CJMYAs the world traverses further down the road of technological advancement, we are getting to understand data analytics even better. Now brands are aware of several use cases of data analytics. Enterprises are no longer limited to what they can achieve with data analytics. Depending on the company’s specific needs, data analytics can be applied in a range of ways. This has led to the rise of several emerging trends in data analysis that are worthwhile to look at. However, to establish these trends, you will have to employ the right data analytics tools as a brand or marketer. Below are some of the emerging trends you should look out for in the coming days.
1.Data-Driven Customer Services
With companies taking to digital marketing, there is heavy competition in the digital realm. Many companies are offering superior customer experience (CX) to differentiate their services from major competitors. This trend has not only encouraged better customer experience across all industries but also brought closer alliances between IT, customer services, and marketing managers. The success of CX can e highly attributed to its dependency on insights and intelligence provided by data. Personalization, an emerging trend from which brands are sourcing data to provide target customer services, is becoming a leading priority to many enterprises.
2.DevOps and DataOps
For efficient business decision making, businesses are finding it necessary to put processes in place to ensure that data is readily available and that it can be processed and moved automatically in a continuous manner. This is why emerging practices like DevOps and DataOps are becoming increasingly popular among many enterprises. These practices are able to deliver continuous delivery and continuous integration. DataOps is concerned with developing a data-oriented methodology that cuts on the time cycle of data analytics while DevOps facilitates the delivery and development of application releases. Lately, organizations have been increasingly using these methodologies to rapidly access the latest technologies and stay ahead of the competition.
3.Intensification of The Drive Towards Data Quality
As businesses become increasingly reliant on data, the need to trust the data generated is high. Data quality goes further than sourcing or accessing data to how it is managed and stored. There are currently many tools in the market that ensure data quality, even at granular levels. However, there is still a need to adopt a process that encompasses data policies and timeliness. Part of this need is generated by the assurance required by decision-makers on the quality of their real time analytics. Most marketers also need to be assured that AI systems are generating the highest quality data possible.
4. Artificial Intelligence and Machine Learning
No emerging trends list on data analytics can be complete without including machine learning and artificial intelligence. BI reporting, which has been around for several decades, is slowly being replaced with AI. Artificial intelligence is becoming more popular because of its capabilities to provide decision-makers with real-time updates and insights on developments or changes within specific enterprise areas. It reduces the need to have human intervention, and thus, more analytics-driven decisions can be made. Machine learning is improving the businesses’ ability to adapt to changes or developments within the industry.
5. More Self Service
Businesses are witnessing a growth of the need for end-users to ask questions through their own queries without having to request reports at any time of their data. Vendors are responding to the need for flexibility by developing more superior user-empowerment offerings and tools. On the other hand, organizations have established the need and are creating better policies and frameworks to ensure better management of the process of acquiring and integrating user-generated data.
Now more than ever, business success has been closely tied to data. This is why it is very important that you only employ the best data analytics tools to maximize on the emerging trends and opportunities fully. NetbaseQuid is a powerful analytics platform that offers a package of several data analytics tools. These tools can be used individually or together to create a better-informed marketing campaign.
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