What is IoT (Internet of Things)? Explained

In today's world everything is becoming smart - smartphones, smart TVs, smartwatches, smartlights and even smart cars. But have you ever wondered how these things become smart? There is only one technology behind all these which is called IoT (Internet of Things) . If you also want to know what is IoT, how does it work, what is its importance in our life, its advantages, disadvantages and what will be the future , then this blog is for you. Here we will explain IoT in simple and long Hindi. What is IoT (Internet of Things)? IoT means - Internet of Things. It is a network in which different devices (like mobile, TV, watch, bulb, fan, car, fridge etc.) are connected to each other through the internet and talk to each other. In simple words - when a simple device connects to the internet and starts sending, receiving and processing data, it becomes a part of IoT. Understand IoT with a simple example There is a smart bulb installed in your house, which you can switch on and...
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How to Leverage Data Science for Business Intelligence?

 Businesses can use data science to improve business intelligence (BI) and spur strategic growth in today's data-driven environment. Here's how to do it:

1. Recognize the Sources of Your Data 

To guarantee reliable analysis, identify and classify data from a variety of sources, including social media, sales transactions, and consumer contacts.


2. Clear Your Information

To ensure high-quality data that provides trustworthy insights, eliminate errors and standardize format usage.

3. Make use of sophisticated analytics

To gain deeper insights and anticipate trends for proactive decision-making, use machine learning and predictive modeling.


4. Display Data

Create understandable and actionable visualizations of complex data by using technologies like as Tableau and Power BI.

5. Keep an eye on KPIs, or key performance indicators.

Concentrate on pertinent KPIs to monitor development and match tactics to organizational objectives.


6. Put Real-Time Analytics into Practice

Handle data as it comes in to respond quickly to developments and make decisions on time, particularly in sectors that move quickly.


7. Encourage a Culture Driven by Data

To guarantee that insights are used to their full potential, encourage data literacy and incorporate data science into routine business procedures.

8. Make Talent and Tool Investments

To close the knowledge gap between data and practical solutions, invest in sophisticated instruments and knowledgeable data scientists.



By taking these actions, companies may turn their data into insightful knowledge that will improve decision-making and spur expansion in a cutthroat market.

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