Powering Systems of Engagement

Building a System of Engagement with MongoDB

{ Name: ‘Bryan Reinero’,Title: ‘Developer Advocate’,

Twitter: ‘@blimpyacht’,Email: ‘[email protected]’ }

mailto:[email protected]

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Systems of Engagement

• Real-Time • Context-Aware• Encourage

Interaction• Embedded in

Business Systems

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Systems of Engagement

• Context rich and User Relevant Interactions

• Integrates data from many systems

• Integrates Analytics

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The Importance of Engagement

• 74% Consumer would respond positively to companies that understand them

• 57% Would recommend the company• 29% Would make additional purchases

2013 Experian study

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• 84% Would walk away from a non-responsive company• 45% from a company that contacted them when they had asked

not to• 52% Would leave a company that tries to sell them something

they already said they weren't interested in


2013 Experian study

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• 84% Would walk away from a non-responsive company• 45% from a company that contacted them when they had asked

not to• 52% Would leave a company that tries to sell them something

they already said they weren't interested in


How is the application of value to the user?

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Department of Veterans Affairs

20+ million Veterans in the US today

Doctors need a single view of a patient’s health record.What happens when a patient has to change their address?

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Customer Single View

• Understand customer relationships

• Improves customer experience • Develops effective customer

marketing• Improves product

Requirements

• High performance requirements• Increasingly large datasets• High Availability

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Architecture

Systems of EngagementD

ata

Serv

ices

Systems of Record

Master Data

Raw Data

Integrated Data

…

ETLrecord

record

record

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Aggregating a Single View

Single customerVIEW

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Common Data

Source Metadata

Source Data A

Source Data B

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Common Data

Source Metadata

Source Data A

Source Data B

{ _id: <hash>, address: {

num: 860,street: “Grove”,city: “San Francisco”,state: “CA”,zip:

}}

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Common Data

Source Metadata

Source Data A

Source Data B

{ sources: [ { source: “URI”, updated: ISODate(), },

… ]}

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Common Data

Source Metadata

Source Data A

Source Data B

Shopping Cart,Purchase history,Prescriptions,Medical History,

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Multiple Data Sources

• Wearable Devices• Embedded Systems• Internet of Things

The Point of Engagement

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The Scavenger Hunt App

Users create scavenger hunts by “pinning” waypoints

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The Checkpoint Document

{_id: ObjectId(),user: UUID,huntId: UUID,timestamp: ISODate(), geometry: {

type: "Point",coordinates: [125.6,

10.1]}

}

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10.1]}

}

db.checkpoints.ensureIndex(timestamp: -1,geometry: “2dsphere”

);

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db.checkpoints.find({ date: {$gt: <10mins ago> } geometry: { $near:{ { type : "Point" , coordinates : [ -173, 40.7 ] }, $maxDistance : 100 }}});



10.1]}

}

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The Scavenger Hunt App

Business Requirements• Location Based

Targeting• Enable Social

Interactions• Recommendations

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Waypoint{ _id: ObjectId(), name: "Doug’s Coffee", desc: "The best brew", offers: [ ”Morning rush hour discount",

”Order ahead with our app",”Start your digital frequent

flyer card" ], "geometry": { "type": "Point", "coordinates": [125.6, 10.1] }};

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Geospacial Index:ensureIndex( { geometry: “2dsphere” } )

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10.1]}

}

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10.1]}

}

db.checkpoints.ensureIndex(timestamp: -1,geometry: “2dsphere”

);

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db.checkpoints.find({ date: {$gt: <10mins ago> } geometry: { $near:{ { type : "Point" , coordinates : [ -173, 40.7 ] }, $maxDistance : 100 }}});



10.1]}

}

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Geo Targeting

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Geo Targeting

{ "type": "Polygon", "coordinates" : [ [ [ -73.969581, 40.760331 ], [ -73.974487, 40.762245 ], [ -73.977692, 40.763598], [ -73.979508, 40.761269 ], [ -73.982364, 40.762358 ], [ -73.983692, 40.760497 ], [ -73.972821, 40.755861 ], [ -73.969581, 40.760331 ] ] ]}

