SlideShare a Scribd company logo
Bridging Salesforce and
Modern Analytics
Feb 26th, 2019
Chris Reiter
Sr. Solution Architect
Daniel Pilla
Sr. Enterprise Architect
2
Visualization alone is insufficient
Guess who?
3
The Associative Difference®
vs.
✓ All your data
✓ Explore without boundaries
✓ Speed of thought
✓ Unexpected insights
The Qlik Associative Engine
x Partial subsets of data
x Restricted linear exploration
x Slow performance
x “Ask, wait, answer” cycle
Query-Based Tools
4
ANALYTICS
Data Manager
(ETL from Publishing, Big Data
Index + other data sources)
Data Lake Pipeline(1), (2)
(Orchestration, automation, analytics
ready datasets)
Data Catalog(2)
(Profiling, Lineage, Governance and
Provisioning, Validation, Audit )
Marketplace/Publishing (2)
(Storefront, Shopping Cart/Checkout)
Change Data Capture (1)
(Real Time streaming, Replication, Cloud
Delivery)
Visualization alone
is insufficient
(1) (2)
What is the new Qlik platform?
A modern analytics platform providing options to enable the entire Data, Analytics and Decisions supply chain
Data Science
(Cognitive Engine, Insights Advisor
& Integration with Python/R/DataRobot)
Functions/Expressions
(Statistics, TVOM, Text,
Variables, Set Analysis)
Geo Spatial
(Full library of
Geo Calcs, mapping)
Associative Engine
(in memory, “full outer join”, search, open api’s)
Reporting
(PDF, Alerting, Office Integration)
Mobile first
(Online & Offline, BYOD, EMM Integration)
Custom applications
(Containers, Chatbots, OEM, api’s)
Governed Self Service
Guided Dashboards
Embedded analytics
(3rd party integration, mashups, api’s)
• From extracting raw data to insights & decisions
5
Customer Engagements
• Account & Channel Relationship Management
• Customer Segmentation/Targeting & Call Lists
• Acquisitions, Renewals & Churn
• Historical/Demographic Purchasing Patterns
• Customer Satisfaction & Advocacy
Market Segmentation
• Trending and Whitespace Analysis
• Territory Design
• What-If Analysis
• Compensation and Quota Optimization
Strategy
• Territory Analysis
• Cross-Functional Alignment
• Sales Cycle Analysis & Negotiation Analysis
• Transparency
• Product/Pricing Mix
Pricing & Profitability
• Income P&L Breakdown, EBIT & ROI
• What-If Analysis
• Revenue & Margin (Pricing & Discount Analysis)
• Resource and Growth Allocation
• COGS and Expense Analysis
Operational
• Forecasting
• Budgeting
• Investment Opportunities & Returns
• Campaign Planning
• Expense Management
Product Analysis
• Availability, Configuration, & Mix
• Profitability/Margins
• Cross-sell / Up-sell
• Customer Satisfaction & Advocacy
• End-of-life, Seasonality and Supply/Demand Models
• Promotions, Coupons & Discounting
Pipeline Management
• Lead & Opportunity Progression
• Forecast Accuracy & Conversion Analysis
• Predictive Capabilities
• Single View of Leads, Contacts, Accounts & Campaigns
• Multiple Data Dimensions
Process and Procedures
• Balancing Stakeholder Priorities
• Agile/Fast-Paced Decision Making
• Collaboration and Reporting
• Sales Cycles and Stages
• Risk Resolution
Sales Performance Solution Areas
6
• $100 million added revenue from monitoring and quickly addressing sales support & service contracts
• $4m in cost saving attributed to Qlik
• 96% year over year increase in sales productivity
• 12 weeks for entire deployment
• £1+ million saved by stock loss and sales analysis
• 70%+ of sales staff use Qlik everyday to review performance
• 5000+ branch sales users deployed in < 6 months
• Big Data: 4.3 million customers with 260 million agreements and 800 billion cells analyzed in Qlik
• 99% reduction in time spent on sales-related reporting
• Reduced audit time for 3 weeks to 2-3 days
• 17% sales growth over 2 yrs attributed to Qlik
• $400,000 savings achieved over a period of two years
• 50% increase in customer response times
Sales Performance Results with Qlik
7
Points of
Integration
8
What is Qlik Sense Integration with SFDC?
Salesforce Connector (Data) SAML Authentication
& Section Access
Embedding with the Single
API or Capabilities
(Integration) APIs
9
Data Integration
10
Salesforce Report Connector
11
Qlik Salesforce Connector
Qlik Salesforce Connector
Optional QVD
Layer
*Incrementally load
index files
12
Data from Anywhere
13
Associate All of Your Data
Opportunities
Contacts
Accounts
Quota
Quota CalendarCalendar
Demographic Data
Weather Data Shipping Data
HR Data Web Traffic Data
Financial Data
Expense Data
Marketing Data
14
Data Connector
Demo
15
Embedded
Integration
16
• Recreate Salesforce Data model as
needed for use case
• Combine Salesforce data with other
tech (Marketo, DataHug, ERP, Geo)
Qlik Application using Salesforce Data Model
17
Qlik App Demo
18
Analytics
Integration
19
Qlik Application in Salesforce Tab
Full Qlik Sense Experience
20
Qlik Application in Salesforce Tab
Selected Sheets Only
21
Qlik App in
Salesforce Demo
22
HTML Web Page Mashup
23
HTML Mashup
Demo
24
SalesForce1 Integration
25
Salesforce1 Demo
26
Integrate with Salesforce Variables for Dynamic
Focus
27
Integrated
Variables Demo
28
Embedding Qlik Sense with JavaScript
Building visualizations on the fly or referencing existing
29
Salesforce
Capability API
Demo (JS)
30
Leveraging AAI Embedded in SFDC
Python, R, & more
31
Python Traveling
Salesman Demo in
SFDC
32
Security
Integration
33
Leverage Existing Salesforce Attributes
Session-based Access Control in Sense
34
Integrated
Authorization
Demo
8 ways qlik integrates with salesforce.com

