Presentation on theme: "Million Minds, Inc. Introduction to Million Minds, Inc. and Business Intelligence."— Presentation transcript:
Million Minds, Inc. Introduction to Million Minds, Inc. and Business Intelligence
Copyrighted. Million Minds, Inc. 2005.2 About Million Minds, Inc. Our Services What We Offer Section A
Copyrighted. Million Minds, Inc. 2005.3 Oracle Partner We are an Oracle Partner. We specialize in Oracle Products. Our Expertise… oBusiness Intelligence using Oracle Business Intelligence Discoverer. Oracle Business Intelligence Discoverer. Oracle Application Server Portal. Oracle Application Server Portal. Oracle Applications. oERP using Oracle Applications. Oracle Warehouse Builder. oData Warehousing using Oracle Warehouse Builder. Our consulting is very Economical and Cost Efficient. We are backed by about Two Decades of Experience. We possess State-Of-The-Art Infrastructure. About Million Minds
Copyrighted. Million Minds, Inc. 2005.4 What we can do & What we offer you ? Our Infrastructure and Facilities o We are equipped with Excellent Training Staff. o We possess State-Of-The-Art Hardware Facility. o Our Software is Latest and Up to Date. o We are backed by over 17 Years of Field Experience. What we offer you o We provide Solid Training and Placement at an Excellent client location. o We reward you with a Good Remuneration based on performance. o We process Visas and Green Cards. o We take care of your Health Insurance.
Copyrighted. Million Minds, Inc. 2005.5 What you will be trained in ? Oracle Business Intelligence Discoverer Discoverer Plus Discoverer Viewer Discoverer Administrator Discoverer Desktop Oracle Application Server Portal
Copyrighted. Million Minds, Inc. 2005.6 Our Clients Our Client Base
Copyrighted. Million Minds, Inc. 2005.7 The concept of Database and Database Management System Section B
Copyrighted. Million Minds, Inc. 2005.8 The Concept of Database Simply, a database is a computerized record keeping system. More completely, it is a system involving o Data o The hardware that physically stores that data o The software that utilizes the hardware's file system in order to Store the data and Provide a standardized method for retrieving or changing the data. o The users who turn the data into information.
Copyrighted. Million Minds, Inc. 2005.9 How is a Database made use of? Fig:1 Defines a structure for storing information which typically get organized into tables. Rows and Columns constitute a table. Virtually anything can be stored in a Database. A Business Logic can be used to Pick, Store and Retrieve Data using Database. Most useful when Common Data needs to be shared between various Cross Platform Applications. Enhances security to Data.
Copyrighted. Million Minds, Inc. 2005.10 Transaction vs Analysis Section C
Copyrighted. Million Minds, Inc. 2005.11 Definition Transaction is achieved by the concept called OLTP. Analysis is achieved by the concept called OLAP. Online Transaction Processing (OLTP) is driven by Operational Needs. Online Analytical Processing (OLAP) is driven by Strategic Needs. Collective OLAP is termed into one concept known as Business Intelligence. Reference: Strategy: An elaborate and systematic plan of action. It is also highly important to or an integral part of a strategy or plan of action. Operations: A business especially one run on a large scale. It is also a planned activity involving many people performing various actions.
Copyrighted. Million Minds, Inc. 2005.12 Transactional Business Engines Sample OLTP Applications oReservation systems oPoint of Sale oInventory control oAutomated tellers oManufacturing systems OLTP Requirements oCurrent data oRapid data update oHigh availability
Copyrighted. Million Minds, Inc. 2005.13 Types of OLTP Systems & OLTP Platforms Online Transaction Processing oRelational Data Base Management system (RDBMS). oOracle, SQL Server, DB2 oHierarchical DBMS oIMS oNetwork DBMS oIDMS oObject Oriented DBMS oVersant, Gemstone, Jasmine Mainframe host systems oIMS/CICS, IDMS, DB2, Oracle oMission critical, enterprise data oLegacy applications oMost of the worlds existing structured data Client/server systems oDB2, Oracle, Access, SQL server oDepartmental or small business data oNormalized design o12% worlds data (Celko 4/2000) OLTP SystemsOLTP Platforms
Copyrighted. Million Minds, Inc. 2005.14 Online Analytical Processing (OLAP) OLTP systems are not easy to query oAd hoc queries do bad things to transactional systems and its performance. oThis problem is solved by ETL process and OLAP. oETL stands for Extract, Transform and Load. Data is Extracted from various sources. Extracted Data is Transformed into related information for advanced BI processing. Finally it is Loaded into destinations as Tables or Materialized Views. OLAP is designed from the start to be queried oOLAP starts from where ETL process ends. oIt is a group of technologies and applications that collect, manage, process, and present multidimensional data for analysis and management purposes, making use of the information from ETL processes output. oIt is designed in such a way that the results of the analysis done are presented quickly, and within the same application or a closely linked application.
