Introduction
Research shows that data intelligence will cross $30.9 billion in valuation by 2022. Today, over 60% of companies concur that organizational culture has become a major obstacle and business intelligence and data analytics are in the spotlight.
An extensive online financial report affirms that over 62% of organizations improve their overall efficiency and make effective business decisions through data analytics. In 2022, the future-centric analytics team has started to shift from conventional AI tactics.
But this move often brings more challenges for business leaders and executives. The good news is that 2022 brings impressive data analytics tools and trends that are bound to help companies to make a swift transition. Now, without further ado, lets’ take a look at the top data analytics trends in 2022:
Foundational Data Fabric Framework
Data is bound to get more complex and this is where the fabric framework comes into play. This fabric framework allows data analytics to combine a wide range of data integrations. Ultimately, the data fabric framework cuts down maintenance, deployment, and overall design time. At the same time, data fabrics are more than capable to pair current data with future-proof technologies and tools.
Scalable and Smarter Use of AI
Unlike traditional models, it is high time for analysts to integrate smarter and scalable AI solutions to meet data analytics needs. Since COVID-19, the business landscape is never the same and the need of the hour dictates for more concentrated and intelligent use of data analytics. The pairing of data analytics and artificial intelligence is adaptable and allows businesses to get high ROI.
Composable Data Analytics
In 2022, you can expect to see more use of composable data analytics that brings more collaboration and cooperation. It is the best way for an organization to expand its analytic capabilities. It is the main reason businesses leaders and executives now want to integrate data insights with business actions to render a usable and user-friendly experience. The trick is to combine various aspects of diverse AI systems, data, and analytics.
Rise of XOps
XOps involves model, platform, machine learning, and data that allow scalable prototypes and ensures agile and flexible decision making. This governance ensures repeatability, reusability, and reliability and cuts out duplicated tech processes through automation.
Wide Data and Small Data
Small data analytics models offer useful information but with fewer data concentrations. With data, on the other hand, wide data ties together with extensive structured and unstructured data sources. Since organizations have started to deal with complex AI information and queries, there is an urgent need for contextual awareness to ensure logical decision-making.
Mainstream Adoption of Business Intelligence Technologies
2022 will witness more mainstream adoption of business intelligence technologies that can grow into business services, manufacturing, and consumer services. When it comes to consumer services and business services, Dresner’s Business Intelligence study highlights that there is a significant increase in the use of business intelligence solutions in 2022.
Engineered Data Intelligence Decision-Making
In 2022, more organizations will leverage engineered data intelligence to drive result-oriented business actions. Engineered data intelligence also allows companies to group their business processes and networks for future decision-making. Organizations can reengineer and rethink processes to further optimize decisions to ensure more traceability and accuracy.
Augmented Customer Experience
Predefined dashboards and manual data insights are thing of the past. Instead, 2022 will see the rise of conversational, dynamic, mobile, personalized, and automated data insights. The automated and customized needs of users will be centralized and accessible for anyone in the company. Similarly, you can expect data analytics tools to shift from conventional data centers to cloud environments to cut out or at least minimize latency issues. And more data-centric tools mean more value of data in real-time.
Use of Visual Graph Technologies
Whether you realize it or not, there is a new paradigm shift in data analytics in the form of graph technologies. Data analytics will include more attractive graph technologies that will serve as the foundational data for organizations. After all, graph technologies can improve user collaboration, ensure scalable AI, and integrate machine learning models.
Sum Up
Data continues to help organizations deliver more value. With factual decision-making and expanded product offering, data analytics has become central for businesses to maintain a competitive edge in the market. The same data allows companies to garner more interest of customers and establish a robust market position for years to come. From scalable AI to engineered business intelligence, there are some impressive data analytics trends on the horizon that are expected to skyrocket in 2022.
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IDA is 2022’s breakout solution incorporates a lot of the projected trends rooted in its design, features and capabilities. Find out more on how IDA’s design evolution is changing the way you interact and access your data.
Data Analytics
REFERENCES:
- https://www.datamation.com/big-data/data-analytics-trends/
- https://www.datapine.com/blog/business-intelligence-trends/
- https://www.forbes.com/sites/alteryx/2021/05/13/5-leading-data-analytics-trends-you-should-know-about/
- https://www.gartner.com/smarterwithgartner/gartner-top-10-data-and-analytics-trends-for-2021
- https://www.eweek.com/big-data-and-analytics/data-analytics-trends/
