Anti-Predictions: 8 Future-proof Analytics Trends for 2022 and Beyond

Blog: The Tibco Blog

Reading Time: 3 minutes

What’s an “anti-prediction?”

An anti-prediction is free of buzzwords and crystal ball prognostications. Anti-predictions denote clear industry trends. Those that intersect at the needs of businesses now—in a world where “new normals” have become the norm—while reckoning with the amazing potential and disruptive payload of bleeding edge technologies.

So as you plan, ponder, and prepare to hit the new year running, we bring you our top “anti-predictions” for 2022 and beyond.

The Analytics Trends That Will Matter Most

If there is an overarching theme here, it is simply this: the need to move from insights to action. Lack of data is no longer the problem. Maximizing the value of all that data to make better, faster, and more informed decisions in real-time…that’s your challenge.

Composable Applications

Top performers assemble low-code composable applications from pre-built components: “snap, click, create.” This enables an enterprise to leverage its existing data, dashboards, and reports to quickly build applications that can launch workflows and trigger actions.

Highly scalable, composable analytics applications encourage the democratization of innovation, creating new business opportunities and adding new value.

Decisioning, Re-imagined

The demand on business leaders for rapid decision-making has never been greater. Yet, most data used for decision support isn’t actionable when or where decision-makers actually need it—which is at the moment of decision. Rearchitecting decision management models to a decision-first model is needed, as this short video on decision management reveals.

Enterprise architects and CIOs must design workflows, machine learning, and data management tools to enable their organization and leadership to go from insight to action in real-time.

Data Fuel for Optimization Loops

Sensors, smart devices, and the Internet of Things (IoT) drive performance gains. Take the example of Siemens Mobility. The company collected every bit of data available, much of which was in sensors on the edge or on trains out servicing customers, and used it to optimize maintenance efforts. The result: lower costs, more trains running, happier customers.

The “data exhaust” from IoT and smart devices is the fuel for positive optimization loops.

Distributed Enterprises Embrace New Approaches

Hybrid work, franchising, economies of scale, and other meta trends are driving the growth of the distributed enterprise. Data is accessed and acted upon from a mix of sources and locales. New approaches to work and service delivery demand analytics tools to match.

Hyperautomation Meets Hyperconverged Analytics

Hybrid work, AI, and IoT are all pushing businesses toward “hyperautomation.” That’s the good part. The bad part: just 7 percent of enterprises are advanced in their “insights-driven” capability.

To jump from data to insights to action, businesses must turn to what we call hyperconverged analytics—the tools that bring together data science, streaming capabilities, and visual analytics in a seamless view.

AI Regulation is Coming

Wherever there is data, expect AI to follow. This includes everything from pricing algorithms and chatbots to autonomous vehicles. Can you trust it? The proposed European Union Artificial Intelligence Act (EU AIA) includes various rules, definitions, and financial penalties around the use of AI. Think of it like GDPR, only for AI.

Start preparing now. Ensure all your (current and planned) AI deployments are in compliance.

Data-driven Fairness and Equity

Data, algorithms, and machine learning can deliver more equitable outcomes for customers and organizations. Not only is this a good thing, but it’s also a way to reduce risk and liability. However, this requires better model management and governance processes throughout the analytics lifecycle.

With the right people, processes, and tools—and the right analytics platform—data can support better outcomes for all.

More Of Everything

There are more users, literally billions more, thanks to 5G, satellite Internet, and mobile devices. Plus, more sensors, more streaming, more real-time, more of everything. All of it creating, consuming, and casting off data continuously, and in that data is a massive opportunity.

Disruption may be our new normal, but a data-driven, agile business that can assess what is happening in real-time, trigger predictive response, automate workflows and decisions based on both historical insights and current data streams, will win and win big.

Graduate From Insight to Action

If you enjoyed these “anti-predictions” you’ll love our newest webinar, “Four Ways to Graduate from Insights to Actions in 2022,” featuring Doug Henschen, Principal Analyst at Constellation Research.

The post Anti-Predictions: 8 Future-proof Analytics Trends for 2022 and Beyond first appeared on The TIBCO Blog.