The Incredible Story of How Hero MotoCorp Moved 6,000 Users to the Cloud in 45 Days
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Assembling thousands of parts into one motorbike or scooter every 17 seconds is a complex task requiring accuracy and precision. For Hero MotoCorp — an India-headquartered manufacturer of two-wheeler vehicles — workforce collaboration, security, and mobility complement these processes and provide the cornerstone of the organization’s global operations.
Based in New Delhi, Hero MotoCorp is one of the world’s largest makers of two-wheeler vehicles, with a production capacity of 9 million units from five manufacturing plants in India and one each in Colombia and Bangladesh. The business has more than 90 million customers and operates in 37 countries across Asia, Africa, and South and Central America. In its home market, HeroMotoCorp sells one in every two two-wheelers.
Innovation and agility
Innovation and agility are deeply embedded in Hero MotoCorp’s culture and operations. Its Center of Innovation and Technology at Jaipur in Rajasthan, northern India, undertakes extensive product design and development, testing, and validation.
Hero MotoCorp has also established a technology center at Stephanskirchen, near Munich in Germany, to develop new vehicle concepts and technologies.
For several years, Hero MotoCorp relied on a traditional email solution to enable its employees to communicate and complete tasks. However, this solution could not provide the functionality, performance, ease of use, and security the business needed to maintain its market leadership.
“Our Chief Information Officer, Mr. Vijay Sethi, was the first to migrate to and embrace the features of G Suite and set an example to our workforce.”
Sujoy Brahmachari, Sr. GM and CISO, Hero MotoCorp
“Security, in particular, is extremely important — we don’t want our product design and development details falling into the wrong hands,” says Sujoy Brahmachari, Sr. GM and CISO, Hero MotoCorp. “We needed a solution that would allow us to control and monitor the distribution of sensitive information within and outside our organization.”
In early 2015, Hero MotoCorp’s technology team began evaluating email and workplace collaboration applications that could help the business realize its longer-term ambitions.
Collaboration key to success
“We were focused on a product that could drive greater collaboration among our workforce,” says Brahmachari. “In addition, we wanted to use the product on our desktops, laptops, mobile devices, and other devices. Finally, we needed to ensure email, other applications, and data were secure and available as and when we needed them.”
Hero MotoCorp’s evaluation found G Suite met all these requirements while being intuitive and easy to use. Furthermore, the cloud-based suite of intelligent applications provided a lower total cost of ownership than the business’s existing email solution and potential alternatives.
A 45-day migration
The business completed its review and completed the migration in just 45 days in 2015. “We worked closely with Google and our partners to complete the process in an innovative way that prioritized speed,” says Brahmachari. “For example, we migrated only three months’ worth of emails from our incumbent solution to G Suite, rather than the entire data repository.”
“Our teams are very happy and collaborative – employees can use Gmail through G Suite without being concerned about storage limits and can connect with colleagues, partners, customers, and other stakeholders through the chat, video, and audio call capabilities of Hangouts Meet.”
Sujoy Brahmachari, Sr. GM and CISO, Hero MotoCorp
Hero MotoCorp started the migration with a function-wise approach, creating batches and moving them overnight to G Suite. It created an internal video for employees to learn how to work using G Suite. It also created intranet posts to provide easy reference to all employees and established a service desk to respond to questions.
“Our Chief Information Officer, Mr. Vijay Sethi, was the first to migrate to and embrace the features of G Suite and set an example to our workforce,” says Brahmachari.
Deployed to 6,000 users
Hero MotoCorp has deployed G Suite to about 6,000 users in its core business and many users in affiliate companies. The company’s user-focused approach to the deployment, and the intuitive, easy-to-use nature of the product, has prompted the business’s workforce to embrace the full potential of G Suite.
“Our teams are very happy and collaborative — employees can use Gmail through G Suite without being concerned about storage limits and can connect with colleagues, partners, customers, and other stakeholders through the chat, video, and audio call capabilities of Hangouts Meet,” says Brahmachari.
Employees can also create, store, and access Docs, Sheets, Slides, and other file types on Drive — helping to ensure new product development, delivery schedules, budgeting, and other activities needed to keep a leading multinational manufacturer ahead of its competitors can be completed quickly and collaboratively.
Deployed to mobile devices
“With G Suite, information is available in the cloud to any employee at any time. The collaboration this enables plays a vital role in sustaining our leadership position.”
Sujoy Brahmachari, Sr. GM and CISO, Hero MotoCorp
Hero MotoCorp has also been able to give employees access to G Suite on a range of mobile devices — with administrators using mobile management to secure access applications and data on iOS and Android devices. The business is using the feature to require devices to have a screen lock or password; remote-wipe information from lost or stolen devices; and monitor from a central console the devices that access corporate data.
