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Forrester Focus Report on Indian BFSI: We’re Betting On…

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Case Study

Home Depot’s Interconnected Retail Experience by Virtue of Google Cloud Migration for SAP Applications

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In 2017, home improvement brand Home Depot began its Google Cloud migration for SAP applications. The migration strategy had a multifold impact on the brand's CX and retail shopping experiences with better flexibility, speed and scale.

With nearly 2,300 stores, The Home Depot is the world’s largest home-improvement chain — a brand that professional contractors and DIYers alike have come to depend on. The home improvement industry continues to experience unprecedented demand and dramatic increases in online ordering accompanied by expanding consumer expectations for things like curbside pickup and same day delivery. The Home Depot’s decision to migrate to cloud-based infrastructure, including the migration of the company’s SAP applications on Google Cloud which began in 2017, has set it up for success in an increasingly digital world, and helped the company adapt to changing market conditions quickly. 

Interconnected retail at scale

Building on a strong customer-first philosophy, The Home Depot aims to create what it calls interconnected retail—allowing customers to shop however, whenever, and wherever they want. “So many companies are focused on omni-channel retail,” explains Sam Moses, Vice President of Corporate Systems. “At The Home Depot, we wanted to take it to the next level. Interconnected retail puts the customer at the center of everything and enables them to shop in store, online, or both. Customers can begin a transaction online and continue in-store, or vice-versa.”

To support this strategy, the company’s SAP environment needed to be more agile. Running  everything on-premises, from central finance to POS systems, meant that The Home Depot’s IT teams experienced redundancy and repetitive, manual processes. Their data warehouse needed an upgrade to process and analyze growing and increasingly diverse data sets. The Home Depot chose to migrate its SAP environment to Google Cloud to support both the velocity and scale needed for the business as well as critical analytics capabilities needed for its bold digital initiatives. “We chose Google Cloud to support our SAP implementation. Our decision had a lot to do with the relationship between Google Cloud and SAP and also for the applications and services that are offered by Google Cloud, like BigQuery, which are helping to enable data and analytics within our organization,” Moses explains.

After migrating its SAP applications—including S/4HANA, its customer activity repository (CAR), general ledger, e-commerce system, enterprise data warehouse and more to Google Cloud, the company now has the speed, scale and flexibility to tackle enormous spikes in the business, all while staying fully available for their customers. Additionally, The Home Depot was able to transform its financial systems and make them more agile to deliver critical information across multiple business functions in real time.

Maximizing data insights to support customer experiences

By migrating to Google Cloud, The Home Depot is leveraging Google Cloud analytics to build   the industry’s most efficient supply chain including more robust demand forecasting, supplier lead times, estimated delivery times and more, all while maintaining better security than before. “We experienced unprecedented change in our customers’ behavior and their buying patterns, which puts a lot of pressure on our supply chain,” explains Moses. “So having the ability to leverage data and analytics gives us insights to know exactly what it is that our customers need.” 

The company’s analysts now use BigQuery ML for machine learning directly against the company’s BigQuery data and use AutoML to determine the best model for predictions. The Home Depot’s engineers have also adapted BigQuery to monitor, analyze, and act on application performance data across all its stores and warehouses in real time—capabilities that were not as seamless in the on-premises environment.

With hundreds of projects on Google Cloud, The Home Depot’s cloud journey is well on track, but the company is always looking to the future. “As our customers’ needs have continued to evolve, and as technology has continued to evolve, our relationship with Google will continue to advance — to be able to innovate together, to be able to find new solutions together, to better serve our customers.”

Learn more about how The Home Depot is renovating its retail operation with SAP on Google Cloud.

Blog

4 Steps to a Successful Cloud Migration

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A migration journey to the cloud can be daunting. Here are four basic steps you need to follow to migrate successfully and efficiently.

Digital transformation and migration to the cloud are top priorities for a lot of enterprises. At Google Cloud, we’re working hard to make this journey easier. For example, we recently launched Migrate for Compute Engine and Migrate for Anthos to simplify cloud migration and modernization. These services have helped customers like Cardinal Health perform successful, large-scale migrations to GCP

But we understand that the migration journey can be daunting. To make things easier, we developed a whitepaper on application migration featuring investigative processes and advice to help you design an effective migration and modernization strategy. This guide outlines the four basic steps you need to follow to migrate successfully and efficiently:  

  1. Build an inventory of your applications and infrastructure: Understanding how many items, such as applications and hardware appliances, exist in your current environment is an important first step.
  2. Categorize your applications: Analyze the characteristics of all of your applications and evaluate them across two dimensions: migration to cloud, and modernization.
  3. Decide whether or not to migrate an application to the cloud: Not all applications should move to the cloud quite yet. The whitepaper lists the questions to ask to determine whether or not to migrate a given application.
  4. Pick your migration strategy: For the applications you decided to migrate, decide on your ideal strategy—pure lift and shift, containers, cloud managed services, or a combination thereof.

There’s a lot to consider when you start thinking about digital transformation, and every cloud modernization project has its nuances and unique considerations. The secret to success is understanding the advantages and disadvantages of the options at your disposal, and weighing them against what you want to transform and why. To learn how to migrate and modernize your applications with Google Cloud, download this whitepaper.

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Case Study

See How Rémy Cointreau Drives Customer Centricity with SAP on Google Cloud

Rémy Cointreau is a French, family-owned business group whose origins date back to 1724. Rémy Cointreau is working to be a more customer centric organization. In order to fulfill this goal and to modernize, they determined they needed to get away from infrastructure management and decided to move their SAP landscape to Google Cloud.

Additionally Rémy Cointreau wanted to become more data centric. Learn how operations that used to take five weeks now take five minutes. Learn how Rémy Cointreau is leveraging live data analysis and is preparing for the future with SAP on Google Cloud.

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Confused about Cloud? Here is a Primer to get all Your Doubts Answered

When you have decided on moving workloads to the cloud, the task of choosing the right cloud platform can be a tough one with many questions looming in your mind. From which specific product to choose from the plethora of options available to how and where to store your data in the cloud to how secure is your data to how to get started on new and interesting projects like artificial Intelligence and machine learning, the questions can be endless.

However, what you need are answers for making a decision.

Get answers to some of the most commonly asked questions by customers from the Google Cloud Customer Engineers directy. From understanding the role of a Google Customer Engineer and how they can help you in your cloud journey to understanding the various products within the Google Cloud Platform for Infrastructure as a Service for hosting and running both managed VMs and containerized applications and Platform as a Service for building applications to the various fully managed data storage options for structured, unstructured, transactional or relational data, they have the answers to all your questions.

Watch this video to get answers to all your questions.

Whitepaper

Google Cloud Garners Highest Score in Forrester New Wave for Computer Vision Platforms

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In Forrester’s evaluation of the emerging market for computer vision platforms, it identified the 11 most significant providers in the category — Amazon Web Services, Chooch AI, Clarifai, Deepomatic, EdgeVerve, Google, Hive, IBM, Microsoft, Neurala, and SAS — and evaluated them.

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Its report details its findings about how well each vendor scored against 10 criteria and where they stand in relation to each other.

Google Cloud was classified as “differentiated” (the highest class) across all 10 criteria.

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Find out more. Download The Forrester New Wave™: Computer Vision Platforms, Q4 2019.

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