Do you want following in your organization or be the key player facilitating following in your organization:

• - Improve the Quality of Decision making process
• - Make faster decisions
• - Improve Planning and forecasting
• - Develop New products/services

The solution to all the above mentioned key business drivers is BIG DATA Analytics.

Every organization contains large volume of data which can be both structured and unstructured, and which plays a crucial role in day to day business. This large amount of data is called, Big Data. It is not the volume that is important but the usage of this data is the underlying factor of success for organizations. Top Management reviews business process through different data analytics techniques for its improvement.

There are different emerging trends which have come to light in the past few years in Big Data:

• Global spending on Big Data will grow to $114B by 2018
• 73 % of company are investing more than,20 % of overall technology budget on Big Data
• Companies are annually spending on an average of about $8 Million on Big data
• 70 % of the company deployed or plan to develop on Big Data
• 74 %results predict that Big data will be used in mainstream, in at least one business unit or department

Now a day, big data has become a critical aspect of decision making in an organization, as it offers new ways for analyzing the productivity growth. Leaders in every sector will have to adopt the implications of big data. Increase in the volume and detailed information captured via the social media will further enhance the exponential growth in data.

Below are the broad ways in which Big Data can add value:

• 1. Flexibility: There is a tremendous increase in the use of a technology called NoSQL which is basically related to un-relational data providing a benefit of a database which is without schema.
• 2. Speed: There is a powerful component called Apache Spark in the Big Data which provides extensive speed for processing the data.
• 3. Confidentiality: Now days, for the leading enterprises Big Data deployment is the foremost requirement. There are different projects which provide role based authorization to the data stored on a cluster.
• 4. Complex decision making: There are different capabilities in Big Data which provide fast data exploration. Also Big Data provides different tools which reduce the time to analyze the data and also the complexity of preparing the data for analysis.
• 5. Open Source: Big Data offers on demand cloud based data warehousing which is open source and much faster in pace in spite of the traditional Relational Database management systems (RDBMS) concepts.

Research shows extensive use of Big Data in different domains such as healthcare, public sector, Retail and manufacturing and personnel. Big data provides extended value in each of this sector.

Here is an example of healthcare to understand better:

Consulting group McKinsey & Company estimates that using Big Data will save between 12 ~ 17 percent of U.S. healthcare costs.

Big Data will allow healthcare providers, both large and small, to access and analyze their patient outcomes in order to pinpoint where dollars are best spent and where they can be saved.

So, by leveraging big data properly and delivering it in context of users workflows, doctors will be able to, for example, determine who is at risk for diseases like diabetes or certain types of cancer and provide preventive care.

Big Data in healthcare industry will ensure:-

• Right Living: Big Data can play instrumental role in analysis required to inform life style choices that promotes wellbeing.
• Right Care: Big Data will facilitate evidence based care that is proven to deliver the desired outcome while ensuring safety.
• Right Providers: Data base will provide, care providers (Doctors, Nurse), ease of access to the prescribed clinical results.
• Right Innovation: Big Data will provide the opportunity for innovation in the area of R & D of medicines and related facility for treatment.

There is also high potential to radically change:

• • Insurance reimbursement models – what are the correct ways to fairly reimburse doctors
• • Patient satisfaction metrics – what defines better care?
• • Risk identification and mitigation – how to lower remittance rates
• • Staffing and planning
• • Drug and vaccine development

Industry has observed extensive increase in job opportunities in Big data management and analytics. More and more companies are investing their time and money for training in the Big Data analytics.

The study shows a significant increase in the job trend for big data as well as data analytics. Currently, there is a huge deficit on the supply side for data analytics. Also there is a boom in the wages.

From career perspective, there are many options available depending upon the domain and nature of job. One can choose from three types of analytics environment:

• 1. Prescriptive Analytics
• 2. Predictive Analytics
• 3. Descriptive Analytics

Every leading organization is utilizing the Big Data analytics for their business needs and are having huge number of job opportunities with them.

There is a good saying “Data is useless without the skill to analyze it”.

A professional with good analytical skills can become a crucial resource to an organization, boosting the business as well as their career.

Summary

Big Data is critical for a today’s age organization, in improving its balance sheet and beyond. Dependence on big data will further increase, year on year. There is huge gap between the demand and upply of manpower. Persons, having adequate knowledge, will definitely be among list of Top Employers.

Seek training in Big Data and Data Analytics from the Industry experts at QT&T. Register today.