addressing complex business challenges with …...company strategist and visionary with focused on...
TRANSCRIPT
Copyright © 2018 Sunera Technologies Inc. All rights reserved.
Addressing Complex Business Challenges with Oracle Autonomous Data Warehouse (ADW)
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Speaker 1
Ravi ReddyPresident & CEO
Ravi Co-Founded Suneratech in 2005.
Company strategist and visionary with focused on innovation and delivering customer value.
Author of “Transforming CIO to Chief Innovation Officer”
Entrepreneur for several successful businesses and joint ventures over the last two decades.
Built an Enterprise Solutions Business Unit for HCL.
MBA from Kellogg School of Management, Chicago.
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Speaker 2
Padma ByrrajuDirector, Data Analytics
Padma is the Director for Insights & Analytics at Suneratech.
She leads the BI, Big Data, Visualization, Data Science & Digital Transformation projects and provides Solution Approaches, Thought Leadership and Data Strategy plans for customers.
Collaborates with the Digital Products, Applications, Cloud, Automated Integrations, NLP/ML, Self-Serving ChatBot teams to provide revenue enabling solutions to customers.
Padma has 20 years of experience working with multi-domain customers in US, Europe & ANZ regions.
Think
10xTransformation to Digital
8 Global Locations 1000+ Experts 9 Innovative Platforms 250+ Customers 8 Digital Solutions 20+ Services
Suneratech Transforming Information Managers to Innovation Leaders3-SWITCH Framework: IT Automation | Cloud Migration | Digital Innovation
Tourism
Suneratech disrupting Technology Services
Media Automotive Telecom Utilities Logistics Retail Technology
Early Adopters and industry Disruptors
Disrupted
Suneratech:
• Outcome & Consumption • Talent On Demand• Automation Centric Services
Traditional System Integrators:
• Time & Material• Resource Centric Services
vs
Suneratech Enabling Industry Disruptors
Every Industry Faces a Hobson’s Choice – Disrupt or be Disrupted
ASP1 Testing Automation for HCM by Cloudtestr
Activision
ASP2 Testing Automation for ERP Cloud by Cloudtestr
IMMI
ASP3 IT HelpDesck Automation by ServiceNext
Neopost USA
ASP4 EBS Support Automation by RingMaster Studio
RICOH
ASP5 EBS patching and Release Automation RingMaster APM
SunPower
DSP1 SmarFactor by eSeal Beta Shim
DSP2 SC Digitalization by eSeal Unilever
DSP3Customer Support Automation by Snx
Volkswagen
DSP4 Marketing Automation - Meltag P&G
CSP1 EBS Lift & Shift to OCI Chipotle
CSP2 Automation DW Meritor
CSP3 Oracle Integration Cloud Minnkota Power
CSP4 Archive in Cloud
CSP5 DR in Cloud Activision
CSP6 IBM Sterling in Cloud Tracfone
CSP7 Kronos in Cloud USC
Enabling Cloud Innovation with 3-Switch Approach
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Address data warehouse challenges that your businesses are facing through Oracle ADW.
Are your data warehouse projects failing?
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OverviewThe biggest challenge in BI today is managing data, which is crucial to business success
There are several critical challenges faced or rather mistakes that organizations make while automating their Data Warehouse. Issues include:
PerformancePoor architecture, lack of
understanding the business requirements, poor scalability &
standards.
Data QualityLarge volumes of data, inconsistent
data, poor data security, poorly defined data, incorrect data, poor data recovery (DR), poor data management
and data governance.
Data AccessInefficiency, ineffectiveness and lack of
agility.
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Challenges Resolved by Moving Data Warehouse to Cloud
Simplified Deployment & Migration
Reduced Cost and Risk
Always-On Reliability
Big Data Enablement
Accelerate Analytics & Data Insight Extraction
Challenges Resolved by Moving Data Warehouse to
Cloud
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Data Warehouse in the Cloud: Common Customer Use Cases
Move to the Cloud
New Monetization Opportunities
Consolidation of DisparateData Sources
Publish Big Data to the Data Warehouse
On-Premise Data Warehouse or Data Marts
High Performance Analytics
Integration of New Data Sources
3rd Party BI and Analytics Apps
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Automating data warehouse brings a great deal of expectations into businesses. With high
expectations, comes in the sense of caution. Suneratech's got your back.
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Suneratech’s Oracle Cloud Capabilities
BPaaS
Application & Data Center move to OCI
Autonomous Database, Data Warehouse & Analytics
Cloud Security
PaaS4SaaS integrates & extends SaaS apps
Application Test Automation
Chatbots for Customer & IT Help Desks
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Suneratech Provides True Enterprise Data Warehouse Solutions in the Cloud
On-premises Oracle data management workloads are 100% compatible with Oracle Cloud ensuring customers can leverage existing investments and skills. With AWS Redshift, customers must completely rework their code and realign their applications
Preserve Existing Investment
Customers moving from Amazon’s Redshift to Oracle’s autonomous database can expect to cut their costs in half, while benefiting from a higher database availability
Reduce Cost & Risk
Suneratech makes it easy to migrate your data warehouse or data marts to Autonomous Data Warehouse. Oracle SQL Developer easily migrates data into the cloud in just a few clicks. Cloud- ready migration workbench tools support all major database providers, including Redshift.
