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From Business Hindsight to
Foresight with Azure Synapse
Analytics
Today’s Agenda
Reporting of the
past and analytics
of the future.
Tools of the Trade,
Azure Synapse, ML and
Power BI
Q&A
Implementation
Methodology/
Case Studies
The Industrial
Applications of Insights
Demo of Predictive
Analytics
Where do you find yourself on the curve?
Hindsight Insight Foresight
Value
Difficulty
What happened?
Descriptive Analysis
Why did it happen?
Diagnostic Analysis
What will happen?
Predictive Analysis
How can we make it happen?
Prescriptive Analysis
BI
ANALYTICS
Bring together the best of both worlds with the market-
leading BI service and the industry-leading analytics platform
BI
Power BI can analyze and visualize
massive volumes of data
Analytics
Azure Synapse Analytics provides a scalable
platform to enable real-time BI
Microsoft Azure is the only cloud provider to unify AI, BI,
and Analytics creating accelerated time-to-insight
Cloud
data
SaaS data
On-premises
data
Devices
data
Azure Synapse Analytics
Store
Azure Data Lake Storage
Azure Machine
Learning
Power BI
BI+Analyticspavesthepathforusingemergingtechnologies,
incorporatingthelatestinnovations
Business analysts
No code, low code
IT professionals, Data scientists
Low to high code
Model & serve
Azure Synapse
Analytics
Train & predict
Azure Machine
Learning
Azure Data Lake Storage
Power BI
Visualize &
report
On-premises data
Cloud data
SaaS data
Streaming data
Ingest
Seamlessly innovate
Accelerate business value with a powerful analytics platform
Business value
Unified
analytics platform
Advanced analytics
and AI
Powerful visualization and
reporting
Unmatched
capabilities
Business analysts IT professionals Data scientists
Frictionless
collaboration
Azure Synapse Analytics
Power BI
Powerful and
integrated
tooling
Azure Machine Learning
Common Data Model on Azure Data Lake Storage
Unified data
Customers using Azure Synapse & Power BI today are
transforming their business with purpose
271% Average ROI
60%
Increased customer
satisfaction
27%
Faster time
to insights
26%
Lower total cost
of ownership
* Forrester, October 2019, “The Total Economic Impact of Microsoft Azure Analytics with Power BI”
Manufacturing solutions enabled by Azure data & AI
Supply Chain
Optimization
Value
Time
Phase
Data
Visualization
“See what is
happening”
Equipment &
Factory
Monitoring
Data
Foundation
1
Connected
“Get
connected”
“Define data
and sources”
AI Models,
Machine
Learning
“Predicting what
will happen”
Advanced
Analytics
“Understanding
causes &
impacts”
2
Predictive
Cognitive &
Intelligent
Connected
Products
“New services &
business models”
Digital
Feedback
Loop
Automation
“Real-time data
driven response”
3
Cognitive
Data Analytics AI Cognitive
Remote
Monitoring
Predictive
Maintenance
Smart
Connected
Field Service
Connected
Factory
9
New ways to drive traffic Smart virtual experiences to find products
Smart inventory management
Improve instore performance
Improved customer loyalty
Automated fulfillment
Deliver personalized recommendations
based on customer insights
Monitor store environments
to reduce operating costs
Create delightful customer
experiences in the store
Keep up with the ever-changing
demands of customers
Improve customer experience with
consistent inventory across channels
Track shipments in real time
across air, water, and land
Reimagine retail
The first unified cloud native platform
for converged analytics
Azure Synapse is the only unified platform for
analytics, blending big data, data warehousing, and
data integration into a single cloud native service for
end-to-end analytics at cloud scale. Data integration
Data warehousing
Big data analytics
Azure Synapse Analytics
Category Feature
Data Protection
Data in transit
Data encryption at rest
Data discovery and classification
Access Control
Object level security (tables/views)
Row level security
Column level security
Dynamic data masking
Column level encryption
Authentication
SQL login
Azure active directory
Multi-factor authentication
Network Security
Managed virtual network
Custom virtual network
Firewall
Azure ExpressRoute
Azure Private Link
Threat protection
Threat detection
Auditing
Vulnerability assessment
Isolation
Dedicated metadata store
Hosted in customer tenant
Best-in-class security
Customer & System Managed Keys
All data encrypted by default
Up to 3x levels of data encryption at rest
Democratize data at scale with fine-grained ACL
Proactive protection
Comprehensive Compliance
Complete data protection
Cloud native ETL/ELT
95+ connectors available
Secure connectivity to on-premise data sources,
other clouds, and SaaS applications
Code-first and low/no code design interfaces
Schedule and Event based triggering
95 connectors
Code-free
All your data
(on-prem,
SaaS applications,
other clouds)
Data
transformation +
orchestration
Hybrid data integration
Fully-managed elastic platform
Elastic compute that can be easily optimized to
different classes of workload
All features available in a single tier
Infinite cost effective PAYG storage
Department
Gigabytes of data
10’s of users
Weekday usage
Organization
Terabytes of data
