Mrs. T’s Pierogies Moves SAP Systems to Google Cloud for Faster Analytics Capabilities for its SAP Data

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Pierogies might just be the ultimate comfort food. But when Mrs. T’s Pierogies — the leading manufacturer of frozen pierogies in the US — learned it needed to transition its existing on-premises SAP ECC to S/4HANA, the company sought a little comfort for itself.
Founded in 1952, Mrs. T’s Pierogies now produces more than 650 million pierogies a year. Moving that many pierogies requires a powerful ERP system — and an equally powerful IT infrastructure on which to run it. Mrs. T’s realized that the SAP-mandated transition of its ERP solution to SAP S/4HANA was an opportunity to move its SAP systems to Google Cloud and gain real-time analytics capabilities for faster sales forecasting, more effective trade promotions, and more sophisticated planning.
From necessity to opportunity
Mrs. T’s successfully ran its SAP ECC solution on its own on-premises servers for years. But after SAP decided to sunset the product, Mrs. T’s realized that it faced multiple challenges, including:
- Migrating its SAP ECC 6.0 system from an on-premises leagcy OS to a cloud-based Linux environment
- Moving data from its SAP DB2 database to HANA
- Transitioning from ECC to SAP S/4HANA
That complex transition needed to take place with little or no downtime, since nearly all of the company’s invoices, warehouse movements, and transfer orders used the Electronic Data Interchange (EDI) protocol. Missing even a few hours of EDI transactions would put significant revenue at stake. Adding to the challenge: Some Mrs. T’s customers would not accept an invoice past five days, which left little room for error. Mrs. T’s chose Rackspace Technology, a longtime Google Cloud partner, to oversee the move.
Mrs. T’s could have chosen to run S/4HANA on its legacy hardware but saw migration to Google Cloud as an opportunity to improve key aspects of its business, in particular data analytics. Historically, sales planning and forecasting involved time-consuming manual processes. But the speed, availability, and scalability of Google Cloud meant that Mrs. T’s could take advantage of S/4HANA’s embedded analytics capabilities. Migrating could also open the door to leveraging Google Cloud’s native integration of SAP data to power Google tools such as BigQuery, Google Cloud AI Building Blocks, and more.
The move to Google Cloud also gave Mrs. T’s an opportunity to update its disaster recovery process. Previously, the company backed up to tape. So, if its SAP systems went down, a member of the IT department would have to drive the most recent tape backups an hour to its cold site, where the disaster recovery partner would load the SAP backup tape, boot the system up, switch network connections to that site, and cross their fingers. Not only would downtime be significant, but restored data would be limited to the periodic tape backup.
“Everything just worked”
Once Mrs. T’s decided to migrate to Google Cloud, the company worked with Rackspace Technology to implement the system. The first phase focused on moving the SAP production environment from on-premises infrastructure to Google Cloud and updating its database to HANA, which took place over 12 weeks. The switchover occurred over a weekend and was all but invisible to users. “We came in on Monday and everything just worked,” recalls Timothy Coyle, Director of Information Systems & Technology. In a second four-month phase, the company transitioned from ECC to S/4.
The move to Google Cloud paid dividends immediately. Batch transactions occurred twice as fast and on-screen end-user transactions rendered instantly. The upgrade also gave the finance team access to embedded analytics and monitoring for the first time. With everything now in the cloud, disaster recovery could be dynamic and nearly instantaneous, with a worst-case scenario of just 5 to 10 minutes of downtime.
“Mrs. T’s needed a skilled and experienced partner that could move its SAP environment to Google Cloud with no negative impacts to its business. We knew this migration was a key initiative in Mrs. T’s digital transformation journey,” says Chuck Britton, Google Partner Development Manager at Rackspace. “We also knew that running SAP on Google Cloud would give the business the fast and flexible analytical capabilities it needed for its SAP data.”
From ideation to production, Mrs. T’s migrated from its legacy on-premises infrastructure to a modern SAP S/4HANA solution on Google Cloud in only seven months, with minimal downtime and zero disruptions. Now that the migration is complete, Mrs. T’s has a flexible, highly scalable environment to run the SAP applications and data that fuel the business. Says Coyle, “Our strategic intent for IT is to make processes simpler, people more productive, and infrastructure more secure. This project fits right square in the middle of that strategic philosophy.”
Learn more about ways in which Google Cloud can transform your SAP experience and about Rackspace Google Cloud solutions for SAP customers.
What You Can Learn from ‘Up or Out’ Framework for Cloud Adoption

