The Gap Between Business Intelligence Requirements and Traditional BI Technology Solutions

This is the transcript of a Webinar hosted by InetSoft on the topic of "The Changing Requirements of Business Intelligence." The speaker is Mark Flaherty, CMO at InetSoft.

From what I have seen in the last 25 to 30 years is that now there is this really interesting opportunity in the BI market. Well it depends on how you look at it. If you are a vendor or consultant you see it as an opportunity. If you practitioner of a business intelligence you see this as a gap that you need to fill. The gap exists because the mission criticality of business intelligence just continues to grow year after year. We will spend a couple of minutes talking about why that is.

But on the other hand the overall complexity of business intelligence applications really hasn’t kept up with the criticality of requirements. As a result we have these sets of opposing forces creating this very interesting opportunity or a gap depending how you look at it. Fortunately what we are talking about today is how to close that gap. So it's not all bad news. It's really all about the next generation best practices and the next generation business intelligence technologies that are indeed allowing us today to address this opportunity and to close this gap.

I once read somewhere a comment that the information about a financial transaction has become more important than the transaction itself. This encapsulates what we see in the market today as the main drivers for business intelligence and why is it so mission critical.

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Increasing Importance of BI

Another factor related to increasing importance of BI is that data volumes are growing by leaps and bounds. Add to that increasing complexity of operations because enterprises are expanding globally or they are expanding into multiple products and multiple service lines. They are merging and acquiring each other.So a simple business operation that could have been analyzed with a simple spreadsheet before, today requires very complex operational analytics to keep track of every that is going on. Obviously regulatory reporting requirements, especially in highly regulated industries aren’t getting any simpler in industries like financial services, pharmaceuticals, oil & gas etc. But last and definitely not least is the factor of competitive differentiation.

You can think of business intelligence as the last frontier of competitive differentiation because everything else in our world either has already become or is soon to become commoditized. In order for us to compete in this highly commoditized economy where profit margins are razor thin, when the differences between products and services are either very small or negligible, it is really the information that we compete on. If you and I sell the same product, but I have a better view into what my customers are doing and how they are behaving and how they are churning and why, or why are they buying my products and services, this gives me a leg up on my competition.

And the last point in the discussion of why BI is so critical is that it is really the one and only glue that ties our entire enterprise application stack together. For the foreseeable future we will definitely continue to use databases and operating systems and desktop applications and enterprise applications and off-the-shelf applications, custom built applications from different software vendors, from different software stacks. I don’t think the Nirvana of having a single software stack is something that we can look forward to in the near future. So BI and business intelligence analytics will, for the foreseeable future, continue to be the glue that does tie it all together.

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There is no question that year after year, everyone that we talked to is doing something in BI. Also it is interesting that during the worst times in our economic crisis in 2008 and 2009, not a single person told me that they decreased their BI initiatives or they reduced the budget for their BI initiatives. So that that’s a great proof point.

How StyleBI Can Help Companies Cut Their BI Budget

When a company faces the need to reduce its business intelligence spending, StyleBI offers a cost-effective alternative without sacrificing critical functionality. Unlike many enterprise BI platforms that require expensive licensing and ongoing maintenance fees, StyleBI is available as an open source solution, eliminating a large portion of upfront and recurring costs. Organizations can deploy it on their own infrastructure or in the cloud, which gives them flexibility to scale at a pace that matches their budget. This means companies can maintain their reporting and analytics capabilities while cutting substantial software expenses.

Another way StyleBI reduces BI costs is by minimizing reliance on specialized technical staff. Its intuitive, self-service design empowers business users to create their own dashboards and reports without constant IT involvement. This not only shortens the time to insights but also reduces the labor overhead typically associated with report development and maintenance. By streamlining workflows and enabling broader adoption across teams, StyleBI helps organizations do more with fewer resources.

Maintenance and infrastructure costs are also areas where StyleBI provides savings. Traditional BI platforms often require complex integrations, heavy system administration, and costly upgrades. With StyleBI’s lightweight and flexible architecture, organizations can simplify deployment and management. This reduces the demand for dedicated support teams and lowers the total cost of ownership, freeing budget capacity that can be redirected toward strategic initiatives rather than upkeep.

Finally, StyleBI allows companies to preserve innovation while managing a leaner BI budget. Because it integrates easily with various data sources and supports advanced visualizations, organizations can continue to deliver high-quality analytics to decision-makers. Instead of cutting back on insights during budget constraints, StyleBI ensures the flow of reliable, timely information remains intact. In effect, it gives companies the ability to align cost-cutting measures with efficiency improvements, making their BI operations more sustainable in the long term.

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