Ten Mistakes to Avoid When Democratizing BI and Analytics
TDWI Member Exclusive
November 10, 2014
By David Stodder
Data “democratization” is a high priority for many organizations
as they seek to enable data-driven decisions and actions
throughout their enterprises. Firms want to expand the user base
for business intelligence (BI), analytics, and data discovery so
more users can move beyond uninformed, “gut feel” decision
making. Users are clamoring for tools that will improve upon
canned reports, limited spreadsheet views, and the general
information chaos that can make data more of a burden than a
blessing.
Today, BI, data discovery, and analytics technologies are
maturing to enable users to work with data without the usual
hand-holding by IT developers and data managers. The danger,
however, is that those easy-to-use, self-service technologies will
lull organizations into overlooking important concerns as they
deploy tools far and wide.
This Ten Mistakes to Avoid focuses on helping organizations
ensure satisfaction as they democratize BI and analytics. It
recommends a balanced approach for meeting user needs while
addressing the necessities of data governance and management.