The world of Big Data Analytics

What is Big Data?

It refers to the large amount of data your business handles everyday

Such a massive amount of data needs to be maintained with accuracy

Big Data of a business may include receipts, customer-purchasing trends, age-group statistics and much more.

But it’s not the amount of data that’s important. It’s what organizations do with the data that matters.

Big data can be analyzed for insights that lead to better decisions and strategic business moves.

Volume Velocity Variety

Three Features Of Big Data

The size of available data has been growing at an increasing rate. This applies to companies and to individuals. A text file is a few kilo bytes, a sound file is a few mega bytes while a full length movie is a few giga bytes. This is a major issue for those looking to put that data to use instead of letting it just disappear.

Volume

Organizations collect data from a variety of sources, including business transactions, social media and information from sensor or machine-to-machine data. In the past, storing it would’ve been a problem – but new technologies (such as MapReduce and Hadoop) have eased the burden.

Velocity

Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, email, video, audio, stock ticker data and financial transactions. Data from social media platforms are also included

Variety

Why

doe

s you

r bus

ines

s nee

d bi

g da

ta?

Time Saving:

A large amount of time can be saved

instead of needlessly

searching for data without any proper

direction Secure:

The information gathered through big data analytics

are always authentic and

secure.

Actionable: Your business can maximize profits

and generate leads from big data

analytics

Productive:It is essential for every business

today to have a big data analytical platform or big data analytical

software to survive in competition

Relevant:Accurate insights about the specific

target can be gathered to form future business

strategies

What are the types of Big Data Analytics?

Descriptive Analytics

Predictive Analytics

Pre-descriptive Analytics

Descriptive analytics is a preliminary stage of data processing that creates a summary of historical data to yield useful information and possibly prepare the data for further analysis

Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends.

Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation

To Discuss more on Big Data Analytics, Contact us @

SGS Technologie LLC; 6817 Southpoint Parkway, Suite 2104,

Jacksonville, FL 32216 Phone: (904) 332-4534

Fax: (904) 687-0178

Email: info@sgstechnologies.netWebsite: http://www.sgstechnologies.net