database management issues

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    Database Management Issues

    July 3, 2013

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    Sources of Data

    External Data are

    obtained as a

    compiled list fromoutside the

    company.

    Internal data are

    obtained from

    various data sources

    within the company.

    Direct-contactbusinesses where the

    customer and the

    business have a direct

    interface, data

    gathering opportunity

    exists.

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    If a company has no direct contact with

    customers it could gather data in the followingways:

    1. List purchase. This may include lifestyledatabases which holds lists of people according

    to specific products and brands bought in

    categories such as packaged goods, finance and

    leisure.

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    2.Data-building schemes. These may

    include club membership, credit schemes,or promotions.

    3.Introduce new contact channels.New channels that offer direct contact

    could be opened to obtain data about

    customers. Airlines could offer ticketsdirect over the telephone rather than

    through travel agents.

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    Summary of Data Sources

    For directCompanies

    For indirectcontact

    companies

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    In the majority of companies, data about customers rarely

    goes directly from the customer onto the marketing

    database.Sale is made

    recorded in salesledger

    Accounts section andbilling section

    Stock control

    Marketing

    department

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    Manage the Database

    Advantages Disadvantages

    In-house A customized

    approach is possible

    Day-to-day control

    Data can be moved

    easily

    High cost of

    development

    Lack of internal

    expertise

    Name and addresshandling is difficult

    Bureau Easier to enforce

    service-levelagreements

    Leverage on

    Experience

    Conflicting demands

    from other clients High operating costs

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    People Issues

    IT people are cautious. Its their job to

    be cautious; they know the danger of

    chaos. Marketing is aggressive. Its

    their job to be aggressive; they know

    the danger of delay.

    -- A. Tapp

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    The Marketing perspective:

    As a marketer you are obsessed with the customer. You

    understand that one of the few differentiators we have is

    customer information. So why does not the rest of the

    company understand? Why is it so difficult to get them to

    accept that this is a priority?

    Marketers:

    Own the objectives of the database. They want it

    to be up and running quick to steal a march of

    their competitors; Dont fix on the cultural rules. They are there to

    be broken.

    Are often weak on technical details

    Know the danger of delay

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    The IT Perspective

    IT database managers have a very different view

    of the world. To them, marketers are only recent

    arrivals on the scene, coming behind theaccounting system, billing system, the stock-

    control system and the sales-recording system.

    What does marketing do anyway? They have neverunderstood it, and no one has bothered to tell them, so

    whats the fuss all about? An IT managers job is to make

    sure the companys internal systems are working properly.

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    IT people:

    Own the technical knowledge of the

    database and the internal systems to make ithappen;

    Focus on the details;

    Can feel weighed down by the problems;

    Need strong guidance on what data to hold

    and what software applications are required;

    Know the danger of chaos

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    Managing the Conflict

    The solution to the conflict is understandingeach others different points of view, and

    understanding what each others role are in

    managing the whole picture.

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    Data Management over

    time

    Issues involved:

    Keeping data up to date

    Auditing

    Archiving

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    Keeping Data up to Date

    Problem: Data decays over time, and so

    money has to be spent keeping it up to

    date.

    In the US, Stone (1996) estimates that consumerdata changes by as much as 20 percent every year.

    In the UK, a lifestyle database manager explained

    that his consumer data decays by 17 percent every

    year.

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    Gone-aways are

    customers whoserecords become out of

    date

    Cause of great

    concern to directmarketers.

    The last thing you would want is to waste money

    by mailing people who no longer live at that

    address, to get peoples names wrong, or cause

    distress to relatives by mailing someone who

    has recently died.

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    How to minimize these problems:

    Verify data against the electoral rollbefore selections of name and address

    are made. This will

    - help reduce the number ofgoneaways mailed;

    - reduce the data capture errors

    getting back to the customer

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    2. One rule of thumb is to use only recent

    data.

    -- For example:

    A supermarket would count three-month-

    old

    3. Run off 1,000 records regularly. Review

    common mistakes. Analyze the source of dataentry: coupon, phone, in-store. Look for

    patterns and track down source of the

    problem, then rectify it.

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    Auditing

    Audit counts should be carried out

    regularly for record verification. This

    should include checking databaserecords against the sources of those

    records, right back to the original data

    capture. It may be that mistakes alongthe way can be spotted and rectified.

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    I had a mailer recently from my bank. It

    eventually reached me after being forwarded bya friend who now lives in a house I vacated over

    two years ago. The mailer offered me a product

    which I had already taken up from the bank awhile back.

    Exhibit 1.1

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    The overall impression

    was one ofinefficiency and a lack

    of care being taken. It

    is likely that properrecord verification

    would have prevented

    the bank from wastedmailers such as this.

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    Archiving

    Relates with decisions about how

    long to hold records.

    Ask the question: When does a

    customer become a former

    customer?

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    Manage the Applications

    The key area to manage is the accuracy of any

    data that is going to get back to the customer.

    Areas of consideration:

    1. Selection

    2. Outputs

    3. Managing campaign responses

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    A company that sells flowers

    once mixed up two lists: one

    was a list of birthdays and the

    other was funeral anniversaries.

    Unfortunately, the funeral

    anniversary people got a letter

    starting Happy Anniversary!,

    while the birthday letters began

    On this sad day

    Exhibit 1.2: Mistakes with Data

    Happy Anniversary!

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    A telecommunications company launched a new

    product by writing to 1.7M of its customers. It

    needed to write to only those customers who were

    connected to updated equipment. By mistake,

    however, the list consisted of those customers notable to take up the service. When this had been

    discovered, the company has to write again to all

    these people explaining that they had been a bit

    hasty, and the service was not quite ready.

    Exhibit 1.2: Mistakes with Data

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    Outputs

    Outputs are those fields which are transferred

    from the database to the communication

    material going to the customer.

    For direct mail this would include address,

    name for salutation (Dear Mr/s), and also

    personal data such as account information for

    use in the letter.

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    Exhibit 1.3 More Mistakes on Data Outputs

    A large company once made a mistake whenoutputting data. The mistake was in the

    setting of fixed data fields for a test mailing it

    was doing. Instead of allowing the usual 20

    spaces for the name field, a wrongly

    pressed key meant only four spaces were

    allowed. So when customers received their

    mailers, their names were cut in half:

    instead of Dear Mr. Buttley the letter

    read

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    Dear Mr. Butt

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    Managing Campaign Responses

    A code to be part of the communication

    for the campaign. In the event of a

    response, this code could tell the directmarketer which campaign generated the

    response;

    A response (yes/no) code placed on the

    database