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    easure Measure GroupWhoNeeds BI?

    Business and IT Management, in companies o all shapesand sizes, are acing this question. Is Business Intelligence(BI) something we need to take on board? Is it critical, or

    can we get by without it?

    Are we too small to play in this league? Are we too large to even need BI?

    What are we really asking here?

    It is a complex question and one which leads in to

    several other questions. Making the determina-

    tion as to whether or not your company is going tobenet rom BI is achieved by examining several

    actors surrounding your business environment,

    nature o business, types and volumes o data you

    retain, uture growth and improve-

    ment plans, and more.

    A key actor is your corporate

    strategy or handling a wide variety o

    business drivers such as, competitive

    positioning, marketing, public rela-

    tions, expansion dynamics, together

    with a myriad o questions regarding

    your companys eorts to improve its

    overall protability and success.

    To what stage has your organization evolved?

    Is it a relative newcomer, well established or even

    a long-standing household name?

    What is your organizations business process

    maturity and what is its IT maturity? A oundation

    or BI is a supply o high-quality data, regardless o

    the extent o historical data available (BI is about

    pressing orward not just delving into the past) .An assortment o actors are to be examined

    to arrive at the answer to our question, all o which

    will reveal pointers to the viability and necessity o

    BI or you and your company. These

    pointers may act as guidelines o

    your decision to go with BI now, set

    a start date in the uture or just deer

    the whole enterprise to a later time.

    More contributing actors you

    are almost certain to be wanting to

    explore, revolve around the burning

    issue o ROI. You may have heard o

    cases where, larger, budget-rich cor

    porations have invested huge sums in Data Ware

    housing projects, to see them zzle out to nothing

    or all well short o expectations. Even i it becomes

    a critical initiative or your organization, the ven

    ture into BI should be very careully considered. It

    BI is aboutpressing

    forward notjust delvinginto the past

    The ollowing areas will be explored in more detail in order to answer the burning

    question, Who Needs BI?

    Size and evolution o organization.

    Availability o appropriate and usable data.Competitive challenges.

    Opportunities to improve status and protability.

    Business and IT readiness to adopt.

    Availability o technology and skilled resources.

    The impact o a uture without BI.

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    is almost paramount that your eorts should start

    out very ocused, with minimal outlay, to provethat it works or your people and that you have the

    people to make it work.

    Sometimes the all at once approach is justiable

    and necessary. One very large banking client de-

    pended on its BI initiative to achieve compliance

    with the Basel II Accord. However, there are many

    reasons why most enterprises will make the great-

    est long-term gain rom a gradual implementation

    o BI, and this is especially true or any organiza-

    tion that has yet to understand BIs demands, com-

    plexities and benets.

    We are about to explore the areas that will

    help you make the right decision or your company.Firstly, however, we need to briey state what is

    meant by the term Business Intelligence.

    A Brie Description o BI

    With the advent o low-cost storage hardware and

    the automation o data capture, we are now at a

    point where the volumes o data being held across

    organizations is growing exponentially. We hear o

    the data explosion that has arrived unannounced

    and unexpectedly on our doorstep. Most corpo-

    rate (and government) data repositories now con-

    tain ar more recorded data than can be looked at

    or used by the people in those groups.

    This is where BI steps in. Pouring over vast

    amounts o business records, even when summa-

    rized, may not always be an economic and ruitul

    exercise. Remembering that most o this data is justtransactional recordor business entitydata (such as

    Customer, Vendor, Employee, etc.). Our conven-

    tional means o looking at data typically only a

    produce statistical view. Further, we have to put

    in place a programmed report or each o these

    (usually xed) views. Obtaining more and dierentreports become the thorny issue o an IT requesto

    some sort, that creates back-log, wait times and an

    uncomortable demand on IT resources.

    BI has grown into a technology set that over-

    comes the fxed nature o conventional reporting.

    BI takes the elementary data, repackages it into

    ormats that allow dynamic selection o content

    (or analyses) and provide the means whereby reaand actionable inorma

    tion can be extracted

    rom the masses o

    stored data. BI is gener

    ated such that questions

    about your business

    that have not yet even

    been asked or imagined

    can be answered im

    mediately. Insights into

    your operation become

    available, that them

    selves spawn the next set o questions and thenthe next.

