Big data is the process of examining large volumes of diverse data types at high speeds to discover useful patterns and information. It involves acquiring data from traditional and unstructured sources, analyzing it using advanced statistical tools, and organizing the information to make real-time or quick decisions to positively impact the business. There are different types of analytics like descriptive, predictive, and prescriptive analytics and different types of big data like structured, semi-structured, and unstructured data.

1. Tomado de: https://www.quois.com/blog/asi-el-big-data-puede-ayudar-a-hacer-crecer-tu-empresa/
ANALYTICS

2. WHAT IS BIG DATA?
• Big data is the process of examining,
at a great speed, large volumes of
data of a wide variety of types and of
great value, to discover hidden
patterns and useful information

3. TREATMENTS
OF BIG
VOLUMES OF
DATA
ACQUISITION: Data comes from
traditional data sources, relational
databases and unstructured data sources
ANALYSIS: Analyze all the information with
access to all the damages with advanced
statistical tools such as social mining or tools
developed with programming language R for
advanced statistics
ORGANIZATION OF INFORMATION:
Prepare and process the information to
obtain the best possible results from it.
DECISION: Make decisions in real time or as
quickly as possible so that it can positively
affect the business of the company

4. ANALYTICS
•Process of analyzing information of
a determining domain such as web
analytics or social analytics

5. TYPES OF ANALYTICS
Descriptive analytics: Analysis and
preparation of data to identify
trend
Predictive analytics: Allows you to
discover hidden patterns of
mathematics and statistics
Prescriptive analytics: Use the data
to prescribe actions that undermine
the possibilities of get better results

6. TYPES OF BIG DATA
Estructured
Data
Semi
estructured
data
NO
estructured
data

7. TRADITIONAL
DATABASES

8. Images, videos,
texts, emails,
music, mesagges…

9. Obtained from
the sensors
and machines