BI Foundation 1

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    Presentat ion Agenda

    Business I nt elligence (BI ) & you An i ll ust rat ion : Mar keting

    I ntelligence System

    Business Benef i ts

    BI Solut ion Component s

    Need f or BI Solut ions

    A t ypical mult i-product, mult i-divisional company has two

    problems:

    I t collects a lot of dat a that never gets used.

    A good number of analyst s spend 100% of t heir t ime

    analyzing dat a

    Organizations without BI Solution leads to managersspending minimum 20% of t heir t ime analyzing the dat a

    t hemselves using Applicat ion Pr ocessing Syst ems

    Business I nt elligence will help you f indanswers t o ...

    Who Ar e t he Most Prof it able Customers?Least Prof it able?

    What were our invent or y t urns last week? Which Product s and Services Are t he

    Most Prof it able? Least Prof it able? What will be t he ef f ect of of f ering

    discounts on sales? What Ar e t he Buying Pat t erns? Cross

    Selling Oppor t unit ies?

    Wher e BI could be Used

    EIS

    OPERATIONS

    FINANCESALES &MARKETING

    Competitive analysisTrend analysis

    Capacity Planning

    HR Planning

    UtilizationFulfillment

    Budgeting

    Consolidation

    ROI Calculation

    Product profitabilityCustomer profiling

    Sales performance

    The Complexit y Gradient

    What ifWe?

    StandardReports

    QueryModeling

    & Time

    Series

    DrillDown

    Calculation& Derived

    Data

    Show all customers Show all vendors

    Show all pendingpurchase orders

    Show al lorders>1 Lakh

    Tot aloutstandingpayableagainst avendor

    What is thedifference insales betweenQ1 and Q2?

    What is the 13week averageof sales?

    Di d ou rpromotioncampaign havea LASTINGimpact on sales

    How manypeople to hire,when to hire,where do weput thesepeople?

    If we loweredour prices,would itincrease marketshare?

    Mult idimensionalview of thedata

    Increasing Complexity

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    Role of Business I ntelligence in Mar ket ing

    STRATEGI C

    Target the best customers,

    manage market ing campaigns,generat e qualit y leads

    Support t he selling processf rom lead qualif ication toclosing the business

    Resolve customer issues af t ert he sale r esponsively andprof essionally

    TACTI CAL

    Market ing analysis

    Forecast i ng Marketing Process Automation

    Deliver and bil l the customer

    T el esal es

    Mob il e Sales

    Repairs and Returns

    Communication l ink

    Credi t Check

    Serv ice execut ion

    Market ing I ntelligence System

    Compet it ive I nt elligence

    Market Research

    COUNTY TRACT WESTERN TXHIGH CITY

    Target Customers

    < 500

    500to1,000

    1,000to3,000

    3,000to6,000

    6,000to15,000

    >= 15,000

    Dallas -Fort WorthFebruary, 1996

    Dallas

    DentonMcKinney

    Plano

    Fort Worth

    Lewisville

    9.512miles/inch

    Cust omer Focus is t he obj ect ive ofMarketing I nt elligence

    Database Market ing Data Warehousing Solution Core Technologies Report ing and Querying Analyzing for Modeling Data Visualization EIS and DSS Tools to

    Communicate

    Competit ive I ntelligence

    Data A ccess

    Data Management

    Report ing and Querying

    A nalyzing

    Marketing

    Intelligence

    Understand

    markets

    Understandcustomers

    Understandcompetition

    Market Research Regression Analysis Linear Modeling Neural Ne ts Data Mining

    Business Benef it s

    Support f or str ategic decision making

    Pr ovides facilit ies to senior decision-makers in a robust manner

    Eliminat e I mpact on Producti on Syst ems

    Reduce I nterrupt-Driven Requests to I S

    Empower Business Users

    Summarize Operational Data

    Leverage existi ng Operat ional Systems

    Major st eps in dat a warehouseimplement at ion

    Acquiring the necessary data

    Transforming the data

    Creating and populating a data warehouse

    Managing the data using metadata Loading the warehouse

    Exploiting the data warehouse.

    Inside Warehousing: Data Flow

    DATA

    ACCESS

    TRAN

    SF

    OR

    MATI

    ON

    METADATA

    DetailDetail

    DetailDetail

    SS

    SSSS

    SS

    DatamartDatamart

    DetailDetail

    SS

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    Customers

    Product

    Channel

    Market

    Time

    Shipments

    Returns

    Variance

    Budgets

    % Variances

    Cumulatives

    Siebel

    KOMS

    AR/AP

    Global Sales Analysis - I nf ormat ion Flow

    Analyze Channel

    EfficiencyStudy Sales TrendPerform Market

    Share AnalysisPerform Variance

    Analysis

    TransactionSystems

    Get data IN

    Largevolume of Simpletransactions

    Staticapplications

    Automates Routine

    TransactionSystems

    Get data IN

    Largevolume of Simpletransactions

    Staticapplications

    Automates Routine

    Business IntelligenceSystems

    Get information OUT

    Smallnumber of Complexqueries

    Dynamicapplications

    Automates Creativity

    Business IntelligenceSystems

    Get information OUT

    Smallnumber of Complexqueries

    Dynamicapplications

    Automates Creativity

    DataDataWarehouseWarehouse

    Operat ional Syst ems, Dat a Warehouse &Business I nt elligence Syst ems