More Related Content

What's hot

Scaling Databricks to Run Data and ML Workloads on Millions of VMs
Scaling Databricks to Run Data and ML Workloads on Millions of VMsScaling Databricks to Run Data and ML Workloads on Millions of VMs
Scaling Databricks to Run Data and ML Workloads on Millions of VMs
Matei Zaharia
 
OpenText Extended ECM for Microsoft Dynamics Customer Engagement
OpenText Extended ECM for Microsoft Dynamics Customer EngagementOpenText Extended ECM for Microsoft Dynamics Customer Engagement
OpenText Extended ECM for Microsoft Dynamics Customer Engagement
OpenText
 
The Roadmap for SQL Server 2019
The Roadmap for SQL Server 2019The Roadmap for SQL Server 2019
The Roadmap for SQL Server 2019
Amit Banerjee
 
Los beneficios de migrar sus cargas de trabajo de big data a AWS
Los beneficios de migrar sus cargas de trabajo de big data a AWSLos beneficios de migrar sus cargas de trabajo de big data a AWS
Los beneficios de migrar sus cargas de trabajo de big data a AWS
Amazon Web Services LATAM
 
Data Driven Possibilities with Qlik
Data Driven Possibilities with QlikData Driven Possibilities with Qlik
Data Driven Possibilities with Qlik
Mischa van Werkhoven
 
Evolution of apache spark
Evolution of apache sparkEvolution of apache spark
Evolution of apache spark
datamantra
 
ETL Made Easy with Azure Data Factory and Azure Databricks
ETL Made Easy with Azure Data Factory and Azure DatabricksETL Made Easy with Azure Data Factory and Azure Databricks
ETL Made Easy with Azure Data Factory and Azure Databricks
Databricks
 
ISO/IEC 42010 Recommended Practice for Architectural description
ISO/IEC 42010 Recommended Practice for Architectural descriptionISO/IEC 42010 Recommended Practice for Architectural description
ISO/IEC 42010 Recommended Practice for Architectural description
Hongseok Lee
 
