OCTAGON Business Process Management. Challenges with the NCAA and Company Credit Policy

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OCTAGON Business Process Management. Challenges with the NCAA and Company Credit Policy
OCTAGON
Credit Processes & Loans Administration.
            Business Process Management.
 Challenges with the NCAA and Company Credit Policy
OCTAGON Business Process Management. Challenges with the NCAA and Company Credit Policy
Who is Octagon?

                  “Octagon is a leading solutions provider for
     Credit application processing and Loans management in South Africa.”

   Specialising in the Credit & Loans environment since 1998
   Own products built and maintained by Octagon in SA
   Systems and integration is deployed in Credit Bureaus, Telkom, Major
    Retailers, Financial Institutions, Attorneys, Estate Agencies & Credit
    Grantors
   Products for Credit Application Processing and Decisioning, Account
    Management & Collections.
   Clients: Furniture & Clothing Retailers, Asset Based Finance, Vehicle
    Finance, Microlenders, Attorneys, Mortgage Originators, Estate Agencies
    and Small Business.
   Fully integrated Loans Management System product with Format 700V2
    reporting.

                                                                     Copyright © Octagon -2019
OCTAGON Business Process Management. Challenges with the NCAA and Company Credit Policy
Driverless Taxi

                  Copyright © Octagon Group -2096
OCTAGON Business Process Management. Challenges with the NCAA and Company Credit Policy
Credit Application Processing

 Customer acquisition (Sales channels Web, SMS)
 The Company Credit Vision
 Know your Customer KYC
 Cradle to the Grave
 Credit Strategy
 Credit Decisions
 Reports & Records

                                            Copyright © Octagon -2019
Customer acquisition
 Traditional channel own sales force, formal
  marketing, internet marketing, social media.
 Utilizing existing customers who are paid up and
  pre vetted
 Finding qualified leads
 Getting pre vetted approved client lists.
 Getting leads via web, short message code SMS
  channel or using USSD.

                                             Copyright © Octagon -2019
OCTAGON
                          THE CREDIT PROCESS VISION

                                                            Information Sources
                                                            Credit Bureaus SACRRA
Software Products WEB             WWW or V P N
Enabling Transactions

                                            DATA
                                           SWITCH
                                           (SPOC)
                                                            Value Ads. Loyalty
                                                            Insurance etc.

                                   Usage       Apps
                                   & Billing   Processing

            Back office
            Score engines.                                  Financial Providers
            Decision process
            Loan administration                             Treasury, Internal Data
            CRM

                                                                          Copyright © Octagon -2019
DON’T Judge too quickly

                          Copyright © Octagon -2019
NCAA
   To amend the National Credit Act, 2005, so as to amend certain
    definitions; to provide for the alteration of the governance structure of
    the National Credit Regulator; to empower the Chief Executive Officer
    to delegate certain functions to other officials of the National Credit
    Regulator; to provide for the registration of payment distribution
    agents; to tighten measures relating to debt counsellors and the conduct
    of their practices as debt counsellors; to allow registrants to voluntarily
    cancel their registration; to empower the Minister to issue a notice for
    the removal of adverse consumer credit information; to provide for
    automatic removal of adverse consumer credit information; to
    empower the National Consumer Tribunal to declare a credit
    agreement reckless; to provide for the registration and accreditation of
    alternative dispute resolution agents; and to provide for matters
    connected therewith.

                                                                     Copyright © Octagon - 2019
Automatic removal of adverse consumer credit information
    „„71A. (1)The credit provider must submit to all registered credit bureaux within seven
     days after settlement by a consumer of any obligation under any credit agreement,
     information regarding such settlement where an obligation under such credit agreement
     was the subject of—
    (a) an adverse classification of consumer behaviour;
    (b) an adverse classification enforcement action against a consumer;
    (c) an adverse listing recorded in the payment profile of the consumer; or
    (d) a judgement debt.
    The credit bureau must remove any adverse listing contemplated in subsection (1)
     within seven days after receipt of such information from the credit provider.
    If the credit provider fails to submit information regarding a settlement as contemplated
     in subsection (1), a consumer may lodge a complaint against such credit provider with
     the National Credit Regulator.
    For the purposes of this section— (a) „adverse classification of consumer behaviour‟
     means classification relating to consumer behaviour and includes a classification such as
     „„delinquent‟‟, „„default‟‟, „„slow paying‟‟, „„absconded‟‟, or „„not contactable‟‟; and (b)
     „adverse classification of enforcement action‟ means classification relating to
     enforcement action taken by the credit provider, including a classification such as
     „„handed over for collection or recovery‟‟, „„legal action‟‟, or „„write-off‟‟.‟‟.

