Does View Analytics replace Google Analytics and Clarity?

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Spotlight

PAGE: https://alison.com/course/introduction-to-data-analytics-using-microsoft-power-bi

PROMISE: Learn to build and share Microsoft Power BI dashboards in under three hours.

WHO: Beginners who want to learn Microsoft Power BI basics without prior coding experience.

WHYNOW: The course is free and short, allowing you to gain certification quickly if you need it.

DESC: In this free online course, learn how to create interactive visualizations, reports and dashboards with a few clicks or drag-and-drops in Microsoft Power BI.

BEFORE: You struggle to organize complex data into clear visual reports.

BEFORE: You do not know how to prepare raw data for analysis in Microsoft tools.

BEFORE: You lack a method to share live dashboards with colleagues effectively.

AFTER: You can build interactive visualizations using drag and drop functions.

AFTER: You understand how to transform and customize data before visualizing it.

AFTER: You can distribute reports via email or link to keep stakeholders informed.

GAIN: Ability to distinguish between Power BI Online and Desktop environments for better workflow.

GAIN: Skills to transform and customize big data to support accurate visualizations.

GAIN: Capacity to ask plain English questions of the data and share results via links.

STEP: You need to connect a new data source but lack the environment to process it. || Define the difference between Power BI Online and Power BI Desktop || Choose the right tool for local processing or cloud-based viewing based on specific workflow needs.

STEP: Raw data is messy and does not match the visualizations you want to create. || Outline how to transform and customize big data || Prepare and clean the dataset using built-in tools so it is ready for analysis.

STEP: The dashboard is finished but stakeholders cannot access the final report. || Describe sharing dashboards with other users by emailing them directly or creating a URL link || Distribute the finished work securely to the team without manual file transfers.

STEP: Leaders ask for insights from the data but you do not know how to query it. || Recall asking questions of big data in plain English language || Use natural language queries to extract answers from the dataset without writing code.

NOTFOR: Users who need advanced statistical modeling or machine learning features.

NOTFOR: Teams that require real-time data streaming capabilities not covered in this intro.

FACT: Average duration: 1.5-3 Hours (Contains Video)

FACT: CPD-accredited certificate available

FACT: Beginner level

COVERS: Define the difference between Power BI Online and Power BI Desktop

COVERS: Summarize how to perform big data analytics using real world scenario

COVERS: Outline how to transform and customize big data

COVERS: Recall using Power BI Online and Power BI Desktop

COVERS: Discuss the process of downloading Power BI Desktop

COVERS: Describe how to create an online account for Power BI Online

COVERS: Indicate the manner to create powerful visualization based on big data

COVERS: Describe sharing dashboards with other users by emailing them directly or creating a URL link

COVERS: Recall asking questions of big data in plain English language

COVERS: Data Analysis

COVERS: Microsoft

MODULE: Data Analytics and Microsoft Power BI || Microsoft Power BI Data Analytics | Working with Big Data

What you are probably seeing

You see a cluttered toolbar with multiple script tags on your website, each tracking different data points. You feel overwhelmed by the need to cross-reference two or three dashboards to understand a single user journey.

Your reports show gaps between raw traffic numbers and on-page behavior. You know someone visited, but you struggle to connect that visit to specific clicks or scroll depth without opening a secondary tool.

Why it happens

Most tools specialize in either server-side data processing or client-side visual recording, forcing users to integrate them separately. This fragmentation creates data silos that require manual correlation to form a complete picture.

The complexity of legacy setups often hides the true cost of time spent learning multiple interfaces. Users seek a unified solution to reduce cognitive load and streamline the workflow from raw data to actionable insights.

What changed recently

Step by step

1. List the specific data points you currently pull from your existing analytics tools before considering a switch.

2. Test the new tool’s direct integration method to verify it removes the need for multiple code snippets on your site.

3. Compare the heatmap and click tracking features against your requirements for visualizing user friction points.

4. Export a sample dataset from your current setup and attempt to replicate the report using only the new dashboard.

5. Schedule a one-week trial period to monitor if the single source of truth provides faster answers than your previous workflow.

Ways to go further

Start here: Introduction To Data Analytics Using Microsoft Power BI For when You are looking to learn more about data visualization and analytics concepts using Microsoft tools. Open the free course on Alison ↗

Better fit: Fundamentals Google Analytics 4 For when You want to understand how Google Analytics 4 works before migrating to a single tool. Open the free course on Alison ↗

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