The document provides an overview of AWS Migration Hub, which is a service that helps manage migrations of applications and workloads to AWS. It discusses common challenges with tracking migrations across different tools. AWS Migration Hub aims to simplify and accelerate migration execution by integrating with tools like AWS Application Discovery Service, AWS Server Migration Service, and AWS Database Migration Service. It allows users to discover applications on-premises, track migration status of applications in AWS Migration Hub as they are migrated using various tools, and then decommission servers once an application is fully migrated.
By using a Data Lake, you no longer need to worry about structuring or transforming data before storing it. A Data Lake on AWS enables your organization to more rapidly analyze data, helping you quickly discover new business insights. Join us for our webinar to learn about the benefits of building a Data Lake on AWS and how your organization can begin reaping their rewards. In this webinar, select APN Partners will share their specific methodology for implementing a Data Lake on AWS and best practices for getting the most from your Data Lake.
Learn how AWS customers save money, time and effort by using AWS's backup and archive services. Organizations of all sizes rely on AWS services to durably safeguard their data off-premises at a surprisingly low cost. This session will illustrate backup and archive architectures that AWS customers are benefitting from today.
Virtual Board Room is a platform that allows organizations to conduct formal board meetings virtually using Robert's Rules of Order and parliamentary procedure. It allows users to set up meetings, upload documents, take roll call, review minutes, discuss initiatives, vote on projects, and get updates from committee chairs. The platform aims to replicate face-to-face board meetings using technology. It recommends preparing in advance, allowing more time, and setting expectations to ensure successful virtual meetings.
Rockwell Automation Presentation from the Supply Chain Insights Summit 2018Lora Cecere
Presentation by Ernest Nicolas, SVP of Rockwell Automation, on transformation of the Rockwell Automation supply chain. Rockwell was a Supply Chains to Admire award winner for 2018.
Migrate from Oracle to Amazon Aurora using AWS Schema Conversion Tool & AWS D...Amazon Web Services
• Understand the issues with commercial database pricing and licensing.
• Learn about the benefits of Amazon Aurora for improving performance and decreasing costs.
• See how AWS Database Migration Service helps with your migration.
• See how AWS Schema Conversion Tool makes conversions simple and quick.
If you’re looking to improve application performance and availability and decrease database costs, it’s time to replace your expensive Oracle databases with an open-source compatible solution. Amazon Aurora is a MySQL-compatible relational database that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. You'll learn how to use the AWS Database Migration Service to migrate your data with minimal downtime, and how the AWS Schema Conversion Tool converts your Oracle schemas and procedural code into Amazon Aurora. We’ll follow with a quick demo of the entire process.
Learn how AWS customers save money, time, and effort by using AWS's backup and archive services. Organizations of all sizes rely on AWS's services to durably safeguard their data off-premises at a surprisingly low cost. This session will illustrate backup and archive architectures that AWS customers are benefitting from today.
Ensuring Voice Quality for Amazon ConnectCarl Blume
Presentation by Chad Hart, callstats.io product manager, and Kentis Gopalla, AWS global consulting partner lead, delivered in the Amazon Connect booth at Enterprise Connect 2019
The document provides an overview of AWS Migration Hub, which is a service that helps manage migrations of applications and workloads to AWS. It discusses common challenges with tracking migrations across different tools. AWS Migration Hub aims to simplify and accelerate migration execution by integrating with tools like AWS Application Discovery Service, AWS Server Migration Service, and AWS Database Migration Service. It allows users to discover applications on-premises, track migration status of applications in AWS Migration Hub as they are migrated using various tools, and then decommission servers once an application is fully migrated.
By using a Data Lake, you no longer need to worry about structuring or transforming data before storing it. A Data Lake on AWS enables your organization to more rapidly analyze data, helping you quickly discover new business insights. Join us for our webinar to learn about the benefits of building a Data Lake on AWS and how your organization can begin reaping their rewards. In this webinar, select APN Partners will share their specific methodology for implementing a Data Lake on AWS and best practices for getting the most from your Data Lake.
Learn how AWS customers save money, time and effort by using AWS's backup and archive services. Organizations of all sizes rely on AWS services to durably safeguard their data off-premises at a surprisingly low cost. This session will illustrate backup and archive architectures that AWS customers are benefitting from today.
Virtual Board Room is a platform that allows organizations to conduct formal board meetings virtually using Robert's Rules of Order and parliamentary procedure. It allows users to set up meetings, upload documents, take roll call, review minutes, discuss initiatives, vote on projects, and get updates from committee chairs. The platform aims to replicate face-to-face board meetings using technology. It recommends preparing in advance, allowing more time, and setting expectations to ensure successful virtual meetings.
