Meet Bill Inmon in Person
Gain Access to the eIQ Archive & Ecosystem
Click here to download the White Paper"Textual Analytics: Business Intelligence from a Textual Foundation"by William H InmonClick here to download the White Paper"Enterprise Content Management & Textual Analytics"by William H Inmon
To reserve your place for this workshop, please contact Enterprise IQ at This e-mail address is being protected from spambots. You need JavaScript enabled to view it
Or call +61 2 9977 7302