With business intelligence, we create a learning organization that adapts quickly to market changes and stays one step ahead of the competition.

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2 With business intelligence, we create a learning organization that adapts quickly to market changes and stays one step ahead of the competition. Wayne W. Eckerson TDWI New to Business Intelligence? What Every Executive Should Know

3 The process for exploring and analyzing structured, domainspecific information to discern business trends or patterns thereby deriving insights and drawing conclusions. Howard Dresner, The Gartner Group Quality information in well-designed data stores, coupled with business-friendly software tools that provide knowledge workers timely access, effective analysis and intuitive presentation of the right information, enabling them to take the right actions or make the right decisions. Larry English, The Beye Network

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5 Performance Management only occurs once a year for every employee Multiple sources of data create multiple versions of the truth Manual assembly of information introduces data integrity and data quality risks Not easy to assess the performance of key business strategies Reliance on IT to develop custom reports or views of data Business information is delivered too late Takes too long to identify poor performing areas of the business Employees are not able to understand their own performance; Non-managers are not empowered with performance metrics Performance improvement and process changes are difficult to implement Trends are not easily identifiable Spreadmarts are cumbersome to maintain, manage and understand Predictive analysis takes too long

6 Front Office Document Approvals Sales Staff Back Office Payroll Receivables Budgeting Payables Receiving Purchasing Financial Reporting Accounting Staff Remote Workers Executives Time Entry Customers Vendors IT Staff

7 Business performance measurement and improvement Cost savings Improved employee and management communication Single version of the truth Improved data collection processes Cleaner data Quicker access to information Safe environment for what-if scenarios Knowledge Discovery Data supported decisions Less expensive license costs than ERP & CRM for a company-wide deployment

8 Reduction in report requests Self-service BI model Lower administrative costs for BI infrastructure Single repository for all business information Cloud service options Single version of the truth

9 Business Intelligence Applications include: Dashboards Ad-hoc Querying Scorecards Key Performance Indicators (KPIs) Forecasting/Modeling Data Mining Data Visualization Data Warehouses and Data Marts

10 What is a cube? A cube is a multidimensional database that holds data more like a 3D spreadsheet rather than a relational database The cube allows different views of the data to be quickly displayed Cubes are made up of measures and dimensions Serves as the presentation layer of a data warehouse

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12 Deconstructing the Cube Measures, KPIs, Dimensions & Hierarchies

13 Measures are the numbers in the data that when aggregated makes sense Sales: $ Expenses $ Sometimes items that are not numerical can become measures by being counted Customer count for example Aggregation of Measures accelerates query processing time

14 Key Performance Indicators (KPIs) are quantifiable measurements, agreed to beforehand, that reflect the critical success factors of an organization Leading and lagging indicators KPIs visually represent performance based on actual data and the quantifiable measurement KPIs will differ depending on the organization and its goals

15 A measure gives us a value # of Sales: 100 A KPI provides context The goal is 80 sales # of Sales: 100 The KPIs show us visually what the numbers represent

16 Dimensions answer the question: How do you want to see your data? Dimensions bring context to the measures Dimensions are the categories of data analysis When a user requests a report BY something, that something is a dimension Show me my top products by gross margin by product line by state for 2009

17 Sales $ Sales Bikes $ Accessories $ Q1 Q2 Q3 Q4 Total Bikes Accessories Total

18 Hierarchies are arrangements of dimension members into logical levels to speed up analysis Levels are used for drilling up and drilling down in a dimension Members are the items in the level of the hierarchy For example, in a Calendar Hierarchy the members of a Level called Month would be Jan, Feb, Mar, etc.

19 Level 1 - Category Bikes Level 2 - Subcategory Mountain Bikes Road Bikes Level 3 - Product Mountain- 100 Mountain- 200 Mountain- 500 Road-150

20 Hierarchies enable users to navigate through dimensions Allows you to slice and dice data in many different ways Helps to avoid confusion Eliminates illogical nesting of attributes Reduces the query processing time by utilizing pre-aggregation

21 BI Concept Measure Dimension KPI Hierarchy Reference Aggregation Slicer Goal Drill down

22 Demo Ad-hoc Querying

23 Demo Dashboard

24 Our Approach and Methodology Think BIG, Start SMALL

25 Develop Strategic Goals Develop Key Metrics Gather Data Determine Actions Organize Data Deliver Key Metrics Develop Conclusions Analyze Data

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28 Business Process Analysis, Measurement and Validation Data Warehouse Design, Development and Implementation Data Mining with Excel 2007 or higher Data Mart Design, Development and Implementation Dashboard Design & Implementation Scorecard Design & Implementation Multi-Dimensional Cube Development Training and Support KPI Development Performance Management Consulting Microsoft Dynamics GP Analysis Cubes Installation and Implementation Customization of Microsoft Dynamics GP and CRM Analysis Cubes Agile Project and Program Management Data Warehouse Optimization and Performance Tuning SharePoint Integration Data Visualization

29 Marc Holliday x2024

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