1.
BIG DATA

2.
• Established in 2008, Tangenz is a
technology consultation company serving
clients across varied industries throughout
the globe.
• They are INC5000 listed, one of the fastest
growing private US Companies.
• Tangenz turns your Oracle investments into
success by robust implementations,
integrations, and managed services.
• They are Oracle Gold partners and 100%
focused on a varied stack of Oracle
products.
WHO ARE WE?

3.
• They serve customers across small, Mid-
size and Enterprise segments-ranging
from $50M to $50B in size-in multiple
industries.
• Services include: End-to-end
implementations, managed services,
project management, training, integrations
with enterprise systems, and business
process re-engineering.
Industry Expertise

4.
• Big Data is simply a mass compilation of
business data that is too complex to sift
through with use of traditional data
management tools.
• It is also a type of data but generated in
huge volumes.
• One of the foremost example of Big Data
is Facebook in which 500+ terabytes of
data gets instigated on a daily basis. The
data is generated in the form of photo,
video uploads, message exchanges,
comments, etc.
What is BIG DATA?

5.
• Potential and the numerous possibilities with Big Data, Machine Learning
and Data Sciences are invigorating. However, going from this idea into
reality has its difficulties.
• The complexity of business decisions makes it hard for Organizations to
understand where to begin and making a wrong choice can subsequently
deplete resources and financial budget.
About: BIG DATA
• With exponential data available, the question that remains for every
organization is “What is their Big Data and Machine learning technique?”, “How
to combine Big Data with traditional data to drive actionable insights for better
decision making? “
• Tangenz has a group of top notch Data Engineers and Big Data specialists
who can help give a complete way towards opening bits of knowledge from Big
Data.

6.
Types: BIG DATA
• Structured
Data that can be stored in a fixed format is
known as Structured Data. For eg.
Employee data of whole enterprise
• Unstructured
Any data with an unknown form and
structure is known as unstructured data.
For example, The output returned by
‘Google searches’ is all unstructured
• Semi-Structured
Data that contains elements of structured
and un-structured data is semi-structured
data. For eg. Personal data stored in an
XML file.

7.
Scenarios Involved
• Sales and Marketing • Supply Chain • Work Force • Fraud Detection and Prevention

8.
• Prospect Segmentation
Segment prospects into small clusters
and apply proper channel and
messaging
Sales And Marketing
• Campaign Marketing
Effectiveness
Analyze campaign performance with a Test
and control set up
• X sell and U sell Models
Use predictive models to Cross-sell and Up
sell customers
• Prevent Customer Attrition
Continuous enquiry of customer conduct to
forecast mix and take actions to prevent
attrition
• Sales Analysis and Forecasting
Sales Analysis & Forecasting using
predictive models to plan for downstream
fulfilment and servicing activities

9.
• Spend Analysis
Analysis of huge volumes of spend data
to identify cost saving and negotiating
opportunities
Supply Chain
• Demand Forecasting
Use mixture of statistical and judgmental
methods to forecast Demand to enable
Planning
• Production Management
Methods to improve asset use and
reduce idle time
• Inventory Management
Identify inefficiencies to achieve direct
and indirect cost saving, reduce waste
and improve replenishment

10.
• Forecast
Forecasting hiring needs is based
on past trends, seasonality and
Management initiatives
Work Force
• Screening
Improve screening by using
algorithms to select resumes
based on key job attributes
• Performance
Predict performance,
discover gaps and predicts
the best fit next level role for
your employees
• Retention
Improve retention by predicting
sign of churn and uncovering
appropriate actions

11.
• Predictive
Modelling
Spotting possibility of a
fraud event using
rigorous model training
Fraud Detection and
Prevention
• Preventive and
Detection Strategy
Analytics-led strategies for
faster detection/ prevention
of fraud events including
optimization of fraud
detection rules
• Operational Analytics
Help operations manage the
investigation process
effectively and efficiently
• Fraud Reporting
Comprehensive reporting
packs for quickly uncovering
hotspots, emerging trends
and flash frauds

