This is a quick overview of Biznetyx, Inc.

1. An Introduction:
The Data Science
Company

2. Companies today have a
huge amount of data
available to them
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3. And every dollar
spent on analyzing
that data generates
$10 dollars in revenue
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Source: recent IBM study

4. So, why do most companies only
use 1% of data available to them
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Source: recent IBM study

5. Problem is most
companies don’t have
the analytics resources
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6. What if Data
Science was easier,
much easier
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7. We’re a data analytics company
ROI
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3
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DATA WRANGLING
We take disparate
structured and unstructured
data clean, transform and
format it ready for analytics
VISUALIZE & AUTOMATE
We turn analytic insights into
meaningful stories, illustrated by
engaging graphic design. Then we
use our development team to
automate the entire process with
apps and data playboards.
DATA SOURCING
We source and combine
disparate structured and
unstructured data sources.
ANLAYTICS & MODELLING
We use prescriptive analysis and
predictive analytics to uncover the
insights and model the future.
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8. We source a wide array of data
Aggregated Social Data: DatasSift gives use access to a sear
wide social media conversations around the world
Social Logon Data: Gigya and other partners provide us with
customer profiles and individualized social conversations.
Market Research Data: We create test and survey data streams
to make marketing research automation easier.
Transactional Data: Proprietary and syndicated transaction
data help us understand the what an when of purchase data
Machine Data: Automated data steams from mobile devices,
instruments and geospatial data are big opportunities
Enterprise Data: Secure access to important enterprise data
provides use with a strong internal understanding
Public Data: free data from the census, and other government
and private research efforts are a source of global insight
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9. EXTRACT
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We wrangle the data
LOAD
We develop data wrangling rules
We use core business rules and
data knowledge to define the
cleansing process
We transform the data
We reshape and blend the
data into usable structures
We clean the data
We run cleansing algorithms
to find the data issues
We explore the data
We look into the data
to understand the
challenges
We format the data
We can create a variety of
formats from flat files to
advance database formats
ITERATIVE
Wrangling
PROCESS
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10. We analyze and model the data
ITERATIVE
ANALYTICS
PROCESS
PATTERNS
TRENDS
DIFFERENCES
STATISTICAL
TESTING
MACHINE
LEARNING
STATISTCIAL
MODELING
 CLEAN DATA  INSIGHTS
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11. We visualize the business insights
E
D
S
STORYLINE DEVELOPMENT: Once we have the insights,
we learn about the audience to find the right story and
delivery. We turn the insights into a meaningful story.
ENGAGING DELIVERY: Build a means of engaging the
audience is critical. We find innovative ways to engage
your audience to engage, with gamification and online
user interface technologies.
CREATIVE DESIGN: Our creative team finds way to engage
the client audience with new engaging visual models.
Choosing the right charts and the right words, we bring
the story to life with clean, creative design.
STORY
DESIGN
ENGAGE
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12. Then, we automate the process
DATA
PLAYBOARDS
Cleaning
Algorithms
Format
& Load
Interactive
Data Play &
gamification
Automated
Statistical
Models
Online or
Off-line
dashboards
Automated
Prescriptive
Analytics
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13. We will be opening an office
in Paris in the Fall of 2016.
Our CEO and CTO are based in the
USA. We also have a business
development office in Boise, Idaho.
We have 16-person team in
Bangalore including four members
of our management team
We’re located in USA and India
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14. We offer a scalable global team
Sanjay Louis
VP Strategic Marketing
Sanjesh Vijayan
VP Analytics
VJ Anand
C.T.O.
Solution
Development Team
Analytics
Team
Mahendar Padala
VP Engineering
Visualization
Team
Grant Robb
C.E.O
Client
Development Team
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Subhendu Dash
VP Operations
Technology Team

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contact: grant.robb@biznetyx.com
twitter: @biznetyx
website: www.biznetyx.com
pinterest: www.pinterest.com/biznetyx
slideshare: www.slideshare.net/Biznetyx
phone number: 512-979-6200
We make data science
so much easier