    True intelligence in the BI denition is the ca

    pability to get much more than statistics, in count

    less dierent ways and to have the answers ready

    beore the question is asked. A orward-looking or

    ganization wants to be sel-examining and to ac

    cess critical perormance, predictive and compara

    tive insights that can enable optimal and inormed

    decision making. It can turn to BI as the vehicle to

    next generation computing.

    Explore Your Situation

    Many actors will contribute to the conclusion as

    to whether an organization should or should not

    consider an initiative to implement BI. Let us now

    explore the areas o strongest inuence.

    The ollowing set o comparisons illustrate the

    pros and cons o a BI initiative or a small organ

    zation. This chart, and those that ollow with the

    same ormat, use a row or each aspect o the bus

    ness or organization, with the let columns (red)

    showing the end o the scale least likely to avor B

    and the right columns (green) showing the mosavorable. Think o the red and green as being the

    lower and upper end o a scale. Much o the time

    the organization under scrutiny will lie somewhere

    along the scale between the two extremes.

    Prove that itworks for your

    people and thatyou have the

    people to makeit work

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    Organization Size and Evolution

    The panels state eachextreme o a view ormeasure o a givenscenario that is rele-vant to the discussion.

    Try to gauge your or-ganization along eacho these scales.

    It would not be correct to rule out those organi-

    zations that are small or in their inancy. In act a

    edgling company is in a good position to lay the

    oundations or BI, beore the opportunity to re-

    tain valuable analytical data passes by.

    I it is possible to start capturing useul BI

    source data right rom the outset, there will be

    benets that long established corporations do not

    enjoy. Companies with a long history oten meet

    with hurdles to their BI implementations in the

    orm omissing data or disjoint data, due to system

    conversions with incomplete data migration or

    substantial data architecture changes.The type o challenge aced by small or young

    organizations range rom lack o unding, time and

    resources to other pressing priorities that are more

    closely involved with survival as a new player in an

    established market.

    The challenge o survival during those rs

    years o entering into an existing marketplace are

    oten sufcient distraction or an overworked man

    agement so that sophisticated analysis o business

    data hardly seems to make it onto the radar screen

    However, the neglect o data retention and deve

    opment o analytic capabilities must not become

    a habit that endures beyond ormation and into

    the mature years o operation. As start-up woes

    melt into distant memory and it becomes more

    imperative to engage and deeat competition, intelligence rom accumulated data denitely starts

    to play a critical role.

    Not ready tound suitabletechnology

    Already have, or canprocure appropriatesotware

    Organization not yetable to utilize BI Businessindividuals

    ready to

    leverage BI

    capabilities

    Currentinitiatives

    would benetrom advanced,

    dynamicanalysis o data

    Currentimprovementgoals are notrelated to datausage

    Systems wellestablished

    Computerapplications notyet stable

    Overwhelmed with challengesrelating to startup.

    Can accommodate BIinitiative schedule

    BI notexpected tocontribute tocurrent goals

    BI seenas clearadvantageto gainingoothold

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    Availability o Appropriate and Usable Data

    This investigation will determine i the organiza-

    tion owns data that is both the right type or BI and

    in the right condition or BI. The very act that data

    is inormation means that it is unlikely that there

    could be no useul analytical content embodied

    in the data generated within an organization. Pro-

    vided that there is relatively high volume, consis-

    tent and accessible data, there is almost certainly

    an opportunity or the introduction o BI.

    The types o data that are likely to be useul

    or analysis will vary by organization but generally

    includes transactions (sales purchases, etc.), busi-

    ness events (marketing programs, services used orprovided, targets, thresholds or limits reached or

    exceeded, and many more.

    Such data is usually ound in the companys

    relational databases and is recorded as a mix o

    gures (nancial amounts, quantities, time per

    ods, scores, estimates and various other values)

    and descriptive elements (codes, classiers, text

    descriptions, etc.). These two groups o attributes

    (quantitative and classiying) are the types o data

    central to the core unctions o BI where they are

    reerred to as acts (or measures) and dimensions

    respectively.

