2. Big data analytics is the process of collecting large chunks of
structured/ unstructured data, segregating and analyzing it and
discovering the patterns and other useful business insights
from it.
It helps in determining which data is relevant and can be
analyzed to drive better business decision in the future.
3. Big data has become a key differentiator in helping
organizations forecast and make strategic decisions to remain
competitive and increase revenue, reduce risk and attain
growth .
4. TRAVEL:
-The travel industry generates a vast quantity of data around
reservation, inquiries, itineraries, hotels, rental car, trains,
airlines, fare charts, customer feedback etc.,
-Thus leaving long trails of data.
HEALTHCARE:
- Big data is helping every industry to become more efficient
and productive.
-medicine and health care sector are also not different.
5. ECOMMERCE &RETAIL :
◦ E-commerce and retailers are prioritizing data collection
from omnichannel and are implementing analytics to
gather relevant business insights which help them reach
more customers and boost sales.
◦ big data analytics play a key role in almost all stages of the
ecommerce and retail selling/buying process.
MANUFACTURING
-manufacturing industry deals with huge amounts
of data from a network of thousands of motors ,heavy duty
mechanical equipment electronic relays and sensors
synchronized& controlled by complex systems.
6.
7. Text analytics is the process unstructured text data into
meaningful data for analysis , to measure customer opinions ,
product reviews, feedback, to provide search facility,
sentimental analysis and entity modeling to support fact
based decision making.
It also involves lexical analysis, categorization, clustering,
pattern recognition, tagging, annotation, information
extraction, link and association analysis, visualization, and
predictive analytics.
8. Provide tools, servers, analytic algorithm based application,
data mining and extraction tools for converting unstructured
data in to meaning data for analysis.
9.
10. Text mining ,text parsing, text identification, text extraction,
text categorization, text clustering .
Extraction of concepts , entities, relations events.
Creation of taxonomies.
Search access, web crawling, indexing , duplicate document
identification.
Analyze all major file formats and all major languages- natural
language/ semantic toolkits.
11. Entity relation modeling.
Link analysis, link text repositories.
Ability to identify and analyze sentiments people ,place and
other information from websites , internal files ,reports
surveys , forms, employee surveys, claims, underwriting
notes , medical records, emails, news, blogs, social media,
customer surveys, market surveys, online forums, online
reviews, review sites, scientific journals, web site feed back,
call center logs, transcripts , snail mail, sales notes.
Documents summarization features and records management.
Interactive visualization.
12. Sentiment analysis.
Search access of unstructured data.
Automated ad placement.
Social media monitoring.
Competitive intelligence
Scientific discovery, especially life sciences.