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In times of significant disruption, organizations are faced with three choices: Retrench within legacy solutions, pause and do nothing while waiting for more data or different circumstances, or press ahead, potentially even accelerating to realize the desired outcome. In such an environment, it is critical to ensure you’re delivering the greatest possible impact to the business.
In Google Cloud’s Office of the CTO, or OCTO, we have the privilege of co-innovating with customers to explore what’s possible and how we can re-imagine and solve their most strategic challenges. These collaborative innovation engagements are often core to critical transformational projects, which often include the rehosting, evolution, and at times re-architecture of existing business solutions.
We are happy to offer this brand new white paper, where we have distilled the conversations we’ve had with CIOs, CTOs, and their technical staff into several frameworks that can help cut through the hype and the technical complexity, to help devise the strategy that empowers both the business and IT. We called one such framework “up or out.” (And we don’t mean some consulting firm’s hard-nosed career philosophy.)
One model that we found can help enterprises chart their cloud adoption journey delineates cloud migration along two axes—up and out, and we’ll cover this in much greater detail in the white paper itself.

As you can see, there isn’t a single path to the cloud—not for individual enterprises and not even for individual applications. The up or out framework can help an IT organization and its leadership characterize how they can best benefit from migrating their services or workloads. The framework acts as a general pattern that highlights the continuum of approaches to explore, and you can learn all about it by downloading this detailed white paper.
Or, if you’re really ready to jump start your migration today, you can take advantage of our current offer by signing up for a free discovery and assessment.
Held Back by Database Scalability, This Financial Services Company Switches to Google Cloud and Cloud Spanner

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Azimut Group operates an international network of companies handling investment and asset management, mutual funds, hedge funds, and insurance. Founded in Milan, Italy in 1988, Azimut Group today has branches in fifteen countries, including Brazil, China, and the USA.
“We have subsidiaries and manage funds all over the world,” explains Simone Bertolotti, IT Manager at Azimut Holding S.p.a. “That means that any technology that we put in place has to cover needs from many different countries.”
“When complicated analysis has to be executed, we have to increase our table space in a couple of minutes so that the AI can drill down into the data and deliver the information we need.”
—Simone Bertolotti, IT Manager, Azimut Holding S.p.a.
Azimut manages its funds with investment advisors who use information sourced from Bloomberg, Reuters and others. “They use a huge amount of data,” says Simone. “They work with spreadsheets, algorithms, formulae and they analyse data in minutes.” In finance, every second is crucial, which is why Azimut decided to develop a risk management dashboard that can process information even more quickly, then distribute it worldwide.
“When an advisor manages data, that data is used to make immediate decisions on funds, capital movements or whether to sell stock,” says Simone. “They have to be ready to make recommendations for any amount of data that comes to them. For our dashboard, that means that when additional information arrives or complicated analysis has to be executed, we have to increase our table space in a couple of minutes so that the AI can drill down into the data and deliver the information we need.”
Generating insights at speed
Investors and investment managers make decisions based on the most accurate, up-to-date information possible. For Azimut Group, information sourced through financial data vendors such as Bloomberg and Reuters provided only part of the data that the group required.
“We looked to collect information from a range of different providers,” explains Simone, “then analyse it to develop a predictive algorithm that could work faster than an advisor stationed at the terminal. We set ourselves the challenge to try to manipulate that data to add new insights into our matrix, so that every one of our branches across the world can see risk information about the funds in real-time.”
“We compared Google Cloud Platform’s performance with our previous cloud provider, and saw huge benefits of switching to Google. For me, the key performance issue is scaling. With Google Cloud Platform I know that I can increase and decrease my infrastructure quickly, when I need it.
—Simone Bertolotti, IT Manager, Azimut Holding S.p.a.
The first cloud provider Azimut used to build its system struggled to scale quickly to meet different kinds of data challenges. “If we wanted to add more cores, that was fine,” says Simone. “But the previous cloud provider made it complicated to raise the amount of space in a database infrastructure and scale up to demand. Scaling up for more in-depth analysis would take a day, and our need was immediate.”
That’s why Azimut switched one year ago to Google Cloud Platform to run the 150 VMs on its risk analysis platform. “We compared Google Cloud Platform’s performance with our previous cloud provider, and saw huge benefits of switching to Google. For me, the key performance issue is scaling,” says Simone. “With Google Cloud Platform I know that I can increase and decrease my infrastructure quickly, when I need it. Instead of waiting a day to scale up infrastructure, we can request and add space to our database in a couple of minutes.”
The infrastructure of Azimut’s solution handles around 800TB of data per month, and Google’s global network of servers and high-speed connections ensure that it gets to where it’s most needed by the most direct route. Impressed by the speed, security and availability of Google Cloud Platform, Azimut has moved its intranet on to Google Cloud Platform, too, eliminating the need for staff to login with VPNs.
“Instead of waiting a day to scale up infrastructure, we can request and add space to our database in a couple of minutes.”
—Simone Bertolotti, IT Manager, Azimut Holding S.p.a.
Driving ahead with Noovle
For Azimut, migrating the risk management dashboard is the latest of many Google product collaborations with cloud consultancy Noovle. “Everything started five years ago,” says Simone, “when Noovle assisted us in migrating to Gmail from our on-premise email solution. From G Suite to Google Cloud Platform, we’ve had a great relationship. Noovle provides consultancy services, support for mobility, and external advisors who work on our premises, such as when they trained us how to broadcast our meetings on Google Hangouts. As an independent company, we know we can trust them for transparent advice. All they care about is the best way to get a job done and to help us reach our goals.”
New app, new customers
In a business case comparison, Google Cloud Platform cost Azimut 35% less to run than the previous cloud provider. Now the group is building a major new mobile application on Google App Engine to be released in 2018.
“The new mobile application will allow customers to trade directly, without human advisors, by proposing different investment solutions depending on targets the customers set,” says Simone. “So if a customer aims to make money with investments, they enter their relevant personal information and we carry out the necessary regulatory checks and suggest what they could buy. The entire project will be based on Google Cloud Platform, so customers can control their investments through the app while we manage the fund, using Google Cloud Spanner on the backend.”
Digital Maturity in Higher Ed Tied to Improvements in Students’ Journey: Study