Rockwell Automation Presentation from the Supply Chain Insights Summit 2018Lora Cecere
Presentation by Ernest Nicolas, SVP of Rockwell Automation, on transformation of the Rockwell Automation supply chain. Rockwell was a Supply Chains to Admire award winner for 2018.
Migrate from Oracle to Amazon Aurora using AWS Schema Conversion Tool & AWS D...Amazon Web Services
• Understand the issues with commercial database pricing and licensing.
• Learn about the benefits of Amazon Aurora for improving performance and decreasing costs.
• See how AWS Database Migration Service helps with your migration.
• See how AWS Schema Conversion Tool makes conversions simple and quick.
If you’re looking to improve application performance and availability and decrease database costs, it’s time to replace your expensive Oracle databases with an open-source compatible solution. Amazon Aurora is a MySQL-compatible relational database that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. You'll learn how to use the AWS Database Migration Service to migrate your data with minimal downtime, and how the AWS Schema Conversion Tool converts your Oracle schemas and procedural code into Amazon Aurora. We’ll follow with a quick demo of the entire process.
Learn how AWS customers save money, time, and effort by using AWS's backup and archive services. Organizations of all sizes rely on AWS's services to durably safeguard their data off-premises at a surprisingly low cost. This session will illustrate backup and archive architectures that AWS customers are benefitting from today.
Ensuring Voice Quality for Amazon ConnectCarl Blume
Presentation by Chad Hart, callstats.io product manager, and Kentis Gopalla, AWS global consulting partner lead, delivered in the Amazon Connect booth at Enterprise Connect 2019
Going Digital with SAP S/4HANA Sourcing and Procurement and SAP Ariba Solutio...SAP Ariba
This document discusses how SAP S/4HANA and SAP Ariba solutions can be combined to manage all spend categories in a digital way. It covers that going digital means reimagining business processes for the digital world. SAP S/4HANA provides the digital core, while SAP Ariba solutions enable networking and collaboration outside the organization. Specific SAP Ariba solution bundles are highlighted that provide fast time to value when combined with SAP S/4HANA, including collaborative commerce, finance, and supply chain bundles. Key stakeholder functions of finance, procurement, and supply chain are discussed and how the solution benefits them.
This presentation analyzes the SaaS Business Model. It also gives examples of SaaS providers/vendors, and companies that used these services and how they benefited.
In conclusion, I analyze the implications of SaaS and see how it can help improve business IT strategy through cost savings, increased productivity, improved collaboration, and maintaining your competitive advantage.
Hello,
My team and I have done a feasibility Study on the new Amazon Go Store located on Seattle.
We are looking forward for having any constructive feedback.
Thanks.
How will my on-premises data migrate to the cloud? How can I make it transparent to my users? Afterwards, how will on-premises and cloud data interact? In this session you will learn about the AWS Database Migration Service (DMS) and the AWS Schema Migration Tool (SCT). You can use these tools to convert your commercial database and database warehouse to open-source engines or AWS-native services, such as Amazon Aurora and Redshift.
Speakers:
Saurabh Saxena - Principal Technical Account Manager, AWS
Chris England - Sr. Technical Account Manager, AWS
AWS Enterprise Summit Netherlands - Creating a Landing ZoneAmazon Web Services
This document discusses creating a landing zone in AWS for migrating applications from an on-premise data center environment. It covers setting up account structure with separate accounts for production, non-production and centralized services. It also discusses establishing network connectivity with VPC design, identity and access management using IAM, and using AWS Service Catalog for self-service provisioning by cloud consumers. The overall goal is to discuss best practices for creating a secure and governed landing zone in AWS to migrate and operate applications.
Microsoft Dynamics 365 is a suite of business applications that include sales, customer service, field service, project service automation, operations, finance, and marketing. It runs on a common application platform with PowerApps, Microsoft Flow, and Common Data Service. Dynamics 365 has evolved from previous Microsoft offerings like Dynamics CRM and AX. It is available in two editions - Enterprise for larger organizations and Business for smaller organizations. The Enterprise edition provides more functionality across various modules while the Business edition focuses on financials, sales, purchasing, inventory and project management. Licensing is structured with full users and light users.
In this presentation, you will get a look under the covers of Amazon Redshift, a fast, fully-managed, petabyte-scale data warehouse service for less than $1,000 per TB per year. Learn how Amazon Redshift uses columnar technology, optimized hardware, and massively parallel processing to deliver fast query performance on data sets ranging in size from hundreds of gigabytes to a petabyte or more. We'll also walk through techniques for optimizing performance and, you’ll hear from a specific customer and their use case to take advantage of fast performance on enormous datasets leveraging economies of scale on the AWS platform.