Easy Migration
A single platform that empowers your entire organization to ask any question of any data type. With Oracle Autonomous Data Warehouse, you can load and analyze data in the cloud in a few clicks, allowing you to quickly extract data insights and make critical decisions in real time.
Complete Solution for Analytics
Customer Benefits
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Suneratech Guarantees 50% Cost Reduction with Cloud
Comprehensive Cloud Business Case leveraging industry-specific Target Operating Model1
Complete Cloud Solution applicable to the industry: Manufacturing, Retail, Banking, Insurance, Utilities, Oil & Gas
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4Moved 20+ different applications to OCI using significant experience in vast workloads: (Oracle EBS, PeopleSoft, Hyperion, OBIEE, Oracle SOA, Oracle WebCenter, WebLogic, Siebel, Oracle Retail, Oracle DB, DB2, MS SQL Server, Microsoft Dynamics ERP, IBM Sterling, IBM Portal, IBM Commerce, IBM DataPower, IBM WebSphere, Kronos, POS, etc.)
3 Guarantee 50% Reduction on Infrastructure to Customers with Oracle Apps on Oracle Cloud
550+ Case Studies of Oracle Cloud having done 50+ Cloud Journeys in FY18
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Suneratech's paths to Oracle Autonomous Data
Warehouse
Confidential – Oracle Internal/Restricted/Highly Restricted
• Modernize OBIEE with Oracle Cloud Infrastructure• Trade Oracle Database with Autonomous Database
Path 1 to Autonomous
Complete Database
Automation
INCREASED PERFORMANCE & SECURITY AT LOWER COST
Complete Infrastructure Automation
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• All OBIEE versions compatible for lift & shift to OCI
• ADB compatible with OBIEE 12.2.1.4 and higher
• Zero risk in lift & shift of OBIEE to OCI
• 45% reduction in the infrastructure costs with OCI
• BYOL: Trade DB Licenses to ADB
• OCI and ADB enables up to 20% improvement in the OBIEE application performance
Automated Data Warehouse with Machine
Learning
Oracle Cloud
Confidential – Oracle Internal/Restricted/Highly Restricted
Path 2 to Autonomous
Complete Database
Automation
COMPLETE AUTOMATION, INCREASED DATA QUALITY AT LOWER COST
Complete Infrastructure Automation
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• Modernize OBIEE with Oracle Cloud Infrastructure• Trade Oracle Database with Autonomous Database• Implement better Data Warehouse • ADB & ADW compatible with
OBIEE 12.2.1.4 and higher
• Easy path to migrate data to ADW (ODI/SQL Developer/Data Pump/ETL Tool)
• 45% reduction in the infrastructure costs with OCI
• BYOL: Trade DB Licenses to ADB
• Data Quality issues eliminated
• ML allows to write new algorithms to identify new data patterns
Automated Data Warehouse with Machine
Learning
Oracle Cloud
Confidential – Oracle Internal/Restricted/Highly Restricted
Path 3 to Autonomous
Complete Database
Automation
COMPLETE AUTOMATION & NEAR REAL-TIME REPORTING WHILE PRESERVING DATA QUALITY
Oracle Analytics Cloud
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• Replace OBIEE with Oracle Analytics Cloud• Trade Oracle Database with Autonomous Database• Implement better Data Warehouse
• OBIEE 11.1.1.7 and higher compatible to upgrade to OACS
• Easy path to migrate data to ADW (ODI/SQL Developer/Data Pump/ETL Tool)
• BYOL: Trade DB Licenses to ADB
• 45% reduction in the infrastructure costs with OCI
• Data Quality issues eliminated
• Neal-Real-Time Reports & Intelligence
• ML allows to write new algorithms to identify new data patterns
L1 - Operational reporting is a reporting procedure that details the ins and outs of a company's day-
to-day deliverables, often concerning production. Typically, operational reports are short-term and
use hourly, daily, weekly and monthly information
L2 - There are three main categories to data analytics: Actionable Insights: Includes mining,
cleansing, clustering and segmenting data to understand customers and their networks, influence
and product insights. Optimization: Analyzing business functions, processes and models
L3 - The idea behind the “Data Monetization” pattern is to generate revenue out of
available historical data, transactional or real-time streamed data. Examples of data sources are
social media, portable devices, products or services accessed by the user and used in financial
transactions.
Autonomous – Operations, Insights and Data Monetization
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Suneratech - #1 Cloud Velocity Partner 2018
--- Outstanding Partner Teammate Award 2018 ---
• Authorized Oracle Managed Services Provide (MSP)
• Oracle Platinum Partner
• Oracle Velocity Partner
• Oracle Cloud Reseller
• Oracle Cloud Partner Advisory Board Member
• Multiple Oracle Cloud Innovation Award Winner
• Cloud Solutions on Oracle Cloud Marketplace
• Release validation partner for Oracle Cloud Applications
• Apps Migration Specialist
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