The typical perception of Big Data, Analytics, and Predicative/AI is that only the big companies can reap the benefits. Many believe they need a data warehouse, expensive reporting software, & an army of data scientists to get any value out of effort and cost. This session will explore and debunk that myth and showcase how companies of any size can participate. While there are many maturity models available, most are not designed to be practical guides to solving common business problems. Because of the explosion in cloud services, the barrier to entry has eroded significantly. We will look at some practical steps to access these capabilities and provide examples to where market-leading and growth companies have seen large benefits. Attendees will walk away with broader understanding of what’s possible to move their company through the journey in 2017. We will take a close look at IBM Watson solutions and how they integrate with IBM Collaboration and Social solutions.

1. THE DATA & ANALYTICS
JOURNEY
Why it’s more attainable for your company than ever before
© 2017 PSC
Group, LLC

3. THE THREE THINGS YOU ARE GOING TO LEARN
1. Big Data does not mean “Big Costs”
2. How mid-market / market-leading and
growth companies have seen large
benefits
3. Broader understanding of what’s
possible to move their company
through the journey
© 2017 PSC
Group, LLC

4. WHAT YOU ARE NOT GOING TO LEARN
• How to be a data scientist
• What products actually exist
• Vendor endorsement
© 2017 PSC
Group, LLC

5. • Introductions
• State of the Union – Analytics,
BI & Big Data for the Mid-Market
• Visualization
• Data Warehouse as a Service
• Cognitive Services
• Machine Learning for the Masses
• Wrap-up
© 2017 PSC
Group, LLC

6. JOHN HEAD
• Chief Evangelist & Business Development
• IBM Dual Champion - Collaboration and Cloud
• 25 years experience
• 19 Consulting, 6 sales
• Speaker of 70+ sessions at conferences and user groups around
the world
• Specialize in Application Modernization & Integration
• 5 year Lumity Exec Board Member
• YWCA of Metropolitan Chicago Exec Board Secretary, Board
Member
© 2017 PSC
Group, LLC

8. OUR METHODOLOGY
MODERNIZATION, NOT MIGRATION
Inventory
Existing
Application
Portfolio
Categorize and
Prioritize
Estimate
Modernization
Costs
Determine
Landing Platform
Network Impact
Analysis
Data Center
Impact Analysis
Define Security
Model on
Landing Platform
Establish
Tools &
Standards
Application
Transformation
Data
Transformation
Sunset
Legacy
Environment
Develop Support
and Staffing Plan
Application
Modernized!
Reduce Licensing
of Legacy
Environment
Define
Governance
Model
Modify
Infrastructure
Establish
Development
Environment
Specify and
Procure
Production
Hardware and
Software
Analysis & Design
Prepare for a more data driven,
mobile, social and dynamic future
Identify opportunities to enhance
processes, workflow and security
Technical
Analysis
Business Value
Analysis
Cultural Change
Analysis
Develop Training
Plan and
Materials
Train End Users
on Modernized
Application
ANALYZE
MODERNIZE
© 2017 PSC
Group, LLC

9. • Introductions
• State of the Union:
Analytics, BI & Big Data
for the Mid-Market
• Visualization
• Data Warehouse as a Service
• Cognitive Services
• Machine Learning for the Masses
• Wrap-up © 2017 PSC
Group, LLC

10. © 2017 PSC
Group, LLC

11. WHY NOW?
• Before 2014, Big Data/BI/Analytics was a game of the big
enterprises
• Infrastructure
• Resources
• Cost
• “Reporting” was the Mid-Market sweet spot
• Excel / Crystal / Tableau
© 2017 PSC
Group, LLC

12. WHAT CHANGED
• Since 2014, the following has changed:
1. Acceptance of the cloud
1. Start-ups vs Mid-Market vs. Enterprise
2. Cost of Entry dramatically decreased
3. Need for specialization has decreased
4. Competitive Advantage of using your data is attainable
© 2017 PSC
Group, LLC

13. “BIG” MYTHS
• “Big” in Big Data/BI/Analytics no longer means
• Big Cost
• Big Infrastructure
• Big Maintenance
• Big Teams
• Big Data/BI Analytics is accessible to companies of any size
© 2017 PSC
Group, LLC

