Why organizations should use business intelligence tools
For my final blog post on digital tools, I want to discuss a powerful digital tool that has the potential to bring together all of the data from the tools in my previous blogs and other organizational tools/databases. A new digital tool that I have enjoyed using recently is business intelligence software. There is so much data available to organizations these days, and it can be a daunting task to aggregate the data or pull the information manually. It is 2023, organizations should be attempting to automate as many efforts as possible. Business intelligence software makes it easy for businesses of all sizes to analyze and organize data to gain actionable insights that help them make the right decisions and optimize productivity, efficiency, and performance.
What exactly is a business intelligence tool? “Business Intelligence (BI) tools are proprietary or open source application software that are used to collect, process, analyze, sort, filter, and report large quantities of data from internal and external systems, for the purpose of transforming raw data into useful information for business purposes” (Heavy.AI, n.d.). While this blog focuses primarily on useful tools in digital marketing, business intelligence tools can be valuable for all disciplines within an organization. This week’s blog post will explore some of the most common uses for BI tools and why organizations should utilize them.
Using BI tools helps organizations collect, analyze and optimize data.
When building business intelligence (BI) tools, it is essential to establish metrics and important KPIs that align with the overall company goals. Know the difference between vanity metrics and metrics that indicate actual performance. “Vanity metrics are metrics that make you look good to others but do not help you understand your own performance in a way that informs future strategies” (Tableau, n.d.). Then the organization will want to identify which data sources provide insights into these metrics, for example, CRM software, financial databases, or Google Analytics. BI tools bring organizations one step closer to achieving SMART goals.
Use BI tools to make sense of your data.
Understanding large amounts of data from different sources can be difficult, require technical knowledge, and be highly time-consuming. BI tools can aggregate your organization’s data and automate customized reporting, so gone are the days of manual data pulling and modeling. Customized reporting and dashboards allow individuals to make sense of the information they need without spending hours figuring out which reports to read or how to read them.
BI tools allow organizations to pull data from numerous systems or data sources. Viewing data from multiple databases that aren’t typically connected can provide vital information about business processes and performance that wouldn’t necessarily be easy to understand without BI tools.
BI tools provide insights that drive data-driven decision making
BI tools can provide a 360-degree view of your business. Organizations can create custom dashboards combining marketing, HR, IT, financial data, and much more to make sense of the ROI of their efforts. Being able to get a full view of company data in a digestible manner allows management to identify trends and drive action. Many BI tools offer additional insights, such as projections based on historical data. They can also help identify outliers or data points that display statistical significance.
Data visualization is also an advantage of using BI tools. “Data visualization is the practice of representing information graphically to communicate and contextualize data. It highlights important changes, patterns, and trends using a visual format, such as charts, graphs, maps, and plots, to help make data easier to understand” (Yellowfin, n.d.). You can create dashboards containing data visualizations such as:
- bar charts
- line graphs
- combination graphs (ex: bar combined with line)
- pie charts
- tables
- word clouds
- maps
- gauges
- heat maps
- scatter plots
How organizations decide to display their data is dependent on their organizational goals and the needs of their leadership. Visualization can also depend on viewer preference. For example, some individuals are highly visual and may interpret data better with graphs and charts, while some may prefer hard numbers in the form of data tables. Personally, I prefer visuals because they can help me quickly identify trends. The BI tool I currently use allows me to click on my visuals which drills down into the data details if I need to explore deeper.
See an example of a dashboard built from the BI tool DOMO. This dashboard includes many different examples of visualization tools.
Domo, (n.d.)
How to select a BI tool that fits your organization
As mentioned earlier in this blog post, when choosing a business intelligence tool, it is first essential to identify organizational goals and how the software can help achieve established goals. If the tool lacks the capability to provide insights to achieve company goals, it is not the right software. Some other factors organizations should also consider are company size and growth trajectory. Does the tool fit the needs of the business now, and is it scalable along with company growth plans? If the tool is too robust now but the organization has loft growth plans, something more advanced may be necessary. Budget is also an important consideration. It is crucial to invest wisely in these tools while also considering the ROI they can provide when used correctly. For example, will a thorough understanding of your whole marketing mix and sales and financial data allow your team to identify opportunities to improve ROI and acquisition costs? Organizations may want to invest more in their BI infrastructure based on the insights they can gain from utilizing BI tools.
Some popular tools that organizations use for business intelligence software (not limited to):
Competing business intelligence tools also offer different features that may attract those with more advanced analysts on staff, and some may be more user-friendly to beginners. Some tools require development knowledge. User-friendliness is definitely a factor to consider when choosing a tool. There are also developers available for hire to help organizations build out their dream systems, but it can be an additional financial investment and add to the overall budget required.
BI tools for digital marketers
From a digital marketing perspective, a BI tool can help marketers learn more about customer behavior, measure marketing efforts across multiple channels, evaluate performance across all stages of the customer journey, and maximize ROI. If the marketing team works with other departments within the organization, these efforts can be combined within dashboards to see how the actions work together.
Marketing can be very expensive but also a great way for companies to generate revenue and profit. Being able to dissect data and get a wholistic view provides opportunity to improve revenue and optimize marketing efforts.
If your organization is looking for ways to automate reporting, customize data, improve ROI, and visualize overall performance to gain a competitive advantage, a business intelligence tool is a great next step. After working with a couple different BI tools, I am always looking for ways to automate and improve reporting within these tools.
References
Domo. (n.d.). External business intelligence dashboards: real-world examples. Domo. https://www.domo.com/learn/article/external-business-intelligence-dashboards-real-world-examples
HEAVY.AI. (n.d.). BI tools – a complete introduction. HEAVY.AI. https://www.heavy.ai/learn/bi-tools
Tableau. (n.d.). Vanity metrics: definition, how to identify them, and examples. Tableau. https://www.tableau.com/learn/articles/vanity-metrics#:~:text=What%20are%20vanity%20metrics%3F,way%20that%20informs%20future%20strategies.
Yellowfin Team. (n.d.). What is data visualization and its importance in business intelligence. Yellowfin. https://www.yellowfinbi.com/blog/what-is-data-visualization-importance-in-business-intelligence