Trends in Business Intelligence

Artificial Intelligence

We will start our analysis of what is new in business intelligence with AI. This is a trend that is wildly being covered by Gartner in their latest Strategic Technology Trends report, combining AI with engineering and hyperautomation, and concentrating on the level of security in which AI risks developing vulnerable points of attacks.

Artificial intelligence (AI) is the science aiming to make machines execute what is usually done by complex human intelligence. Often seen as the highest foe-friend of the human race in movies (Skynet in Terminator, The Machines of Matrix, or the Master Control Program of Tron), AI is not yet on the verge to destroy us, in spite of the legit warnings of some reputed scientists and tech-entrepreneurs.

Self-service analytics

Industry analysts now predict that within two years, most business users in organizations will have access to self-service tools to prepare data for analysis. Such self-service BI solutions can transform business users from data consumers to active data analysts, reducing the time and complexity of data gathering and preparation, and shifting the monopoly on data extraction, processing, and visualization from IT to a model of data analysis across the organization.

Power BI is a complete self-service data analysis tool available right now, enabling all users to make smart decisions with data. Connect with ease to internal data sources and external data services, such as Microsoft Dynamics, Salesforce, and QuickBooks. Process data with drag-and-drop gestures. Use natural language to query datasets and create compelling visualizations. And share your reports with colleagues using content packs. Power BI is at the forefront of tools that help cultivate and strengthen data-savvy knowledge workers.

Data Security

Data and information security have been on everyone’s lips in 2021, and they will continue to buzz the world in 2022. The implementation of privacy regulations such as the GDPR (General Data Protection Regulation) in the EU, the CCPA (California Consumer Privacy Act) in the USA, and the LGPD (General Personal Data Protection Law) in Brazil have set building blocks for data security and management of users’ personal information.

Moreover, the recent overturn by the European Court of Justice of the legal framework called Data Privacy Shield hasn’t made software companies’ life much easier. The Shield was a legal framework that enabled companies to transfer data from the EU to the USA but, with recent legal developments causing the invalidation of the process, companies that have their headquarters in the US don’t have the right to transfer any of the EU data subjects.

Data integration

Increases in data volume, velocity, and variety is fueling a trend toward comprehensive BI solutions that process information from multiple sources and in multiple views. Massive amounts of data are now available from disparate sources, increasing the demand for rapid data source integration accessible through simple interfaces.

Businesses are drawing upon huge volumes of unstructured social data to gain insights into customer behavior. Tracking social conversations at scale enables companies to learn when a topic is trending and what their customers are talking about. Insights gleaned from social data analytics lead to responsive optimization of products and services.

Power BI gives business users across the organization an easy-to-use tool to tap into insights hidden in large amounts of data. Whether the data reside in the cloud or on-premises, in structured databases or unstructured data processed by Hadoop, it’s accessible through Power BI. Use the Power BI visualization tools to communicate social trends to colleagues. As social trends evolve, have real-time updates reflected in your visualizations, enabling more agile responses to emerging market changes.

Business Intelligence for Sales and Marketing

Another popular trend is the use of business information by sales and marketing departments in various businesses. Without depending on a technical IT specialist or a business analyst, sales and marketing personnel may access the latest sales and purchase patterns among their consumers thanks to the usage of BI dashboards. Any sales or marketing activity may benefit from BI tools. It enhances the accuracy of sales objectives and projections, assesses the market effect of the most recent marketing campaign or promotion, and develops client acquisition and retention plans. Companies may profit from greater revenues (due to product cross-selling and up-selling) and assure improved customer satisfaction by implementing the proper business intelligence tools for sales and marketing.

Mobile BI

The workforce is more mobile than ever, and mobile solutions for data analytics are maturing.  Knowledge workers can now access and analyze data from their mobile devices more readily than ever. The trend toward mobile BI solutions will only continue to accelerate.

Power BI enables you to access and modify your dashboards no matter where you are, using touch-enabled native apps for Windows, iOS, and Android. Use the Power BI app to connect to your data, discover insights easily with data alerts, and share them with your team. The Power BI app also enables you to filter and pivot your data in different ways to quickly find answers on the go through your mobile device.

These trends point to the evolution of BI toward making new sources of information accessible, consumable, and meaningful to organizations of all sizes, including those that do not have advanced analytics skills or in-house resources.

Data Discovery

Data discovery, also known as data analysis for business users, is one of the top business intelligence trends for 2022. For a business user, data discovery is a business process that involves using data analytics tools to find patterns and derive insights from data. The three steps of data discovery as a business process are as follows. Business users are connected to numerous data sources throughout the data preparation step. Business users may quickly do visual data analysis utilizing data visualization dashboards including useful charts and graphs at the data visualization stage. Business users can utilize analytical abilities to uncover advanced patterns in the available data at the data analytics stage. Business users may more easily uncover business patterns and even anomalies thanks to visualization tools, and take fast and appropriate action as a result.