SLIDE 1
About Me
- Director Data Science, SparkBeyond
- 18 years in Data Science & Analytics, leading companies through their digital
transformations.
- Professor of Data Science at NYU.
2
Accelerating Digital Transformation to Drive Business Impact About - - PowerPoint PPT Presentation
Accelerating Digital Transformation to Drive Business Impact About - - PowerPoint PPT Presentation
Accelerating Digital Transformation to Drive Business Impact About Me Director Data Science, SparkBeyond 18 years in Data Science & Analytics, leading companies through their digital transformations. Professor of Data Science at
SLIDE 2
SLIDE 3
SparkBeyond: If data is the new oil...
SLIDE 4
SparkBeyond = Elastic Refinery People
- Technology -
Process
SLIDE 5
Components of Digital Transformation
Data (necessary but not sufficient)
SLIDE 6
Components of Digital Transformation
Data (necessary but not sufficient) Insight (necessary but not sufficient)
SLIDE 7
Components of Digital Transformation
Data (necessary but not sufficient) Insight (necessary but not sufficient) Action (no action, no impact)
SLIDE 8
Components of Digital Transformation
Data (necessary but not sufficient) Insight (necessary but not sufficient) Action (no action, no impact) Organizational + Executive Alignment
SLIDE 9
Avoid Failure Points for Successful Transformations
Common DT Failure Patterns/Solutions
Anti-Pattern: IT + Data Science/Analytics not aligned in goals & priorities with business stakeholders, resulting in data and insights that don’t solve the right problems. Solution: Peg all IT, Data & Analytics investments with a business KPI in mind. Have business stakeholders share goals and prioritization. Anti-Pattern: Analytics research & insight discovery is slow with unpredictable outcomes Solution: Leverage technology where possible to boost productivity, and be agile. Goal is to fail fast or succeed quickly. Anti-Pattern: Organizations don’t operationalize their insights and models in a testable way to drive and measure impact. Solution: Define possible operational paths prior to starting any data and analytics projects. Don’t proceed unless there are viable paths.
SLIDE 10
Avoid Failure Points for Successful Transformations
Common DT Failure Patterns/Solutions
Anti-Pattern: IT + Data Science/Analytics not aligned in goals & priorities with business stakeholders, resulting in data and insights that don’t solve the right problems. Solution: Peg all IT, Data & Analytics investments with a business KPI in mind. Have business stakeholders share goals and prioritization. Anti-Pattern: Analytics research & insight discovery is slow with unpredictable outcomes Solution: Leverage technology where possible to boost productivity, and be agile. Goal is to fail fast or succeed quickly. Anti-Pattern: Organizations don’t operationalize their insights and models in a testable way to drive and measure impact. Solution: Define possible operational paths prior to starting any data and analytics projects. Don’t proceed unless there are viable paths.
Solve with: Technology Solve with: People & Process Solve with: People, Process & Technology
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Our Product Thesis - Accelerate Insights
Discovery Platform
- Generates millions of
hypotheses in minutes
- Connects the dots between
disparate events and data sources
- Discovers patterns,
explanations, correlations in complex data
- Focus on model transparency
Many organizations get stuck in the Insights phase as a result of human cognitive bottlenecks, lack of data science resources, lack of data and the time to code up ideas.
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SparkBeyond, Enabling Digital Transformations
INSURANCE
A ‘glass-box’ underwriting solution increased automated underwriting by 4x; discovering who was surrendering from retirement accounts and why drove $26m in impact.
FINANCIAL SERVICES
SparkBeyond created over 170 drivers that were able to capture 86% of the fraudulent cases within the top 15% ranked cases for a global services company investigating fraudulent credit card payments.
PHARMACEUTICALS
Discovered a novel technique for colon cancer detection through blood tests; developed a unique three-way partnership between HMOs and pharmaceutical companies to scale drug testing.
RETAIL
A leading retailer optimized locations for the rollout of the next 1,000 branches. SparkBeyond augmented the client’s sales history with external datasets, identifying unexpected drivers, such as the proximity to laundromats.
CPG
SparkBeyond improved a partner’s annual gross margins by $6M by identifying store segments where tailored pricing schemes could be applied.
TELCO / MEDIA
Major US telco was suffering from churn and exhausted meaningful patterns to predict who would
- leave. SparkBeyond generated
$100m in impact by identifying
- ver 20 new churn drivers in a
week covering 80% of churners.
20 Most Promising Cognitive Solution Providers 2017 Entrepreneurial Company of the Year 2016 Award in ML Analytics in Oil Gas 2016 Machine Intelligence 3.0 highlight