%0 Journal Article
%T Considerations for a Planned Democratizing Data Framework for Valid and Trusted Data
%A Tambe Mariam Takang
%A Austin Oguejiofor Amaechi
%J Journal of Data Analysis and Information Processing
%P 240-261
%@ 2327-7203
%D 2023
%I Scientific Research Publishing
%R 10.4236/jdaip.2023.113013
%X A key requirement </span><span style=\"font-family:&quot;\">of </span><span style=\"font-family:&quot;\">today¡¯s fast changing business outcome and innovation environment is the
ability of organizations to adapt dynamically in an effective and efficient
manner. Becoming </span><span style=\"font-family:&quot;\">a </span><span style=\"font-family:&quot;\">data-driven decision-making organization play</span><span style=\"font-family:&quot;\">s</span><span style=\"font-family:&quot;\"> a crucially important role in addressing such
adaptation requirements. The notion of </span><span style=\"font-family:&quot;\">¡°</span><span style=\"font-family:&quot;\">data democratization</span><span style=\"font-family:&quot;\">¡±</span><span style=\"font-family:&quot;\"> has emerged as a mechanism with which organizations
can address data-driven decision-making process issues and cross-pollinate data
in ways that uncover actionable insights. We define data
democratization as an attitude focused on curiosity, learning, and
experimentation for delivering trusted data for trusted insights to a broad
range of authorized stakeholders. In this paper, we propose a general
indicator framework for data democratization by highlighting success factors
that should not be overlooked in today¡¯s data driven economy. In this
practice-based research, these enablers are grouped into six broad building
blocks: 1) ¡°ethical guidelines, business context and value¡±, 2) ¡°data
leadership and data culture¡±, 3) ¡°data literacy and business knowledge¡±, 4)
¡°data wrangling, trustworthy &amp; standardization¡±, 5) ¡°sustainable data
platform, access, &amp; analytical tool¡±, 6) ¡°intelligent data governance and
privacy¡±. As an attitude, once it is planned and built, data democratization
will need to be maintained. The utility of the approach is demonstrated th</span><span style=\"font-family:&quot;\">r</span><span style=\"font-family:&quot;\">ough a case study for a
Cameroon based start-up company that ha</span><span style=\"font-family:&quot;\">s</span><span style=\"font-family:&quot;\"> ongoing data analytics projects. Our findings
advance the concepts of data democratization and contribute to data free flow
with trust.
%K Data Democratization
%K Trusted Data
%K Design Process
%K Digital Innovation
%K Literature Reviews
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=126338