Speakers:
Ian Meyers, AWS Solutions Architect
Toby Moore, Chief Technology Officer, Space Ape
This document discusses implementing a data lake on AWS to securely store, categorize, and analyze all types of data in a centralized repository. It describes key attributes of a data lake like decoupled storage and compute, rapid ingestion and transformation, and schema on read. It then outlines various AWS services that can be used to build a data lake like S3, Athena, EMR, Redshift, Glue, and Kinesis. It provides examples of streaming IoT data into a data lake and running queries and analytics on the data.
Software as a service (SaaS) is a software distribution model where applications are hosted by a vendor and accessed online by customers. With SaaS, software is deployed as an online service rather than installed locally. This reduces upfront costs for customers and allows vendors to easily update applications for all users. Key considerations for SaaS include enabling applications to securely serve multiple customers simultaneously and facilitating some level of customization.
This document provides an overview of Amazon Web Services storage and content delivery services, including Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS), and Amazon CloudFront. It describes the core capabilities and use cases for each service. The key points are:
S3 provides scalable object storage and retrieval online. It has unlimited storage capacity and high durability. EBS offers persistent block level storage volumes for EC2 instances with consistent performance. CloudFront is a content delivery network (CDN) that caches and delivers content globally for websites and applications.
Based on the same technology used at Amazon.com, Amazon Forecast uses machine learning to combine time series data with additional variables to build forecasts. Amazon Forecast requires no machine learning experience to get started. You only need to provide historical data, plus any additional data that you believe may impact your forecasts. Come learn more.
This document discusses approaches to implementing Manufacturing Execution Systems (MES). It begins by defining MES and describing the ISA-95 manufacturing operations model. It then contrasts two approaches: the "big bang" implementation of all MES functionality at once versus incremental implementation by selecting individual capabilities. The document advocates for the incremental approach, arguing it has advantages in terms of cost, change management, implementation complexity and return on investment analysis. It provides guidance on developing a long-term roadmap for MES implementation, including establishing goals, identifying opportunities and building implementation plans in a collaborative manner.
This document discusses a presentation about big data and analytics on AWS. It describes what big data is, provides examples of AWS services for ingesting, storing, processing, analyzing and visualizing big data. It also provides examples of industries using AWS for data analysis and discusses Amazon Kinesis for real-time processing of streaming data. Finally, it discusses putting the various AWS services together in an end-to-end big data workflow.
Data Lake allows an organisation to store all of their data, structured and unstructured, in one, centralised repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. In this session we will explore the architecture of a Data Lake on AWS and cover topics such as storage, processing and security.
Speakers:
Tom McMeekin, Associate Solutions Architect, Amazon Web Services
The document outlines an agenda for an AWSome Day event discussing Amazon's partnership model. The agenda includes sessions on the Amazon partnership model, AWS value proposition for partners, AWS Partner Network overview, business opportunities with AWS, AWS partner programs, program details, how to make partnerships work, and going to market with AWS. It also includes graphics showing AWS's growth, customers, services, and security capabilities. The presentation aims to explain Amazon's partnership programs and how partners can leverage AWS to drive new business and revenue opportunities.
How To Reduce Application Support & Maintenance Cost HCL Technologies
The Gartner report contains 5 Alternative Ideas for Applications Management. Learn how to proactively reduce Application support & maintenance cost and impact business performance.
With the continual media focus on Social, Mobile, Analytics and Cloud Services, IT executives can be forgiven for forgetting that a high percentage of existing IT spends remains locked in the management of the existing IT stage. If current approaches to managing IT are not transformed, they will continue to remain locked. The only successful strategy deployed by many organization is the squeeze their IT services providers for incremental discounts. A recent Gartner report stated that "on average in 2012, 35% of IT spending was on applications, 55% was on infrastructure and the remaining 10% was on IT management, finance and administration activities. 50% of an application's cost across its lifecycle is support and maintenance. IT leaders are faced with a paradox of shrinking budgets but a business imperative to grow. Given that fewer than 20% of organizations have an application services strategy, ASM suddenly becomes a big budgetary blind spot
HCL has created a radical new approach. It has combines various industry-leading best practices, including LEAN process Management Principles with focused automation and unstained knowledge reuse for the support and maintenance of applications while creating incremental value for business every day with guaranteed cost reductions: Alternate Applications Support and Maintenance or ALT ASM.
