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BIG DATA
• 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?
• 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
• 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?
• 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.
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.
Scenarios Involved
• Sales and Marketing • Supply Chain • Work Force • Fraud Detection and Prevention
• 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
• 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
• 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
• 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
Elements of Data Management
services for BIG DATA
• Big Data Analytics
• Big Data Integration
• Big Data Management
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.
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.
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.
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.
• 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?
• 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?
Tangenz big data

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Tangenz 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?