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Gartner
Top Trends in Data and Analytics, 2022
By Rita Sallam, Ted Friedman, and 37 more
11 March 2022
Excerpt by
Joaquim Cardoso MSc.
The Health Revolution
Multidisciplinary Institute for Better Health for All
May 27, 2022
Excerpt of the Executive Summary
Top trends in data and analytics technology and practices can help anticipate change and transform uncertainty into opportunity.
Data and analytics leaders must factor these trends into key investments that drive new growth, efficiency, resilience and innovation.
OVERVIEW
Opportunities
- Connections between diverse and distributed data and people create truly impactful insight and innovation.
These connections are critical to assisting humans and machines in making quicker, more accurate, trustworthy and contextualized decisions while taking an increasing number of factors, stakeholders and data sources into account.
- CEOs’ highest priority is to return to and accelerate growth, but they must do so in an extremely uncertain and volatile environment.
Capabilities that enable navigating and responding to accelerated disruption across all aspects of the geopolitical environment, business, government and society are foundations of success.
- Prioritizing trust and security in these unprecedented times of global chaos is fundamental to the strategic role of data and analytics to realize new sources of value.
Recommendations
Data and analytics leaders looking for new opportunities for their D&A programs and practices should:
- Improve situational awareness to rapidly adjust to disruption and uncertainty by prioritizing investment in data and analytics diversity and dynamism, including
– adaptive AI systems,
– expanded data sharing and
– data fabrics.
- Drive new sources of innovation and value for stakeholders by implementing context-driven and domain-relevant analytics to be composed from modular capabilities by the business.
Addressing the scarcity of skills and hireable D&A talent is a top existential priority.
- Institutionalize trust to achieve pervasive adoption and value at scale by managing AI risk and security,
and enacting connected governance across distributed systems, edge environments and emerging ecosystems.
What You Need to Know
The past year has seen an accelerated pace of disruption across all vectors of business, government and society with the potential for even more profound shockwaves to come as a result of the Russian invasion of Ukraine.
The global health crisis has been displaced for the moment by a geopolitical one, and the combination continues to shift people’s priorities, their values and their roles as family members, customers, employees and citizens.
These conditions are driving extreme uncertainty, but also opportunity.
This will only accelerate.
CEOs’ highest priority is to return to and accelerate growth while faced with uncertain and highly fluid global political, economic and health realities and their impacts. 1
For organizations to thrive in this environment and realize value at scale, they need to optimize for a new value equation.
One which enables them to respond more quickly than their competitors to shifts in customer and employee values and accelerates new product, channel and business model innovations, particularly in response to macroeconomic and political disruptions.
At the same time, organizations must factor in new stakeholder demands for a response to geopolitical, sustainability and social justice issues.
These create new market dynamics, heated competition for talent, acute supply chain challenges, and renewed macroeconomic unknowns, such as inflation, new regulation and political shifts.
Increasingly frequent weather disruptions introduce yet another set of challenges and new risks.
Combined, these issues have made managing radical uncertainty the purview of the D&A leader, and a critical core competency for success.
It is vital for data and analytics leaders responsible for strategy and innovation to take action along three tracks set out in our analysis of the Top Trends in Data and Analytics for 2022 (see Figure 1):
- Activate diversity and dynamism by leveraging the rise of adaptive AI systems to drive growth and innovation while coping with fluctuations in global markets.
Innovations in data management for AI, automated, active metadata-driven approaches and data-sharing competencies, all founded on data fabrics, unleash the full value of data and analytics.
- Augment people and decisions to deliver enriched, context-driven analytics created from modular components by the business.
To make insights relevant to decision makers, organizations must also prioritize data literacy and put in place strategies to address the scarcity of hireable data and analytics talent.
- Institutionalize trust to achieve value from D&A at scale by managing AI risk and enacting connected governance across distributed systems, edge environments and emerging ecosystems.
Figure 1. Gartner’s Top Data and Analytic Trends for 2022
The top D&A trends represent business, market and technology dynamics that you cannot afford to ignore (see Table 1).
They have the potential to transform your enterprise, and will accelerate in their adoption over the next three years.
You should decide whether to proactively monitor, experiment with or aggressively invest in key trends based on their urgency and alignment to strategic priorities.
The top D&A trends and technologies do not exist in isolation; they build on and reinforce one another.
We have selected our trends for 2022 in part based on their combined effects. Taken together, our top data and analytics technology trends for 2022 will help you meet your organization’s top strategic priorities to anticipate, adapt and scale value.
This, in turn, will enable you to encourage innovation and put in place success metrics and incentives that emphasize learning and reward innovation.
Originally published at https://www.gartner.com
About the authors
By Rita Sallam, Ted Friedman, Erick Brethenoux, Donald Feinberg, Soyeb Barot, Lydia Clougherty Jones, Malcolm Hawker, Eric Hunter, Jason Medd, Robert Thanaraj, Melody Chien, Mark Beyer, Ehtisham Zaidi, Mayank Talwar, Pieter den Hamer, W. Roy Schulte, Paul DeBeasi, David Pidsley, Sumit Pal, Joe Maguire, Yefim Natis, Shaurya Rana, Guido De Simoni, Afraz Jaffri, Alan D. Duncan, Julian Sun, Gareth Herschel, Avivah Litan, Bart Willemsen, Svetlana Sicular, Farhan Choudhary, Sumit Agarwal, Mike Fang, Adam Ronthal, Andrew White, Carlie Idoine, Jorgen Heizenberg, Peter Krensky, Sally Parker