14. BUSINESS INTELLIGENCE MATURITY ROADMAP
Fixed
What is going on?
Self Service
Let me see what is going on.
Monitoring
Are we meeting our KPIs?
Predictive
How can we be more efficient?
Increasingly
Mission Critical
Increasingly
resource intensive
© 2017 PSC
Group, LLC

15. • Introductions
• State of the Union – Analytics,
BI & Big Data for the Mid-Market
• Visualization
• Data Warehouse as a Service
• Cognitive Services
• Machine Learning for the Masses
• Wrap-up
© 2017 PSC
Group, LLC

16. VISUALIZATION
• (Data) Visualization is a general term that describes any effort to
help people understand the significance of data by placing it in a
visual context. Patterns, trends and correlations that might go
undetected in text-based data can be exposed and recognized
easier with data visualization software.
© 2017 PSC
Group, LLC

17. VISUALIZATION
“The source and center of all man's creative power... is his power of
making images, or the power of imagination.”
Robert Collier
© 2017 PSC
Group, LLC

18. VISUALIZATION
Traditional On Premises Tools
• Visualization as an IT service
• Excel to enterprise grade
• Reliance on someone else
providing the data service
Cloud Based Tooling
• Visualization as a Platform
• API Architecture
• Consumption of services
© 2017 PSC
Group, LLC

19. THE ANALYTICS STORY
Reporting
•What’s
happening?
BI
•Why is this
happening?
Predictive
analytics
•What is likely to
happen next?
© 2017 PSC
Group, LLC

20. BI FOR THE MASSES
Everyone
Analysttoenduser
ITtoenduser
2nd wave
Self-service BI
1stwave
Technical BI
3rdwave
End user BI
© 2017 PSC
Group, LLC

21. TURNING DATA INTO BUSINESS
INSIGHTS IS CHALLENGING
Common BI challenges include…
Multiple data sources Data residing in SaaS solutions and other external locations is
difficult to access and refresh securely
End-to-end view Data often resides in disparate locations, making it difficult to
see a complete picture of your business
Right data for the right users
at the right time
Different roles have different needs and business users need
the latest operational data
© 2017 PSC
Group, LLC

22. DATA SOURCES
• Connect to cloud services you already use -
popular SaaS solutions
• Quickly start with solution-specific content
packs which include
• Explore data with fast data processing
• Automatic data refresh is built-in
© 2017 PSC
Group, LLC

23. KEEP ALL YOUR DATA CURRENT
• Real-time dashboards
• Live connectivity
• Automatic or scheduled
refreshes
Live query
Popular SaaS Solutions
Live dashboards and reports
Dynamics Marketing
BI
SQL Server Analysis
Services (SSAS)
Secure
Credential
Store
© 2017 PSC
Group, LLC

24. CLOUD BASED BI BUILDER
BI REST APIsBI Desktop
Prepare Explore ShareReport
Data sources
SaaS solutions
e.g. Marketo, Salesforce, GitHub,
Google analytics
On-premises data
e.g. Analysis Services
Custom content packs
Corporate data sources or external
data services
Cloud services
SQL, Stream Analytics…
Excel files
Workbook data / data models
BI Desktop files
Data from files, databases, Cloud, and
other sources
BI service
Data refresh
Visualizations
Live dashboards
Content packs Sharing & collaborationNatural language query
Reports
Datasets01001
10101
© 2017 PSC
Group, LLC

25. SELF SERVICE PREDICTIVE ANALYTICS
© 2017 PSC
Group, LLC

26. THE VALUE OF DATA
• With the success of Platform as a Service IBM is moving quickly to
compete with their visualization and analytics platform.
• Exclusive Access to the complete Twitter and Weather Channel
data streams.
© 2017 PSC
Group, LLC