100’s of users
24/7 usage
Enterprise
Petabytes of data
1000’s of users
Tier-0 Availability
Suitable for any scale
SQL Editor
Automatic code completion (Intellisense)
Script collaboration within the Workspace
Built-in visualizations
Easily switch between clusters
Synapse Studio
Analytics Project lifecycle
Start
Business
understanding
Modeling
Data
Acquisition &
Understanding
Deployment
Scoring, Performance
monitoring , etc.,
End
Customer
Acceptance
Feature
Engineering
Model
Training
Model
Evaluation
Data Source
Pipeline
Environment
Wrangling,
Exploration &
Cleaning
Transform,
Binning Temporal,
Text, Image,
Feature Selection
Algorithms, Ensemble
Parameter Tuning Retraining
Model management
Cross Validation Model
Reporting
A/B Testing
On-premises Vs
Cloud Database Vs
Files
Streaming Vs Batch Low Vs
High Frequency
On-premises Vs
Cloud Database Vs
Data Lake Vs
Small Vs Medium Vs Big
Structured Vs Unstructured
Data Validation and Cleanup
Visualisation
Model
Store
Web
Services
Intelligent
Applications
• On-prem legacy ERP system with multiple front-end applications
• Disparate apps and a lack of unified data utilization
• In dire need of a better reporting and analytics platform
• Azure Synapse, along with Azure Data Factory to bring in and unify data
from various apps into Azure Data lake
• Power BI visualizations to bring visibility into operations
• Secure data sharing for better reporting and analytics
SSRS to Synapse
​Global brand's restaurants
with 300+ stores across the
country
Success story - I
About the customer:
Problem:
Solution:
• Availability of a large amount of data
• Putting that data to good use
• An agile predictive maintenance model was deployed
• Collaborated with the customer to identify their short-
and long-term needs for the initial predictive analytics
program
One of the largest refrigerated
storage specialists in the
United States.
Prediction for preventive maintenance
Success story - II
About the customer:
Problem:
Solution:
Recorded Demo of Azure Synapse analytics and
visualization of actionable business insights
Thank You
If you have any queries, Please contact us at sales@korcomptenz.com
Thank You
If you have any queries, Please contact us at sales@korcomptenz.com
Thank You
If you have any queries, Please contact us at sales@korcomptenz.com
Thank You
If you have any queries, Please contact us at sales@korcomptenz.com
Thank You
If you have any queries, Please contact us at sales@korcomptenz.com

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From Business Hindsight to Foresight with Azure Synapse Analytics

  • 1. From Business Hindsight to Foresight with Azure Synapse Analytics
  • 2. Today’s Agenda Reporting of the past and analytics of the future. Tools of the Trade, Azure Synapse, ML and Power BI Q&A Implementation Methodology/ Case Studies The Industrial Applications of Insights Demo of Predictive Analytics
  • 3. Where do you find yourself on the curve? Hindsight Insight Foresight Value Difficulty What happened? Descriptive Analysis Why did it happen? Diagnostic Analysis What will happen? Predictive Analysis How can we make it happen? Prescriptive Analysis BI ANALYTICS
  • 4. Bring together the best of both worlds with the market- leading BI service and the industry-leading analytics platform BI Power BI can analyze and visualize massive volumes of data Analytics Azure Synapse Analytics provides a scalable platform to enable real-time BI
  • 5. Microsoft Azure is the only cloud provider to unify AI, BI, and Analytics creating accelerated time-to-insight Cloud data SaaS data On-premises data Devices data Azure Synapse Analytics Store Azure Data Lake Storage Azure Machine Learning Power BI
  • 6. BI+Analyticspavesthepathforusingemergingtechnologies, incorporatingthelatestinnovations Business analysts No code, low code IT professionals, Data scientists Low to high code Model & serve Azure Synapse Analytics Train & predict Azure Machine Learning Azure Data Lake Storage Power BI Visualize & report On-premises data Cloud data SaaS data Streaming data Ingest Seamlessly innovate
  • 7. Accelerate business value with a powerful analytics platform Business value Unified analytics platform Advanced analytics and AI Powerful visualization and reporting Unmatched capabilities Business analysts IT professionals Data scientists Frictionless collaboration Azure Synapse Analytics Power BI Powerful and integrated tooling Azure Machine Learning Common Data Model on Azure Data Lake Storage Unified data
  • 8. Customers using Azure Synapse & Power BI today are transforming their business with purpose 271% Average ROI 60% Increased customer satisfaction 27% Faster time to insights 26% Lower total cost of ownership * Forrester, October 2019, “The Total Economic Impact of Microsoft Azure Analytics with Power BI”
  • 9. Manufacturing solutions enabled by Azure data & AI Supply Chain Optimization Value Time Phase Data Visualization “See what is happening” Equipment & Factory Monitoring Data Foundation 1 Connected “Get connected” “Define data and sources” AI Models, Machine Learning “Predicting what will happen” Advanced Analytics “Understanding causes & impacts” 2 Predictive Cognitive & Intelligent Connected Products “New services & business models” Digital Feedback Loop Automation “Real-time data driven response” 3 Cognitive Data Analytics AI Cognitive Remote Monitoring Predictive Maintenance Smart Connected Field Service Connected Factory 9
