It’s the age of getting smart or smarter. Technology has been seeping into every sphere of our lives in the past few years. After our phones and televisions have gotten smarter, it’s time to envisage our cities to become smarter. Big Data and the Internet of Things (IoT) have a significant role to play in making our lives simpler by inter-connecting our scattered digital footprints to create an efficient and cohesive habitable unit for us. Read to know more.

It’s the age of getting smart or smarter. Technology has been seeping into every sphere of our lives in the past few years. After our phones and televisions have gotten smarter, it’s time to envisage our cities to become smarter. Big Data and the Internet of Things (IoT) have a significant role to play in making our lives simpler by inter-connecting our scattered digital footprints to create an efficient and cohesive habitable unit for us. Read to know more.

pin 1
Here are a few pointers on how to use your Big Data Analytics effectively for your Brand Marketing. Read now to find more.

Here are a few pointers on how to use your Big Data Analytics effectively for your Brand Marketing. Read now to find more.

pin 1
Here's a slide deck that lays down 8 key challenges that the majority of the Healthcare industry must take into account.

Here's a slide deck that lays down 8 key challenges that the majority of the Healthcare industry must take into account.

While one of the maximum impact industries for big data analytics remains the healthcare industry and its allied fields, there are challenges that need to be addressed. Here we lay down 8 key challenges that the majority of the Healthcare industry must take into account.

While one of the maximum impact industries for big data analytics remains the healthcare industry and its allied fields, there are challenges that need to be addressed. Here we lay down 8 key challenges that the majority of the Healthcare industry must take into account.

Insurers have to sort through large volumes of data to assess the risk involved in a single proposal for insurance cover. At the time of claim, the insurer must ensure that the claim is genuine and this again requires sorting through a sea of data. Big data can come to the aid of the insurance industry to help them sort through information and use it to their advantage. Let us find out how big data can help the insurance to tackle the everyday challenges that appear in the business.

Insurers have to sort through large volumes of data to assess the risk involved in a single proposal for insurance cover. At the time of claim, the insurer must ensure that the claim is genuine and this again requires sorting through a sea of data. Big data can come to the aid of the insurance industry to help them sort through information and use it to their advantage. Let us find out how big data can help the insurance to tackle the everyday challenges that appear in the business.

Insurers have to sort through large volumes of data to assess the risk involved in a single proposal for insurance cover. At the time of claim, the insurer must ensure that the claim is genuine and this again requires sorting through a sea of data. Big data can come to the aid of the insurance industry to help them sort through information and use it to their advantage. Let us find out how big data can help the insurance to tackle the everyday challenges that appear in the business.

Insurers have to sort through large volumes of data to assess the risk involved in a single proposal for insurance cover. At the time of claim, the insurer must ensure that the claim is genuine and this again requires sorting through a sea of data. Big data can come to the aid of the insurance industry to help them sort through information and use it to their advantage. Let us find out how big data can help the insurance to tackle the everyday challenges that appear in the business.

While big data has been used in many fields – from retail to healthcare, there’s one dark horse that will benefit substantially from the use of big data analytics. According to the Harvard Business Review, 71% of CEOs surveyed believe that human capital resource is the most important contributing factor to sustainable economic value. It’s now time for HR to enter the game, after all, a company’s payroll sometimes makes up almost half of the company’s costs.

While big data has been used in many fields – from retail to healthcare, there’s one dark horse that will benefit substantially from the use of big data analytics. According to the Harvard Business Review, 71% of CEOs surveyed believe that human capital resource is the most important contributing factor to sustainable economic value. It’s now time for HR to enter the game, after all, a company’s payroll sometimes makes up almost half of the company’s costs.

The era of Big Data has brought with it the landmarks of petabytes (1,024 terabytes) and exabytes (1,024 petabytes). Big Data refers to either the humungous amount of data present in structured and unstructured form which is ever-expanding or the technology required to be able to deal with data of this measure. Let's find out what are the 5 essential steps in developing a big data and predictive analytics model through this slideshare ppt.

The era of Big Data has brought with it the landmarks of petabytes (1,024 terabytes) and exabytes (1,024 petabytes). Big Data refers to either the humungous amount of data present in structured and unstructured form which is ever-expanding or the technology required to be able to deal with data of this measure. Let's find out what are the 5 essential steps in developing a big data and predictive analytics model through this slideshare ppt.

Big data is the flavor of the season, with companies cutting across sectors and size lining up to get on the big data bandwagon. However, it is at implementation time, and even later, that many companies come face to face with the harsh realities of big data. All the potential and advantages it offers comes only if the pain points that come along with it are resolved. Here are the top 10 pain points associated with big data.

Big data is the flavor of the season, with companies cutting across sectors and size lining up to get on the big data bandwagon. However, it is at implementation time, and even later, that many companies come face to face with the harsh realities of big data. All the potential and advantages it offers comes only if the pain points that come along with it are resolved. Here are the top 10 pain points associated with big data.

Big data is the flavor of the season, with companies cutting across sectors and size lining up to get on the big data bandwagon. However, it is at implementation time, and even later, that many companies come face to face with the harsh realities of big data. All the potential and advantages it offers comes only if the pain points that come along with it are resolved. Here are the top 10 pain points associated with big data.

Big data is the flavor of the season, with companies cutting across sectors and size lining up to get on the big data bandwagon. However, it is at implementation time, and even later, that many companies come face to face with the harsh realities of big data. All the potential and advantages it offers comes only if the pain points that come along with it are resolved. Here are the top 10 pain points associated with big data.

Pinterest • The world’s catalogue of ideas
Search