1 | Copyright © 2015 Tata Consultancy Services Limited

Data Science

A radical approach for Information Professionals

TCS PUBLIC

Smitha P. | Sukeshini Horannavar Information Resource Center

Tata Consultancy Services Ltd.

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27% of companies report that they successfully integrate new analytics talent with more traditional data workers.

- Forbes

Data Science – the buzz word !

TCS Public

The ability to take data, to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it, that's going to be a hugely important skill.

- Hal Varian, Google

Businesses will need one million data scientists by 2018.

- IDC

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Advances in data science are sparking more creative business opportunities – Gartner

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Applications for data science cropping up in new industries

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Healthcare startups are using data science to move ever-closer to personalized medicine and using artificial intelligence to examine images like x-rays and MRIs to diagnose problems quickly and accurately.

Companies in consumer lending are refining how to assess creditworthiness using non-traditional factors like social media networks.

Traffic management agencies are able to use real-time traffic and weather data to predict traffic flows and manage emergency response.

. . .

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What is Data Science ?

TCS Public

The study of where information comes from, what it represents and how it can be turned into a valuable resource in the creation of business and IT strategies.

Mining large amounts of structured and unstructured data to identify patterns can help an organization rein in costs, increase efficiencies, recognize new market opportunities and increase the organization's competitive advantage.

- CIO Magazine

“ Storytelling

Data Engineering

Business Analysis

DATA SCIENCE

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History of Data Science

TCS Public

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Data Scientist - The detective

Collects all evidences (Data)

Identifies the missing links (in the available data)

Establish new relationship with the involved characters (Data sets)

Unlocks the case (insights from the data)

TCS Public

“Data! Data! Data!” he cried impatiently. “I can’t make bricks without clay.”

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What do they do ?

Use the ability to find and interpret rich data sources

Manage large amounts of data

Overcome constraints around hardware, software, and bandwidth

Merge data sources

Ensure consistency of data sets

Create visualizations to aid in understanding data

Build mathematical models using the data

Present and communicate the data insights / findings to specialists and

scientists in their team and if required to a non-expert audience.

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The workflow

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Write reports

Deploy online

Archive experiment

Share experiment

Explore alternatives

Edit analysis scripts

Debug

Inspect outputs

Execute scripts

Make comparisons

Take notes

Hold meetings

ANALYSIS PREPARATION

Acquire data

Reformat and clean data

REFLECTION

DISSEMINATION

Sou

rce

: Co

mm

un

icat

ion

s o

f th

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CM

Data scientist has that unique blend of skills that can both unlock the insights of data and tell a fantastic story via the data.

- DJ Patil & Thomas Davenport

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The Age Of The Citizen Data Scientist Is Dawning - Gartner

TCS Public

“A person who creates or generates models that use advanced diagnostic analytics or predictive and prescriptive capabilities, but whose primary job function is outside the field of statistics and analytics.” – Gartner

Gartner believes that by 2019, citizen data scientists will surpass data scientists in the amount of advanced analysis produced. “

Citizen data science is a branch of data science that allows users to extract advanced insights from data while not requiring the users to be highly skilled.

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Librarian Data Scientist

Proficient in data collation

Information search skills

Knowledge of data sources

Identifying the relevant and non-relevant

TCS Public

PR

EPA

RA

TIO

N

Acquire data

Reformat and clean data

Edit analysis scripts

Debug

Inspect outputs

Execute scripts

AN

ALY

SIS

Aware of basic analysis tools

Programming skills

Advanced coding

Analytics tools

Handling unstructured data

Make comparisons

Take notes

Hold meetings REF

LEC

TIO

N

Keen eye for detailing

Observation skills

Enhanced industry knowledge

Problem solving

Write reports

Deploy online

Archive experiment

Share experiment DIS

SEM

INA

TIO

N

Documentation

Archiving and retrieval

Business acumen

Deriving quantitative insights

Technical writing / infographics

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Bridging the gap

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T E C H N I C A L S K I L L S

• Database Management • Data blending • Querying

• Basic descriptive statistics • Advanced analytics • Predictive modeling

• Data visualizations • Report design • Insights presentation

• Big Data analytics • Machine learning • Unstructured data analysis

S O F T S K I L L S

• Curious • Explorative mindset • Devise alternatives

• Effective communication • Diverse audience handling

• Team management • Cross-cultural flexibility

• Industry Knowledge • Business problem-solving

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Acquiring skills

DST4L

Data Scientist Training for Librarians (DST4L) is an experimental course, started at the Harvard-Smithsonian Center for Astrophysics John G. Wolbach Library and the Harvard Library to train librarians to respond to the growing data needs of their communities. In this hands-on course, librarians learn the latest tools for extracting, wrangling, storing, analyzing, and visualizing data.

edx

Data Science Academy

CS109 Data Science

Coursera

Udacity

TCS Public

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What's in store ?

TCS Public

Repositioning in the information lifecycle

Meet the expectations of the customers

Embrace new technologies

Indispensable research partner

Contributor to open science

Competitive advantage

15 | Copyright © 2015 Tata Consultancy Services Limited

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