Further, Hero MotoCorp can use G Suite features to set and enforce policies and control system configuration and administration, while taking advantage of independently verified security, privacy, and compliance controls to meet business requirements.
With G Suite deployed and delivering value, Hero MotoCorp is now implementing or evaluating a range of Google technologies. For example, the business is using Google Maps Platform to power navigation for owners of new Hero MotoCorp two-wheelers and use Cloud Vision AI to enable immediate recognition of spare parts. “We are also evaluating Google Cloud data search and management technologies for potential application within the organization,” says Brahmachari.
The business is now well-positioned to accelerate into new markets and product development. “With G Suite, information is available in the cloud to any employee at any time,” says Brahmachari. “The collaboration this enables plays a vital role in sustaining our leadership position.”
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Sneak peek: What’s to come in Chrome Browser for the enterprise
The Chrome Browser Cloud Management accomplishes three goals. First, it is a single destination for applying Chrome Browser policies across Windows, Mac, and Linux from one pane of glass.
Second, admins can gain easy insight into their deployment, including getting a list of extensions installed in their fleet. And third, for admins that have large organizations, it offers an easy way to delegate management to specific organizational units. We’ve also added a memory limit policy, an M79, which is super useful for admins that manage a lot of virtual machines.
This policy allows admins to limit the amount of memory that Chrome can use before tabs start being discarded. If you have large VMware or Citrix environments, we highly recommend trying out this policy.
Admins will now have more granular controls over update behavior. In addition to the version controls that already exist today, Chrome now has a policy to configure Chrome variations. Watch this video to find out what more you can do with the Chrome Browser Cloud Management solution.
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Communication in G Suite: The Future of Gmail, Chat, Meet, and More
Let’s take a step back and acknowledge the sudden shift that many of our businesses and employees have recently faced in the workplace.
A lot of people, who for a really long time relied on physical office space and infrastructure to both communicate and collaborate, have had to shift how they work and quickly. The crisis at hand has become a massive catalyst to remote, distributed and flexible work. And almost 3/4 of CFOs actually predict that these changes will permanently affect how companies choose to work moving forward.
While we’re well into this new reality, I want to quickly recap a few ways we’ve adapted to try to make this change to flexible work easier on people and organizations. First, we made premium Meet features available to all G Suite users, which meant that every customer, from schools to startups to small businesses to large enterprises, could leverage larger meeting sizes, live streams, recordings, and more.
In this video, find out more about how Google Workspace (formerly G Suite) is changing the future of work.
Cart.com to Transform e-Commerce for Brands Globally
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The ecommerce playing field has been hard to navigate for most retailers, and Cart.com is on a mission to change that. Traditionally, retailers needing to run their online store, order fulfillment, customer service, marketing, and other essential activities have had to cobble together systems to get the capabilities they need – much less having access to analytics across these functions. The result is costly, siloed ecommerce operations that are difficult to manage and scale.
It’s clearly not a formula for success, yet that’s the reality facing most retailers. Cart.com, in contrast, has set out to democratize ecommerce by giving brands of all sizes the full capabilities they need to take on the world’s largest online retailers. Our end-to-end environment empowers retailers to keep more of their revenue, set up proven strategies for managing all aspects of their business, and act on valuable insights from customer data every step of the way.
Together with our talented team, we’re building a unified ecommerce platform that already provides value to many leading or up and coming brands including Whataburger, GUESS, Dr. Scholl’s, Rowing Blazers, and Howler Bros.
We’re excited about the opportunity ahead as we reimagine traditional approaches to online sales, fulfillment, marketing, accessing growth capital, providing a unified view of all ecommerce and marketing analytics, and other activities. Expectations for Cart.com are high, and we are building a company that can scale to $100B in revenue and beyond. Supported by the Startup Program by Google Cloud and Google Cloud solutions, we’re establishing a technology platform to transform all aspects of ecommerce for brands worldwide.
Partner in disruption
At Cart.com, we’re currently targeting an underserved market. Our ideal customer is beyond demonstrating product-market-fit and is now at an inflection point seeking a growth opportunity. Typically, those companies are generating between $1M and $100M in annual revenue. We’ve seen an enthusiastic response from brands and retailers as well as investors, with backing from investors in just over a year totaling $143 million in three funding rounds.
Our strategy is to build an integrated ecommerce model that combines best-of-breed solutions, many of which we gain through acquisitions and then build upon to provide a streamlined and fully integrated experience for our brands. We’ve made seven acquisitions so far to round out our online store, order fulfillment, marketing services, customer service, and we have launched some integral partnerships including easy access to growth capital through our relationship with Clearco and product protection for customers on every purchase with Extend. Instead of acquiring a data company, we’re building our data platform on Google Cloud, across each operating function for a single-view for brands to harness actionable data. We see Google Cloud as the leader for data management, analytics, machine learning (ML) and artificial intelligence (AI).
