The most impressive CRM that I ever encountered

 Microsoft 365's collection of productivity tools effortlessly connects with its dynamics 365 CRM module. It provides strong CRM features, such as marketing, sales, and customer support. Workflows are streamlined by the close interaction with Teams, sharepoint, and Outlook, and customer engagement is improved by AI driven insights. It supports companies of all sizes and is both scalable and adaptable, giving them the tools they need to successfully manage client relationships and spur expansion. Organisations may use dynamics 365 CRM to access strong features like customer analytics, opportunity tracking, and lead management from within well known Microsoft environments. Furthermore, accessibility from any location at any time is guaranteed by the platform's cloud based architecture, which promotes productivity and remote collaboration. All things considered, dynamics 365 CRM by Microsoft 365 offers a complete solution for companies looking to maximise their client connections,

My "Big Data"

Structured Data

Information that is organized in a predictable and predefined manner, often presented in tables, databases, or specific file formats, making it easily searchable, analyzable, and computable.


-Excel files
They organize data into neat rows and columns, making it easy to manage and analyze information like numbers or text.

-Python files
These follow a set of rules for writing code in Python, which includes commands for tasks like calculations, data manipulation, or creating programs.

-Google Document files
Similar to typing on a digital sheet of paper, Google Docs lets you write, format, and collaborate on documents online with others.

-Microsoft Word files
Think of these as digital documents where you can write, format, and add pictures or tables, just like typing on a computer.

-Jupyter Source files
They're like digital notebooks where you can write explanations, code, and see results all in one place, perfect for projects or learning coding.

Unstructured Data

Information that lacks a predefined data model or organization, often in the form of text, images, audio, or video files, requiring more advanced processing techniques, such as natural language processing or computer vision, to extract meaningful insights.


-Surveys

Unstructured due to open-ended responses lacking predefined formats, making analysis challenging without natural language processing.

-Emails

Unstructured because of free-form text content, which varies widely in language, style, and topics, making automated analysis difficult.

-PDFs
Can be unstructured when containing scanned documents or images of text, requiring OCR for extraction as they lack a logical text structure.

-Images
Unstructured pixel data representing visual content without natural meaning until processed through computer vision techniques.

-Videos
Unstructured sequences of images and audio, requiring processing techniques like video analysis for extracting meaningful information.

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