How Secure Are Your APIs?
How Secure Are Your APIs?How Secure Are Your APIs?
How Secure Are Your APIs?
Apigee | Google Cloud
 
공공솔루션마켓 클라우드와 ITSM 발표자료
공공솔루션마켓 클라우드와 ITSM 발표자료공공솔루션마켓 클라우드와 ITSM 발표자료
공공솔루션마켓 클라우드와 ITSM 발표자료
에스티이지 (STEG)
 
Making the Case for Integration Platform as a Service (iPaaS)
Making the Case for Integration Platform as a Service (iPaaS)Making the Case for Integration Platform as a Service (iPaaS)
Making the Case for Integration Platform as a Service (iPaaS)
Axway
 
CKAN - the open source data portal platform
CKAN - the open source data portal platformCKAN - the open source data portal platform
CKAN - the open source data portal platform
Maurizio Napolitano
 
Reltio: Powering Enterprise Data-driven Applications with Cassandra
Reltio: Powering Enterprise Data-driven Applications with CassandraReltio: Powering Enterprise Data-driven Applications with Cassandra
Reltio: Powering Enterprise Data-driven Applications with Cassandra
DataStax Academy
 
Monoliths to microservices workshop
Monoliths to microservices workshopMonoliths to microservices workshop
Monoliths to microservices workshop
Judy Breedlove
 
Confluent Operator as Cloud-Native Kafka Operator for Kubernetes
Confluent Operator as Cloud-Native Kafka Operator for KubernetesConfluent Operator as Cloud-Native Kafka Operator for Kubernetes
Confluent Operator as Cloud-Native Kafka Operator for Kubernetes
Kai Wähner
 
data-mesh-101.pptx
data-mesh-101.pptxdata-mesh-101.pptx
data-mesh-101.pptx
TarekHamdi8
 
A Collaborative Data Science Development Workflow
A Collaborative Data Science Development WorkflowA Collaborative Data Science Development Workflow
A Collaborative Data Science Development Workflow
Databricks
 
Customer Presentation- AVEVA Asset Information Management .pptx
Customer Presentation- AVEVA Asset Information Management .pptxCustomer Presentation- AVEVA Asset Information Management .pptx
Customer Presentation- AVEVA Asset Information Management .pptx
SonerSoycercel
 
Architecture Evolution 2018
Architecture Evolution 2018Architecture Evolution 2018
Architecture Evolution 2018
Sebastian Schleicher
 
Introduction to Smart Data Models
Introduction to Smart Data ModelsIntroduction to Smart Data Models
Introduction to Smart Data Models
FIWARE
 

What's hot (20)

Scaling Databricks to Run Data and ML Workloads on Millions of VMs
Scaling Databricks to Run Data and ML Workloads on Millions of VMsScaling Databricks to Run Data and ML Workloads on Millions of VMs
Scaling Databricks to Run Data and ML Workloads on Millions of VMs
 
OpenText Extended ECM for Microsoft Dynamics Customer Engagement
OpenText Extended ECM for Microsoft Dynamics Customer EngagementOpenText Extended ECM for Microsoft Dynamics Customer Engagement
OpenText Extended ECM for Microsoft Dynamics Customer Engagement
 
The Roadmap for SQL Server 2019
The Roadmap for SQL Server 2019The Roadmap for SQL Server 2019
The Roadmap for SQL Server 2019
 
Los beneficios de migrar sus cargas de trabajo de big data a AWS
Los beneficios de migrar sus cargas de trabajo de big data a AWSLos beneficios de migrar sus cargas de trabajo de big data a AWS
Los beneficios de migrar sus cargas de trabajo de big data a AWS
 
Data Driven Possibilities with Qlik
Data Driven Possibilities with QlikData Driven Possibilities with Qlik
Data Driven Possibilities with Qlik
 
Evolution of apache spark
Evolution of apache sparkEvolution of apache spark
Evolution of apache spark
 