                                                                                      Copyright © Octagon - 2019
Application of prescription on debt

   No person may sell a debt under a credit agreement to which this Act applies and that
    has been extinguished by prescription under the Prescription Act, 1969 (Act No. 68 of
    1969).
   No person may continue the collection of, or re-activate a debt under a credit agreement
    to which this Act applies— (i) which debt has been extinguished by prescription under
    the Prescription Act, 1969 (Act No. 68 of 1969); and (ii) where the consumer raises the
    defense of prescription, or would reasonably have raised the defense of prescription had
    the consumer been aware of such a defense, in response to a demand, whether as part of
    legal proceedings or otherwise.

                                                                                  Copyright © Octagon - 2019
CRITERIA TO CONDUCT AFFORDABILITY
                         ASSESSMENT
   APPLICATION These Regulations apply to:
   (a) current, prospective and joint consumers; (b) all credit providers; and
   (c) all credit agreements to which this Act applies, subject to Regulation 2.
   These Regulations do not apply to a credit agreement in respect of which the consumer is a
    juristic person and do not apply to:
   (a) a developmental credit agreement;
   (b) a school loan or a student loan;
   (c) a public interest credit agreement;
   (d) a pawn transaction;
   (e) an incidental credit agreement;
   (f) an emergency loan;
   (g) a temporary increase in the credit limit under a credit facility;
   (h) a unilateral credit limit increase in terms of sections 119(1)(c);119(4); and 119(5) of the Act
    under a credit facility;
   (i) a pre-existing credit agreement in terms of Schedule 3 Item 4(2) of the Act;
   (j) any change to a credit agreement and/or any deferral or waiver of an amount under an
    existing credit agreement in accordance with section 95 of the Act;
   And (k) mortgage credit agreements that qualify for the Finance Linked Subsidy Programs
    developed by the Department of Human Settlements and credit advanced for housing that falls
    within the threshold set from time to time.
                                                                                        Copyright © Octagon - 2019
   A credit provider must make a calculation of the consumer's existing financial means, prospects and
    obligations as envisaged in sections 78(3) and 81(2)(a)(iii) of the Act.
   The credit provider must utilise the minimum expense norms table below, broken down by monthly
    gross income when calculating the existing financial obligations of consumers.
   The methodology in the table requires for:
   (a) credit providers to ascertain gross income; (b) statutory deductions and minimum living expenses to
    be deducted to arrive at a net income, which must be allocated for payment of debt instalments; and (c)
    when existing debt obligations are taken into account, the credit provider must calculate discretionary
    income to enable the consumer to satisfy any new debt.
   Table l: Minimum Expense Norms Minimum Maximum Minimum monthly Fixed Factor
   Monthly Fixed Factor = % of Income Above Band minimum
   R0.00 to R800.00               R0.00                  100%
   R800.01 to R6,250.00           R800.00                6.75%
   R6,250.01 to R25,000.00 R1,167.88                     9.00%
   R25.000.01 to R50,000.00 R2,855.38                    8.20%
   R50,000.01 Unlimited           R4,905.38              6.75%
   The credit provider may however on an exceptional basis, where justified, accept the consumer's
    declared minimum expenses which are lower than those set out in table 1 provided the questionnaire set
    out in the Schedule, as issued from time to time, is completed by the consumer or joint consumers.
   When conducting the affordability assessment, the credit provider must:
   (a) calculate the consumer's discretionary income; (b) take into account all monthly debt repayment
    obligations in terms of credit agreements as reflected on the consumer's credit profile held by a
    registered credit bureau; and take into account maintenance obligations and other necessary expenses .
                                                                                         Copyright © Octagon - 2019
whoops

