Business Intelligence


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  • e.g. airlines and hotels or result as business partner.
  • Business Intelligence

    1. 1. Business Intelligence (BI)
    2. 2. Business Intelligence…examples  A hotel franchise uses BI analytical applications to compile statistics on average occupancy and average room rate to determine revenue generated per room. It also gathers statistics on market share and data from customer surveys from each hotel to determine its competitive position in various markets. Such trends can be analyzed year by year, month by month and day by day, giving the corporation a picture of how each individual hotel is faring.  A bank bridges a legacy database with departmental databases, giving branch managers and other users access to BI applications to determine who the most profitable customers are or which customers they should try to cross-sell new products to. The use of these tools frees information technology staff from the task of generating analytical reports for the departments and it gives department personnel autonomous access to a richer data source.  A telecommunications company maintains a multiterabyte decision-support data warehouse and uses business intelligence tools and utilities to let users access the data they need without giving them carte blanche to access hundreds of thousands of mission-critical records. The tools set boundaries around the data that users can access, creating data "cubes" that contain only the information that's relevant to a particular user or group of users.
    3. 3. BI Industry Scenario…  Today's exciting BI market is ripe with opportunities to hit your strategic business targets.  Gaining market share, keeping customers and controlling costs remain key objectives. Mid-market executives and big corporate department heads rush to cost effectively meet these complex needs. How? Through improved use of their existing database systems.  CFOs require 'business intelligence' systems that display accurate SKU or customer-level P&Ls, permitting reliable channel and store comparisons over time. Improved forecasts are vital, too!  Data warehousing and analytical skills are combined with an understanding of industry issues, as we refine and implement your vision.  According to Gartner survey of 1,400 CIOs, business intelligence was ranked the top technology priority surpassing security.  The BI and analytics market is currently valued at $8.5 Billion and is expected to grow to $13 Billion over the next five years
    4. 4. Business Intelligence (BI) BI refers to application and technology, which is used to gather, provide access to, and analyze data and information about the company operations
    5. 5. Business Intelligence Definition BI is neither a product nor a system. It is an architecture and a collection of integrated operational as well as decision-support applications and databases that provide the business community easy access to business data.
    6. 6. BI Popularized… In 1989 Howard Dresner a Research Fellow at Gartner Group popularized "BI" as an umbrella term to describe a set of concepts and methods to improve business decision-making by using fact-based support systems
    7. 7. Why BI solutions ?
    8. 8. More data and data sources…
    9. 9. Evolution from Static Report to BI…
    10. 10. Evolution of financial Systems…
    11. 11. Categories of Report Writers
    12. 12. Sources of Information for Vendor & Product Research
    13. 13. Key Stages of BI Data Sourcing Data Analysis Situation Awareness Risk Analysis Decision Support
    14. 14. BI applications and technologies can help companies analyze: changing trends in market share changes in customer behavior and spending patterns customers' preferences company capabilities market conditions
    15. 15. Significance of BI… To know about Customers Having access to timely and accurate information is an important resource for a company, which can expedite decision-making and improve customers' experience. In the competitive customer-service sector, companies need to have accurate, up-to-date information on customer preferences, so that the company can quickly adapt to their changing demands. BI enables companies to gather information on the trends in the marketplace and come up with innovative products or services in anticipation of customer's changing demands.
    16. 16. Significance of BI… To know about Competitors…Market… BI applications can also help managers to be better informed about actions that a company's competitors are taking. BI systems can also be designed to provide managers with information on the state of economic trends or marketplace factors, or to provide managers with in depth knowledge about the internal operations of a business.
    17. 17. Significance of BI… For avoiding Guesswork… BI can be used to help analysts and managers determine which adjustments are most likely to respond to changing trends. BI systems can help companies develop a more consistent, data-based decision making process for business decisions, which can produce better results than making business decisions by "guesswork."
    18. 18. Significance of BI… For sharing of information… BI can help companies share selected strategic information with business partners. Some businesses use BI systems to share information with their suppliers like….. inventory levels performance metrics other supply chain data
    19. 19. Significance of BI… For improving performance… BI applications can enhance communication among departments, coordinate activities, and enable companies to respond more quickly to changes (e.g., in financial conditions, customer preferences, supply chain operations, etc.). When a BI system is well-designed and properly integrated into a company's processes and decision-making process, it may be able to improve a company's performance.
