There is no doubt that companies want to become more data-driven, and the future of modern business must take place in the cloud. Navigating a successful path to modernizing your business shouldn’t be a tumultuous project. Embedded analytics can become an absolutely indispensable tool available for use in your organization.
Data is no longer just for developers and data analysts, and successfully training other workers to use analytics helps boost agility and innovation.
Now that 2022 is upon us, let’s take a look at where the industry is going this year based on current trends regarding embedded analytics and business intelligence – and why it matters to you and your company.
Cloud Deployments Boosting Analytics
It cannot be argued that the future of business is cloud-based BI, with many BI elements already successfully migrating away from on-prem. Companies that deploy cloud-based services benefit from less IT support staff tasked solely to maintaining BI in their workplace. Users will have access to their BI tools whenever, wherever they’re needed, increasing accessibility with a less labor-intensive BI infrastructure.
I’ve seen a trend of software vendors investing in multi-cloud deployments in their infrastructure. Due to GDPR regulations and internal company rules, businesses won’t want to be locked into service with an individual cloud provider.
Predictive Analytics Under Pressure
Augmented analytics will be replacing predictive analytics, with augmented analytics able to add the context needed to make actionable insights into collected numbers and data. The use of machine automation and AI is extremely disruptive, able to quickly transform how data is collected, prepared, and shared so your employees are able to gain valuable insights. Predictive analytics has been abandoned by the BI industry, and prescriptive and augmented analytics is the here and now.
User Experience Drives Application Innovation
Data is critical to making decisions at a fast speed, and improving UX must always remain a priority. Companies must provide intuitive self-service capabilities that match skillsets for a wide variety of job roles, which eventually increases user adoption. We have witnessed a trend of poor user experiences with open-ended modes inside your applications. Applications must be configured to provide greater user accessibility.
Embedded Analytics: The Data-Driven Organization’s Choice
Traditional BI is an antiquated method that uses top-down models for data analysis and reporting – an approach that requires heavy IT supervision. Embedded analytics are the modern solution able to collect data which can be displayed within app dashboards in a user’s current workflow. As traditional BI continues to age, we should see added embedded analytics adoption to help users work in a changing environment.
The application has evolved from being a tool into a comprehensive solution that must cater to changing user demands. Being able to remain in the application ushers in a streamlined experience that was unavailable in archaic traditional BI tools.
BI is constantly changing and evolving at a rapid pace, with companies unable to afford delays in the transition towards self-service embedded analytics. Implementing embedded analytics greatly improves visibility, offering immediate insights while also future-oriented opportunities to help your business successfully expand.
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