CRM chap 9

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    IN THE NAME OF ALLAH

    THE MOST BENEFICIENT,

    MOST MERCIFUL

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    GROUP MEMBERS

    Muhammad Naveed

    Farhan Ahmed

    Zohrab Ahmad

    Tahir Abdullah

    Azhar Nazir

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    CRM AND DATA

    MANAGEMENT

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    INTRODUCTION

    This chapter illustrates the process of data collection and

    transformation of data into information and knowledge, and how it

    enables CRM.

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    WHY TO MANAGE CUSTOMER

    INTERACTION?Because the success of a business-customer relationship is

    determined by the interactions.

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    THE CUSTOMER INTEGRATION

    PROBLEM Corporations have been capturing and storing volumes of

    customer information for a number of years. This informationis generally stored in a database specific to a particular

    business process case. Typically these cases can be

    differentiated by process type (customer service, billing,fulfillment) by channel type telephone, mail, internet) and by

    product type.

    To enable CRM effectively the data must be integrated andshould be available during any customer interaction.

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    CUSTOMER DATA INTEGRATION

    CDI is a data management process where all prospects and

    customer data can be distributed to point of interaction in a

    timely and accurate manner.

    Distributed Points of interaction

    Timely

    Accurate

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    HOUSEHOLDING CONCEPTS

    Individuals with the same last name living at the same address

    may be defined as one household. Individuals with different

    last names living at the same address may be defined as

    separate house- holds.

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    CUSTOMER DATA INTEGRATION

    STEPSIDENTIFY TOUCH POINTS:

    The organization needs to identify all areas in which it is

    possible to interact with current and prospective customers.

    Every interaction generates a transaction or some type ofrelative information. These interaction areas or touch points

    will vary depending on an organization's vertical market and

    business function within that market e.g. Web, telephone, face-

    to- face.

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    HOWDATA WILL BE COLLECTED?

    ESTABLISH BUSINESS RULES FOR DATA

    COLLECTION:

    A company must first determine which variables will be

    captured and then determine and define a priority setting foreach variable.

    For example, if a person enters his or her age in more than one

    touch point and the age is different, a business should

    determine which touch point will be used as a source for age.

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    METHODOLOGY FOR MANAGING THE

    DATA INPUT PROCESS AFTER

    COLLECTIONThe data input process consists of all the steps required to

    move data from the point of collection to a place where it can

    be read for input into a process for transforming each variable

    into a common format.

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    TIMELINESS

    Organizations should establish a check and balance to ensure

    that all required inputs have been made available to the next

    process.

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    CONSISTENCY AND ACCURACY

    Inconsistent data is perhaps worse then inaccurate or absent

    data, when there is no data no information is generated and

    subsequently nothing is available for input to the next step, the

    placing of data into a common format.

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    PLACE THE DATA INTO A

    COMMON FORMATPersonal information may be captured by he organization or its

    value chain members in a variety of formats from different

    touch points.

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    SEPARATE CUSTOMER LINKAGE

    DATA FROM ALL OTHER DATA Data collected from touch points can be placed into two

    categories. The first category represents non linkage

    information

    Non linkage information is any element which is not used toidentify contact information.

    Linkage information is the type of information that can be

    used to identify a person, business or a household.

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    STANDARDIZE CUSTOMER

    LINKAGE DATAThe linkage data elements captured from multiple touch points

    may differ in their format; in some instances, data coming

    from the same touch point may vary in format as well. Format

    here can be defined as the number of characters, i.e. the length

    of a field that contains data. The length of a data record can

    also vary.

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    CORRECT THE LINKAGE DATA

    COMPONENTS Correcting any errors in the linkage components will enhance

    all subsequent steps. Software available for this purpose.

    The software examines each geographic linkage component

    for errors and makes the correction where applicable.

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    APPLY POSTAL PROCESSING TO

    THE CUSTOMER LINKAGE DATA Postal processing utilizes information provided by the United

    States Postal Service (USPS) to ensure that the customer or

    prospects most current address is available within a company

    s CRM data environment.

    First the person can tell the organization directly

    Secondly the organization attempts to find using other means

    when the person does not tell them.

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    CUSTOMER LINKAGE

    IDENTIFICATION PROCESS A method of linking records of individuals or businesses

    that appear more than once in any set of data.

    Record linkage methods fall into three broad categories:

    1. Manual matching is the oldest, most time-consuming,

    and cost lies method and is not a feasible option whenlarge databases or files are involved.

    2. Deterministic record linkage links pairs of records on thebasis of whether they match or agree on initial, address,birth date and gender etc

    3. Probabilistic record linkage uses probabilities todetermine whether a pair of records refers to the hoodthat a pair of records is a true match.

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    THANK YOU FOR JOINING.

    Questions?