Our data integrity efforts are based on the following
interconnected principles:
Completeness
While our preference is that all data is provided by
institutional investors, we recognize that this is not always
possible. To be included in the CEM database, the data must be
unambiguous. We must be able to interpret the information
provided with context. Where we have incomplete data sets, we
observe the following:
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We treat incomplete data as missing, rather than as zero or
non-existent. Only where needed, we enrich the data.
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We only construct benchmarks from complete, known, and
relevant data points that do not require enrichment.
Comparability
We present all data and insights in a consistent context, across
all key dimensions of comparison. Where there are unavoidable
differences, we call them out.
Accuracy
We validate all data using a combination of our proprietary
tools and expertise. If in our professional judgment specific
data points are not of sufficient quality, we do not use them.
Confidentiality
We ensure that individual non-public data cannot be read nor
derived from publicly available CEM materials or CEM reporting,
current nor legacy. Any non-public, client identifiable
information that is shared is only done so with explicit client
consent.
Providence
While we encourage client commentary, we hold ultimate decision
rights on the structure of our analyses and application of data
within them.
Timeliness
We provide insights on a timely basis, corresponding with the
provision of the data from a client and its peers. We take all
necessary steps to provide reliable delivery dates.
Transparency
We disclose all areas where we have enhanced and/or enriched
data, including providing a summary of the approaches, and the
sources of the data used for the enhancement/enrichment.
Security
We take industry-standard precautions to ensure all data is
protected from potential threats. If/when there is an incident,
we act with pace, discipline, and open communication.
These principles are owned by CEM’s Data Governance Committee,
which comprises a group of CEM’s senior leaders and data
experts. They are reviewed at least once a year.