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Getting Insights Through
Conversational Analytics
Anand Ranganathan
Chief AI Officer, Unscrambl
anand@unscrambl.com
The Times They Are
A-Changin'
#newnormal
#heretostay
#wfa
#remotemeetings
“We have seen two years' worth of digital transformation
in two months” Satya Nadella, CEO Microsoft#bigshift
However, data remains the bottleneck
“Data adoption” remains low and continues to drop
in many organizations
31%
of businesses say
they are data driven,
down from 37% in
2017.
Source: NewVantage Partners, PMNewsWire
only
TOO MUCH TIME
(DELAY)
TOO MANY PEOPLE
(DEPENDENCY)
TOO MANY TOOLS
(DIFFICULT)
Business users just find it too complex to access data
Business Users, Decision Makers
Everything else is here,
and so is data.
Specialist
Resources
Applications &
Tools
Data
Stores
Work happens here.
Gaphaswidened
Covid Datasets
Even the general public
struggles to get insights from
publicly available datasets
TechnicalGap
JHU Dataset
Wall Street Journal
Dataset
New York Times
Dataset
General Public
Most people get their insights from pre-built
dashboards
Limited or no drill-downs
Don’t know how the data for the dashboards
is produced
Can’t ask a slightly different question
Representative of an opinion; easy to
cherry-pick stats
Can be misleading
A recent example
Claim: The United States is doing amazing in
controlling the pandemic compared to other countries
Reality: The United
States is not doing so
great
Another recent example
USA Today fact checked this & labeled
it as False:
● MD has a republican governor
● Democratic states had:
○ 40k less number of cases
○ 5k less deaths
● Republican states had:
○ 3.5k higher number of cases
○ 1.2k higher deaths
● Significant under-reporting of cases
because of lack of testing overall
● Conflating correlation with causation
○ Density and demographics are better
predictors than politics
Therefore, Facebook
labelled it as False too
The solution
Let people play with the raw data themselves!
One approach - Conversational Analytics
By 2020,
50% of analytical queries
will be generated via search, natural language
processing or voice or will be automatically generates
- Gartner
Conversational
Ask questions in natural
language & get responses in
natural language & charts
NLP, ML, Automated Insights,
Automated Visualizations, &
Personalization
Combines different AI
technologies
Integrates with common
platforms like Msft Teams
& Slack
Integrate with
Collaboration Platforms
OLD WORLD
NEW WORLD
I get insights by simply asking for it.
My own personal data analyst who
knows what I need.
I don’t even have access to my own
data. It takes days to get answers to
simple questions.
Introducing qbo - your personal AI data analyst
Hey qbo, what’s
the response for
trade
promotions from
last month so
far?
What are the
predicted sales
for the next 15
days?
Why have sales
dropped in this
month?
Show me the
trend for sales
by time of day
Can be used for different use-cases by people in
different roles in a variety of industries
Why is revenue
in August lower
than the
previous month?
Who were the
worst 5
suppliers in
terms of
shipping delays
in 2019?
What is the
predicted order
volume from
NYC for the
next 2 months
What was the
average
revenue per
customer per
month in 2018
Supply Chain
Revenue
Can be used for different use-cases by people in
different roles in a variety of industries
Which campaign
had the best
take-up rate over
control group in
the last 2 years
What is the
average life
span for men in
WV in the coal
industry
How many cash
transactions
were made by
customers in
New York ?
How many
customers
responded to
the 2-for-1
promotion on
Facebook
Fraud Detection and
Risk Management
Marketing
Demo
Data-driven organizations, without a doubt, will continue
to lead their respective industries. Imagine
Not having to
wait for data
Interacting with
data, anywhere
Slice-dice analyze,
on a whim
Present findings,
act and repeat
Powering a group
collab with data
Imagine…
#futureofwork
Try it out at :
https://qbo.ai/

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Getting Insights through Conversational Chatbots for Analytics

  • 1. Getting Insights Through Conversational Analytics Anand Ranganathan Chief AI Officer, Unscrambl anand@unscrambl.com
  • 2. The Times They Are A-Changin' #newnormal #heretostay
  • 3. #wfa #remotemeetings “We have seen two years' worth of digital transformation in two months” Satya Nadella, CEO Microsoft#bigshift
  • 4. However, data remains the bottleneck
  • 5. “Data adoption” remains low and continues to drop in many organizations 31% of businesses say they are data driven, down from 37% in 2017. Source: NewVantage Partners, PMNewsWire only TOO MUCH TIME (DELAY) TOO MANY PEOPLE (DEPENDENCY) TOO MANY TOOLS (DIFFICULT) Business users just find it too complex to access data
  • 6. Business Users, Decision Makers Everything else is here, and so is data. Specialist Resources Applications & Tools Data Stores Work happens here. Gaphaswidened
  • 7. Covid Datasets Even the general public struggles to get insights from publicly available datasets TechnicalGap JHU Dataset Wall Street Journal Dataset New York Times Dataset General Public
  • 8. Most people get their insights from pre-built dashboards Limited or no drill-downs Don’t know how the data for the dashboards is produced Can’t ask a slightly different question Representative of an opinion; easy to cherry-pick stats Can be misleading
  • 9. A recent example Claim: The United States is doing amazing in controlling the pandemic compared to other countries Reality: The United States is not doing so great
  • 10. Another recent example USA Today fact checked this & labeled it as False: ● MD has a republican governor ● Democratic states had: ○ 40k less number of cases ○ 5k less deaths ● Republican states had: ○ 3.5k higher number of cases ○ 1.2k higher deaths ● Significant under-reporting of cases because of lack of testing overall ● Conflating correlation with causation ○ Density and demographics are better predictors than politics Therefore, Facebook labelled it as False too
  • 11. The solution Let people play with the raw data themselves!
  • 12. One approach - Conversational Analytics By 2020, 50% of analytical queries will be generated via search, natural language processing or voice or will be automatically generates - Gartner Conversational Ask questions in natural language & get responses in natural language & charts NLP, ML, Automated Insights, Automated Visualizations, & Personalization Combines different AI technologies Integrates with common platforms like Msft Teams & Slack Integrate with Collaboration Platforms
  • 13. OLD WORLD NEW WORLD I get insights by simply asking for it. My own personal data analyst who knows what I need. I don’t even have access to my own data. It takes days to get answers to simple questions.
  • 14. Introducing qbo - your personal AI data analyst Hey qbo, what’s the response for trade promotions from last month so far? What are the predicted sales for the next 15 days? Why have sales dropped in this month? Show me the trend for sales by time of day
  • 15. Can be used for different use-cases by people in different roles in a variety of industries Why is revenue in August lower than the previous month? Who were the worst 5 suppliers in terms of shipping delays in 2019? What is the predicted order volume from NYC for the next 2 months What was the average revenue per customer per month in 2018 Supply Chain Revenue
  • 16. Can be used for different use-cases by people in different roles in a variety of industries Which campaign had the best take-up rate over control group in the last 2 years What is the average life span for men in WV in the coal industry How many cash transactions were made by customers in New York ? How many customers responded to the 2-for-1 promotion on Facebook Fraud Detection and Risk Management Marketing
  • 17. Demo
  • 18. Data-driven organizations, without a doubt, will continue to lead their respective industries. Imagine Not having to wait for data Interacting with data, anywhere Slice-dice analyze, on a whim Present findings, act and repeat Powering a group collab with data
  • 19. Imagine… #futureofwork Try it out at : https://qbo.ai/