Defines a business service area

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$geoIntersects

{ $geoIntersects: { $geometry: { "type": "Point", "coordinates": [ -73.975010, 40.760071 ] } } }

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Defining Service Areas

Data Driven Decisions• Find users within a given area• Intersections with multiple service areas• Fraud detection• Where are my competitors located

Social Interactions

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Social Interactions

Requirements• Allow users to follow one

another• Allow users to exchange

messages • Send users notifications

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Social Interactions

Eratosthenes

Democritus

Hypatia

Shemp

Euripides

Graph modelsPersonal RelationshipsRecommendation Engines

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Social Interactions

Followers Collection{ follower: ‘Shemp’, followed: ‘Euripides’},{ follower:‘Shemp’, followed: ’Eratosthenes”},{ follower: “Eratosthenes’, followed: ‘Shemp’ },…

Eratosthenes

Democritus

Hypatia

Shemp

Euripides

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Social Interactions

Eratosthenes

Democritus

Hypatia

Shemp

Euripides


! (Euripides -> Shemp )

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Social Interactions

db.followers.find( { follower:‘Shemp’ } );


Notifications

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Personal Timeline / Hotlist

{

_id: UUID,

user: ”Democritus",

hotList" : [

{

message: "New scavenger hunt tomorrow!",

url: "http://bit.ly/1hKn9ff",

date" : ISODate()

},

{

message: "Get 50% off at Toga City",

url: "http://bit.ly/1KnlFHQ",

date: ISODate()

}

],

atime: ISODate("2015 03 13T04:38:43.606Z")

}

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Personal Timeline / Hotlist

Notifications of highest user relevance

{

_id: UUID,

user: ”Democritus",

hotList" : [

{

message: "New scavenger hunt tomorrow!",

url: "http://bit.ly/1hKn9ff",

date" : ISODate()

},

{

message: "Get 50% off at Toga City",

url: "http://bit.ly/1KnlFHQ",

date: ISODate()

}

],

atime: ISODate("2015 03 13T04:38:43.606Z")

}

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Write to Bucket

Parameters• User

db.user.update( {"user" : "Democritus"}, {$push: { hotList: { $each:

[ { o: 10, <MESSAGE> }, { o: 7, <MESSAGE> }, … ], $sort: { o: -1 },

$slice: 50 } }});

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Write to Bucket

Parameters• user• $push append to end of hotList array



$slice: 50 } }});

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Write to Bucket

Parameters• user• $push append to end of hotList array• $each list of message elements



$slice: 50 } }});

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Write to Bucket

Parameters• user• $push append to end of hotList array• $each message in array• $sort the resulting array in descending order



$slice: 50 } }});

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Write to Bucket

Parameters• user• $push append to end of hotList array• $each message in array• $sort the resulting array in descending order• $slice include only the first 50 elements



$slice: 50 } }});

Analytics

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Analytics

• Behavioral analytics• Segmentation• Fraud detection• Prediction• Pricing analytics• Sales analytics

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Analytics


ata

Serv

ices

Data Processing Integration, Analytics, etc.

Systems of Record

Master Data

Raw Data

Integrated Data

…

ETLrecord

record

record

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MongoDB as an Operational Store

Application Server

Other DBMS

& Legacy systems

Data Capture

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Capture Data Changes


ata

Serv

ices

Data Processing Integration, Analytics, etc.

Systems of Record

Master Data

Raw Data

Integrated Data

…

ETL

Bus

Apache Kafka

record

record

record

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Many Complexities to Tackle

• Data modeling• Data Extraction (ETL)• Change Data Capture (CDC)• Data Governance• Data Lineage• Security

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How is the application of value to the user?

Thanks!

{ Name: ‘Bryan Reinero’,Title: ‘Developer Advocate’,

Twitter: ‘@blimpyacht’,Email: ‘[email protected]’ }

mailto:[email protected]

Technology

Powering Systems of Engagement