Copyrighted. Million Minds, Inc. 2005.15 OLAP and Materialized Views OLAP effectively makes use of ETL process output which is mostly of Materialized Views. Materialized Views are Database object(s) that contains the results of a query. Basically it is a process by which necessary Data is collected from various remote tables and stored into one local area. By this process there is a quick availability of Data for fast BI processing and high throughput and since Materialized Views are read-only, the original Data in the remote system is safe from changes. Materialized Views can also be synchronized periodically with the main Data, thus keeping them updated. By this process your BI reports are also kept updated. Since Materialized Views are extracted Data from an Organizations production Database, they do not make active use of the production Database which is always used by OLTP systems. And since OLAP systems make use of Materialized Views alone, the Database performance is maximized.
Copyrighted. Million Minds, Inc. 2005.16 Difference Between OLTP and OLAP Fig:2
Copyrighted. Million Minds, Inc. 2005.17 Understanding Business Intelligence Section D
Copyrighted. Million Minds, Inc. 2005.18 Definition o It is a term representing a collection of processes, tools and technologies. o BI methodology helps in better organization and analysis of data into useful collection of information facilitating better action towards organizational profit and goals. o It helps increasing profit by improving productivity, sales and services. o It is about turning a raw data into useful information by analyzing and rearranging them based on their inter-relationship. What is Business Intelligence ?
Copyrighted. Million Minds, Inc. 2005.19 Advantages of Business Intelligence Multidimensional. o Analyzes values from many perspective. Consistently Fast. o Pre-aggregation of data is performed which helps in faster results in predictable time. o This can be achieved by… Pre-aggregating relational tables or Creating a highly compressed multidimensional cube. Intuitive Interface. o Skilled analysts and non-technical users alike can quickly manipulate and analyze data and generate reports. Complex Calculations. o Complex cross-dimensional calculations made easy using hierarchies.
Copyrighted. Million Minds, Inc. 2005.20 Why do you need Business Intelligence ? Business Intelligence describes an enterprises ability to oGathering data from multiple sources for the purpose of business progression and analysis. oAnalyzing that information to develop insights and understanding. oLeading to improved decision making. oData Information Knowledge Rules Action Reiteration. oAccessing and exploring information (often contained in a Data Mart/Data Warehouse).
Copyrighted. Million Minds, Inc. 2005.21 Data…Data…Data…everywhere What is the use of Data ? Section E
Copyrighted. Million Minds, Inc. 2005.22 How Data is important ? Raw Data is an important asset using which one can find solutions to many of an organization's critical questions like... o What was the net profit for a particular product last year? o What will be sales this year? o What are the key factors to be focused this year in order to increase the sales? This asks for a well planned BI system which leads to these solutions.
Copyrighted. Million Minds, Inc. 2005.23 Warehouse And Marts Defined Data Warehouse oA Database specifically structured for query and analysis (Materialized Views). oData in a Data Warehouse are usually less detailed and longer lived than data from an OLTP system. Data Mart oA subset of the contents of a Data Warehouse oA Data Mart tends to contain data focused at the department level, or on a specific business area.
