By Zahid 
Intro(Big Data)
Did you ever wonder how Netflix recommended the shows for you or how your bank immediately detected fraud and stopped it It’s big data. Big data is huge amounts of information that companies gather daily. As a matter of fact big data helps businesses make wise decisions. In addition it is changing the way people live and work. Though it sounds complicated big data is really not difficult to comprehend. Let’s learn what it means and why it matters to you.
What is Big Data
Firstly big data means tons of information. Regular computers can’t handle it meaning millions of data points every day. It includes your shopping habits and weather patterns too. Secondly businesses collect structured and unstructured data. Some information is neat while other information is messed up and needs some fixing first.
Besides consider how much data we produce in one minute: people send messages post on social media buy things and watch videos all this leaves data trails. Unfortunately old computers cannot process so much information fast. That is why we need special tools for this.
Where does data come from
Obviously data comes from everywhere now. For example your phone tracks where you go. In the same vein smart home devices listen to you. Moreover your fitness tracker counts your steps. Meanwhile IoT and big data work well together. As a result Internet of Things devices gather information all the time. Thus this real time data gets into big storage systems. Later companies study it.
Besides that social media creates a lot of data too: every like counts every share is counted. Moreover online stores track what you browse they see what you buy and in fact even track items left in your cart. The end result is that all this analysis of customer data helps businesses know what people want.
How Big Data Works
First big data needs data processing and storage. Therefore companies use cloud computing for storing info which is strong and flexible. Instead of buying expensive servers they rent space online. Consequently this data infrastructure grows when needed. Thus it handles any amount of information.
The raw information is then turned into useful tips through data analytics. Software is used to analyze the data in search of patterns. Additionally data visualization tools create charts and graphs to make hard information easy to see. An example would be seeing a colorful chart of sales that is data visualization.
Tools That Make It Happen
Currently big data analytics tools are very strong. First data science mixes stats coding and business smarts. It pulls value from information. Meanwhile machine learning finds patterns people miss. These smart programs learn from data. As a matter of fact they get better over time on their own.
Moreover artificial intelligence goes even further. AI systems base their guesses on enormous datasets. For example predictive analytics use old data to predict forthcoming trends. Similarly shops predict what will be sold during holidays. Additionally data mining digs through big databases it finds hidden links between different pieces of information.
Real Uses in Your Life
Big Data in Healthcare
Today doctors use big data to save lives daily. Specifically big data in healthcare spots disease outbreaks early. Moreover doctors check patient files to find the best treatments. In addition wearable devices track your health. As a result this helps catch problems fast.
Researchers use data management to store millions of patient files safely. They compare treatments to see what works best. Therefore this creates personalized medicine for you. Ultimately datadriven decision making means fewer errors. It means better care too.
Big Data in Finance
Similarly info analysis is used by banks a lot. Big data catches fraud in seconds especially in finance. For example when your card is stolen smart programs notice weird spending really fast. In fact billions of deals are checked by card companies and they spot the bad ones rather quickly.
Meanwhile investment firms use business intelligence for smart trades. They study market trends and news. In addition to that enterprise data management keeps money records safe and neat. Therefore this guards your money and personal info. It stops hackers.
Big Data in Marketing
Ever see advertisements that show you exactly what you like Well that’s big data in marketing. More precisely companies trace your browsing and purchases. They look at your social media too. This way it shows you ads about the things you care about not random ones.
In addition big data applications help businesses reach the right people at the right time. Marketers test different messages and then see what people like. They track email opens and website visits. Consequently this customer data analysis makes marketing work better it’s less annoying too.
Why Businesses Need Big Data
Nowadays every company uses big data to grow its business. From the small startups to big firms all need insights from data. For example a data warehouse uses data storage of old information. It monitors the progress with time. Simultaneously managers compare sales of different years which clearly shows success.
Moreover big data projects initiated by a government entity make public services better. Cities use traffic data to fix jams they plan better roads too. Similarly health officials track diseases. Therefore data processing helps governments serve people well. It saves money too.
Moreover business intelligence platforms combine information from several sources into one clear picture. Hence leaders are able to understand what is working and what is not working. Because of this therefore companies quickly adapt to the changes. At the end data driven decision making cuts guesswork it builds confidence in plans.
Issues to Ponder
However big data has huge advantages but also problems. First privacy bothers many people. Companies collect a lot of personal information now therefore they need to protect this information from being stolen and misused. Because of that strong security and clear rules build trust.
Besides quality matters as much as quantity. Unfortunately bad data leads to bad choices. That’s why companies clean and check their information. This requires highly competent people who know technology and business. Unfortunately there are not enough data scientists. Therefore this makes it hard for some firms to work with data well.
Big Data Future
Overall big data is no longer just a trendit’s a part of life. From the shows you watch to the medical care you receive it shapes everything through its analytics. Understanding how it works enables you to choose when to share information. As technology continues to grow data will be used to help solve even some of the biggest problems. The key to it all is a balance between new ideas and privacy. Companies should use data in the right way and they have to help customers too. Big data will help in improving healthcare and developing better products. It has the power to bring good changes.
Finally the future belongs to groups that turn info into smart insights they also have to respect the privacy rights of individuals.