ETL Made Easy with Azure Data Factory and Azure Databricks
ETL Made Easy with Azure Data Factory and Azure DatabricksETL Made Easy with Azure Data Factory and Azure Databricks
ETL Made Easy with Azure Data Factory and Azure Databricks
 
ISO/IEC 42010 Recommended Practice for Architectural description
ISO/IEC 42010 Recommended Practice for Architectural descriptionISO/IEC 42010 Recommended Practice for Architectural description
ISO/IEC 42010 Recommended Practice for Architectural description
 
How Secure Are Your APIs?
How Secure Are Your APIs?How Secure Are Your APIs?
How Secure Are Your APIs?
 
공공솔루션마켓 클라우드와 ITSM 발표자료
공공솔루션마켓 클라우드와 ITSM 발표자료공공솔루션마켓 클라우드와 ITSM 발표자료
공공솔루션마켓 클라우드와 ITSM 발표자료
 
Making the Case for Integration Platform as a Service (iPaaS)
Making the Case for Integration Platform as a Service (iPaaS)Making the Case for Integration Platform as a Service (iPaaS)
Making the Case for Integration Platform as a Service (iPaaS)
 
CKAN - the open source data portal platform
CKAN - the open source data portal platformCKAN - the open source data portal platform
CKAN - the open source data portal platform
 
Reltio: Powering Enterprise Data-driven Applications with Cassandra
Reltio: Powering Enterprise Data-driven Applications with CassandraReltio: Powering Enterprise Data-driven Applications with Cassandra
Reltio: Powering Enterprise Data-driven Applications with Cassandra
 
Monoliths to microservices workshop
Monoliths to microservices workshopMonoliths to microservices workshop
Monoliths to microservices workshop
 
Confluent Operator as Cloud-Native Kafka Operator for Kubernetes
Confluent Operator as Cloud-Native Kafka Operator for KubernetesConfluent Operator as Cloud-Native Kafka Operator for Kubernetes
Confluent Operator as Cloud-Native Kafka Operator for Kubernetes
 
data-mesh-101.pptx
data-mesh-101.pptxdata-mesh-101.pptx
data-mesh-101.pptx
 
A Collaborative Data Science Development Workflow
A Collaborative Data Science Development WorkflowA Collaborative Data Science Development Workflow
A Collaborative Data Science Development Workflow
 
Customer Presentation- AVEVA Asset Information Management .pptx
Customer Presentation- AVEVA Asset Information Management .pptxCustomer Presentation- AVEVA Asset Information Management .pptx
Customer Presentation- AVEVA Asset Information Management .pptx
 
Architecture Evolution 2018
Architecture Evolution 2018Architecture Evolution 2018
Architecture Evolution 2018
 
Introduction to Smart Data Models
Introduction to Smart Data ModelsIntroduction to Smart Data Models
Introduction to Smart Data Models
 

Similar to 8 ways qlik integrates with salesforce.com

QlikView - a company overview
QlikView - a company overviewQlikView - a company overview
QlikView - a company overview
mikejohnsonca
 
Qlik Tech Corporate Overview
Qlik Tech Corporate OverviewQlik Tech Corporate Overview
Qlik Tech Corporate Overviewben_baldyga
 
Qliktechcorporateoverview
QliktechcorporateoverviewQliktechcorporateoverview
Qliktechcorporateoverview
ivango1
 
Qlik Tech Corporate Overview
Qlik Tech Corporate OverviewQlik Tech Corporate Overview
Qlik Tech Corporate Overview
bwalh
 
Qlik Tech Corporate Overview
Qlik Tech Corporate OverviewQlik Tech Corporate Overview
Qlik Tech Corporate Overview
dduker
 
Esouag r12 presentation
Esouag r12 presentationEsouag r12 presentation
Esouag r12 presentation
Ishtiaq Khan
 
OEBS R12 Presentation.ppt
OEBS R12 Presentation.pptOEBS R12 Presentation.ppt
OEBS R12 Presentation.ppt
Mohd Haireeen
 