In summary ALT ASM seeks to:
1) understand the cause of ‘work’ in Application Support
2) Stop the ‘work’ arising in the first instance
3) Manage the ‘work’ more effectively when it has arisen
ALT ASM engagements are substantially forward-looking. They continuously monitor applications to identify functional and technical re-engineering requirements. Dynamic business demand for enhanced functionality of legacy applications is met through staffing flexibility. Reduced It complexity is attained by identify redundant applications for decommissioning. The application portfolio is kept lean and total cost of ownership (TCO) is kept low.
More importantly, ALT ASM includes the monitoring of both IT key performance indicators and business process KPIs. Using business process and application visibility tools and process watch dashboards, ALT ASM is able to align IT systems to business processes. ALT ASM propagates alternative thinking of proactively reducing incidents and putting business process first.
An Overview of AWS Services for Data Storage and Migration - SRV205 - Atlanta...Amazon Web Services
In this session, we explore the features and functions of AWS storage services. We provide context on the AWS storage portfolio, and we cover the most common use cases for AWS offerings for object, file, block, and migration technologies, including the AWS Partner Network (APN) ecosystem. Then we examine each service, using customer case studies as examples. You gain an understanding of how to select storage and start moving workloads or building new ones.
This document summarizes an AWS symposium held in Washington DC on June 25-26, 2015. It discusses how AWS started by providing internal infrastructure for Amazon and has grown to serve over 1 million active customers globally across 11 regions and 29 availability zones. The document outlines AWS's broad range of services including compute, storage, databases, analytics and more and how its experience, service breadth, pace of innovation and global footprint set it apart in the cloud market.
Deep Dive on Amazon QuickSight - January 2017 AWS Online Tech TalksAmazon Web Services
The volume of data businesses create and process is growing every day. To get the most value out of this data, companies often invest in traditional BI tools. These tools however require investments in costly on-premises hardware and software. It takes weeks or months of data engineering time to build complex data models; not to mention the additional infrastructure needed to maintain fast query performance as data sets grow. In a nutshell, traditional BI tools are expensive and complex, and prevent companies from making analytics ubiquitous among business users. Amazon QuickSight is built from the ground up to solve these problems by bringing the scale and flexibility of the AWS Cloud and by providing a business user focused experience to business analytics.
Learning Objectives:
• Learn about the capabilities and features of Amazon QuickSight
• Learn about the benefits of Amazon QuickSight
• Learn about the different use cases
• Learn how to get started using Amazon QuickSight
• Understand how to connect to your data sources in the cloud or on-premises
• Learn how to use QuickSight’s SPICE and AutoGraph technologies to quickly spin-up charts and graphs
• Discover insights with your colleagues via Stories and become an analytics pro without any complex BI knowledge
Riversand's Enterprise PIM Solution manages the continuous flow of data throughout the entire Product Information Lifecycle, this product information management helps manage the information required to market and sell products through distribution channels. Know more on http://www.riversand.com/
how to successfully implement a data analytics solution.pdfbasilmph
The adoption of data analytics in business has demonstrated a transformative power in modern entrepreneurship. By analyzing vast reservoirs of data, businesses can make informed decisions, optimize operations and predict trends, thus fueling growth.
Going Digital with SAP S/4HANA Sourcing and Procurement and SAP Ariba Solutio...SAP Ariba
This document discusses how SAP S/4HANA and SAP Ariba solutions can be combined to manage all spend categories in a digital way. It covers that going digital means reimagining business processes for the digital world. SAP S/4HANA provides the digital core, while SAP Ariba solutions enable networking and collaboration outside the organization. Specific SAP Ariba solution bundles are highlighted that provide fast time to value when combined with SAP S/4HANA, including collaborative commerce, finance, and supply chain bundles. Key stakeholder functions of finance, procurement, and supply chain are discussed and how the solution benefits them.
This presentation analyzes the SaaS Business Model. It also gives examples of SaaS providers/vendors, and companies that used these services and how they benefited.
In conclusion, I analyze the implications of SaaS and see how it can help improve business IT strategy through cost savings, increased productivity, improved collaboration, and maintaining your competitive advantage.
Hello,
My team and I have done a feasibility Study on the new Amazon Go Store located on Seattle.
We are looking forward for having any constructive feedback.
Thanks.
How will my on-premises data migrate to the cloud? How can I make it transparent to my users? Afterwards, how will on-premises and cloud data interact? In this session you will learn about the AWS Database Migration Service (DMS) and the AWS Schema Migration Tool (SCT). You can use these tools to convert your commercial database and database warehouse to open-source engines or AWS-native services, such as Amazon Aurora and Redshift.
