As CEOs plan their growth strategies for the year, establishing a data-driven culture is a top priority. In 2022, more businesses are expected to lean into AI solutions to revolutionize their analytics approach, making it easier for more stakeholders to respond quickly.
There will be significant shifts in how enterprises want to receive business intelligence services (BIS) in 2022 and beyond. Here are three to keep in mind:
Curating Collected Data
One downside of many business intelligence services is that they don’t offer a personalized experience. This can still be valuable, but we all know that different users have different needs. If a business wants to make the most of its data, it will need business intelligence services that are flexible enough to offer individualized experiences for other users.
To keep up with this trend, you will need to look for platforms that can curate data according to the users’ needs and those designed to be used by people with different levels of technical skill.
But it’s not just about the services. Management must also encourage the adoption and application of advanced analytics. That means ensuring employees know how to use the available BI tools and understand how these tools can improve their output. Having the right tools is essential, but you won’t get the full benefit of BI if people are not using them.
Gaining More Accessibility
Traditionally, business intelligence services have involved people sending queries to an analytics team, who would then create reports and provide feedback. While you might have had a standard dashboard that displayed some relevant data, you would need to go through the analytics team if you wanted anything beyond that. This often created bottlenecks and made insights less accessible to average users.
One of the most significant shifts in BI is that it is now designed to bring average users closer to insights. This is partly done by using natural language processing (NLP) to make the information more accessible. With NLP, users can query the system through its natural language. When they see that they can search data using keywords or ask simple questions without needing any expertise, users will be more likely to adopt a tool that will provide the insights they need without having to go to someone else for answers.
Prioritizing the Why
Most business intelligence services today are focused on analyzing data from the past. This can be helpful, but it’s no longer enough. Companies need business intelligence services that can answer why something happened, suggest what to do, and predict what may happen in the future.
You need a BI system that can do more than aggregate and compute data to benefit from these data. This is why experts think many businesses are looking to augmented analytics as a solution. Business intelligence services that use augmented analytics can take data from several sources, identify trends, and connect the dots to reveal causation. Many even employ technologies like predictive and prescriptive analytics to forecast future events and deliver solutions.
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