Page 37 - Invited Paper Session (IPS) - Volume 2
P. 37

IPS178 Barend de Beer
            brand recognition should be seen as an explicit objective, which is based on
            the  usefulness  and  quality  of  what  statistical  agencies  does  and  this
            foundation should be augmented by specific tangible examples of the value
            of official statistics. Thus, in brand building, statistical agencies should: 1) Be
            more  assertive  about  adherence  to  the  Fundamental  Principles  of  Official
            Statistics  and  the  value that  this  generates;  2)  Promote  and publicize  how
            official  statistics  around  the  world  have  added  value;  3)  Formulate  and
            implement explicit brand recognition and promotion strategies; and 4) Take
            steps to cater for a wider and probably less informed range of users.
                Brand  building  by  various  statistical  agencies  worldwide  has  increased,
            examples are Statistics Canada promoting their work with the slogan “Serving
            Canada with high-quality statistical information that matters!”, and Statistics
            New Zealand with “Unleash the power of data to change lives!”. The Bank of
            Portugal (2017) contributes to branding awareness through publications such
            as “Making sense of central bank data – The Banco de Portugal’s experience
            in  communicating  statistics”.  The  central  hypothesis  of  the  authors  is  that
            “numbers alone do not tell a story – to mean something, their inner value must
            be brought to life”. Branding should enhance the awareness of the various
            stakeholders  as  to  the  inherent  value  of  the  statistics.  However,  building
            valuable  statistics  is  a  dynamic  process  and  to  understand  the  value
            proposition requires an assessment of the statistical value chain (SVC).

            3.  Stakeholder engagement through the statistical value chain
                The  macroeconomic  statistical  process  is  value  chain  driven  with  the
            ultimate  goal  of  generating  statistics  that  add  value  for  the  end  user.  Of
            paramount importance is the value proposition offered to users which requires
            an understanding of how value is added as the production process progresses.
            This poses the question: for whom do central bank statistical outfits build
            the value which is communicated through their value proposition? The
            conventional  view  would  be  that  this  is  done  to  serve  the  end  users  of
            statistics. However, this is short-sighted as it only directs attention to one of
            the numerous stakeholders throughout the macroeconomic SVC. To correctly
            appropriate  resources  it  should  be  acknowledged  that  end  users  only
            represent  one  of  the  stakeholder  groups.  While  the  previous  statement  is
            necessary, it is not sufficient in itself.  Before engaging in the topic of what
            might  serve  as  a  sufficient  stakeholder  engagement  framework  (SEF),  it  is
            necessary to acknowledge that as a first order priority it is no longer the sole
            discretion of the Bank to decide whether it wants to engage with stakeholders
            or not. Given changing socio-dynamics in the first 19 years of the 21st century,
            active stakeholder engagement has become a prerequisite and a necessary
            condition. Once acknowledged, it requires decisions as to when and how to
            successfully engage stakeholders, an activity which is premised on the notion

                                                                24 | I S I   W S C   2 0 1 9
   32   33   34   35   36   37   38   39   40   41   42