    The availability o well-populated tables o

    clean data is what enables a BI initiative.

    The more consistent the data is, the better the

    results. I application upgrades and replacementshave been requent and/or radical, there may be

    discontinuity in the historic data, oten a challenge

    to the BI designer.

    No data isduplicated,or isconsistentwhereduplicationdoes exist

    The same datais represented(duplicated) inmany dierent

    systems andhas little

    consistency

    Data existsbut contentis o verylow quality(poorlyvalidated)

    Data hasbeen

    checked orvalidity andconsistency

    Currentapplicationsdo not produceor retain datasuitable or use

    in analysis

    Good analytical data is producedand retained (see sidebar)

    v

    Applicationshave a high level

    o mandatorypopulated data

    Many dataelements have notbeen populated

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    Competitive Challenges

    Some organizations are not placed in a competi-

    tive marketplace or operate under strict regulation.

    I an operation need not, or can not

    seek to improve its scal perormance

    or quality o service in any way, it will

    have less justication or the introduc-

    tion o BI.

    One international client enjoyed an

    almost unilateral monopoly and, al-

    though investing enormously in

    world-class marketing, concerned it-

    sel largely with internal issues in the

    absence o a need to compete externally. For themajority o organizations, competing or market

    share and protability are the core business drivers.

    Every manager knows that there is a thin line be

    tween protable growth and many less desirable

    outcomes. Depending on the bus

    ness, there can be many parameters

    requiring careul adjustment in orde

    to achieve optimum perormance.

    Business analytics can help make

    those choices more prudently and

    generate eedback to aid in assessing

    their eectiveness. This is the reason

    dtre o Business Intelligence. The

    direction a company takes is based

    on the decisions o its leadership. Managementmakes those decisions based on available inorma

    tion. BI makes or better, more timely inormation.

    CompetitiveChallenge... the

    Raison detreof BusinessIntelligence

    The entity isa member osome largergroup thatmanages allaspects ocompetitivematters

    Dealing withcompetition

    is a criticalunction

    requiringall possible

    assistance

    Competition is erceand those equipped

    with the best tools aremore likely to survive

    Theorganization

    is in a non-competitive

    situation with

    no incentivesto improve

    Innovationis able toourishwithbenets orthose whopursue it

    Theenvironment

    is highlyregulated

    and withoutlatitude or

    improvement

    A monopoly existsthat obviatesthe need orcompetition

    Free marketorces aboundand competition

    is rieDestiny is

    controlled locallywith autonomy

    rom any higherauthority

    The organizationtakes alldirectives roma higher levelo ownership orcontrol

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    Opportunities to Improve Status and Proftability

    As with any demanding and signicant venture, BI

    demands attention and consumes resource. It is

    not going to be a viable exercise i there is neither

    the need or capability in the organization to seek

    some kind o improvement.

    BI does not come under the heading o non-

    discretionary, so an ulterior motive must exist or

    its adoption. Many large and successul corpora-

    tions will embark upon a BI initiative as much with

    their public image in mind as the need to do bet-

    ter in their eld. This is all part o the competitive

    mind-set and is justiable in o itsel.

    There are many kinds o organizations: notall are prot motivated and not all are concerned

    with competitive achievement.

    Business Intelligence is about leveraging a

    knowledge, extracted rom oceans o data, that

    would be otherwise undetected. Unless there is

    something to be gained rom the exercise, it would

    be a pointless waste o resources.

    Organizations whose charter is not concerned

    with prot, perormance or public image have less

    incentive to pursue BI. However, those engaged in

    trade or service delivery or those having set stan

    dards to attain can benet rom employing the

    tools o BI to better enable astute decision making

    and optimized operational parameters.

    Even statutory and regulatory compliance arepotential beneciaries o a BI initiative.

