Big data consulting company helps businesses to deliver customized products to their targeted customers. One doesn’t need to spend money on promotional campaigns that don’t deliver.

With the help of Big Data, big enterprises can know their customer trends by checking online transactions. 

Today Big Data is used in various sectors such as education, agriculture, medicine, gambling, and environmental protection. 

Big Data can be known as a combination of technologies that is used to store, analyze and manage this massive data in order to design solutions. 

With the help of Big Data, one can also analyze the production, customer feedback,and reviews to decrease future demands. One can also use Big Data to improve their decision with market demand. 

Government

Big Data has a numerous variety of applications, including financial markets, fraud detection, health-related research, and energy exploration. Big Data is used for the analysis of huge amounts of Social Security Administration that comes in form of unstructured data. 

Through Big Data analytics one can use medical information rapidly and also make decisions faster to detect fraud. 

Also, Big Data is using Food and Drug Administration so that they can detect and study food-related problems and diseases. Big Data can be helpful in several different cases. 

Challenges:

• Have a problem of Integration. 

• Interoperability of big data. 

Transportation

In previous years, Big data consulting companies helps the researcher to understand that travel behavior has not progressed easily. Also there are some applications of big data used by governments, private organizations and individual includes such as:

Big Data used by the Government helps in predicting traffic conditions, helps in traffic control, route planning and congestion management. 

Big Data use by the private sector helps in consolidating shipments, optimizing freight movement, revenue movement and competitive advantage. 

Big Data use by individuals: includes route planning that helps to save fuel and time, also makes travel arrangements for people. 

Challenges:

• Provides data from location based social networks. 

• Have high speed data from telecoms that affects to travel behavior. 

• The transport models are still based on poorly social media structures. 

Healthcare providers

There are many challenges that Big Data face in healthcare such as exclusion of patients, monitoring and managing real time adjustments. 

The decision making process and use of data are totally different from available sensors. From Big Data one can collect data from mobile phone, or from patients that allows the doctors to use evidence based medicine. 

Challenges:

• Creates problem in rising medical costs. 
• Inadequate and unusable data. 

Communications, media and entertainment

With Big data consulting company one can analyse the customer data with behavioral data to make a detailed customer profile which they can use as measuring content performance, can make new content for different target audiences and can also recommend content on demand. 

Any demanding music services can use Hadoop Big Data that helps in collecting data from their users all over United States.

Challenges:

• Have to collect, utilize and analyse consumer insights. 

• Have to understand patterns of real time and media content usage. 

• Have to maintain social media content and leveraging mobile. 

Insurance

With the help of Big Data one can provide their customers with transparent and simple products after predicting and analysing customer behavior from social media Or CCTV footage. Also the Big Data helps to improve customer retention from insurance companies. 

Through Big Data Fraud detection can also be seen within a second. Big Data also offers fast service so that large amount of data can be analysed in the underwriting stage. 

Challenges:

• Have hunger for better insight. 

• Have lack of personalized services such as pricing and targeted services to new market segments. 

Banking and securities

Big Data is used by Security Exchange Commission to check financial market activity. One can also use this network analytics and language processors to catch illegal trading activities that is happening in financial markets. 

These types of industries highly rely on Big Data analytics as they show anti-money laundering, fraud transactions, and knowing your customers. 

Challenges:

• Helps to know card fraud detection and audit trails. 
• Helps to know customer data analytics and transformation. 
• Helps to warn for securities fraud and trade visibility. 

Conclusion

Big data consulting company plays an important role in these industries as it provides substantial real spending on Big Data. 

One can also understand where their spending is occurring and also try to match the market needs with their own capabilities. With big data, one can also try to understand the characteristics of industry-specific challenges.

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