Analytics & Testing

6 Signs It’s Time to Ditch Your Analytics Software

Analytics Software

A well-crafted business intelligence (BI) software solution is crucial for any organization that wants to determine the ROI of their online endeavors.

Whether it’s project tracking, an email marketing campaign, or forecasting, a company cannot thrive without tracking areas of growth and opportunity through reporting. Analytics software will only cost time and money if it doesn’t capture accurate snapshots of how a business is performing.

Take a look at these six reasons to drop one analytics software in favor of a more effective one.

1. Confusing user interface

Before committing to a BI software, have your employees test it out and see if the user interface can be easily integrated into their workflow. A clunky user interface can really slow down the reporting process: employees have to follow a convoluted path to deliver results. Groups working together with BI software should have a clear, consistent process so people’s efforts don’t overlap and waste time.

2. Too much data

Another downfall for many BI software solutions is that the program delivers too much raw data without translating it into actionable insights. Managers and team leaders should quickly be able to differentiate areas that are performing well from those that need attention. Faced with a wall of numbers, employees may waste precious time compiling reports that can be understood.

3. “One size fits all”

Not every business runs the same, and each organization has specific metrics that suit its needs. BI software should be customizable, so managers can filter out the noise and focus on analytics that really matter. For example, companies that provide services don’t need to examine metrics on shipping and procurement, if they manage any tangible inventory. Analytics should fit the departments using the data.

4. Too specialized

As companies search for the perfect BI program, they need to avoid analytics tools that are too focused. While a reporting system may excel at employee performance metrics, it may be terrible at handling other operational processes. Companies need to do extensive research into BI solutions to make sure the software doesn’t neglect areas the firm needs to examine closely.

5. Lack of updates

Reliable software developers are always developing updates on the near horizon, such as security fixes, OS compatibility updates, and bug fixes. A major sign of a poor analytics system is a lack of updates, which means that software developers are not adjusting the product to meet changing business needs.

When a software update is released, it should bolster security against new digital threats, and keep a company’s data secure. Updates generally improve workflow, allow employees to generate reports faster, and produce more relevant information. You should check software websites to see how often their product is updated and get an idea of how current a solution is.

6. Integration woes

Companies rely on a number of software solutions, including CRM databases, POS systems, and project management software. If an analytics solution can’t be integrated into your tech environment, you’ll waste time trying to bring data over manually from other systems.

Companies need to make sure that a BI solution integrates well with their existing hardware, operating systems, and software programs.

As companies adapt to the digital era by adjusting processes to higher speeds, businesses can remain competitive with an accurate BI solution. If your current metrics are outdated, sloppy, weighted with extraneous data, or simply unintelligible, it’s time to switch to a better solution.

The ideal analytics solution can push a company ahead of the game, allowing it to embrace efficient processes, lose ineffective practices, and move toward the greatest ROI.

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