12.
Elements of Data Management
services for BIG DATA
• Big Data Analytics
• Big Data Integration
• Big Data Management

13.
Big Data
Analytics
Get the machine learning capabilities necessary to achieve
your business objectives, all in scalable solutions.
Oracle Analytics: A unified and scalable family of
products that empower your entire organization to ask
any question of any data, in any environment, on any
device.
Oracle Data Science: Oracle Data Science is a
collaborative, open, and enterprise-grade platform that
helps data science teams become more productive and
effective
Oracle Machine Learning for Spark:
Supported by Oracle R Advanced Analytics for
Hadoop (a component of Big Data Connectors),
Oracle Machine Learning for Spark provides an
R interface for manipulating data across multiple
sources with powerful features.
Oracle Big Data Spatial and Graph: Handle the
most challenging graph, spatial, and processing
workloads on Apache Hadoop and NoSQL
database technologies.
Oracle Machine Learning The Oracle Machine
Learning product family enables scalable data
science projects with complementary components
that help data scientists, analysts, developers, and IT
achieve goals faster.

14.
Big Data IntegrationIngest, manage, and deploy data to the service needs of your
business with Oracle's big data integration tools.
Oracle Big Data Connectors
Oracle Big Data Connectors is a suite
of softwares that integrates Apache
Hadoop with Oracle Database.
Oracle Stream Analytics Rapidly
create real-time event stream
processing applications and
manage and execute solutions.
Oracle Internet of Things Gain new
data-driven insights and drive actions
by connecting, analyzing, and
integrating device data.

15.
Big Data ManagementBig data management maximizes resources for
organizations of all sizes for stronger data value and
organizational processes.
Oracle Autonomous Data
Warehouse Oracle Autonomous
Database scales elastically,
delivers fast query performance,
and requires no database
administration.
Oracle Big Data Appliance
A comprehensive big data
platform designed to acquire,
organize, and analyze large data
workloads from diverse sources
at speed and scale.
Oracle Cloud Infrastructure Data
Flow Oracle Cloud Infrastructure
Data Flow is a fully managed big
data service that lets you run
Apache Spark applications with no
infrastructure to deploy or manage.
Oracle NoSQL Database
A scale-out, low latency, key-value
database service that includes
support for JSON and table data
types.
Oracle Big Data Service Oracle Big
Data Service is an automated
service based on Cloudera
Enterprise that provides a cost-
effective Hadoop data lake
environment.
Oracle Cloud Infrastructure Data Catalog
Oracle Cloud Infrastructure Data
Catalogue is a robust metadata
management service that powers the
ability to organize, govern, and enrich
information about data within Oracle
Cloud and beyond.
Oracle Cloud Infrastructure Data
Integration Oracle Cloud
Infrastructure Data Integration is a
cloud native, serverless ETL service
for integrating, transforming, and
moving data within the Oracle Cloud
Infrastructure ecosystem.

16.
Big Data: Major challenges
faced
• Lack of understanding of Big Data
Most businesses fail to understand the clear picture
regarding Big Data and fail to utilize its potential and
importance.
• Lack of Data Professionals
For proper handling of Big Data, companies require Big
Data professionals experienced in working with Big Data
with and put to use its tools efficiently.
• Securing Data
Safety of such huge volumes of sensitive data is a daunting
task. Companies push data security for later stages and
end up facing data leaks
• Optimal use of Big Data
The cases of Gaana Application, Microsoft etc signify that
Big Data can be utmost critical. However, most businesses
lack the dedication towards Big Data to achieve such feats
and insights.

17.
• Being Oracle Gold Partners, and 100% Oracle
focused, Tangenz converts your Oracle
investments into a success.
• They provide end-to-end implementations,
managed services, project management, cloud
roadmap and migration, third party integrations,
training, etc to manage and optimally utilize your
company’s big data.
• Provide experienced Big Data solutions to help
you achieve business goals.
What does Tangenz do?

18.
• 100% Oracle focused and Oracle Gold Partners to
provide robust implementation of varied Oracle
products and services
• They bring 12 years of experience and expertise of
making your Oracle implementations a success
• They bring in-depth business knowledge, and
present valuable and important solutions for
business success
• They properly understand customer challenges,
create necessary strategies to counter those
challenges, and provide business solutions that
matter
• A team of experienced Oracle experts that work
alongside your business
• They can convert confusing Big Data into
something meaningful.
Why choose Tangenz?