Speakers:
Saurabh Saxena - Principal Technical Account Manager, AWS
Chris England - Sr. Technical Account Manager, AWS
AWS Enterprise Summit Netherlands - Creating a Landing ZoneAmazon Web Services
This document discusses creating a landing zone in AWS for migrating applications from an on-premise data center environment. It covers setting up account structure with separate accounts for production, non-production and centralized services. It also discusses establishing network connectivity with VPC design, identity and access management using IAM, and using AWS Service Catalog for self-service provisioning by cloud consumers. The overall goal is to discuss best practices for creating a secure and governed landing zone in AWS to migrate and operate applications.
Microsoft Dynamics 365 is a suite of business applications that include sales, customer service, field service, project service automation, operations, finance, and marketing. It runs on a common application platform with PowerApps, Microsoft Flow, and Common Data Service. Dynamics 365 has evolved from previous Microsoft offerings like Dynamics CRM and AX. It is available in two editions - Enterprise for larger organizations and Business for smaller organizations. The Enterprise edition provides more functionality across various modules while the Business edition focuses on financials, sales, purchasing, inventory and project management. Licensing is structured with full users and light users.
In this presentation, you will get a look under the covers of Amazon Redshift, a fast, fully-managed, petabyte-scale data warehouse service for less than $1,000 per TB per year. Learn how Amazon Redshift uses columnar technology, optimized hardware, and massively parallel processing to deliver fast query performance on data sets ranging in size from hundreds of gigabytes to a petabyte or more. We'll also walk through techniques for optimizing performance and, you’ll hear from a specific customer and their use case to take advantage of fast performance on enormous datasets leveraging economies of scale on the AWS platform.
Speakers:
Ian Meyers, AWS Solutions Architect
Toby Moore, Chief Technology Officer, Space Ape
This document discusses implementing a data lake on AWS to securely store, categorize, and analyze all types of data in a centralized repository. It describes key attributes of a data lake like decoupled storage and compute, rapid ingestion and transformation, and schema on read. It then outlines various AWS services that can be used to build a data lake like S3, Athena, EMR, Redshift, Glue, and Kinesis. It provides examples of streaming IoT data into a data lake and running queries and analytics on the data.
Software as a service (SaaS) is a software distribution model where applications are hosted by a vendor and accessed online by customers. With SaaS, software is deployed as an online service rather than installed locally. This reduces upfront costs for customers and allows vendors to easily update applications for all users. Key considerations for SaaS include enabling applications to securely serve multiple customers simultaneously and facilitating some level of customization.
This document provides an overview of Amazon Web Services storage and content delivery services, including Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS), and Amazon CloudFront. It describes the core capabilities and use cases for each service. The key points are:
S3 provides scalable object storage and retrieval online. It has unlimited storage capacity and high durability. EBS offers persistent block level storage volumes for EC2 instances with consistent performance. CloudFront is a content delivery network (CDN) that caches and delivers content globally for websites and applications.
Based on the same technology used at Amazon.com, Amazon Forecast uses machine learning to combine time series data with additional variables to build forecasts. Amazon Forecast requires no machine learning experience to get started. You only need to provide historical data, plus any additional data that you believe may impact your forecasts. Come learn more.
This document discusses approaches to implementing Manufacturing Execution Systems (MES). It begins by defining MES and describing the ISA-95 manufacturing operations model. It then contrasts two approaches: the "big bang" implementation of all MES functionality at once versus incremental implementation by selecting individual capabilities. The document advocates for the incremental approach, arguing it has advantages in terms of cost, change management, implementation complexity and return on investment analysis. It provides guidance on developing a long-term roadmap for MES implementation, including establishing goals, identifying opportunities and building implementation plans in a collaborative manner.
This document discusses a presentation about big data and analytics on AWS. It describes what big data is, provides examples of AWS services for ingesting, storing, processing, analyzing and visualizing big data. It also provides examples of industries using AWS for data analysis and discusses Amazon Kinesis for real-time processing of streaming data. Finally, it discusses putting the various AWS services together in an end-to-end big data workflow.
Data Lake allows an organisation to store all of their data, structured and unstructured, in one, centralised repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. In this session we will explore the architecture of a Data Lake on AWS and cover topics such as storage, processing and security.
