The amount of data available to companies is growing rapidly. With the increase in volume, variation, and veracity of data, the common analysis techniques are out of the picture. This is where বড় ডেটা লাফানো বড় ডেটা বিশ্লেষণ allows for the analysis this huge amount of data to bring out insights that were previously incomprehensible. All our activities online – the sites we visit, the posts we like, things we share, purchases we make, videos we watch – practically everything is recorded, monitored and analyzed. With this huge amount of data comes a host of advantages and so does the complexities. All industries are trying to leverage the opportunities this data offers. In the course of figuring out the uses of বড় ডেটা, many industries have advanced by miles from their competitors. The uses of বড় ডেটা vary between theory and practice. Theoretically what we have imagined is yet to be achieved but we are definitely moving forward. Here we have summarized a list of বড় ডেটা uses that can be incorporated in every industry.
5 বড় ডেটার ব্যবহারিক ব্যবহার:
Here is a list of 5 practical uses of বড় ডেটা. Different industries are using বড় ডেটা in different ways. In our list we have compiled the uses of বড় ডেটা and what industries are using them. Read on to find out more:
1. অবস্থান ট্র্যাকিং:
লজিস্টিক কোম্পানি ব্যবহার করে আসছে অবস্থান বৈশ্লেষিক ন্যায় to track and report orders for quite some time. With বড় ডেটা in the picture, it is now possible to track the condition of the good in transit and estimate the losses. It is now possible to gather real-time data about traffic and weather conditions and define routes for transportation. This will help logistic companies to mitigate risks in transport, improve speed and reliability in delivery.
সঙ্গে বড় তথ্য, hospitals can improve the level of patient care they provide. 24×7 monitoring can be provided to intensive care patients without the need of direct supervision. On top of that, the efficiency of medication can be improved by analyzing the past records of the patients and the medicines provided to them. The need for guesswork can be significantly reduced.
নির্দিষ্ট বায়োফার্মাসিউটিক্যালসের ক্ষেত্রে, অনেকগুলি ভেরিয়েবল রয়েছে যা চূড়ান্ত পণ্যকে প্রভাবিত করে। উদাহরণস্বরূপ, যখন উত্পাদন insulin intense care needs to be taken to ensure the product of desired quality. By analyzing all the factors impacting the final drug বড় তথ্য analysis can point out key factors that might result in incompetence in production.
3. জালিয়াতি সনাক্তকরণ এবং পরিচালনা:
Banking and finance sector is using বড় তথ্য to predict and prevent cyber crimes, card fraud detection, archival of audit trails, etc. By analyzing the past data of their customers and the data on previous brute force attacks banks can predict future attempts. Not just বড় তথ্য helps in predicting cyber crimes but it also helps in handling issues related to miss transactions and failures in net banking. It can even predict possible spikes on servers so that banks can manage transactions accordingly.
The Securities Exchange Commission (SEC) is using বড় তথ্য to monitor financial markets for possible illegal trades and suspicious activities. The SEC is using network বৈশ্লেষিক ন্যায় and natural language processors to identify possible frauds in the financial markets.
Advertisers are one of the biggest players in বড় ডেটা. Be it Facebook, Google, Twitter or any other online giant, all keep a track of the user behavior and transactions. These ইন্টারনেট giants provide a great deal of data about people to the advertisers so that they can run targeted campaigns. Take Facebook, for example, here you can target people based on buying intent, website visits, interests, job role, demographics and what not. All this data is collected by Facebook algorithms using বড় তথ্য analysis techniques. The same goes for Google, when you target people based on clicks you will get different results and when you create a campaign for leads that you will get different results. All this is made possible using বড় তথ্য.
৫. বিনোদন এবং মিডিয়া:
In the field of entertainment and media, বড় তথ্য focuses on targeting people with the right content at the right time. Based on your past views and your behavior online you will be shown different recommendations. This technique is popularly used by Netflix and Youtube to increase engagement and drive more revenues.
Now, even television broadcasters are looking to segment their viewer’s ডাটাবেজ and show different advertisements and shows accordingly. This will allow in better revenue from ads and will provide a more engaging user experience.
Here we have, 5 practical uses of বড় ডেটা that can be used by different industries. বড় তথ্য is taking people by surprise and with the addition of IoT and মেশিন লার্নিং the capabilities are soon going to increase. The amount of data is growing rapidly and so are the possibilities of using it. The number of successful use cases on বড় ডেটা is constantly on the rise and its capabilities are no more in doubt.