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Why Higher Ed Needs to Go All-in on Digital
In the wake of the COVID-19 pandemic, the majority of students within the 18-24-year-old demographic now expect hybrid learning environments–even once we are beyond the pandemic. And a vast number of adult learners are seeking options that accommodate their work and family lives now that it’s clear that effective learning can indeed occur virtually. Implementing cloud technologies and achieving digital maturity within higher education will enable institutions to be innovative and responsive to evolving student preferences, while being prepared for future disruptions.

The state of digital maturity
In February and March 2021, Boston Consulting Group (BCG), in partnership with Google, surveyed U.S. higher education leaders on their views of the state of digital maturity in the higher education sector. This survey found that institutional and technology leaders strongly agreed that moving legacy IT systems to the cloud, centralizing and integrating data, and increasing the use of advanced analytics is necessary to make a successful digital transformation, and ultimately achieve digital maturity.
But what is digital maturity? Digital maturity—a measure of an organization’s ability to create value through digital delivery—focuses on three areas of technological advancement that drive large-scale innovation:
- Using cloud infrastructure
- Expanding access to data
- Using that data to improve processes through advanced analytics, such as Artificial Intelligence and Machine Learning (AI/ML)
Although university leaders agree on prioritizing digital maturity, more than 55% said they considered their schools to be “digital performers” or “digital leaders.” However, only 25% of tech leaders at these universities stated that their schools regularly use data analytics. As with corporations and governments, higher education institutions face barriers to technological innovation, such as:
- Competing priorities to meet step-change goals and decentralized decision making
- Budget constraints
- Cultural resistance to change
- Tech staff skillset gaps
Still, leaders understand that the way to overcome institutional inertia is with a strong, goal-oriented vision of what is best for the institution overall. Although only a handful of schools have reached digital maturity as we define it, others can learn a great deal from their examples. Here are the top takeaways from higher education leaders who successfully transformed their institutions:
Digital solutions can improve the student journey in many ways