Other reasons why we’re building our business on Google Cloud include scalability, excellence, security, reach, and data analytics that are far superior to other environments.
We also feel a cultural and mission alignment with Google Cloud and envision leaning into a long-term partnership of marketing, selling, and disrupting the disruptors together. Equally important to us are the investments Google Cloud is willing to make in early-stage companies like ours. The support through the Google Cloud for Startups program has been outstanding.
Built on Google Cloud
A wide range of Google Cloud solutions provide the foundation for our platform. For instance, Cloud Pub/Sub keeps our services communicating with one another. We rely on fully managed relational databases, like Cloud SQL and Cloud Spanner, to securely handle the huge volume of brand and shopper data generated every day.
Cloud Run allowed us to develop inside of containers before our Kubernetes infrastructure was ready to go. Now, we are taking advantage of all the capabilities in Google Kubernetes Engine. BigQuery integrates with all Google Cloud solutions and offers true data streaming natively out of the box, along with Dataflow for advanced analytics. We also use Container Registry to store and manage our Docker container images. Right now, we’re testing Cloud Composer to evaluate using it for data workflow orchestration instead of Apache Airflow.
The openness of the Google Cloud environment is further enabled by Anthos, which we may deploy soon to perform data integrations quickly as we acquire more companies over the next year. For example, if we acquire a company using Azure, we can easily align it with our Google Cloud ecosystem.
Enabling ecommerce 2.0
Recently, our team has been experimenting with Google Cloud Vertex AI and the fully managed services of AI deployment and ML operations. The capabilities would save us substantial time in the management of the ML lifecycle which allows us to focus more on developing proprietary AI that will transform commerce at scale.
Because Google Cloud is so far ahead in data science, our teams benefit from deep Google Cloud expertise as we look to provide brands with unmatched insights into customers to improve services and revenue. We’re also planning to test Recommendations AI among other tools to deploy customer product recommendations and personalization as turnkey productized offerings. Moving forward, we will likely use Bigtable to aid in serving machine learning to hundreds of thousands of brands due to its low latency and scalability.
Fanatical about brand success
We know that our work with Google Cloud for Startups and use of Google Cloud solutions for best-in-class data management, analytics, ML, and AI will enable us to offer even more transformative services to brands.
We also see the opportunity to use our platform and customer insights to break down barriers between brands, enabling retailers to share information and work better together when it’s in their best interests. What we’re building today on Google Cloud is fundamentally changing what’s possible for retailers of any size everywhere.
As a startup, when recruiting talent or working with prospective customers, it helps to share our success with Google Cloud. We view them as an extension of the Cart.com team. It also validates our business as we continue building a more integrated, holistic approach to commerce that opens new opportunities and drives growth for brands worldwide.
For more details about Cart.com’s vision for unified ecommerce, check out our video.
If you want to learn more about how Google Cloud can help your startup, visit our page here to get more information about our program, and sign up for our communications to get a look at our community activities, digital events, special offers, and more.
A set of new capabilities to build a differentiated data platform: BigLake, now generally available
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Data continues to grow in volume and is increasingly distributed across lakes, warehouses, clouds, and file formats. As more users demand more use cases, the traditional approach to build data movement infrastructure is proving difficult to scale. Unlocking the full potential of data requires breaking down these silos, and is increasingly a top priority for enterprises.
Earlier this year, we previewed BigLake, a storage engine that extends innovations in BigQuery storage to open file formats running on public cloud object stores. This allows customers to build secure multi-cloud data lakes over open file formats. BigLake provides consistent, fine-grained security controls for Google Cloud and open-source query engines to interact with data. Today, we are excited to announce General Availability for BigLake, and a set of new capabilities to help you build a differentiated data platform.
“We are using GCP to build and extend one of the street’s largest risk systems. During several tests we have seen the great potential and scale of BigLake. It is one of the products that could support our cloud journey and drive application’s future efficiency” – Scott Condit, Director, Risk CTO Deutsche Bank.
Build a distributed data lake that spans across warehouses, object stores & clouds with BigLake
Customers can create BigLake tables on Google Cloud Storage (GCS), Amazon S3 and ADLS Gen 2 over supported open file formats, such as Parquet, ORC and Avro. BigLake tables are a new type of external table that can be managed similar to data warehouse tables. Administrators do not need to grant end users access to files in object stores, but instead manage access at a table, row or a column level. These tables can be created from a query engine of your choice, such as BigQuery or open-source engines using the BigLake connector. Once these tables are created, BigLake and BigQuery tables can be centrally discovered in the data catalog and managed at scale using Dataplex.