Speakers:
Tom McMeekin, Associate Solutions Architect, Amazon Web Services
The document outlines an agenda for an AWSome Day event discussing Amazon's partnership model. The agenda includes sessions on the Amazon partnership model, AWS value proposition for partners, AWS Partner Network overview, business opportunities with AWS, AWS partner programs, program details, how to make partnerships work, and going to market with AWS. It also includes graphics showing AWS's growth, customers, services, and security capabilities. The presentation aims to explain Amazon's partnership programs and how partners can leverage AWS to drive new business and revenue opportunities.
How To Reduce Application Support & Maintenance Cost HCL Technologies
The Gartner report contains 5 Alternative Ideas for Applications Management. Learn how to proactively reduce Application support & maintenance cost and impact business performance.
With the continual media focus on Social, Mobile, Analytics and Cloud Services, IT executives can be forgiven for forgetting that a high percentage of existing IT spends remains locked in the management of the existing IT stage. If current approaches to managing IT are not transformed, they will continue to remain locked. The only successful strategy deployed by many organization is the squeeze their IT services providers for incremental discounts. A recent Gartner report stated that "on average in 2012, 35% of IT spending was on applications, 55% was on infrastructure and the remaining 10% was on IT management, finance and administration activities. 50% of an application's cost across its lifecycle is support and maintenance. IT leaders are faced with a paradox of shrinking budgets but a business imperative to grow. Given that fewer than 20% of organizations have an application services strategy, ASM suddenly becomes a big budgetary blind spot
HCL has created a radical new approach. It has combines various industry-leading best practices, including LEAN process Management Principles with focused automation and unstained knowledge reuse for the support and maintenance of applications while creating incremental value for business every day with guaranteed cost reductions: Alternate Applications Support and Maintenance or ALT ASM.
In summary ALT ASM seeks to:
1) understand the cause of ‘work’ in Application Support
2) Stop the ‘work’ arising in the first instance
3) Manage the ‘work’ more effectively when it has arisen
ALT ASM engagements are substantially forward-looking. They continuously monitor applications to identify functional and technical re-engineering requirements. Dynamic business demand for enhanced functionality of legacy applications is met through staffing flexibility. Reduced It complexity is attained by identify redundant applications for decommissioning. The application portfolio is kept lean and total cost of ownership (TCO) is kept low.
More importantly, ALT ASM includes the monitoring of both IT key performance indicators and business process KPIs. Using business process and application visibility tools and process watch dashboards, ALT ASM is able to align IT systems to business processes. ALT ASM propagates alternative thinking of proactively reducing incidents and putting business process first.
An Overview of AWS Services for Data Storage and Migration - SRV205 - Atlanta...Amazon Web Services
In this session, we explore the features and functions of AWS storage services. We provide context on the AWS storage portfolio, and we cover the most common use cases for AWS offerings for object, file, block, and migration technologies, including the AWS Partner Network (APN) ecosystem. Then we examine each service, using customer case studies as examples. You gain an understanding of how to select storage and start moving workloads or building new ones.
This document summarizes an AWS symposium held in Washington DC on June 25-26, 2015. It discusses how AWS started by providing internal infrastructure for Amazon and has grown to serve over 1 million active customers globally across 11 regions and 29 availability zones. The document outlines AWS's broad range of services including compute, storage, databases, analytics and more and how its experience, service breadth, pace of innovation and global footprint set it apart in the cloud market.
Deep Dive on Amazon QuickSight - January 2017 AWS Online Tech TalksAmazon Web Services
The volume of data businesses create and process is growing every day. To get the most value out of this data, companies often invest in traditional BI tools. These tools however require investments in costly on-premises hardware and software. It takes weeks or months of data engineering time to build complex data models; not to mention the additional infrastructure needed to maintain fast query performance as data sets grow. In a nutshell, traditional BI tools are expensive and complex, and prevent companies from making analytics ubiquitous among business users. Amazon QuickSight is built from the ground up to solve these problems by bringing the scale and flexibility of the AWS Cloud and by providing a business user focused experience to business analytics.
Learning Objectives:
• Learn about the capabilities and features of Amazon QuickSight
• Learn about the benefits of Amazon QuickSight
• Learn about the different use cases
• Learn how to get started using Amazon QuickSight
• Understand how to connect to your data sources in the cloud or on-premises
• Learn how to use QuickSight’s SPICE and AutoGraph technologies to quickly spin-up charts and graphs
• Discover insights with your colleagues via Stories and become an analytics pro without any complex BI knowledge
Riversand's Enterprise PIM Solution manages the continuous flow of data throughout the entire Product Information Lifecycle, this product information management helps manage the information required to market and sell products through distribution channels. Know more on http://www.riversand.com/
how to successfully implement a data analytics solution.pdfbasilmph
The adoption of data analytics in business has demonstrated a transformative power in modern entrepreneurship. By analyzing vast reservoirs of data, businesses can make informed decisions, optimize operations and predict trends, thus fueling growth.