Hub16: VMware – Enabling business modeling and sales planning with Anaplan
Hub16: VMware – Enabling business modeling and sales planning with AnaplanHub16: VMware – Enabling business modeling and sales planning with Anaplan
Hub16: VMware – Enabling business modeling and sales planning with Anaplan
Anaplan
 
Overview of Operations
Overview of OperationsOverview of Operations
Overview of Operations
Glenture
 
Accelerating the Data to Value Journey
Accelerating the Data to Value JourneyAccelerating the Data to Value Journey
Accelerating the Data to Value Journey
Denodo
 
Automating Business Insights on AWS,
Automating Business Insights on AWS, Automating Business Insights on AWS,
Automating Business Insights on AWS,
Amazon Web Services
 
Driving Digital Transformation with Machine Learning in Oracle Analytics
Driving Digital Transformation with Machine Learning in Oracle AnalyticsDriving Digital Transformation with Machine Learning in Oracle Analytics
Driving Digital Transformation with Machine Learning in Oracle Analytics
Perficient, Inc.
 
Better insight 2010 nov 30 bucharest
Better insight 2010 nov 30 bucharestBetter insight 2010 nov 30 bucharest
Better insight 2010 nov 30 bucharestDoina Draganescu
 
Dynamics 365 finance and operations case study
Dynamics 365 finance and operations case studyDynamics 365 finance and operations case study
Dynamics 365 finance and operations case study
Nandita Nityanandam
 
Assessing New Databases– Translytical Use Cases
Assessing New Databases– Translytical Use CasesAssessing New Databases– Translytical Use Cases
Assessing New Databases– Translytical Use Cases
DATAVERSITY
 
Perficient and Oracle
Perficient and OraclePerficient and Oracle
Perficient and Oracle
Perficient, Inc.
 
What is dynamics 365? - aOS Canadian tour (Toronto)
What is dynamics 365? - aOS Canadian tour (Toronto)What is dynamics 365? - aOS Canadian tour (Toronto)
What is dynamics 365? - aOS Canadian tour (Toronto)
Nicolas Georgeault
 
What is dynamics 365? - aOS Canadian tour (Ottawa)
What is dynamics 365? - aOS Canadian tour (Ottawa)What is dynamics 365? - aOS Canadian tour (Ottawa)
What is dynamics 365? - aOS Canadian tour (Ottawa)
Nicolas Georgeault
 
Krypt Visibility - Reporting and Analytics for your Supply Chain
Krypt Visibility - Reporting and Analytics for your Supply ChainKrypt Visibility - Reporting and Analytics for your Supply Chain
Krypt Visibility - Reporting and Analytics for your Supply Chain
Krypt, Inc.
 

Similar to 8 ways qlik integrates with salesforce.com (20)

QlikView - a company overview
QlikView - a company overviewQlikView - a company overview
QlikView - a company overview
 
Qlik Tech Corporate Overview
Qlik Tech Corporate OverviewQlik Tech Corporate Overview
Qlik Tech Corporate Overview
 
Qliktechcorporateoverview
QliktechcorporateoverviewQliktechcorporateoverview
Qliktechcorporateoverview
 
Qlik Tech Corporate Overview
Qlik Tech Corporate OverviewQlik Tech Corporate Overview
Qlik Tech Corporate Overview
 
Qlik Tech Corporate Overview
Qlik Tech Corporate OverviewQlik Tech Corporate Overview
Qlik Tech Corporate Overview
 
Esouag r12 presentation
Esouag r12 presentationEsouag r12 presentation
Esouag r12 presentation
 
OEBS R12 Presentation.ppt
OEBS R12 Presentation.pptOEBS R12 Presentation.ppt
OEBS R12 Presentation.ppt
 
Prez szabolcs
Prez szabolcsPrez szabolcs
Prez szabolcs
 
Hub16: VMware – Enabling business modeling and sales planning with Anaplan
Hub16: VMware – Enabling business modeling and sales planning with AnaplanHub16: VMware – Enabling business modeling and sales planning with Anaplan
Hub16: VMware – Enabling business modeling and sales planning with Anaplan
 
