Drive Business Impact Transformation to Accelerating Digital€¦ · Anti-Pattern: IT + Data...

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Accelerating Digital Transformation to Drive Business Impact

Transcript of Drive Business Impact Transformation to Accelerating Digital€¦ · Anti-Pattern: IT + Data...

Page 1: Drive Business Impact Transformation to Accelerating Digital€¦ · Anti-Pattern: IT + Data Science/Analytics not aligned in goals & priorities with business stakeholders, resulting

Accelerating Digital Transformation to

Drive Business Impact

Page 2: Drive Business Impact Transformation to Accelerating Digital€¦ · Anti-Pattern: IT + Data Science/Analytics not aligned in goals & priorities with business stakeholders, resulting

About Me● Director Data Science, SparkBeyond

● 18 years in Data Science & Analytics, leading companies through their digital

transformations.

● Professor of Data Science at NYU.

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Page 3: Drive Business Impact Transformation to Accelerating Digital€¦ · Anti-Pattern: IT + Data Science/Analytics not aligned in goals & priorities with business stakeholders, resulting

SparkBeyond: If data is the new oil...

Page 4: Drive Business Impact Transformation to Accelerating Digital€¦ · Anti-Pattern: IT + Data Science/Analytics not aligned in goals & priorities with business stakeholders, resulting

SparkBeyond = Elastic Refinery

People - Technology - Process

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Components of Digital Transformation

Data (necessary but not sufficient)

Page 6: Drive Business Impact Transformation to Accelerating Digital€¦ · Anti-Pattern: IT + Data Science/Analytics not aligned in goals & priorities with business stakeholders, resulting

Components of Digital Transformation

Data (necessary but not sufficient)

Insight (necessary but not sufficient)

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Components of Digital Transformation

Data (necessary but not sufficient)

Insight (necessary but not sufficient)

Action (no action, no impact)

Page 8: Drive Business Impact Transformation to Accelerating Digital€¦ · Anti-Pattern: IT + Data Science/Analytics not aligned in goals & priorities with business stakeholders, resulting

Components of Digital Transformation

Data (necessary but not sufficient)

Insight (necessary but not sufficient)

Action (no action, no impact)

Organizational + Executive Alignment

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Avoid Failure Points for Successful Transformations

Common DT Failure Patterns/SolutionsAnti-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 outcomesSolution: 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.

Page 10: Drive Business Impact Transformation to Accelerating Digital€¦ · Anti-Pattern: IT + Data Science/Analytics not aligned in goals & priorities with business stakeholders, resulting

Avoid Failure Points for Successful Transformations

Common DT Failure Patterns/SolutionsAnti-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 outcomesSolution: 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 TransformationsINSURANCEA ‘glass-box’ underwriting solution increased automated underwriting by 4x; discovering who was surrendering from retirement accounts and why drove $26m in impact.

FINANCIAL SERVICESSparkBeyond 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.

PHARMACEUTICALSDiscovered 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.

RETAILA 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.

CPGSparkBeyond improved a partner’s annual gross margins by $6M by identifying store segments where tailored pricing schemes could be applied.

TELCO / MEDIAMajor US telco was suffering from churn and exhausted meaningful patterns to predict who would leave. SparkBeyond generated $100m in impact by identifying over 20 new churn drivers in a week covering 80% of churners.

20 Most Promising Cognitive

Solution Providers 2017Entrepreneurial Company of the Year 2016 Award in ML Analytics in Oil Gas

2016 Machine Intelligence 3.0 highlight