BigLake extends the BigQuery storage API to object stores to help you build a multi-compute architecture. BigLake connectors are built on the BigQuery storage API and enable Google Cloud DataFlow and open-source query engines (such as Spark, Trino, Presto, Hive) to query BigLake tables by enforcing security. This eliminates the need to move the data to a query engine specific use case and security only needs to be configured at one place and is enforced everywhere.
“We are using GCP to design datalake solutions for our customers and transform their digital strategy to create a data-driven enterprise. Biglake has been critical for our customers to quickly realize the value of analytical solutions by reducing the need to build ETL pipelines and cutting-down time-to-market. The performance & governance features of BigLake enabled a variety of data lake use cases for our customers.” – Sureet Bhurat, Founding Board member – Synapse LLC
BigLake unlocks new use cases using Google Cloud and OSS Query engines
During the preview, we saw a large number of customers use BigLake in various ways. Some of the top use cases include:
Building secure and governed data lakes for open-source workloads – Workloads migrating from Hadoop, Spark first customers, or those using Presto/Trino, can now use BigLake to build secure, governed and performant data lakes on GCS. BigLake tables on GCS provide fine-grained security, table management (vs giving access to files), better query performance and integrated governance with Dataplex. These characteristics are accessible across multiple OSS query engines when using the BigLake connectors.
“To support our data driven organization, Wizard needs a data lake solution that leverages open file formats and can grow to meet our needs. BigLake allows us to build and query on open file formats, scales to meet our needs, and accelerates our insight discovery. We look forward to expanding our use cases with future BigLake features” – Rich Archer, Senior Data Engineer – Wizard
Eliminate or reduce data duplication across data warehouses and lakes – Customers who use GCS, and BigQuery managed storage had to previously create two copies of data to support users using BigQuery and OSS engines. BigLake makes the GCS tables more consistent with BigQuery tables, reducing the need to duplicate data. Instead, customers can now keep a single copy of data split across BigQuery storage and GCS, and data can be accessed by BigQuery or OSS engines in either places in a consistent, secure manner.
Fine-grained security for multi-cloud use cases – BigQuery Omni customers can now use BigLake tables on Amazon S3, and ADLS Gen 2 to configure fine grained security access control, and take advantage of localized data processing, and cross cloud transfer capabilities to do multi-cloud analytics. Tables created on other clouds are centrally discoverable on Data catalog for ease of management & governance
Interoperability between analytics and data science workloads – Data science workloads, using either Spark or Vertex AI notebooks can now directly access data in BigQuery or GCS through the API connector, enforcing security & eliminating the need to import data for training models. For BigQuery customers, these models can be imported back into BigQuery ML to produce inferences.
Build a differentiated data platform with new BigLake capabilities
We are also excited to announce new capabilities as part of this General Availability launch. These include:
- Analytics Hub support: Customers can now share BigLake tables on GCS with partners, vendors or suppliers as linked data sets. Consumers can access this data in place through the preferred query engine of their choice (BigQuery, Spark, Presto, Trino, Tensorflow).
- BigLake tables is now the default table type BigQuery Omni, and has been upgraded from the previous default of external tables.
- BigQuery ML support: BigQuery customers can now train their models on GCS BigLake tables using BigQuery ML, without needing to import data, and accessing the data in accordance to the access policies on the table.
- Performance acceleration (preview): Queries for GCS BigLake tables can now be accelerated using the underlying BigQuery infrastructure. If you would like to use this feature please get in touch with your account team or fill out this form.
- Cloud Data Loss Prevention (DLP) profiling support (coming soon): Cloud DLP can soon scan BigLake tables to identify and protect sensitive data at scale. If you would like to use this feature please get in touch with your account team.
- Data masking and audit logging (Coming soon): BigLake tables now support dynamic data masking, enabling you to mask sensitive data elements to meet compliance needs. End user query requests to GCS for BigLake tables are now audit logged and are available to query via logs.
Next steps
Refer to BigLake documentation to learn more, or get started with this quick start tutorial. If you are already using external tables today, consider upgrading them to BigLake tables to take advantage of above mentioned new features. For more information, reach out to the Google cloud account team to see how BigLake can add value to your data platform.
Report on API-led Digital Transformations in 2020 and the Future
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In 2020, many businesses across industries turned their focus and investments towards digital strategies. APIs being an integral part of every organization’s digital disruption, will grow in relevance throughout 2021. Read the report to gain more insights on driving API-led digital transformations and in-depth analysis of Google Cloud’s Apigee API Management Platform usage data, case studies and third-party surveys conducted with tech leaders.
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