Big data stands at the focal point of most modern businesses. What it does for an enterprise’s growth, its analytics does for the business’s development. The boom of business intelligence platforms (BIPs) and BI software requirements bear testimony. Data analytics services today are incomplete without self-service business intelligence tools.
As 2021 begins to end, we must start monitoring data intelligence service trends that are going to dominate 2022 and beyond. Let’s look at the innovations that will soon be turning data into insights.
Big data analytics solutions: what’s in store for 2022?
‘Veracity in versatility’ is the feature you should root for when looking for a BI SaaS tool in 2022. Smart analytics solutions help in driving insights and closing business decisions with adroitness. An efficient BI reporting tool also engages teams across your organization. Digital transformation becomes more of a culture change as a result.
According to Finances Online, 60% of companies feel that big data analytics improves process and cost efficiency.
In the digital COVID-19 world, 57% of C-suite executives have been exploring various data intelligence tools to stir business growth.
The years ahead are sure going to disrupt further roads to innovation. Here are the top 5 trends in data analytics services for 2022 and beyond.
1. Self-service analytics will strengthen man-machine partnerships
Modern data analytics service is the perfect blend of technical and human intelligence. And, self-service business intelligence tools are its manifestation. These tools equip you to glean actionable insights using a sound business intelligence platform. By generating real-time reports, they guide where to look and which areas to address first. The automation of data and analytics in recent times has made self-service BI tools even more pivotal in reducing costs of operation.
This process of fact-based decision-making is a smart business move. It’s going to stay around for some time now. It facilitates easy interpretation of data for your technical and non-technical teams alike. The rise of decision intelligence (hybrid of rule-based approaches and AI & ML-based modern analytics) is a classic case in point. So for the right analytical capabilities, make sure to opt for a self-service BI tool.
Big data will continue to be a big deal for businesses. Read how big data has been changing your industry.
The modern business milieu will continue to hustle – not only to know what data says today but also to know what data might be saying tomorrow. Goes without saying, predictive analytics is the game-changer that will continue to influence decision-making in the times to come. In 2020 itself, 52% of companies across the world used predictive analytics to optimize operations as a part of business intelligence platform solution.
Analytic process automation (APA) has accelerated both predictive and prescriptive analytics. X Analytics (a term coined by Gartner) will be clubbed with AI and other techniques in the recent future for predicting business crises and opportunities. Such business intelligence platforms would work by leveraging varied structured and unstructured data.
A sound big data enterprise analytics provider will continue to offer the convenience of operational reporting. Fast data analytics auto-generates comprehensive reports so that your teams can focus on core routine activities. Self-service BI tools assemble data from multiple sources for dynamic dashboarding.
The 5 biggest data analytics service trends for 2022 and beyond
The future belongs to cloud-native analytics. A sound BI solution provider must offer seamless data migration services from premise to your desirable SaaS cloud. The migration of legacy data should be equally coherent.
In the face of the pandemic, cloud operations will continue to be necessary for streamlining operations. According to Gartner, cloud-based AI will increase file-fold momentously by 2023. AI would be one of the top workload categories in the cloud. Cloud innovations from there on must complement your on-premise products platform/s.
Businesses will also go for in-memory computing for scaling data in real time and addressing storage limitations.
4. Advanced analytics will further the big data game
Present-day BI software requirements place prime importance on the inclusion of advanced analytics. Deliverables get optimized when your business intelligence platform supports advanced data management methodologies.
There are myriad advanced analytics modules that are going to frame the big picture in 2022. NLP & conversational analytics (that captures chatbot and audio data cues) and graph analytics (that leverages graphs) are some examples of this. Your BI software requirements must be in line with the latest analytical deployments.
5. Data will be more mobile and visible in Augmented Reality
On-the-go access to data analytics will be a key component of futuristic data analytics services. With bookmarks, widgets, and Face ID enhanced security, mobile data analytics will help close business decisions faster than ever before.
Additionally, the fusion of Augmented Reality would help in viewing datasets and dashboards in interactive real-world simulations. This would make working on smaller screens both convenient and intuitive.
Impact of data analytics services – some statistics to know for 2022 and beyond
Incorta’s self-service business intelligence tool is the perfect mix of data visualization, reporting, and analytics. A simple Incorta integration helps to derive real-time business insights from complex datasets. With Incorta, you will be well-prepared for whatever the industry demands in 2022 and beyond – fast data loading, mapping, ETL processing, and more.
Watch Incorta’s expertise in big data analytics solutions.
Estuate is a premier Incorta implementation partner
Our Incorta engagement is driven by BI experts equipped with best-in-class partner support. We address 360-degree BI software requirements (from management to reporting). In the process, we support business journeys from being data-driven to being driven by insights. Be it for large digital transformation projects or smaller sandbox initiatives, our data analytics services are customizable for all.
- 300+ data platforms, analytics, and ETL projects
- 300+ archiving project rollouts
- 30+ in-house Incorta architects and platform engineers
- 20+ Incorta accelerators in visualization and analytics
- 15+ Incorta implementations
Here is a crisp compilation of our capabilities in the business intelligence arena.