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Qlik 2022 Predictions: Three trends that will shape the future of data and our world in 2022

vmblog predictions 2022 

Industry executives and experts share their predictions for 2022.  Read them in this 14th annual series exclusive.

Three trends that will shape the future of data and our world in 2022

By Dan Sommer, Senior Director, Global Market Intelligence Lead, Qlik

If the pandemic made one thing clear, it's that collaboration and business intelligence (BI) have become essential partners. This makes sense on paper, but it took months of social distancing, stay-at-home orders, and remote working for this to really sink in. With an urgent need to embed BI within productivity apps like Teams, Slack, and Zoom, businesses scrambled to pivot, evolve or simply keep up with the status quo. According to a report by PwC, more than three-fourths (78%) of CEOs think that remote collaboration is here to stay post-pandemic. This changes the way we do business.

In a world with challenged supply chains, data siloes and suboptimal outcomes, we need to take this collaborative dynamic a step further and interweave people with data and applications to create strong value-chains inside and between organizations. This is going to become more apparent and even more vital going forward. Let's take a look at how this will unfold. I here highlight three vital but emerging trends and what they mean for the future of business.

Collaboration Mining will make us come together like never before

With many businesses returning to the office or developing a hybrid work model, we are no longer bounded by the physical space constraints of traditional office work. As a result, opportunities have opened up for more collaboration with outside stakeholders, creating a world of possibilities that may have been ignored or missed before 2020.

If collaboration is embedded into the data and analytic workflows, as pipelines are created, it will open opportunities for stakeholders, regardless of the location, to take action earlier. Utilizing the derivative data and synergies generated in the collaborative value chain may very well become your next product. It can break down data silos that may have otherwise hindered business progression.

Graphing out the networks of collaborative workflows also offers a great opportunity for "collaboration mining". Just as we have learned to mine data and processes, organizations will mine the collaboration results to further improve the way we come together around data, networks and processes. What do the most collaborative workflows look like today? Can we optimize that even further? This in turn will bring decision intelligence to another level, as we can see who took what decision when instead of erasing it from the white board when everyone leaves the conference room. Gartner believes that a growing number of organizations - 30% by 2023 - will harness the power of the collective intelligence.

Frameworks will evolve to do more with data at a lower cost

Recently, we've seen an explosion of cloud data warehouses and lakes, which empower businesses to do more with their information, providing the opportunity to live-query significant amounts of data directly. This is an incredibly powerful tool for discovery, but it comes at a potential cost of both performance and cloud compute. Taking this into consideration over the next year, we'll gradually see more cost governance frameworks evolving, and organizations will begin to adopt a data management and analytics approach that's based on frequency and latency requirements. Instead of exclusively using live-query, they'll experiment with new ideas to improve efficiency.

Businesses can start by using a "heat map" of typical queries. If most of their questions are exploratory, they'll know that the majority of their queries can run in-memory. Other more coordinated queries may need to hit compute at the data-source level. They key should be to be able to toggle seamlessly between these two approaches.

Similar reductions can be made on the data integration side. For example, businesses will want to be free to select between continuously updating and merging data (incurring higher compute costs) and doing an aggregate view (with lower costs).

Application automation creates opportunities to interweave value chains

There will be less distinction between buy-versus-build in 2022 as businesses, partners, customers, and even competitors unite for joint initiatives amid the API economy, which has presented a new path to prosperity. With an opportunity to assemble and orchestrate, application automation is a strongly emerging area that removes the need to code application integrations, making the opportunity much more accessible to a wider variety of actors, which in turn will democratize new and innovative chains of automation, interweaving more collaboration and action.

As applications talk to each other the opportunity opens for in-the-moment insight and actions. Triggered directly by data-driven milestones in the workflow, with or without human involvement, automation ensures you capture more opportunities in fleeting business moments.

The ease of application automation creates a feedback loop with other trends, including the fact that it is now easier to add low-code AI and machine learning (ML) to augment data analytics pipelines.

Building on what we've learned for a successful 2022

With collaboration, data, applications and BI more intimately interwoven than ever before, their future is inextricably linked, paving the way for collaboration mining that will redefine the way businesses come together around data, networks and processes. Businesses will also learn that if they want to become truly data-driven, both insight velocity and cost-per-insight will increase, and they'll have to figure out how to run the right queries in the right place. Last but not least, the API economy has introduced new ways for businesses to unite around powerful value chains through application automation. These three trends will change the way we compete, putting a bigger onus on collaboration and positive, sustainable outcomes in 2022 and beyond.



Dan Sommer 

Dan Sommer is a Senior Director and global lead for Qlik's Market Intelligence Program responsible for the supply, demand, macro and micro picture. He also focuses on executive and strategic content, like data literacy, data-driven culture and trends in the industry. With more than 18 years' experience in the IT industry, Dan is a frequent keynote speaker, blogger, and columnist. Dan has previously held the positions of Research Director, Agenda Manager and Global Lead for BI and Analytics Markets at IT research and advisory company Gartner. During the ten years he spent as an analyst at Gartner, he specialized in markets, trends, competitive landscape evaluations and go-to-market strategies.

Published Friday, December 31, 2021 7:30 AM by David Marshall
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