How To Pick The Best Analytics Tools: Product Analytics Landscape
Here, we’ll talk about assessment criteria, key features, and greater for deciding on systems and gear that match your enterprise app development desires.
Choosing the right solution for your data
Because massive facts apply to the sort of huge spectrum of use app development instances, packages, and industries, it’s difficult to nail down a definitive listing of choice criteria.
Types of data analytics tools & key features
What is the gear used for massive facts analytics? Data analytics tools gear constitute a huge category, though they have a tendency to fall into some key groups.
Customer data platforms
Customer data platforms like customer relationship management platforms (CRM) seize purchaser facts that may be used to enhance strategies or promote products. However, CDPs take matters to the following level.
Core capabilities:
• 360-diploma view of the purchaser.
• Connect more than one fact source.
• Unifies purchaser facts throughout all linked structures.
• Improve concentrated on for advertising campaigns.
Business intelligence (BI) tools
Today’s business intelligence (BI) assists companies to see iOS app development and apprehend facts. According to gartner, BI gear span 3 major categories. Online analytical processing, or OLAP, permits fact discovery, ad-hoc reporting, simulation fashions, overall performance control, and different complicated evaluation abilities. There’s additionally statistics transport–which serves up insights within the shape of visualizations, reports, and dashboards. And finally, BI integration–which offers metadata control and imparting app developers surroundings to assist your method.
Core capabilities:
• Data visualization.
• Predictive modeling.
• Data mining.
• Forecasting.
Customer analytics tools
Customer analytics is designed to control the overall analytics technique from guidance to perception generation. In maximum instances, purchaser analytics systems include web development pre-built facts fashions for forecasting, propensity to buy, and numerous statistical evaluation strategies to apprehend purchaser conduct and optimize products, offerings, and reports.
Core capabilities:
• Granular segmentation.
• Customer satisfaction Insights.
• Statistical modeling.
• Acquisition, retention, & churn metrics.
Digital experience platforms
Digital experience platforms is a new kind of enterprise-grade software development designed to optimize the purchaser revel in at each touchpoint. While DXPs overlap with purchasers revel in control systems, DXPs cognizance greater on streamlining strategies, coordinating and personalizing content material to customers throughout an extensive variety of channels which include the Internet of Things (IoT), virtual assistants, VR reports, and greater.
Core capabilities:
• API-first structure.
• Multi-touchpoint control.
• Dynamic templates for automating personalization.
• Content control and transport.
Communication Service Providers (CSPs) can navigate the path to successful digital transformation through deep industry expertise, modular and customized solutions that meet real needs.
This document discusses Tata Consultancy Services' (TCS) solutions for helping organizations achieve digital transformation. TCS offers modular, customizable solutions that meet real business needs and help retailers improve the customer experience with a 360-degree view, increase marketing effectiveness, and lower operational costs. Traditional solutions of generic technology platforms or non-integrated point products are problematic because they require customization, integration, and do not holistically address digital transformation challenges. TCS provides an integrated platform approach with industry-specific modules running on a common data and e-commerce platform to help organizations solve their digital transformation challenges.
The document discusses the future of underwriting and how talent and technology will transform the role. It notes that underwriters will take on more transformative roles like sales executives, decision makers using predictive analytics, and customer advocates. Technology like sensors, telematics, and automation will change underwriting processes. Those who invest in analytical talent and tools like data management and pricing optimization will be better positioned for the future.
Totem Sustainability wants to make sustainability easy and affordable for all organisations. Starting with a focus on energy, water and waste data we will help organisations manage their legal and voluntary sustainability requirements and integrate their reporting, saving time, money, and the planet. The data will then be shared to increase the learning opportunities for our customers and for governments, universities and other interested parties. That’s Sustainability for Everyone.
This document discusses eight criteria for choosing a self-service analytics platform: 1) Usability - The interface should be intuitive for both power users and non-technical users. 2) Scalability - The platform should be able to support a growing user base without increasing costs. 3) Security - The platform must have strong data security to safely share information with external users. 4) Data services and integration - The platform should integrate data from various sources and enable access for users. 5) Functionality - The platform should have a broad range of capabilities in a single system to meet different user needs. Real-world examples are provided to illustrate how companies have benefited from self-service analytics.