         Copyright © Octagon - 2019
Existing financial means and prospects
    A credit provider must take practicable steps to assess the consumer or joint consumer's
    discretionary income to determine whether the consumer has the financial means and
    prospects to pay the proposed credit instalments.
    A credit provider must take practicable steps to validate gross income, in relation to:
   (a) consumers that receive a salary from an employer:
   (i) latest three(3) payslips; or (ii) latest bank statements showing latest three(3) salary
    deposits;
   (b) consumers that do not receive a salary as contemplated in (a) above by requiring:
   (i)(ii) latest three(3) documented proof of income; or latest three(3) months bank
    statements;
   (c) consumers that are self-employed, informally employed or employed in a way
    through which they do not receive a payslip or proof of income as contemplated in (a) or
    (b) above by requiring:
   (1) latest three (3) months bank statements; or (ii) latest financial statements.
   Where the consumer's monthly gross income shows material variance, the average gross
    income over the period of not less than three (3)pay periods preceding the credit
    application must be utilised.
   The consumer must accurately disclose to the credit provider all financial obligations to
    enable the credit provider to conduct the affordability assessment.
   The consumer must provide authentic documentation to the credit provider to enable the
    credit provider to conduct the affordability assessment.
                                                                                    Copyright © Octagon - 2019
CREDIT STRATEGY
                                                   Single Customer View
                                                                                 Information
                                                                                   Sources
      Credit Information                                                     • Experian
       Online Financing                                                      • Transunion
        Property Info                                                        • XDS
       Online Insurance                                                      • Compuscan
           Bank Acc                                                          • NLR / CPA
         Verification        •Profiler
                                                                             •Deeds Offices
                             •Frontier                                       • SAPTG
                             •Dossier                                        • Refcheck
                             •Credit Office
                                                                       WWW   • Criminal records
  Clients                                                                    • SAFPS
                                                                             • ID Verification

                                                                                Value Adding
                                                          SWITCH                  Services
                                                          (SPOC)
                                                                             • Pre Approvals

                                                                             • Term Life

                   Integrations                           Monthly            • Credit Life,
                Loan Management                            Billing           • 3rd Party service providers
                    Collections
                                                        Applications               Financial
                                                         Processed                 Processes
                  CREDIT REPORTING                                           • Account Validations
                  Total Applications, Referrals,
                  Approvals, Declines                                        • Check own Data
                                                                             • Disbursement
                  Management Reporting                                       • Global Exposure
                  Total Book, Loan Values, Monthly
House Keeping     Financials.                                                • Collections, D/O, ADOS

                                                          2017                                       Copyright © Octagon -2019
THE STATE OF CREDIT RISK
ANALYTICS
IN FINANCIAL SERVICES SURVEY
RESULTS
 Who we spoke to
In July 2015, FC Business Intelligence conducted a survey of North
American Financial Services credit risk professionals

  There were over

125
respondents in total

This is the amount of time they
currently spend on analytics:

 NOT MUCH                   A SMALL          A MODERATE
    AT ALL                  AMOUNT              AMOUNT

             15%                      8%                    50%

                       THE MAJORITY                ALL OF
                         OF MY TIME               MY TIME

                                      25%                   2%
Key Findings from the Survey

87%
  of financial services
 industry agreed that
“Analytics is the biggest
game-changer for the credit
risk industry in 2014 -
                                          35%
2015”                                of credit risk industry
                                     professionals said that
                                    they have seen good to
                                  transformative results from
                                      the use of analytics

            $        100       37%
  100
  100       $        100       of credit risk professionals are
                               starting to see small rewards
                                 from analytics incentives

                                     72%       of credit risk
                                       professionals believe
                                 that there will be constant
                                 changes to their analytics
                                 platform moving forward
Q - Since 2010, how much has analytics
    changed credit risk in your organization?

