How to use a custom dashboard to do data analytics
Having a data analytics dashboard means being able to count on a decisive point of reference. And not necessarily dedicated to insiders. With good management of sources, it is possible to create information platforms, to be used with any browser. And also suitable for the end customer.
That is, to the entrepreneur or professional who wants to grow the portal , e-commerce, blog. In short, the data analytics dashboard is a tool that should be part of every business. Here's how and why you should invest in this reality designed to tell your best numbers.
What is a data analytics dashboard?
With this term we mean an information page – created wit Oman Phone Numbers
data storytelling and visual synthesis programs such as Google Looker Studio – in which you can find the data needed to evaluate the performance of a web project. And, consequently, also the KPIs born from the evaluation of two points:
Strategic objectives of the core business.
External context benchmark.
I identify the needs and compare them with the world around me. I define points that I want to observe to monitor the progress of my activities. I do this because I know that we always have to improve. To do this we work in a Deming cycle : we do, we study, we evaluate and we optimize.
In this journey, there is always a need to look at the numbers, extrapolate what is needed and interpret them. The data analysis dashboard helps you with this: it allows you to obtain an effective and reasoned synthesis of what is necessary, cutting the background noise and bringing out only what is valuable.
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What is a data dashboard for?
Having a personalized data analytics dashboard based on continuous and constant data updating means being able to carefully analyze what happens on your website. And in particular around the most important dynamics for your project. There are three fundamental points to analyze.
Extrapolate.
Customize.
Use.
Before listing them, however, let's give a little preamble: why do we do all this? Why do we work around data? The pure and simple recording of numbers is useless. Especially in a context in which - as happens with e-commerce - there are avalanches of numbers that come from different sources.
We need to gather the information collected with Search Console , Google Analytics and more in one strategic point. Then we eliminate what is not needed, we present everything in the best possible way by evaluating aesthetics, readability, functionality of the numbers. This is the data analytics dashboard.
Looker Studio explained simply
On YouTube I show you the main functions of this tool and its potential.
Go to the channel
Extrapolate useful data
Through a data summary screen you can perform an essential filtering work for future marketing strategy optimization activities. This process is essential both when you have to deal with processes related to big data, and with information regarding a medium-sized website. The point is that there are many numbers, different sources, countless combinations.
You need to extract the ones that are convenient for you and clean up the noise. Data analytics dashboards are not just about showing numbers , they are about processing and getting what you need for optimization.
Dashboard Data Analytics
One of the fundamental steps to exploit numbers in your marketing activities is to refine them to ensure that all data is consistent, with a single unit of measurement, and free from useless information tares. It is often thought that data analysis stops at the collection of information with Google Analytics .
Unfortunately, this is not the case and it often takes a lot of resources to clean the flows. But a good dashboard does the work for you because it has filters upstream that allow you to eliminate what is not needed.
Customize your screens
One of the most interesting aspects of a data analytics dashboard is the ability to customize what is offered to the public. In short, we are not talking about a simple PDF to be delivered at the beginning of the month but a web page that can change, modify, and update itself based on requests.
d and everything needed to have the KPIs under control.
