ChristianSteven BI Blog

If you think that self-service business intelligence tools are here to replace the enterprise business intelligence tools, then you are wrong. These new self-service tools do not replace, but rather supplement, enterprise BI tools. The fact is that managed enterprise BI and self-service tools exist for different reasons. Depending on your organization’s needs, you may want to invest in one or the other or, in some cases, both these tools.

Most data-driven businesses implement self-service business intelligence solutions to enable users to use and benefit from the data analysis easily. With traditional business intelligence tools, data scientists and IT teams control access to data. On the other hand, a self-service BI solution is used by people who may not be tech-savvy themselves. The user interface for self-service software is almost always quite intuitive, which makes it easier for the average user to tap into the potential of the software.

Data Analytics refers to qualitative and quantitative techniques that are used to enhance your productivity and business operations. When you are using data analytics software, you are extracting your data and analyzing behavioral data and patterns so that you can benefit from it.

If you are a B2C (Business to Consumer) organization, data analytics can be entirely meaningful and beneficial to your business. You can use data analytics software to analyze data that you have collected from various customers to understand and benefit from historic customer purchase patterns.

Much like any other industry, data is becoming increasingly essential for pharmaceutical companies. There is market demand for newer and better medicines, so pharmaceutical companies must evaluate efficient business models and focus on emerging technologies. Additionally, you need to sustain the quality of information so that you can keep up with the changing regulations in the industry.

Nothing's changing today's industry as much as artificial intelligence (AI), data analytics, and business intelligence. It's supercharging businesses, enabling an analytical analysis that helps predict business futures. Data analytics is transforming industries' long-term goals and turning them into yesterday's achievements.

Several industries are being disrupted by AI, data analytics, and business intelligence. All five industries profiled below are being disrupted by all three. The five industries were made stronger and better by figuring out what disruptors worked and how to keep it going by using the next disruptive application when needed.