    The organizationis not under

    scrutiny romthe outside

    world (Public,Investors, Media

    or Regulators)

    Public imageis importantrequiring thatthe organizationis seen to beprogressive andquality-conscious

    Serious impact willbe elt rom alling

    behind in the useo eective tools

    Efciencyimprovementsare not relevant

    or possible

    Prot must besustained in order tocontinue in operation

    The organizationis not bound toor in existence togenerate prot

    Due toregulationor otherconstraint, nolatitude orimprovementexists

    Theorganizationhas reedom

    and selgovernanceto shape its

    own destiny

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    Business and IT Readiness to Adopt

    Development o BI solutions ollows a well dened

    path and can be successul i given the right tools

    and resources. However, BI is somewhat o a para-

    digm shit rom conventional applications and can

    not be achieved simply by re-assigning designers

    and developers with conventional systems expe-

    rience. This is certainly the highest risk actor and

    most requent cause o ailure in the case o BI ini-

    tiatives. Our experiences bear out this act. More

    than 50% o clients have called or support ater an

    internal attempt has run aground.

    This should be no surprise as the challenges

    can be difcult and the techniques are obscureto the uninitiated. BI is dierent, just as object

    oriented techniques were dierent and the inner

    workings will not be immediately obvious even to

    a seasoned development team and leadership.

    A key component o BI is the Dimensiona

    Model (as opposed to the amiliar Relationa

    Model). The Data Warehouse is the repository o

    the dimensionally modeled data and this is why

    a transormation process is required beore data

    can be loaded into it.

    Once data have been correctly transormed

    and then urther processed or use in Analytic tools

    it is necessary or the Business users to be initiated

    into the use o tools that acilitate the comprehen

    sive exploration o the BI capability.

    Willing andcapable managersand individualcontributorsare available toparticipate in a BIinitiative

    The businesscommunity

    has noresourcecapacity

    available tointroduce BI

    Businessmanagers or

    individualcontributors

    have not beeninormed o

    the benets orexistence o BI

    Businessmembershaveknowledgeor even priorexperience

    o BI usageand benets

    People areeager andwaiting orBI acilitiesknowing theywill bringcertain benet

    The businesscan not be

    convinced othe benets o

    data analysisand other BI

    eatures

    IT is inormed,prepared andenergized to launchthe BI initiative

    IT is still in needo enlightenmentas to the processand technologiesto be embraced

    Leadership iscommitted to

    sponsor, und anddrive BI success

    IT is over-stretchedin terms o

    resource andbudget or ully

    committed toother priorities

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    Availability o Technology and Skilled Resources

    The area we are about to discuss is that in which

    most mistakes are witnessed. In spite o the num-

    ber o hurdles to be overcome in a BI initiative, the

    pitall that seems to trap most IT managements is

    the issue oappropriate resources.

    Business applications o all shapes and sizes

    have been developed successully by practitioners

    with conventional development experience. This

    is not going to work with Data Warehousing and

    Dimensional Analysis. Inexperienced developers,

    even with one or two weeks o dedicated special-

    ist training, have no way to handle the very dier-

    ent challenge o BI.Multiple client experiences have shown this

    to be true. Most o the situations we have en-

    countered exhibited the remnants o a ailed and

    abandoned attempt. Even the largest o BI projects

    staed with excellent people, have oundered due

    to the lack o experience. This is one type o proj

    ect that is dierent rom the conventional business

    application.

    Beore engaging a consultancy to deliver you

    BI, enquire extensively and conclusively into the

    experience o the sta members being allocated

    to your project. I the vendor does not have expe

    rienced personnel to dedicate to your BI initiative

    your success may be jeopardized. Measure Groups

    mission is to help you succeed with BI. Study the

    available material and make use o the tools andtemplates on oer. You will not only save time and

    budget but will have a much greater likelihood o

    achieving success, guaranteed.