Overview of Operations
Overview of OperationsOverview of Operations
Overview of Operations
 
Accelerating the Data to Value Journey
Accelerating the Data to Value JourneyAccelerating the Data to Value Journey
Accelerating the Data to Value Journey
 
Automating Business Insights on AWS,
Automating Business Insights on AWS, Automating Business Insights on AWS,
Automating Business Insights on AWS,
 
Driving Digital Transformation with Machine Learning in Oracle Analytics
Driving Digital Transformation with Machine Learning in Oracle AnalyticsDriving Digital Transformation with Machine Learning in Oracle Analytics
Driving Digital Transformation with Machine Learning in Oracle Analytics
 
Better insight 2010 nov 30 bucharest
Better insight 2010 nov 30 bucharestBetter insight 2010 nov 30 bucharest
Better insight 2010 nov 30 bucharest
 
Dynamics 365 finance and operations case study
Dynamics 365 finance and operations case studyDynamics 365 finance and operations case study
Dynamics 365 finance and operations case study
 
Assessing New Databases– Translytical Use Cases
Assessing New Databases– Translytical Use CasesAssessing New Databases– Translytical Use Cases
Assessing New Databases– Translytical Use Cases
 
Perficient and Oracle
Perficient and OraclePerficient and Oracle
Perficient and Oracle
 
What is dynamics 365? - aOS Canadian tour (Toronto)
What is dynamics 365? - aOS Canadian tour (Toronto)What is dynamics 365? - aOS Canadian tour (Toronto)
What is dynamics 365? - aOS Canadian tour (Toronto)
 
What is dynamics 365? - aOS Canadian tour (Ottawa)
What is dynamics 365? - aOS Canadian tour (Ottawa)What is dynamics 365? - aOS Canadian tour (Ottawa)
What is dynamics 365? - aOS Canadian tour (Ottawa)
 
Krypt Visibility - Reporting and Analytics for your Supply Chain
Krypt Visibility - Reporting and Analytics for your Supply ChainKrypt Visibility - Reporting and Analytics for your Supply Chain
Krypt Visibility - Reporting and Analytics for your Supply Chain
 

More from Paul Van Siclen

Data Literacy and its Implications for Society
Data Literacy and its Implications for SocietyData Literacy and its Implications for Society
Data Literacy and its Implications for Society
Paul Van Siclen
 
Writeback data entry with Pomerol
Writeback data entry with PomerolWriteback data entry with Pomerol
Writeback data entry with Pomerol
Paul Van Siclen
 
The 3rd wave of data analytics in Insurance
The 3rd wave of data analytics in InsuranceThe 3rd wave of data analytics in Insurance
The 3rd wave of data analytics in Insurance
Paul Van Siclen
 
Mobile Analytics
Mobile AnalyticsMobile Analytics
Mobile Analytics
Paul Van Siclen
 
Making the most of your Snowflake Investment
Making the most of your Snowflake InvestmentMaking the most of your Snowflake Investment
Making the most of your Snowflake Investment
Paul Van Siclen
 
From ingest to insights with AWS
From ingest to insights with AWSFrom ingest to insights with AWS
From ingest to insights with AWS
Paul Van Siclen
 
Advanced analytics integration with python
Advanced analytics integration with pythonAdvanced analytics integration with python
Advanced analytics integration with python
Paul Van Siclen
 
Accelerate and modernize your data pipelines
Accelerate and modernize your data pipelinesAccelerate and modernize your data pipelines
Accelerate and modernize your data pipelines
Paul Van Siclen
 
Modernizing the Finance Function with Qlik
Modernizing the Finance Function with QlikModernizing the Finance Function with Qlik
Modernizing the Finance Function with Qlik
Paul Van Siclen
 

More from Paul Van Siclen (9)

Data Literacy and its Implications for Society
Data Literacy and its Implications for SocietyData Literacy and its Implications for Society
Data Literacy and its Implications for Society
 
