9 Business Intelligence Trends in 2024 You Can’t Ignore

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Written By Haisam Abdel Malak
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In the ever-evolving landscape of data-driven decision-making, staying up to date with the latest business intelligence trends has become not just a strategic advantage but a necessity for organizations aiming to thrive in today’s competitive markets. Coupled with the best BI tools, you can rest assure that you are getting the most out of your most valuable asset “data”.

In recent years, there have been significant advancements in BI, driven by the rise of big data, machine learning, and artificial intelligence. Understanding the elements of BI has helped businesses reap the benefits of BI by acquiring more insights from their data, optimizing their operations, and making more informed decisions.

The latest business intelligence trends are:

latest-Business-intelligence-trends

1- Artificial Intelligence and Machine Learning

AI and machine learning are giving business intelligence cycle the power needed to enable organizations analyze large datasets and identify patterns in minimum time. Without AI-powered business intelligence, we would not be able to easily detect patterns and understand our collected data manually.

As we speak, there is a big race happening in AI between two of the major companies (Microsoft and Google) to dominate the future. Organizations should always watch the AI roadmap and how it influences business intelligence trends in order to stay viable and continue evolving.

2- Self-Service BI

With the introduction of self-service BI, businesses are able to generate custom report in real-time and analyze data without any interference of the IT department. This has shifted the power to normal users that are in need to analyze their data the way it fits them without complications.

Previously, employees from different departments would have request specific reports based on the data they need from the IT department. They didn’t have the flexibility to generate their own report making the process less efficient to make data-driven decisions.

Self-service BI empowers more people to make data-driven decisions. When only a select few in an organization have the technical expertise to analyze data, it can lead to bottlenecks and a reliance on a limited set of perspectives. Self-service BI tools democratize access to data, making it possible for more people across the organization to draw insights and make informed decisions.

3- Data Governance and Data Quality

The number of data generated by organizations is going to grow and that will require more data governance and data quality assessments to ensure that data is accurate, consistence, and trustworthy.

Proper data governance and quality are essential for effective business intelligence because they ensure that the insights and decisions drawn from the data are accurate and trustworthy. If data is inaccurate, incomplete, or inconsistent, it can lead to erroneous conclusions, flawed strategies, and missed opportunities.

4- Data Visualization

One of the most important business intelligence trends is evolving data visualizations tools to make it easier for non-technical users to present data in visual formats such as charts, graphs, and dashboards.

This could only happen when users were given advanced systems that will allow them to understand and interpret complex data, identify patterns and trends, and make informed decisions based on the insights gained from the data with the most flexible and customizable interface.

There are also some potential challenges associated with data visualization. For example, if the data is poorly designed or presented in a confusing or misleading way, it can lead to misinterpretations and inaccurate conclusions.

5- Cloud-Based BI

Cloud-based BI is becoming increasingly popular specially after COVID19 pandemic as it offers scalability, cost-effectiveness, and flexibility. With cloud-based BI, data is stored and processed on remote servers, allowing users to access and analyze data from anywhere, at any time, using an internet-connected device and organizations will be prepared for any disruption is the future.

However, some organizations are doubtful of migrating to the cloud as they have some concerns related to data privacy and regulatory compliance. That is why they need to carefully evaluate the benefits and risks related to their cloud movement before making a decision.

6- Predictive Intelligence

One of the most talked-about subjects among business intelligence experts is predictive intelligence. It can serve as a valuable tool for businesses to comprehend potential results and provide guidance, making it a possible primary focus of business intelligence in 2023. Nevertheless, to generate recommended alternative scenarios and effective risk management, a company must collect sufficient data and create dependable predictions for the platform.

In the near future, businesses are likely to use predictive intelligence more often to help them identify opportunities and challenges. As companies become more familiar with the benefits of predictive intelligence, they will find more ways to use it, and it will become an even more important part of business intelligence.

7- Collaborative BI

Collaborative business intelligence (BI) is a critical trend in today’s business world because it enables organizations to effectively leverage the collective intelligence of their employees.

With the amount of data generated by businesses increasing at an exponential rate, it’s becoming increasingly important to empower employees with the tools and knowledge to make data-driven decisions.

Collaborative BI facilitates this by breaking down data silos and enabling employees to work together, bringing together teams with different skills and perspectives to jointly analyze data and draw insights.

This approach can lead to better and more comprehensive decision-making, and can improve overall organizational performance, making collaborative BI a critical trend in modern business intelligence.

8- Mobile BI

This trend addresses the evolving needs of a workforce that is increasingly on the move and requires real-time insights to make timely decisions. Mobile BI enables professionals to stay connected with their business data, collaborate with colleagues, and respond promptly to changing scenarios, irrespective of their physical location.

The convenience and accessibility offered by mobile BI empower decision-makers to be more agile and responsive in today’s fast-paced business environment. While mobile BI offers increased accessibility and convenience, it also presents challenges for organizations.

9- Data Storytelling

It focuses on the practice of conveying insights and information through appealing narratives and data visualizations. Data storytelling in business intelligence is presenting complex data in a way that is easily understood, interesting, and actionable for a wider audience.

Data storytelling should be implemented as a best practice since it improves the effectiveness of data-driven decision-making. Narratives and visualizations that are well-crafted not only clarify complex material, but also make it more memorable and convincing.

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