”Without data you are just another person with an opinion.”

Big data management in medical healthcare simply means collecting, storing and analyzing large amounts of data to increase the efficiency and make better decision. Big data in any industry can be classified into structured and unstructured data. Structured data can be easily organized and analyzed. But unstructured data is difficult to analyze and understand.

Analysis of big data depends on the data models in usage. Hence, mere collecting the big database will not serve the purpose. Trending models of big database has to be incorporated for the success of medical healthcare marketing.

3 Vs of Big Database marketing:  

Big Data in medical marketing is the combination of three factors:

  1. High-Volume
  2. High-Velocity
  3. High-Variety


Big Data in medical health care observes and tracks what happens from various sources which include medical business transactions, social media healthcare details and information from sensor data. This creates large volumes of healthcare consumer data.


The big data streams is high speed and efficient. The processing of data produces real time results.


There are variety of details with all formats ranging from text documents, video, audio, email and stock ticker data.

Let’s now look into the advantages of big data in Healthcare marketing:

  1. Cost Effectiveness: Tools of Big Data like Hadoop and Cloud-Based Analytics can help reduce cost especially when business has large amounts of data to be stored. The mentioned tools also help in identifying more efficient ways of doing business.
  1. Understanding the market conditions: By doing detailed analysis of current healthcare marketing conditions with the help of big data, better understanding is possible.

For example. By knowing the purchasing behaviors of customer a company can find out the products which are sold the most. This will help marketers to move according to the trend of the market.

  1. Reduced data redundancy, errors and increased consistency in healthcare data: Whenever healthcare data is repeated it amounts to lot of confusion .Repetition of healthcare data can be avoided by using big data in marketing. Error are reduced to a larger extent.  As a result the overall consistency of healthcare data increases.
  2. Reduced time: The high speed tools like Hadoop and in-memory analytics can help identify new sources of data which will help businesses to analyze the data immediately and make quick decisions based on the healthcare database.
  3. Big data allows marketers, clinicians and hospital staff to make informed decisions to improve quality of care.

Big data has a lot of capacity to profit medical organizations. It is a useful to improve the financial position of any organization. Apart from improving financial position, monitoring and analyzing clinical data it allows for informed decision making and understanding, which is the most important part in healthcare marketing.

  1. Accumulating data from different areas allows marketers to see the big picture.

Instead of keeping diversified repositories, creating a comprehensive system allows health care providers to see how their organization is growing on a macro level. By seeing a big picture analyzing and prediction of market outcomes becomes easier.

  1. Controlling online reputation: Big data tools does sentimental analysis. Therefore one can get feedback about who is saying what about the company. If one wants to monitor and improve the online presence then implementing big data techniques with its various tools is obligatory.
  2. Development of new product:By knowing the trends of customer needs and satisfaction through big data analytics one can create products and services according to the wants of customers. 
  1. Improved data security: Data security is the most important entity which shall be the top priority of healthcare marketer’s .Consumers look into database security as first priority and then other conditions. To increase consumer confidence, big data will play an exceptional role.

Let’s look into some disadvantages:

  1. Analysis can be misleading sometimes.
  2. There may be complex tasks to gain insights.
  3. Speedy updates can mismatch real figures.
  4. Big data is sometimes enormous and difficult to interpret.

Big Data is in every field and there is almost an urgent need to collect and preserve healthcare data. Big Data Analytics has become crucial as it aids in improving business, decision makings and providing the biggest edge over the competitors. Hence, the faster you adopt big data analytics, the faster will be the business outcomes in terms of profits.

To know more please visit our website medicoleads.com