27. CASE STUDY: CHICAGO
CHILDREN’S HOSPITAL
• Goal: Reduce the readmission rate of patients
and increasing the percentage of provider
appointments offered during family-friendly
hours.
• Challenge: Large number of underlying data
sources and methods for accessing data.
• Solution: The team was trained to better
understand how to proactively reduce
readmission rates by digging into the data to
determine if a patient is being readmitted for
the same issue or a different one, if they’re
seeing the same provider, the therapy that is
being prescribed, and more. Likewise, they can
evaluate key trends in relationship to provider
appointments during family-friendly hours.
© 2017 PSC
Group, LLC

28. • Introductions
• State of the Union – Analytics,
BI & Big Data for the Mid-Market
• Visualization
• Data Warehouse
as a Service
• Cognitive Services
• Machine Learning for the Masses
• Wrap-up
© 2017 PSC
Group, LLC

29. DATA WAREHOUSING AS A SERVICE
• Data Warehousing as a Service (DWaaS) is an outsourcing model
in which a service provider configures and manages the hardware
and software resources a data warehouse requires, and the
customer provides the data and pays for the managed service.
© 2017 PSC
Group, LLC

30. DATA WAREHOUSING AS A SERVICE
"We are using Cloud Data Warehouse’s elasticity and scaling capabilities to
scale up our systems when we need to do analytics on all the data we are
collecting from thousands of devices, and then scale down, thus optimizing on
cost without compromising performance."
Roger Shih, Senior Technical Product Manager, Toshiba America Business
Solutions
© 2017 PSC
Group, LLC

31. DATA WAREHOUSING AS A SERVICE
• Amazon RedShift
• Microsoft Azure Data Warehouse
• Google Big Query
• IBM dashDB
© 2017 PSC
Group, LLC

32. A MODERN DATA WAREHOUSE AS A SERVICE
• Amazon RedShift
• Microsoft Azure Data Warehouse
• Google Big Query
• IBM dashDB
BI and analytics
Data management and processing
Data sources Non-relational data
Data enrichment and federated query
OLTP ERP CRM LOB Devices Web Sensors Social
Self-service Corporate Collaboration Mobile Machine learning
Single query model Extract, transform, load Data quality Master data management
Box software Appliances Cloud
SQL Server
Box software Appliances Cloud
© 2017 PSC
Group, LLC

33. A MODERN DATA WAREHOUSE AS A SERVICE

34. REAL TIME ELASTICITY
Resize in <1 minute On-demand compute
Expand or reduce
as needed
© 2017 PSC
Group, LLC

35. MASSIVELY PARALLEL PROCESSING

36. CLOUD FLEXIBILITY
App Service
Intelligent App
Hadoop
Machine Learning
BI
DatabaseData
Warehouse
© 2017 PSC
Group, LLC

37. CLOUD FLEXIBILITY

38. CASE STUDY: UK NATIONAL AIR
TRAFFIC SERVICES (NATS)
• Goal: Using ever increasing data volume to
address compliance needs
• Challenge: Providing a flexible on demand
platform to handle more people while reducing
pollution and risk.
• Solution: Using a cloud data warehouse
solution NATS were able to analyze a flight plan
versus a flight’s actual trajectory and accurately
model fuel usage and CO2 output to
understand the effect of network influences
and operational decisions. This enables the
strategic management of the air traffic
operation with more information to hand, and
have more confidence in our decisions.
© 2017 PSC
Group, LLC

39. • Introductions
• State of the Union – Analytics,
BI & Big Data for the Mid-Market
• Visualization
• Data Warehouse as a Service
• Cognitive Services
• Machine Learning for the Masses
• Wrap-up
© 2017 PSC
Group, LLC

40. COGNITIVE SERVICES
• Cognitive computing is the simulation of human thought
processes in a computerized model. Cognitive computing involves
self-learning systems that use data mining, pattern recognition
and natural language processing to mimic the way the human
brain works.
© 2017 PSC
Group, LLC

41. COGNITIVE SERVICES
“What I excited about is that these tools will unleash the creativity
necessary to ultimately help us gain market share in our industry.”
Prashant Bhuyan, Co-Founder, Alpha Modus
© 2017 PSC
Group, LLC

42. EVOLUTION OF BUSINESS INTELLIGENCE
• Next step in BI and analytics is service based
• Cognitive analytics
• Service based intelligence
© 2017 PSC
Group, LLC

