Systems | Development | Analytics | API | Testing

Here’s a question for you – is your product really what your users need? Does it effectively solve their pain points? Is it simple to use and can they navigate it easily? Does it have all the necessary features? The problem is, most people answer this question based on their assumptions, subjective opinion, or what a handful of power users tell them.

How do you know if your performance is good? For example, your click-through rate on LinkedIn Ads is 4.2%, is that good? Is your CPC too high? Are your conversions too low? One way to answer these questions is by using Benchmarks. In a nutshell, Benchmarks provide a point of reference – a reliable standard that helps you compare how you’re doing against businesses like yours. You can use them to understand where you’re performing well, and where you have opportunities to improve.

Databox is mostly known for its business analytics and visualization capabilities. As a single-product company for the majority of its existence, it was developed in a way that catered to just one product. As the company began its path as a startup, it was convenient to keep the architecture simple and flexible to quickly adapt to change and align direction if needed to ensure business success.

Most agencies struggle with the same challenge: proving the value of their work to their clients and showcasing performance in an understandable way while ensuring internal processes are streamlined and optimized. You usually have no time to build complex reports across multiple platforms for every client. The data you need is scattered across different sources, and most of your processes require manual data collection and calculations.

Helping companies leverage their data to make better decisions and improve their performance is something we strive for at Databox. Until recently, this type of analysis has only been reserved for larger enterprises with dedicated teams and budgets for complex tools. Fortunately, recent innovations are reshaping this landscape.

Growing any business is difficult, but scaling a software as a service (SaaS) company is on a whole other level. Most SaaS companies struggle to achieve predictable revenue growth, while even public SaaS companies struggle to achieve profitability. To make a SaaS company successful, you can’t just change your software delivery model to the web and expect it all to work. You have to make thoughtful, data-driven decisions when it comes to your marketing, sales, and customer success operations.

We analyzed 50K+ data points to find the most important Google Analytics metrics. Here are the top 10, plus definitions for each metric and how to find them.

The main problem with writing only formal reports in your company is that you won’t be able to quickly and efficiently communicate important urgent messages and the latest updates to your management and team leaders. You always have strict rules and formats that you have to follow, which will disable you from conveying crucial information in a timely manner. The biggest issue is that your management needs that information in order to make the day-to-day decisions and create efficient strategies.

Imagine a bunch of bricks. They don’t have a purpose until you put them together into a house, do they? In business intelligence, data is your building material, and a quality data analysis report is what you want to see as the result. But if you’ve ever tried to use the collected data and assemble it into an insightful report, you know it’s not an easy job to do.

Look, while they’re certainly not the easiest way to consume information, most companies are still using spreadsheets in order to pull a lot of different data into one place. That’s the strength of Spreadsheets – collating a lot of information in one place. And while there’s a lot of functionality within a tool like Google Sheets to categorize and manipulate the data, it’s not the best tool to present performance data to others.