                                                                            GO
Not much at all   A small amount   Stayed the same   Changed slightly   Changed dramatically

 6% 5%                              2%               30% 57%

 Q - Does your current data analytics strategy allow you to
     more effectively manage credit risk?
Q - Which of these roles are spearheading
         analytics in the organization?

                                                   Chief
                         Chief                 Executive
                                                 Officer
                                                           12%            Chief
                    Compliance
                       Officer
                                  10%                                    Credit
                                                                         Officer
                                                                                     15%
   Chief                                                                                     Chief
Financial
  Officer
            10%                                                                               Risk
                                                                                            Officer
                                                                                                      35%

                         9%                                                                2%
                                               4%                        3%
                          Chief                                                          Chief
                      Data/Analytics                                                    Operating
                         Officer              Chief                       Chief          Officer
                                             Marketing                Information/
                                              Officer                  Technology
                                                                         Officer

     Q - What are the top 3 challenges in deploying credit risk
         analytics within your organization?

                                                                         Accessing
                                                                 th                            th
            st                                              4          expertise and
                                                                                           5           Responding
                                                                                                      to regulatory/

      1                  2
                             nd

                                           3  rd
                                                                        identifying
                                                                          the right
                                                                       people for the
                                                                            job
                                                                                                       shareholder
                                                                                                       expectations

    Enterprise-       Modelling        Restructuring
                       data and                                  th                            th         Stress
   wide analytics
    integration       employing
                      predictive
                                        siloed data
                                        and legacy
                                          systems
                                                            6            Applying
                                                                       new software
                                                                        and system
                                                                                           7           testing and
                                                                                                       responding
                       analytics                                                                          to risk
                                                                         solutions
                                                                                                        scenarios

                                                                 th      Sourcing              th
                                                            8             external
                                                                        structured/
                                                                                           9           Detecting
                                                                                                       fraud and
                                                                                                        privacy
                                                                       unstructured                    concerns
                                                                            data
Q - What are the top 3 drivers for employing new
    credit risk analytics within your organization?

 Minimized risk related losses
                                 72%
          Regulatory changes
                                 65%
 Maintain a competitive edge     43%
      Increased transactional
         speed and efficiency    40%
      Access to new analytics
                competencies     28%
      Customer expectations      20%
    Better customer relations    17%
       Company shareholder
             requirements
                                 15%
(BPM) Business Process Management
                            Cradle to Grave

Credit Application

                         Application
                                        Quotation
                          Capture

        Credit Vetting

                           Credit
         Min Policy                                  Affordability
                          Bureau       Fraud Check
           Rules                                        Check
                          Enquiry

        Authorization

                          Contract      Account
          Approval                                   Disbursement
                         Generation     Creation

       ACCOUNT MANAGEMENT & MONITORING
           COLLECTIONS, DEBT REPAIR

                                                                     Copyright © Octagon -2019
Hmmmmm

         Copyright © Octagon Business Solutions -2019
Why use Octagon

   Registered reseller Credit bureau NCRCB43
   +-1000 companies use our software products
   Specialist’s in all forms of finance, Micro to Home Loan.
   Octagon Gateway switches +-12 million transactions per annum
   Process credit applications +- R500 million per month
   Approximately R8 Billion under management
   Automatic approvals within 30 seconds
   Consistently applies business & credit strategy uniformly
   Full MIS reporting and Performance statistics.

                                                     Copyright © Octagon Business Solutions -2019
Records
   Credit provider must maintain the following
    information – for 3 years after the termination of the
    agreement or decline of application

    – Consumers full name and surname
    – ID or passport and date of birth
    – Date granted, amount, instalment amount,
      number of instalments
    – Defaults
    – Date terminated and reason

                                                    Copyright © Octagon -2019
The Road Ahead
                 Copyright © Octagon Group -1998
Questions
“The most fertile source of insight is hindsight.”
Morris Kline (Mathematics: The Loss of Certainty, 1980 )

“May you have the hindsight to know where you've been,
The foresight to know where you are going,
And the insight to know when you have gone too far.”
Irish Blessing
                       Thank you
                                                      Copyright © Octagon -2019
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