IBM Watson Data Platform is an integrated platform of tools, services and data that helps companies accelerate their shift to become data-driven organizations. It is the IBM public cloud foundation designed to support the data and analytics vision of whole enterprises, delivering a fully integrated platform that sustains both analytical investigations and putting insights into active use in production at any scale. It delivers the user experiences that amplify the ability of every data professional to execute on that vision, allowing teams such as data scientists, developers and business analysts to work together across different languages and data models.
4. • Information availability
is unprecedented yet
accessibility remains elusive
• Applying strategy and
decision-making is
complicated
• Skilled analysts are
overwhelmed with growing
workloads
Data and The New Business Imperative
1 Source: Blue Hill Research 2017
2 Source: Forrester’s Business Technographics® Global Data And Analytics Survey, 2017
75-80%
of workers typically
lack access to potentially
helpful data or analytics1
More
People
More
Data
An average organization
only uses 50% of its structured
and 25% of its unstructured data
for decision making2
5. Why is Data Science Essential? Two main reasons…
A single truck visiting 10 different locations
Over 3 million routes
Real world problems contain
100s of trucks and 1000s of locations
There are more possibilities that the
grains of sands in the world
A single truck visiting 5 different locations
120 different routes
1) Complexity1) Complexity
2) Data2) Data
1995 – 130 billion GB 2020 – 40 trillion GB
We cannot plan for every eventuality, we cannot
write code for every scenario
We cannot say “if this then do that” 40 trillion
times
Data Science is made up of algorithms and approaches that will fnd the right solution every
time – even if they haven’t encountered that exact situation before!
6. “The Sexiest Job in the 21st century” – Harvard Business Review
“By 2018 the US could face a shortage of 150,000 to 190,000 with deep analytics skills as well as
1.5 million managers with the know-how to use analysis of big data to make effective decisions” –
McKinsey Global Institute
“… the demand for Data Scientists outstripped supply by 250,000
in 2015 …” – Accenture
“… business leaders of whom more than 50% reported lack of in-house expertise in data science” –
Gartner
Market Trends
Markets and Markets: Data
Science Platform Market,
Global Forecast – Feb, 2017
AlotofdemandNotenoughsupply
7. Why do companies struggle to deliver value?
Data
• Data resides in silos
• Detailed data was never stored
• Unstructured and external data wasn’t considered
• Diffcult to access
• If the data isn’t secure, self-service isn’t a reality
• Understanding lineage and getting to a system of truth
• Data Science skills are in low supply and high
demand
• Nurturing new data professionals is challenging
• Need an environment that enables a “fail fast” approach
• Discrete tools present barriers to progress
Governance
InfrastructureSkills
9. Data Science is a Team Sport
Statistician
Computer
Scientist
Data Mining
Professional
Operations Research
Professional
Citizen Analyst &
Business Analyst
Data Engineer
Application
Developer
10. Rigid toolset
– Have to choose one and only one approach
– Cannot easily connect all of the capabilities
required
– Diffcult to navigate between the various tools used
Challenges that Data Scientists face….
Analytical Silo
– Diffcult to maintain and version control project
assets
– Limited means of collaborating with teams
– Results are diffcult to share
Fragmented and time consuming
– Using multiple disjoint environments
– Separate on-ramp/community for each
tool/environment
– Does not have meta data or data lineage
11. The IBM Watson Data Platform provides an interactive,
collaborative, cloud-based environment with multiple services
and tools to activate insights for data scientists.
Remove silos.
Collaborate between teams and
across technologies, from data
scientists and Data Science
Experience, to developers and
Bluemix.
Discover new insights.
Use multiple analytics
technologies, like Watson’s
cognitive abilities, to quickly
gain insights from data and
answer business questions —
faster than any other platform.
Build smarter apps.
Deliver insights to production
quickly, and continuously
improve them through rapid
iteration. So you can build
smarter, scalable applications in
less time.
12. Watson Data Platform
an integrated platform of
tools, services and data
that helps companies
accelerate their shift to
become data-driven
organizations
Access powerful tools to
prepare data to tease out the
insights they’re looking for,
without IT involvement
Data Scientist
Answer the questions that the
organization needs quickly
and easily, and without getting
IT involved
Business Analyst
App Developer
Make the insights immediately
actionable and add
intelligence to apps in
straightforward manner
Data Engineer
Easily build data pipelines that
power dashboards and data
platforms while ensuring high
quality
13. Persist
Analyze
Ingest Deploy
Projects | Data | Assets | Pipelines | APIs
Intelligent governance | Policy enforcement
Making data into insights is a team sport
Watson Data Platform
Our Core Tenets
1. Intelligent by Design
2. Collaborative for data
Professionals
3. Self-service access to
trusted data
4. Best in class streaming
and real-time analytics
5. Open and Extensible
Collaborate
Data steward Data scientistData engineer Developer
Find Share
14. Democratized data and analytics
Watson Data Platform
to organize, fnd and
understand data that
enables every project
team to quickly discover
and use data they can
trust
including open source
notebooks and tools,
shapers and data
visualizations that enable
the team to quickly
investigate any volume of
data
enable team collaboration
ensuring the enterprise
builds upon the insights
its members develop and
springboards from those
that peer organizations
and experts share.
Projects and
communities
Common tools Catalog
enabling regulatory
compliance with automatic
policy enforcement that
enables data professionals
to focus on delivering
valuable insights rather than
managing and organizing
data
Enterprise grade
governance
to disparate data sources
that makes it easy to
connect to and gather
data from anywhere
without friction
Data access
15. Data at your fingertips
In the IBM Cloud Where your data is
Watson Data Platform
16. Data Catalog
Watson Data Platform
Discover
Intelligent discovery of data, advanced classifcation
and profling to provide context
Govern
Powerful governance policy tools to control and
protect access to data with visibility to data use
Catalog
A rich metadata index of all data, with social
collaboration and enhanced fndability
Unlock tribal knowledge to unleash your
data professionals
17. Data Science Experience
Watson Data Platform
Learn
Built-in learning to get started or go the distance
with advanced tutorials
Collaborate
Community and social features that provide
meaningful collaboration
Create
The best of open source and IBM value-add to
create state-of-the-art data products
Making data science a team sport
18. Data Refinery
Watson Data Platform
Wrangle
Interactively explore, resolve quality issues, enrich,
classify, standardize, summarize and join data
Adapt
Connect to 30+ cloud and on-premises stores and
scale on demand with cataloging and governance
Flow
Create data flows visually, schedule for
repeatability, monitor and notify
A Breakthrough Approach to Explore and
Prepare Data
20. How does WDP help fulfill the promise of your data?
Watson Data Platform
Data
Puts every important data source at the fngertips
of the teams that need it wherever resides
Enforces your policies without getting in the way
of delivering insights
Makes the most of the data professionals you
have and helps them grow and learn from
each other as a team
Delivers the foundation for your frst data project
through to the complete transformation of your
business
Governance
InfrastructureSkills