Writeback data entry with Pomerol
Writeback data entry with PomerolWriteback data entry with Pomerol
Writeback data entry with Pomerol
 
The 3rd wave of data analytics in Insurance
The 3rd wave of data analytics in InsuranceThe 3rd wave of data analytics in Insurance
The 3rd wave of data analytics in Insurance
 
Mobile Analytics
Mobile AnalyticsMobile Analytics
Mobile Analytics
 
Making the most of your Snowflake Investment
Making the most of your Snowflake InvestmentMaking the most of your Snowflake Investment
Making the most of your Snowflake Investment
 
From ingest to insights with AWS
From ingest to insights with AWSFrom ingest to insights with AWS
From ingest to insights with AWS
 
Advanced analytics integration with python
Advanced analytics integration with pythonAdvanced analytics integration with python
Advanced analytics integration with python
 
Accelerate and modernize your data pipelines
Accelerate and modernize your data pipelinesAccelerate and modernize your data pipelines
Accelerate and modernize your data pipelines
 
Modernizing the Finance Function with Qlik
Modernizing the Finance Function with QlikModernizing the Finance Function with Qlik
Modernizing the Finance Function with Qlik
 

Recently uploaded

Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
AbhimanyuSinha9
 
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
2023240532
 
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.
rwarrenll
 
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
yhkoc
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
Timothy Spann
 
一比一原版(BU毕业证)波士顿大学毕业证成绩单
一比一原版(BU毕业证)波士顿大学毕业证成绩单一比一原版(BU毕业证)波士顿大学毕业证成绩单
一比一原版(BU毕业证)波士顿大学毕业证成绩单
ewymefz
 
一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单
enxupq
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
mbawufebxi
 
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
g4dpvqap0
 
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project PresentationPredicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Boston Institute of Analytics
 
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
slg6lamcq
 
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
ewymefz
 
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
dwreak4tg
 
Influence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business PlanInfluence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business Plan
jerlynmaetalle
 
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
vcaxypu
 
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
oz8q3jxlp
 
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
vcaxypu
 
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
nscud
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
axoqas
 
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
nscud
 

Recently uploaded (20)

Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
 
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
 
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.
 
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
 
一比一原版(BU毕业证)波士顿大学毕业证成绩单
一比一原版(BU毕业证)波士顿大学毕业证成绩单一比一原版(BU毕业证)波士顿大学毕业证成绩单
一比一原版(BU毕业证)波士顿大学毕业证成绩单
 
一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
 
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
 
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project PresentationPredicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
 
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
 
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
 
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
 
Influence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business PlanInfluence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business Plan
 