    20. 20. BI Technologies need to have a secure computer system which can specify different levels of user access to the data 'warehouse', need to have sufficient data capacity, a plan for how long data will be stored (data retention). BI analysts have developed software tools to gather and analyze large quantities of unstructured data such as production metrics, sales statistics, attendance reports, customer attrition figures.
    21. 21. BI Tools AQL – Associated Query Logic Balanced Scorecard Business Activity Monitoring Business Performance Management Business Planning Business Process Re-engineering Competitive Analysis User/End-User Query and Reporting Enterprise Management System Executive Information System SCM – Supply Chain Management Demand Chain Management and Finance and Budgeting tools.
    22. 22. Other BI applications are used to store and analyze data Data Mining, Framing & Warehousing (DSS) and Forecasting Document Warehouse & Management Knowledge Management Mapping, Information Visualization and Dash boarding; Management Information System (MIS); Geographic Information System (GIS); Trend Analysis; Software As A Service (SaaS) Business Intelligence offerings (On Demand) Online Analytical Processing (OLAP) and Multidimensional analysis sometimes called "Analytics" (based on the "hypercube" or "cube"); Real Time Business Intelligence Statistics and Technical Data Analysis Web Mining, Text Mining and Systems Intelligence
    23. 23. Other BI applications are used to analyze or manage the "human" side of businesses, Customer Relationship Management (CRM) Marketing Tools Human Resources applications. Web Personalisation
    24. 24. Some common factors of ill-equipped organizations to implement BI…  Lack of understanding of the complexity of BI decision- support projects  Lack of recognizing BI decision-support projects as cross-organizational business initiatives and not understanding that cross-organizational initiatives are different from stand-alone solutions  Unavailable or unwilling business representatives  Unengaged business sponsors or business sponsors who have little or no authority due to their low-level positions within the organization
    25. 25. Some common factors of ill-equipped organizations to implement BI…  Lack of skilled and available staff as well as suboptimum staff utilization  Inappropriate project team structure and dynamics  No software release concept (no iterative development method)  No work breakdown structure (no methodology)  Ineffective project management (only project administration)  No business analysis and no standardization activities  No appreciation of the impact of dirty data on business profitability  No understanding of the necessity for and the usage of meta data  Too much reliance on disparate methods and tools (the "silver bullet" syndrome)
    26. 26. Designing and implementing a Business Intelligence Program Factors need to be considered Goal Alignment queries Baseline queries Cost and risk queries Customer and Stakeholder queries Metrics-related queries Measurement Methodology- related queries Results-related queries
    27. 27. The Future of BI… BI users are beginning to demand [Real time BI] or near real time analysis relating to their business, particularly in front line operations. They will come to expect up to date and fresh information in the same fashion as they monitor stock quotes online. Monthly and even weekly analysis will not suffice
    28. 28. The Future of BI… "Business users don't want to wait for information. Information needs to be always on and never out of date. This is the way we live our lives today. Why should Business Intelligence be any different?" Charles Nicholls, CEO of See Why, a Software company, Windsor UK
    29. 29. The Future of BI… In the not too distant future companies will become dependent on real time business information in much the same fashion as people come to expect to get information on the internet in just one or two clicks. "This instant "Internet experience" will create the new framework for business intelligence, but business processes will have to change to accommodate and exploit the real- time flows of business data." Nigel Stokes, CEO, DataMirror Corp.
    30. 30. Kinds of Business Intelligence Real-time BI   Compares current business events with historical patterns to detect problems or opportunities automatically Business intelligence system that maintains the current state of the enterprise.
    31. 31. Tactical BI (or task-oriented/-centric) Tactical business intelligence, called traditional and/or analytical in various industry articles, is the application of business intelligence tools to analyze business trends, frequently comparing a specific metric (such as sales or expenses) to the same metric from a previous month or year. In most companies, there are usually a few analysts in each department who use online analytical processing (OLAP) and ad hoc query to perform this task. To date, BI tools are mostly used to analyze historical business data to discover trends or anomalies that need attention.
    32. 32. Investigative BI (or exploratory) Investigative BI is generally launched from a dashboard. Flexibility of drilldown is a key differentiator. This concentrated specialty focuses on the current status of the business. Specifically, will take a good hard look at the location of assets, pertinent financial information, and can perform background investigations on officers and employees within the organization.
    33. 33. Third-party BI At the higher end, third- party BI can be delivered via dashboards. Often, however, it just looks like a single parameterized report. (E.g. Google Analytics.)
    34. 34. Traditional BI Traditional business intelligence presents historical data for manual analysis
    35. 35. Thank You!