HOUSTON, July 24,
2024 /PRNewswire/ -- BMC, a global leader in software
solutions for the Autonomous Digital Enterprise, today released
findings and analysis from its survey and corresponding report,
Putting the "Ops" in DataOps: Success factors for
operationalizing data. This second annual survey of IT
decision-makers provides insights into how enterprises can assess
and enhance their data maturity strategy to use data for
competitive advantage. A complementary data maturity assessment
also allows companies to evaluate their status and provides
suggested next steps.
As organizations strive to capitalize on their ever-growing data
trove to scale their operations and improve business outcomes, the
study found that only 17% of data ingested or landed consists of
emergent data types, and only 9% of that data is processed or
analyzed. This signals a significant opportunity to benefit from
emergent data types critical for initiatives like generative AI,
LLMs, FinOps, and sustainability.
To help enterprises better understand and assess their data and
DataOps strategy, the study defined four maturity levels,
including:
- Developing – discovery phase with strategies in their infancy,
and practices and architecture not closely aligned to business
outcomes.
- Functional – growth phase with strategies primarily developed
and some high-priority practices and architecture linked to
business outcomes.
- Proficient – adolescent phase representing a fully established
strategy with nearly all practices and architecture linked to
critical business outcomes.
- Exceptional – innovation phase with a perpetually optimized
strategy, practices, and architecture that generates competitive
differentiation and business value.
DataOps strategy is closely aligned with data management
maturity. Of those respondents with exceptional data management
maturity, 27% stated they use DataOps methodologies across their
organization to support all data-driven activities. In comparison,
those with proficient maturity levels reported 19%, and functional
and developing levels stated 15% and 10%, respectively. Even among
organizations with exceptional data maturity, only 41% report
having "high maturity" for data pipeline and application workflow
orchestration functions.
Higher data management and DataOps maturity are linked to higher
reported adoption and success with data-driven activities.
Seventy-five percent (75%) of those with mature practices have a
Chief Data Officer, while only 54% with less mature practices
do.
Challenges Obstruct Flow of Data
Multiple challenges
continue to impact the flow of data in businesses, including those
related to people, processes, and technology. These include a lack
of skills (48%), human error and mistakes (43%), limitations on
scalability (40%), and a lack of technology automation (43%). A
lack of automation can exacerbate a lack of skills, while an
appropriate use of automation can amplify skills already
available.
"AI and data are in a cosmic dance, and data challenges are
increasing dramatically in the AI era," said Ram Chakravarti, chief
technology officer at BMC. "This study highlights how organizations
with mature data practices can achieve better business outcomes.
Implementing DataOps methodologies to enhance collaboration and
operational efficiency, maintaining high data quality through
pragmatic investments, and developing robust data pipeline
orchestration systems can help unlock value at scale."
BMC commissioned 451 Research, part of S&P Global Market
Intelligence, to conduct the survey in late 2023, sourcing
insights from 1,100 IT, data, and business professionals from large
enterprises in diverse global regions across multiple industries in
eleven countries.
Additional Resources
- Download Putting the "Ops" in DataOps: Success factors
for operationalizing data
- Take the complementary data maturity assessment
- Learn more about DataOps from BMC
About BMC
BMC empowers 86% of the Forbes Global 50 to
transform digital operations into opportunity. Our leading
portfolio of AI-enabled software connects data, automation, and
observability across the business, enabling each customer to become
an Autonomous Digital Enterprise ready to seize competitive
advantage in a world of constant change.
BMC, BMC Software, the BMC logo, and other BMC marks are the
exclusive properties of BMC Software, Inc. and are registered or
may be registered with the U.S. Patent and Trademark Office or in
other countries.
©Copyright 2024 BMC Software, Inc.
www.bmc.com
Editorial Contacts:
Sheila Watson
BMC
ExtComms@bmc.com
View original content to download
multimedia:https://www.prnewswire.com/news-releases/bmc-study-shows-opportunity-for-enterprises-to-expand-use-of-emergent-data-sources-for-initiatives-including-generative-ai-llms-finops-sustainability-302204791.html
SOURCE BMC Software