It has been more than a decade since we moved from the era of analogs storage to digital storage. Big Data is one of the terms that we commonly hear today whenever there is a discussion about technology and business. This transitional phase of the digital age has posed many challenges to businesses and they are forced to adapt to new technologies and the environment in order to survive and grow in the market. Data mining is one of the areas that businesses are concerned about in order to adapt to the new market scenario.
Data mining is very important in various fields like science, business and other areas which deal with a huge amount of data. It has a great significance in the business world as it supports business to hold the power of appropriate information and thereby providing a competitive edge in business. Many company and organizations have their own data warehouse to help them collect, organize and my data like purchase data customer’s data, transactional data, sales information etc. Data mining requires great data preparation for different types of information especially those that require privacy. It is important to concentrate on the time that is spent in getting valid information from the data. So if you are looking for rapid growth of your business, it is necessary to make accurate and fast decisions that can take the benefit of getting the available opportunities timely.
Maintaining data mining and warehouse at premises is not always affordable. Though not cost effective. Mining of data is essential for every business today. So the best solution is to outsource data mining solutions. Outsource services are offered for various mining solutions like statistical data mining, website data mining, online data mining, stock market data mining etc. at affordable prices.
Data Mining in Various Areas of Business
Businesses in retail and service sector are interacting with consumers the most such as media make the highest use of data mining. The knowledge that can be collected by analyzing records and looking for patterns can greatly benefit companies and organizations in terms of performance bringing up new ideas for products, improvisation and setting new business strategies.
In the banking sector, the data mining is used very frequently. Consumers transact with or through banking institutes frequently. Banks also have personal details of consumers. If a bank is planning to give out credit cards to its consumers it can go through past loan records to get details of credit history and prepare a list of consumers who are most likely to purchase credit card. A similar concept holds good with the insurance sector where banks can target consumers based on their age and occupation. The knowledge that is collected through data mining can also help banks for prepare financial products based on and the salary scale of population and geographic locality and strike the correct gathering of people in the market through focused showcasing thoughts.
Data mining can be used in system-level designing to extract the relationships between product architecture, product portfolio, and customer data. It can also be used to predict the product development span time, cost, and dependencies among other tasks.
- Hospitality Industry
Hospitality is an industry which is highly consumer-centric. The last century may have witnessed the highest surge in mobility of people, thanks to the developments in the transport sector. This along with the IT boom has increased competition in the hotel industry. Today people plan their travel months or even years before and book their reservations online. The access to information of consumers is a big benefit to hoteliers who use data mining to understand consumers travel pattern. Since the hospitality industry is subject to seasonal variation of consumers, data mining may be very crucial to the success of the business.