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
 
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
 
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
 
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
 
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
 

8 ways qlik integrates with salesforce.com

  • 1. Bridging Salesforce and Modern Analytics Feb 26th, 2019 Chris Reiter Sr. Solution Architect Daniel Pilla Sr. Enterprise Architect
  • 2. 2 Visualization alone is insufficient Guess who?
  • 3. 3 The Associative Difference® vs. ✓ All your data ✓ Explore without boundaries ✓ Speed of thought ✓ Unexpected insights The Qlik Associative Engine x Partial subsets of data x Restricted linear exploration x Slow performance x “Ask, wait, answer” cycle Query-Based Tools
  • 4. 4 ANALYTICS Data Manager (ETL from Publishing, Big Data Index + other data sources) Data Lake Pipeline(1), (2) (Orchestration, automation, analytics ready datasets) Data Catalog(2) (Profiling, Lineage, Governance and Provisioning, Validation, Audit ) Marketplace/Publishing (2) (Storefront, Shopping Cart/Checkout) Change Data Capture (1) (Real Time streaming, Replication, Cloud Delivery) Visualization alone is insufficient (1) (2) What is the new Qlik platform? A modern analytics platform providing options to enable the entire Data, Analytics and Decisions supply chain Data Science (Cognitive Engine, Insights Advisor & Integration with Python/R/DataRobot) Functions/Expressions (Statistics, TVOM, Text, Variables, Set Analysis) Geo Spatial (Full library of Geo Calcs, mapping) Associative Engine (in memory, “full outer join”, search, open api’s) Reporting (PDF, Alerting, Office Integration) Mobile first (Online & Offline, BYOD, EMM Integration) Custom applications (Containers, Chatbots, OEM, api’s) Governed Self Service Guided Dashboards Embedded analytics (3rd party integration, mashups, api’s) • From extracting raw data to insights & decisions
  • 5. 5 Customer Engagements • Account & Channel Relationship Management • Customer Segmentation/Targeting & Call Lists • Acquisitions, Renewals & Churn • Historical/Demographic Purchasing Patterns • Customer Satisfaction & Advocacy Market Segmentation • Trending and Whitespace Analysis • Territory Design • What-If Analysis • Compensation and Quota Optimization Strategy • Territory Analysis • Cross-Functional Alignment • Sales Cycle Analysis & Negotiation Analysis • Transparency • Product/Pricing Mix Pricing & Profitability • Income P&L Breakdown, EBIT & ROI • What-If Analysis • Revenue & Margin (Pricing & Discount Analysis) • Resource and Growth Allocation • COGS and Expense Analysis Operational • Forecasting • Budgeting • Investment Opportunities & Returns • Campaign Planning • Expense Management Product Analysis • Availability, Configuration, & Mix • Profitability/Margins • Cross-sell / Up-sell • Customer Satisfaction & Advocacy • End-of-life, Seasonality and Supply/Demand Models • Promotions, Coupons & Discounting Pipeline Management • Lead & Opportunity Progression • Forecast Accuracy & Conversion Analysis • Predictive Capabilities • Single View of Leads, Contacts, Accounts & Campaigns • Multiple Data Dimensions Process and Procedures • Balancing Stakeholder Priorities • Agile/Fast-Paced Decision Making • Collaboration and Reporting • Sales Cycles and Stages • Risk Resolution Sales Performance Solution Areas
  • 6. 6 • $100 million added revenue from monitoring and quickly addressing sales support & service contracts • $4m in cost saving attributed to Qlik • 96% year over year increase in sales productivity • 12 weeks for entire deployment • £1+ million saved by stock loss and sales analysis • 70%+ of sales staff use Qlik everyday to review performance • 5000+ branch sales users deployed in < 6 months • Big Data: 4.3 million customers with 260 million agreements and 800 billion cells analyzed in Qlik • 99% reduction in time spent on sales-related reporting • Reduced audit time for 3 weeks to 2-3 days • 17% sales growth over 2 yrs attributed to Qlik • $400,000 savings achieved over a period of two years • 50% increase in customer response times Sales Performance Results with Qlik
  • 8. 8 What is Qlik Sense Integration with SFDC? Salesforce Connector (Data) SAML Authentication & Section Access Embedding with the Single API or Capabilities (Integration) APIs
  • 11. 11 Qlik Salesforce Connector Qlik Salesforce Connector Optional QVD Layer *Incrementally load index files
  • 13. 13 Associate All of Your Data Opportunities Contacts Accounts Quota Quota CalendarCalendar Demographic Data Weather Data Shipping Data HR Data Web Traffic Data Financial Data Expense Data Marketing Data
  • 16. 16 • Recreate Salesforce Data model as needed for use case • Combine Salesforce data with other tech (Marketo, DataHug, ERP, Geo) Qlik Application using Salesforce Data Model
  • 19. 19 Qlik Application in Salesforce Tab Full Qlik Sense Experience
  • 20. 20 Qlik Application in Salesforce Tab Selected Sheets Only
  • 26. 26 Integrate with Salesforce Variables for Dynamic Focus
  • 28. 28 Embedding Qlik Sense with JavaScript Building visualizations on the fly or referencing existing
  • 30. 30 Leveraging AAI Embedded in SFDC Python, R, & more
  • 33. 33 Leverage Existing Salesforce Attributes Session-based Access Control in Sense