Industry executives and experts share their predictions for 2023. Read them in this 15th annual VMblog.com series exclusive.
Metadata, the Data Market Revolution, Data Lineage for Economic Uncertainty, and More Data Predictions for 2023
By Jan Ulrych, VP of Research and
Education at MANTA
We are at the edge of a major
revolution in data-organizations have accumulated massive amounts of data
throughout their pipeline, but the question is: what do we do now? 2023 will be
a pivotal year for organizations to take action on their data, here are a few
ways how:
1. Metadata
Will be Driven by Data Lineage
Metadata is the most notable data strategy trend today.
However, it's not just about collecting metadata, but unlocking its power
through activation. Data lineage is the foundational type of metadata, with the
ability to deliver the most powerful benefits. When done right, it can enable
automated and intelligent data management practices.
2. Data-driven
Organizations Will be Forced to Fill Gaps in Their Data
Infrastructure.
Organizations are becoming more data driven and people are
relying on data to make informed decisions. However, true data-driven culture
is nearly impossible, at least for enterprise organizations, thanks to growing
complexity of data infrastructure. As a result, we expect more focus on people
and processes, as technologies can only go so far, with concepts like data
contracts or data mesh. We are also seeing automation in every flavor across
all disciplines of data management, converging to concepts like active metadata
and data fabric.
3. The
Data Market will Evolve as Large Enterprises Drive Change.
The last ten years has been all about cloud and modern data
stacks with the rise of technologies like dbt, Snowflake, Databricks, and
others. While this trend is extremely impactful for smaller and mid-size
organizations since they have a really simple way to start a data platform in
minutes, larger enterprises have a different set of challenges mostly around
modernization, change management, and governance. This is where data lineage is
beginning to play a critical role.
The data market today is extremely fragmented and one of
the big questions, especially considering the recession, is if and how it will
consolidate. We may see a lot more mergers and acquisitions in 2023.
Additionally, we expect more evolution on the non-technology side with data
contracts, data mesh, and/or advanced federated governance processes, as that
seems to be the next obvious step on the data journey for any mature data
organization.
4. Lineage-led
Strategy Will Dominate as Businesses do More with Less.
Data is a huge asset for any organization if done right. In
order to make the most out of your data, organizations must build a data
culture where people are actually able to understand and trust their data. Data
lineage plays an important role in bringing tech and non-tech people together
and is a great tool to help everyone to understand key data entities and how
they impact the overall organization. We call this a lineage-led approach.
Right now, Enterprises are being forced to improve internal
efficiency and look for ways to reduce costs while increasing performance. As a
result, lineage-led automation for digital transformation, change management,
data privacy and quality is something we expect to see way more next year to
help businesses do more with less.
5. Data
Lineage Will Become a Critical Tool as Businesses Evaluate Budget Spend.
Organizations will weather economic turbulence in 2023 and
will rely on data lineage to enable cost savings and competitive intelligence.
Data lineage improves visibility and transparency for data architecture,
reducing the time needed when analyzing, planning and implementing changes,
chasing incidents, or running bigger modernization projects. It provides
significant cost savings by powering data fabric and enabling higher levels of
automation around change management, incident management and data pipeline
development. During a time when it's more important than ever for organizations
to have trust in their data, offering users a clear view on data's origin and journey,
especially when combined with data quality and privacy, will be critical in
powering the next wave of digital transformation projects.
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ABOUT THE AUTHOR
Jan Ulrych is the Vice President of Research and Education at MANTA with over 10 years of experience in data management and governance. He is a recognized integration architect who supports metadata management, data integration projects and technical pre-sales. Ulrych has worked in both business development and customer success, offering a unique perspective and understanding of each customer's complex story. He holds a master’s degree in computer science from Charles University.