Irrespective of their size, businesses are certainly becoming data-centric today more than
ever before. To succeed in a data-driven economy, organizations have to invest in the key
trends in the space which can be aligned with the business goals. Data management is
driving successful organizations where actionable insights are extracted for better planning,
quicker innovation, and more efficiency in business operations. Data acts as a differentiator
for businesses and every organization has the potential to capture it and extract insights by
leveraging the right technologies.
Data enables organizations to take action with certainty, even with other surprises such as
pandemics, economic turmoil, war crisis, or natural disaster, that might occur. Data is the
lifeblood that is flowing through the veins of businesses and economies.
Organizations have to act quickly to benefit from the data-driven competitive advantage.
Here are some key data trends that describe the business landscape and drive growth in the
coming days.
Increase in demand for data democratization
Gone are the days when the power of data was in the hands of limited teams in an
organization. They were mostly data analysts, data scientists, or data engineers who were
equipped with the skills to interpret the data for business benefits. Other employees, a
majority who lacked the expertise and training to extract insights for decision-making could
not leverage the data for their tasks. In contrast, today with the advent of technologies,
even non-technical employees can comfortably work with the data without assistance from
experts. This data democratization empowers all employees within the organization to
equally gain from the process, irrespective of their technical expertise. In the coming year,
more democratized data will be seen across business environments and business units
including marketing, finance, HR, shopfloor, and frontline staff, among other functions.
This culture will give rise to streamlining internal processes, and creating higher quality products and services, leading to resource optimization and enhanced customer experience. Going forward, data democratization will be the best way to manage big data and extract its value.
Data-as-a-Service (DaaS) to gain a wider reach
DaaS technology uses the cloud to analyze and manage data. This can be leveraged for
business intelligence tools or data warehouses. Subscribers to this service can access, use
and share files on the internet. Data is industrialized and provided to the user on demand
by reusable data engines. The DaaS providers are curating and analyzing data from multiple
sources to customers as a package of services. The several benefits of DaaS include agility,
better data quality, and cost-effectiveness. With high-speed internet being used nowadays,
this service has the potential to reach a wider audience. This pay-as-you-go subscription-based model is convenient as organizations need not invest in building their own data
collection and storage systems and data science operations for several application types.
The market for DaaS will increase significantly in 2023.
Real-time data analytics to attract further attention
The steady growth of real-time data analytics in recent times is a clear indication of how
organizations value it. In 2023, more organizations across industry verticals will use the
technology across business units making it to the mainstream. Capturing insights from data
brings more advantages if organizations are aware of what is happening in real time than
otherwise. This real-time data is valuable and requires sophisticated and advanced data
strategies to analyze it and will provide the organizations a competitive edge. The
technology will have a greater number of users across sectors in the coming year. From
companies that are into financial services to the players in the retail sector, real-time data is
used to deliver better customer experience and forecast future market demands for
organizations across all industry verticals.
The growing importance of Data Governance as a discipline
With refined data now considered a key asset, organizations are required to follow all
relevant regulations to protect citizens from privacy violations. Data Governance as a
discipline involves a set of principles, policies, and principles that are designed to manage
and govern data throughout its lifecycle. An effective data governance framework will
establish the constant availability of the data while ensuring it is trustworthy and secure. In
2023, data governance will become a necessity for all organizations to follow, irrespective of
their activities and fields. Data Governance aims to enhance data security, and monetize
data besides leveraging it to make business decisions. It also supports meeting regulatory
requirements besides increasing the value of the data. A good data governance framework
should also define responsibilities and accountabilities for various functions. It should be
documented for relevant users across finance, sales, production, procurement, and legal
business units.
A McKinsey research report says that data-driven enterprises are 23 times more likely to
acquire customers, 6 times as likely to retain customers, and 19 times as likely to be
profitable as a result. Data is the heart of any organization or economy’s success in addition
to fueling its future growth and development. Data Science and Management are
undoubtedly augmenting human potential and driving higher business value. Data Analytics and Business Intelligence play a key role in predicting new trends, and identifying growth opportunities that lead to business continuity while enhancing profitability.