Copyrighted. Million Minds, Inc. 2005.24 Structure of Data Warehousing Fig:3
Copyrighted. Million Minds, Inc. 2005.25 Another View of Data Warehousing Structure Fig:4 and Fig:5
Copyrighted. Million Minds, Inc. 2005.26 More into Business Intelligence Section F
Copyrighted. Million Minds, Inc. 2005.27 Business Intelligence Distribution Different categories of Business Intelligence users oReport producers oReport consumers Different methods of delivery oPrinted output, email, web, intranet, desktop applications Different types of reports oOperational, line of business reports oHigh level analytic & forecasting reports Different types of access oStatic, distributed reports oAd-hoc data access
Copyrighted. Million Minds, Inc. 2005.28 Features of Good BI Tool Fig:6 1. Better integration with other systems Integration with third party tools to provide flexible campaign management using BI methods. 2. Improved throughput Reduced latency of information updates by moving beyond batch processing to near real time / real time updating and scoring Improved timeliness of analysis and reaction time leading to improved interactions / relationships with the customer. 3. Automation of key analytical methods - Profile Engine Profile engine representing a storage box of models Proprietary statistical modeling / predictive segmentation capabilities. 4. Expanded channel integration capabilities BI action pushed through multiple channels including mail, email, web, operational touch points, etc. 5. Alerts and Detects Event detection methods for highlighting latent findings and for triggering action. 6. Improved user experience Facilitates the attachment of web-based information dashboards designed for executive and non-technical entities to share key insights, trends, actionable metrics, program results, etc.
Copyrighted. Million Minds, Inc. 2005.29 Top Business Intelligence Companies There are many top companies who provide Business Intelligence tools like... o Oracle Corporation o Cognos Incorporated o Business Objects o IBM Informix o Teradata and many more… We are going to use Oracle Business Intelligence.
Copyrighted. Million Minds, Inc. 2005.30 Why Oracle Business Intelligence? Very High Business Standard that Oracle maintains. Oracle has been specializing on BI for many years. High support for interconnection between Databases and Oracle BI tools. (Oracle holds a huge Database market which also makes the usage of Oracle BI tools with Oracle Database much simpler and faster.) Data for Oracle BI Solutions can be extracted from various sources. (Oracle Database, DB2, SQL Server, Sybase, Informix, Rdb, DRDA, ODBC and many more…) Global Web Accessibility through any standard Browser. Personalization in Portal Pages based on role in the organization (e.g.: Sales, Administration etc). Oracle BI is very economical when compared with other tools of this kind. Oracle BI is Java Based, thus Platform Independent. Modularized Tool Sets for easy development and deployment. Ad-Hoc reporting of analytics.
Copyrighted. Million Minds, Inc. 2005.31 Frequently used Reports Business intelligence provides answers to basic questions such as… o What are my top five products? o How is my sales this year compared to the sales last year? o What is the 3-month moving average of sales? o What is my sales in a particular region? o What can we predict for sales next quarter? o What factors can we alter to improve the sales forecast? o How will our margins improve if we run this promotion? Business intelligence also enables o Access to summary historical and current data o Calculations on the data o Time-series analysis o Forecasting o Modeling o What-if analysis
Copyrighted. Million Minds, Inc. 2005.32 Designing Reports and Visuals Displaying the results may be the biggest political problem Often users dont accept the data because it looks different than their old format Drawing the line at what is displayed in red vs. green vs. yellow can be tough
Copyrighted. Million Minds, Inc. 2005.33 Dashboards And Portal Dashboard is a graphical representation of key business performance indicators oTypically symbols such as gauges or up and down arrows Portal provides a customized view of the business information a user wants oOften includes a dashboard of some type
Copyrighted. Million Minds, Inc. 2005.34 Few Sample Reports Section G
Copyrighted. Million Minds, Inc. 2005.35 BI Reports on Presentation Sample Reports oSample Cube for Business Intelligence Analysis oNet Revenue oRank By Country. oRank By Customer. oRevenue by Product category – A Dashboard
Copyrighted. Million Minds, Inc. 2005.36 Sample Cube for Multidimensional Analysis Fig:7
Copyrighted. Million Minds, Inc. 2005.37 Net Revenue Fig:8 and Fig:9 Revenue generated on basis of Fiscal Year Fiscal Quarter Fiscal Month on one report and a graph.
