Industry executives and experts share their predictions for 2022. Read them in this 14th annual VMblog.com series exclusive.
2022: The Year of Data
By
Cathy Grossi, vice president, product management, Accela
It
can be easy to start the new year with an endless list of new IT goals,
projects and implementations to pursue. However, top of mind for me is ensuring
that an organization has strong data capabilities. These are no longer "nice to
haves." To succeed in 2022, and more importantly, help to address some of the
broader challenges we're experiencing like responding to the pandemic and
improving equity, organizations need to prioritize data governance and using
data in creative ways.
Data Governance Will Be King
Keeping
data accurate requires data governance to be an integral part of the data
process. To do this effectively, organizations need to invest in resources and
create a cultural shift in how they think about data. This needs to be driven
by both the leaders in the organization and those who get value out of the
data. Many organizations are successful with data governance by incorporating
data governance into everyday processes and tasks. Even starting with small
changes can have a big impact. For example, city planners can update GIS or
utility data as part of their plan review process, or inspectors can update
country property data as a regular part of an inspection. Organizations can
also shift to a data-centric culture by ensuring everyone has access to the
data they need to make their jobs easier. Dashboards with key information and
publishing to relevant users can go a long way in helping everyone understand
the power of data.
Once
this culture exists, strong data governance can create countless new
possibilities for an organization. For example, data is critical to improving
customer experience. As more and more services are delivered online,
organizations need to use data to create a frictionless experience for
customers across different touchpoints. Data also provides a holistic view of a
customer across channels, email addresses, devices and timelines - creating a
single source of truth for each person. Understanding each customer or resident
is necessary to best anticipate their needs and boost engagement.
Machine Learning and AI WIll Maximize the Power of Data
More
organizations will also use machine learning and AI to leverage their data in
new ways, improve outcomes and automate manual processes to create new
efficiencies. Accela is working with government agencies to help them issue
more permits and business licenses without any human intervention thanks to
these technologies. One example of this is how some cities are automating the
solar permitting process, so that contractors can submit applications, request
inspections, view status updates, and pay outstanding fees remotely through an
online portal.
Such
systems also use algorithms developed from analysis of past data to determine
which applications meet the requirements for automated permitting. Not only
does this help us to be flexible as we respond to the pandemic, it also allows
for a more consumer-friendly experience and helps organizations to meet people
where they are - whether at home or on-the-go.
I've
also seen an interesting example of this in action. As communities look to
support their recovery efforts, these technologies can also improve inspectors'
efficiency. Agencies will analyze data from past inspections to identify high
risk facilities and understand how to best focus and address their workload.
This has helped communities to reopen strategically and chart their path
forward.
Data Will Be Critical to Creating Equity
Data
will also help organizations to determine if they are serving their customers
fairly. I'm seeing Accela's government customers use data in new ways to ensure
equity in their communities and drive necessary policy changes. For example,
data can be used to examine how many building permit applications are approved
or denied in specific areas of a city or across different demographics.
Understanding
if their basic level of service is equitable is a first step. If there are
discrepancies, organizations and agencies are digging deeper to find the
causes, such as specific policies or unbalanced resource allocation. This
empowers them to take immediate action to mitigate potential inequities and be
responsive to residents' or customers' needs.
Why
does this matter for tech leaders? We're seeing more and more calls to increase
data transparency - both with governments and private companies. Sharing data
with the public increases transparency, improves trust and reduces resource
requirements to fulfill these requests. For governments specifically, this also
allows the public to do their own analysis and draw their own conclusions about
government operations. However, to do this successfully, agencies need to
prioritize a simple and accessible user experience through things like data
visualizations and storytelling. Numbers in an Excel spreadsheet do not mean
much to most people - but there are many creative ways to translate these
findings into a meaningful story that customers and residents will appreciate.
Data
is certainly a science, but in the coming year, we'll also see it viewed more
as an art too. By looking at numbers and analytics with a curious and creative
perspective, organizations will be able to address some of our biggest
challenges, make meaningful changes and build stronger relationships.
##
ABOUT THE AUTHOR
Cathy Grossi
is Vice President of Product Management at Accela, responsible for platform
technologies, APIs, integration, GIS and data and analytic products. She has
more than 18 years of software industry experience. Prior to joining Accela,
Cathy served as Vice President of Product Management at Mercatus, a leading
provider of financial management software for private equity fund managers.
Prior to Mercatus she held product management roles at Ellie Mae where she led
teams to build the company's market-leading, SaaS-based mortgage origination
platform. She has also held other product leadership positions at enterprise
software companies and was a management consultant at Deloitte Consulting.
Cathy holds a BA and Masters in East Asian Studies and an MBA from the
University of Chicago, Booth School of Business.