    Well brieedmanagementunderstand that BItechnologies aretoo complex orinexperienced stato implement

    Managers expectthat sending

    developers onBI training issufcient to

    prepare them or asuccessul project

    Modern server technologies,database system, net-workeddesktop computers are allstandard

    The company isnot equipped with

    suitable computingacilities and

    sotware tools toimplement BI

    There is aperception that BI

    is an all-or-nothingundertaking

    requiring a massiveproject team or

    huge externalspending

    Inormed managersare aware success ismore likely rom asmall venture intoBI with subsequenteorts based onvaluable learningexperiences

    Managementbases BI invest-ment decisionssolely on inor-

    mation rom ven-dor salesmen

    Managementresearched BIextensively beoremaking largebudget decisions

    Managementcommissioned an

    analysis o data archi-

    tecture and prelimi-

    nary data proling

    beore deciding on a

    ull BI development

    Managementis unaware oactors thatinuence thesuccess o BIand expecttechnical teamsto overcomeany obstacles

    IT is poisedto launch aBI initiativeand deploydevelopers

    without prior

    BI experience

    Practitionerswithactual BIexperienceare in

    house orobtainable

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    The Impact o a Future Without Business Intelligence

    A nal way to determine Who Needs BI? is to en-

    visage the organization going orward without it,

    perhaps in an environment where the competition

    has BI.

    Even the largest and most successul enter-

    prises still have their problems and challenges. In

    act the larger the company, oten, the larger the

    problem. BI is a tool to help overcome some o to-

    days business problems and also a acility to help

    manage into the uture. It thereore makes sense

    to think that a uture without BI will be less ef-

    cient than one with it.

    Beyond efciency, there is the over-archingissue o competitiveness. No entity in a competi-

    tive arena wants to be lacking a benet or advan-

    tage that the opposition has. In the nal analysis,

    the possession o BI capabilities will likely be man

    dated purely in order to avoid being overtaken by

    the competition.

    It is possible to think o BI as another tool in

    the corporate arsenal, just like advertising, sales

    discounts or promotions. Or compare it with mar

    ket research and quality assurance. There was a

    time when each o these business components did

    not exist but it is hard to imagine surviving with

    out them anymore. BI is an advancement over the

    standard IT applications o today but tomorrow it

    will be common-place. There is probably going to

    be a time when your organization employs BI sothe question becomes more o a when and how

    rather than a go or no go.

    Deerring BI is anoption as a rapid

    catch-up operationis highly easible

    I the competitiongets ahead with BI,it will be difcultcatch up or regainthe lead

    Being innovative isa desired aspect ocorporate culture

    Staidconservatismgenerallyrestrains dynamicorward thinking

    Externalopinion isthat theentity ocuson coreobjectivesand not BIinvestment

    The publicand investorimage o theorganization

    expectsit to be

    progressive

    You are an earlyadopter withno desire to belet behind ontechnologicaladvancements

    The organizationcan choose

    to wait ratherthan seek early

    advantage rominnovations

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    The fnal answer - who needs BI?

    A review o the scales represented by the pan-

    els on the previous pages and positioning your

    own organization somewhere between each ex-

    treme, will render an overall picture o the pros

    and cons (or or and against) proposition o BI in

    that organization.

    I you wish to reach a more empirical conclu-

    sion with these assessments, try applying a numer-

    ical score to each panel. Treat the negative state-

    ment (associated with icons o stop, red light

    etc.) as scoring a negative 10 (minus 10). Treat the

    positive statement (associated with icons o green

    light, success, etc.) as scoring a positive 10 (plus10).

    Then add up the scores given each panel to

    produce a zero-adjusted overall score. A posi-

    tive total will give an overall indication that BI is

    needed in the organization and a negative tota

    will indicate the converse. Something at, or nea

    zero would be a close call and require careul con

    sideration as to the viability o a BI initiative at this

    time.

    The panel below illustrated how this scoring

    may be applied to each scale o measure discussed

    previously.

    The additional Measure Group booklet en

    titled What exactly is BI? should be reerenced

    in conjunction with this one. You can be sure that

    the second great era o commercial computing ispowered by the concepts that dene Business In

    telligence and that the uture will see a time when

    virtually all eligible organizations depend on BI.

    Innovationis able toourishwithbenets orthose whopursue it

    Theenvironment

    is highlyregulated

    and withoutlatitude or

    improvement

    0 10-10 2-2 4-8 6-6 8-4