Copyrighted. Million Minds, Inc. 2005.38 Rank by Country Fig:10 and Fig:11 This section shows top five and bottom five countries on basis of net revenue generated. These are shown in two variants. A two dimensional table. 3D-Horizontal Bar Graph.
Copyrighted. Million Minds, Inc. 2005.39 Rank by Customers Fig:12 and Fig:13 This section shows top ten and bottom ten customers on basis of net revenue generated. These are shown in two variants. A two dimensional table. 2D-Horizontal Bar Graph.
Copyrighted. Million Minds, Inc. 2005.40 This analytics section displays Net Revenue on Sales for fiscal years 2000, 2001 and 2002 in three variants Tabular Format Graphical Format Gauges (Americas Only) Tables and Bar Graphs show Net Revenue on Sales for all regions Gauges are analytical tools that can be used to display rapid changes in data on a metrical format. In this case only Americas are taken for Gauge Analysis. Gauges are fast, clear and best for indices. Net Revenue by Product Category Fig:14, Fig:15 and Fig:16
Copyrighted. Million Minds, Inc. 2005.41 Section H What Various Researches have to say…
Copyrighted. Million Minds, Inc. 2005.42 Gartner Clients Consider Business Intelligence to Be a Major Priority. 15 November 2005 "Based on data from a recent Gartner survey, business intelligence jumped from the No. 10 slot to the second-highest priority on CIO's' agendas. In 2005, businesses using or planning to use BI software expect to spend approximately 5 percent to 10 percent of their software budgets on BI. BI Software Becoming a Top Priority for CIOs. 2 March 2005 "The worldwide business intelligence tools software market is expected to see a five-year compound annual growth of 7.3 percent through 2009. BI and DW Services Worldwide Forecast, 2002-2007. 26 November 2003 "The business intelligence and data warehousing opportunity for consulting and systems integration companies continues to stay hot, growing at a compound annual growth rate of 8.9 percent from 2002 through 2007. Gartner
Copyrighted. Million Minds, Inc. 2005.43 Business Intelligence Driven By Compliance, Standardization, And Performance Initiatives. April 5, 2005 "The market for business intelligence (BI) reporting and analysis solutions exceeded $5.5 billion in 2004, up from $5.3 billion in 2003. Reporting and analysis is essential to addressing compliance and measuring corporate performance, but standardizing on a single BI platform for all reporting needs is still a few years away. Most Global 2,000 companies have between five and 15 separate reporting and analysis solutions in use, placing a strain on IT resources and calling into question the integrity of the data in any one report. Consequently, the market is transitioning from departmental tools to enterprise solutions." Forrester
Copyrighted. Million Minds, Inc. 2005.44 Business Intelligence Market Growth 2005 to 2008. BI Market Size (USD Millions) Fig:17
Copyrighted. Million Minds, Inc. 2005.45 How many BI reporting and analysis solutions are currently being used in your company across all departments and divisions? A Question to 68 end users in North America and Europe Fig:18 About 90% use Business Intelligence in their company in any of their department. Random classification of companies.
Copyrighted. Million Minds, Inc. 2005.46 Approach BI platforms as you would any enterprise-class application. Begin the long process of standardizing now, but be very deliberate in your approach. Look for opportunities to embed BI within existing processes at the operational and tactical levels. Build your BI strategy around deploying BI applications to large audiences of information consumers within the context in which they do their jobs. Research Inference
Copyrighted. Million Minds, Inc. 2005.47 Our Suggestion to you. Section I
Copyrighted. Million Minds, Inc. 2005.48 What it means to you? The BI industry is strong and growing stronger. Companies will deploy BI to many more end users via process-centric applications as a trend of consumers replacing producers as the primary focus. The BI vendor landscape is changing dramatically with a greater emphasis by the Database and Application platform vendors. Standardizing on a single BI platform will be easier and much more profitable to both Organizations, Researchers and Developers. Business Intelligence will last very much longer than various other business development forces.
Copyrighted. Million Minds, Inc. 2005.49 Questions? We have just finished … Your Questions !!! Please !!!