The document discusses how businesses can unlock the value of big data through analytics. It describes how big data includes a variety of structured and unstructured data that can provide insights into customer behaviors. The power of big data analytics is that it can transform vast amounts of information into actionable intelligence to change business outcomes. The document then provides examples of how big data analytics can be used to optimize different phases of the customer lifecycle, including purchase interactions, usage interactions and support interactions, in order to increase metrics like customer lifetime value.
Business Intelligence, Data Analytics, and AIJohnny Jepp
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1) The document discusses a QA-CAPA solution for managing customer claims and non-conformities to standard procedures.
2) The solution aims to simplify the creation and investigation of issues while providing visibility, integration, and traceability.
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2) The solution aims to simplify the creation and investigation of issues while providing visibility, integration, and traceability.
3) It focuses on automating the systematic investigation of root causes through a collaborative system that tracks tasks, documents, and communications.
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Similar to Cost to-Serve overview for Consumer Packaged Goods Companies (20)
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2. Do you know the
cost to serve your
customers?
Effective cost-to-serve programs
account for all activities at each step of
the supply chain involved in getting a
specific product to a unique customer.
“Profitability analysis is used to address
many strategic business challenges with
67 percent leveraging it for overall
supply chain optimization.”
Source: “Cost-to-Serve Methodologies: Analysis You Can’t Afford to Ignore”, Accenture
3. Consumer Packaged Goods (CPG) companies face a wide
range of challenges to grow profits
Volatile raw
material costs
Rising trade
promotion spending
Increasing distribution and
transportation costs
Raw material and commodity
prices can shift due to market
demand, supplier changes,
governmental policies, and other
unforeseen circumstances.
The second highest cost for CPG
companies beyond COGS, trade
promotion spending is increasing
due to competition from private
label brands and price
consciousness of consumers.
With retailers growing clout in
distribution negotiations, forcing
CPG companies to hold more
inventory and provide more
deliveries which ultimately
increases costs.
Main issues for decreasing margins of many CPG companies
Source: “Cost-to-Serve Analysis”, TATA Consultancy Services
4. True profitability
requires a detailed
understanding of
costs.
Effective cost-to-serve programs uncover the true profitability of
every customer and product by providing detailed Profit & Loss
statements for EVERY business dimension.
5. Handling Costs Order Picking Costs Labor Costs Raw Material Costs
Transportation Costs Sales Costs Miscellaneous Costs
A wide range of costs are needed to
calculate accurate Cost-to-Serve results.
6. CPG companies are
still using outdated
tools to calculate
costs and profits.
79%
21%
17% 17%
4% 4%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
Spreadsheet
model with
manual and/or
automatic data
feeds
Network and/or
inventory
modeling
software
ERP software
module
In-house
developed
database
application with BI
Don't know/Not
applicable
Other
Nearly 80% of CPG companies
are using spreadsheets to build
and maintain some or all of their
cost-to-serve models.
Source: “Cost-to-Serve Methodologies: Analysis You Can’t Afford to Ignore”, Accenture
7. Spreadsheet
analytics has
limitations.
Challenges with spreadsheets include
• Integrity of data due to manual interactions and
inconsistent assumptions
• Data not easily shared across the organization
• Multiple versions of the truth exist
• Not scalable for large data sets
• Auditing and security not inherent and difficult to enforce
35% of spreadsheet users admit they are
fully aware that the spreadsheets used to
manage their most important business
processes have errors.
Source: Deloitte
8. ImpactECS offers end-to-end visibility
into your company’s costs and profits
Centralized cost and profitability
platform configurable to handle
unique business rules
Harmonized data to allow for
true analysis and comparisons
Scalable architecture to handle
large data sets and calculate an
unlimited number of scenarios
High-performance calculation
engine to deliver answers quickly
and more accurately than
spreadsheets or offline systems
9. Benefits of ImpactECS:
● Centralized and highly configurable cost and profitability platform
● Modeling and scenario management capabilities owned by
business lines, not IT
● Tightly integrated with existing infrastructure
● Unlimited cost detail for products, activities and routings
● Integrated sandbox environment
● Controlled and secure access with full auditing capabilities
ImpactECS is a robust cost and
profitability platform designed to
handle cost-to-serve analytics.
10. ImpactECS
offers visibility
into costs and
profits at every
level of detail.
ImpactECS gives you the
ability to view high level
profitability, detailed
cost-to-serve, and
granular product cost
results in one system.
Natural cost detail calculated for every
raw material, WIP, or finished good.
Specific costs for each
activity required to get
goods to customers.
Dashboards provide visual
representation and drill-
down capabilities.