Even though BI has been around for decades, misconceptions still persist. These myths harm BI’s reputation and can make it difficult to achieve buy-in from stakeholders. Let’s review a few of the common misconceptions I’ve come across in my work as a BI consultant.
1) Dashboards = Business Intelligence
Certainly dashboards with at-a-glance views of KPIs are the most common form of business intelligence, but they’re not the only mechanism for consuming BI content. Many companies use dashboards for quick reviews of very important metrics, but just as many are running monthly or even daily reports with their BI software. Many of our customers use arcplan to send daily financial reports to entire departments every morning. Other BI models include self-service ad-hoc reporting, which goes beyond traditional static reporting, and data discovery, where analysts interactively explore data from multiple sources in a BI interface. Then there are many BI platforms that enable users to use BI like social media – collaborate with peers, leave comments, annotate graphs and more. The truth is, business intelligence solutions nowadays are flexible enough to accommodate however your users want to work. Don’t limit yourself to thinking dashboards are BI. They can help you monitor your business performance easily and should be a part of your BI mix, but think about what other forms of BI can contribute to the success of your initiative.
2) The most popular BI tool must be the right one for my organization
When it comes to BI, one size doesn’t fit all. The hype surrounding popular solutions doesn’t necessarily translate to value for your organization. You should evaluate whether the solutions on your shortlist are compatible with your data architecture, whether they’ll address users’ specific requirements, and whether they’re scalable for future development. You might set yourself up for failure if you only shortlist “hot” vendors. Need a starting point? Try analyst evaluations like BARC’s BI Survey. Its analysis can help you build a list of vendors to evaluate based on product capabilities and user feedback.
3) BI ROI is questionable
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Business intelligence is the key to unlocking insights from data and empowering company leaders to make impactful decisions, act swiftly even in volatile market conditions, and plan strategically for the success of the organization. arcplan is celebrating its 20th anniversary this year, and BI has been around at least as long as we have. Over the last 2 decades, we’ve seen companies make similar mistakes – mistakes that undermine the success of their BI initiatives. Those new to BI should learn from their predecessors. Here are 5 common BI worst practices and how to avoid them:
1) Blindly buying technology without considering your analytical requirements
BI projects do sometimes fail; it’s not something anyone likes to talk about, but most of the time these failures can be blamed on a lack of requirements gathering. Vendors like us have to ensure that we understand our customers’ requirements inside and out in order to deliver a solution that will be successful and demonstrate concrete ROI. But the truth is, some companies don’t have a thorough understanding of their users’ needs before they start evaluating solutions. Too many organizations start “feature wars” with vendors and end up buying the solution with the most perceived bells and whistles – features they barely understand and will never have a use for.
This is a much of a problem for customers as it is for vendors; it’s our job to ensure that what we’re selling you will have value to your organization, and a lot of that comes down to understanding your users’ needs. But if you don’t understand your users’ needs, how can we?
The first thing you must understand before you try to purchase a BI solution is the analytical problems your company is trying to solve. Don’t get side-tracked by fancy bells and whistles that will not solve your business problems. Avoid the feature wars and make your shortlisted BI vendors prove that their solution is a match with a custom demo or proof-of-concept application.
2) Using BI as a gateway to Excel