Business Intelligence and Analytics
What is Business Intelligence and Analytics?
Business intelligence (BI) and analytics refers to the collective infrastructure, tools, applications, and other resources that generate data and insights, which in turn inform how businesses make decisions, uncover revenue opportunities, and evaluate performance.
What are the benefits of business intelligence and analytics?
The core benefits of BI and analytics are speed and agility, allowing businesses to process multiple data streams faster through an intuitive dashboard. The resulting information can be used for identifying trends and opportunities and monitoring performance in real time. By providing stakeholders and users with these detailed insights and forecasts, BI and analytics enable more informed business decisions.
BI and analytics also create transparency and visibility across siloed networks within and outside an organization, meaning data isn't limited to one department or location. And all departments and offices can access the same information at once.
Combined, businesses can increase their competitive advantage with deeper insight by better understanding their position within a market, enabling more proactive decision-making, especially when it comes to organizational efficiency, evolving industry conditions and customer needs.
What is business intelligence and Big Data analytics?
Where the principal goal of BI is using data-driven insights for making individual business decisions, BI and Big Data analytics focus on generating, processing, and analyzing data for addressing broader business concerns. In addition, there are some fundamental differences between BI and Big Data. Compared to BI, Big Data refers to much larger, less specific data sets, usually raw or unrefined (e.g., structured and unstructured) streams that can’t be analyzed with standard BI tools and software. In addition, the sheer volume of Big Data is another point of differentiation, needing an entirely separate storage component, such as a data warehouse or data lake.
Today, this data is often generated by large-scale endpoint devices and user behaviors, driven by the rise in edge computing and the Internet of Things (IoT) in an increasingly mobile and cloud-driven world. Open-source frameworks like Apache Hadoop are one way businesses can extract value from mountains of data.
However, despite the differences, both BI and Big Data share a similar objective: to further business objectives through data, helping uncover insights that lead to a competitive edge.
HPE for business intelligence and analytics
HPE is a leader in helping companies reduce data management and BI complexity across hybrid and public cloud applications for many industries.
HPE GreenLake delivers a trusted, enterprise-grade AI/ML and analytics cloud-like experience that can simplify data-intensive applications and deliver the visibility, control, and performance of hybrid cloud while maintaining security and compliance standards. As a managed solution, HPE provides the expertise and infrastructure (hardware and software) businesses need for a successful data analytics infrastructure tailored to specific business outcomes and delivers insights faster, even for complex Big Data. This solution is flexible, featuring a consumption-based model that lets organizations scale quickly and accelerate time to market using HPE cloud services that are engineered for critical industry vertical and horizontal workloads.