Rules to Better Data Analytics

Without proper data cleansing, efforts spent in analysis and modelling are often wasted. This rule covers the important steps for getting your data in good shape before the hard work begins.

Imagine running a business without a clear, unified view of your data. Here's what you might face:

1. Data Silos: Different departments hoard their data, making it difficult to gather holistic insights about your business.
2. Inefficiency: You spend valuable time integrating data from disparate sources instead of generating insights.
3. Cost Overruns: Managing multiple systems for data integration, engineering, warehousing, and business intelligence inflates your costs.
4. Impaired Decision Making: Inconsistencies and lack of access to all data hinder informed decision-making.

Typically, companies managed this problem with Data Warehouses like having a SQL Server database to aggregate all their data.

These days, data lakes make it easy to consolidate all data in an unstructured manner.

Microsoft Forms is a popular survey tool used by many organizations. When forms receive numerous responses, digesting the results becomes challenging.