Business Intelligence Tools & Analytics software provides historical, current and predictive views of business operations.
We’ve collected videos, features, and capabilities below. Take me there.
Business Intelligence tools are designed to make sense of the huge quantities of data that organizations accumulate over time. BI tools analyze this information and present it as actionable information that can guide decision making.
Business Intelligence software (BI) makes up a large heterogeneous category of software. Not all tools in the category can be meaningfully compared to each other. There are several types of BI tools of which the most substantive are Full-Stack Business Intelligence Tools and Data Visualization Tools.
Full-stack or traditional products are enterprise-level BI tools designed to solve the specific problem of enterprise data silos. Much crucial business data is stored in a range of different data stores, many attached to business applications like ERP. F ull-stack BI tools consolidate all data in a data warehouse which is a relational database designed for data mining instead of transactional processing.
Slices of data from the warehouse—usually summary data for a single department like sales or finance—are stored in a “data mart” for quick access. All of this structured data is normalized by using an ETL process (Extract, Transform and Load) whereby transactional data is combined into a single pool of data and then “transformed” into a more appropriate format for querying and analysis before being written in the data warehouse database.
Data Visualization products have a different purpose. These BI tools are primarily designed to help data analysts discover patterns in large quantities of data and to build compelling visual representations which allow these patterns to be easily understood.
These business intelligence tools often use a technology called in-memory analytics to query data residing on a computer’s RAM rather than on a physical disk. This means that the data does not have to be stored anywhere for subsequent analysis.
Data visualization products often have lower cost of implementation and require less support. This can make them good business intelligence tools for small companies that don’t need a full-stack business intelligence solution.
Many BI tools also enable some forms of reporting. Modern BI’s ability to intake many different forms of data and present them in increasingly high and professional quality, some organizations are able to use their BI tool both to surface specific insights and generate regular reports. The level of automation found in BI reporting will vary highly from product to product. For general reporting needs, the ability to set-and-forget data pipelines into a BI tool and the normalization of functions like dynamic dashboards make some leading BI tools competitive automated reporting tools as well. However, specialized reporting cases that use more niche data structures may be less automatable in traditional BI tools.
When considering different business intelligence tools, consider the following aspects of each product offering.
Business Intelligence software is generally quite expensive. However, it’s worth remembering that it is often money very well-spent in terms of significantly improved decision-making.
One of the impediments to understanding pricing is that vendors base their pricing on a broad range of different variables from number of users to number of CPU cores.
However, as a very rough guide, advanced report authoring can cost $2,000 to $2,500 per seat, while interactive report viewing can be about half that amount. Static report viewing can be as little as $50 per seat.