43. WHAT ARE COGNITIVE SERVICES?
• Set of core services delivered via API’s and SaaS products
• Core Services:
• Translation
• Discovery
• Image recognition
• Language patterns
© 2017 PSC
Group, LLC

44. COGNITIVE API SERVICES
• Vision
• Content Moderator
• Emotion
• Face
• Video
• Text to Speech
• Speaker Recognition
• Linguistic Analysis
• Text Analytics
• Translator
• Knowledge Exploration Service
• Recommendations
• Search
© 2017 PSC
Group, LLC

45. COGNITIVE API SERVICES

46. BUILDING COGNITIVE SERVICES INTO
YOUR APPLICATION
© 2017 PSC
Group, LLC

47. CASE STUDY:
HYPERFISH
• Goal: Increase collaboration within an
organization by helping to fill holes in
personnel directory data.
• Challenge: Users have no picture or can
post any image.
• Solution: Using cognitive services as part
of their solution HyperFish are able to
determine the number of people in a
picture. If the likelihood of this being not
equal to one, the user is asked to provide
as alternative image.
© 2017 PSC
Group, LLC

48. • Introductions
• State of the Union – Analytics,
BI & Big Data for the Mid-Market
• Visualization
• Data Warehouse as a Service
• Cognitive Services
• Machine Learning
for the Masses
• Wrap-up
© 2017 PSC
Group, LLC

49. MACHINE LEARNING
• Machine learning is the subfield of computer science that gives
"computers the ability to learn without being explicitly
programmed.“ Evolved from the study of pattern recognition and
computational learning theory in artificial intelligence,machine
learning explores the study and construction of algorithms that
can learn from and make predictions on data.
© 2017 PSC
Group, LLC

50. MACHINE LEARNING
“The trouble is, data scientists rarely sit down and talk to business
people. If a technical book company wants to sell more books, then
the business question it really should ask itself is: how do people
want to learn today?”
Tricia Wang founder Constellate Data
© 2017 PSC
Group, LLC

51. CASE STUDY: CLAIRE
• Retail prediction chat bot
• Surfaced through Salesforce
infrastructure
• Disrupting retail industry product
testing
• Developed by 2 people
© 2017 PSC
Group, LLC

52. CLOUD PREDICTIVE ANALYTICS
• Drag and drop Predictive Analysis
• Visual comprehension of the ideas and concepts
• Cloud based
• As complex as you need it to be
• Accessible as a service
© 2017 PSC
Group, LLC

53. DRAG AND DROP PREDICTIVE ANALYTICS
© 2017 PSC
Group, LLC

54. DRAG AND DROP CONNECTIVITY
© 2017 PSC
Group, LLC

55. ACCESSIBILITY OF KNOWLEDGE
© 2017 PSC
Group, LLC

56. CASE STUDY: TACOMA
PUBLIC SCHOOLS
• Goal: Reduce school dropout rates
• Challenge: Significantly improve the “dropout
factory” 55% graduation rates.
• Solution: The Tacoma public school district has
delivered a dramatic turnaround – eight years
ago five of the high schools were described as
“dropout factories”, and five years ago just 55%
of students graduated on time, compared to
81% nationally. But last year that had been
boosted to 78%, ensuring that the district is
recognized nationally for its educational
achievements. The district is now developing
the next level of data-driven improvement with
the help of Machine Learning.
© 2017 PSC
Group, LLC

57. • Introductions
• State of the Union – Analytics,
BI & Big Data for the Mid-Market
• Visualization
• Data Warehouse as a Service
• Cognitive Services
• Machine Learning
for the Masses
• Wrap-up

58. THE THREE THINGS YOU
LEARNED
1. Big Data does not mean “Big Costs”
2. How mid-market / market-leading and
growth companies have seen large
benefits
3. Broader understanding of what’s
possible to move their company
through the journey
© 2017 PSC
Group, LLC

59. Thank You! Questions?
Contact:
John Head
331.684.7114
jhead@psclistens.com
© 2017 PSC
Group, LLC