  • 10. New ways to drive traffic Smart virtual experiences to find products Smart inventory management Improve instore performance Improved customer loyalty Automated fulfillment Deliver personalized recommendations based on customer insights Monitor store environments to reduce operating costs Create delightful customer experiences in the store Keep up with the ever-changing demands of customers Improve customer experience with consistent inventory across channels Track shipments in real time across air, water, and land Reimagine retail
  • 11. The first unified cloud native platform for converged analytics Azure Synapse is the only unified platform for analytics, blending big data, data warehousing, and data integration into a single cloud native service for end-to-end analytics at cloud scale. Data integration Data warehousing Big data analytics Azure Synapse Analytics
  • 12. Category Feature Data Protection Data in transit Data encryption at rest Data discovery and classification Access Control Object level security (tables/views) Row level security Column level security Dynamic data masking Column level encryption Authentication SQL login Azure active directory Multi-factor authentication Network Security Managed virtual network Custom virtual network Firewall Azure ExpressRoute Azure Private Link Threat protection Threat detection Auditing Vulnerability assessment Isolation Dedicated metadata store Hosted in customer tenant Best-in-class security Customer & System Managed Keys All data encrypted by default Up to 3x levels of data encryption at rest Democratize data at scale with fine-grained ACL Proactive protection Comprehensive Compliance Complete data protection
  • 13. Cloud native ETL/ELT 95+ connectors available Secure connectivity to on-premise data sources, other clouds, and SaaS applications Code-first and low/no code design interfaces Schedule and Event based triggering 95 connectors Code-free All your data (on-prem, SaaS applications, other clouds) Data transformation + orchestration Hybrid data integration
  • 14. Fully-managed elastic platform Elastic compute that can be easily optimized to different classes of workload All features available in a single tier Infinite cost effective PAYG storage Department Gigabytes of data 10’s of users Weekday usage Organization Terabytes of data 100’s of users 24/7 usage Enterprise Petabytes of data 1000’s of users Tier-0 Availability Suitable for any scale
  • 15. SQL Editor Automatic code completion (Intellisense) Script collaboration within the Workspace Built-in visualizations Easily switch between clusters Synapse Studio
  • 16. Analytics Project lifecycle Start Business understanding Modeling Data Acquisition & Understanding Deployment Scoring, Performance monitoring , etc., End Customer Acceptance Feature Engineering Model Training Model Evaluation Data Source Pipeline Environment Wrangling, Exploration & Cleaning Transform, Binning Temporal, Text, Image, Feature Selection Algorithms, Ensemble Parameter Tuning Retraining Model management Cross Validation Model Reporting A/B Testing On-premises Vs Cloud Database Vs Files Streaming Vs Batch Low Vs High Frequency On-premises Vs Cloud Database Vs Data Lake Vs Small Vs Medium Vs Big Structured Vs Unstructured Data Validation and Cleanup Visualisation Model Store Web Services Intelligent Applications
  • 17. • On-prem legacy ERP system with multiple front-end applications • Disparate apps and a lack of unified data utilization • In dire need of a better reporting and analytics platform • Azure Synapse, along with Azure Data Factory to bring in and unify data from various apps into Azure Data lake • Power BI visualizations to bring visibility into operations • Secure data sharing for better reporting and analytics SSRS to Synapse ​Global brand's restaurants with 300+ stores across the country Success story - I About the customer: Problem: Solution:
  • 18. • Availability of a large amount of data • Putting that data to good use • An agile predictive maintenance model was deployed • Collaborated with the customer to identify their short- and long-term needs for the initial predictive analytics program One of the largest refrigerated storage specialists in the United States. Prediction for preventive maintenance Success story - II About the customer: Problem: Solution:
  • 19. Recorded Demo of Azure Synapse analytics and visualization of actionable business insights
  • 20. Thank You If you have any queries, Please contact us at sales@korcomptenz.com
  • 21. Thank You If you have any queries, Please contact us at sales@korcomptenz.com
  • 22. Thank You If you have any queries, Please contact us at sales@korcomptenz.com
  • 23. Thank You If you have any queries, Please contact us at sales@korcomptenz.com
  • 24. Thank You If you have any queries, Please contact us at sales@korcomptenz.com