As digital capabilities hold the key to dealing effectively with declining enrollment and rising costs, higher ed leaders identified four goals that are critical to improving performance:
- Improve the student journey
- Increase operational efficiency
- Scale computing power in advanced research
- Innovate education delivery
The research found that technology investments can help enhance the student journey in the recruiting and retention of students, improving digital education delivery, government funding, and donations from alumni. Digital maturity can make institutions more agile and efficient in delivering education that aligns with the changing societal norms, evolving student preferences, and future disruptions. Survey participants shared that they plan to increase the use of the cloud by more than 50% over the next three years. By shifting legacy IT systems to the cloud, institutions can increase scalability, lower the cost of ownership, and improve operational agility, while offering a more secure, long-term data storage solution.
Cloud-native software-as-a-service (SaaS) solutions provide an excellent platform for centralizing data. However, institutions that attempt to “lift and shift” their legacy systems to the cloud may encounter challenges to achieving measurable improvements in data integration and cost reduction. Higher ed leaders must realize that centralizing data and transitioning to the cloud do not happen simultaneously.
Leaders who are able to articulate a strong vision and commitment will experience a more successful technology transformation. By linking their vision to specific needs, such as more effective recruiting, leaders will find their technology investments will have a more substantial return. University presidents should base their decisions about which systems to move, when, and how on desired performance outcomes.
Big visions become a reality with small steps. Small pilot projects are an excellent way to start the journey toward digital maturity. Small steps toward a significant transformation can reduce resistance to change, build positive momentum, and produce better student outcomes. Read the full report here. If you’d like to talk to a Google Cloud expert, get in touch.
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How L&T Financial Services Processes 95% of Motorcycle Loans in Less Than Two Minutes
L&T Financial Services is one of the largest lenders in India. India’s demonetization policy in recent years has led to a shift from cash transactions to digital payments. In 2016, the government withdrew 500 and 1000 rupee notes from circulation and encouraged a heavily cash-based population to deposit their canceled notes in banks. Financial institutions needed to pivot to a new way of doing business to stay competitive. L&T Financial Services modernized its IT infrastructure to keep up with changes and capture digital opportunities.
“Working capital is crucial to stimulate growth in rural communities. Our role as a lender is to provide access to funds. We don’t want to burden borrowers with the complexities of getting a loan. Towards this end, digitization is an important step,” says Dinanath Dubhashi, Managing Director and CEO at L&T Financial Services. “Google Cloud helps us streamline service delivery and identify the right customers. By offering the fastest processing time in the industry, we want to be the go-to lender for all customers.”
L&T Financial Services considered multiple cloud providers before choosing Google Cloud. According to Dinanath, Google Cloud understands both the need for businesses to move fast and the need for IT to modernize at different speeds. “We weren’t forced to abandon existing IT systems and migrate lock, stock, and barrel to Google Cloud on day one.”
L&T Financial Services engaged Google Cloud Professional Services to guide its digital transformation journey. The smooth migration from proof of concept to full-scale deployment on Google Cloud took a matter of months.
“Collaboration: a small idea with big opportunities. G Suite helps us connect remote branches with the head office, easily access shared files to submit and track approvals, and conduct face-to-face discussions to accelerate approval processes.”
—Dinanath Dubhashi, MD and CEO, L&T Financial Services
Digitizing the workforce with G Suite
The move to the cloud at L&T Financial Services started in 2017 when the company introduced G Suite to its 14,500 employees. The legacy email system was cumbersome to use, especially for frontline staff who need email access while they are on the road. Using Gmail, employees can connect with customers and co-workers from anywhere, on any device. Employees save time by scheduling meetings with Calendar, collaborating on Docs, and conducting video calls using Hangouts Meet.
Converting data into credit insights using BigQuery
Taking data intelligence one step further, L&T Financial Services adopts a responsible lending approach by applying algorithm-based data analytics to improve credit standards. Beyond traditional data such as credit score and credit payment history, the company also considers macro-economic indicators for risk audits. For example, a farmer’s ability to pay off the loan of his new tractor depends on a successful planting and harvest. So L&T Financial Services feeds long-term data into BigQuery and runs queries to predict loan defaults based on rainfall and crop yield.

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Protecting a global network against persistent and constantly evolving cyber threats is one of the most important challenges faced by Google Cloud. So, how does Google’s global network protects seven different global businesses, each with over 1 billion customers, including popular Google services such as Google Search, YouTube, Maps, and Gmail?
The answer is a multi-step process, which is constantly changing and evolving to stay one step ahead of the malicious hackers and attackers. For instance, it’s network communications protocols—the rules that enable communications between systems—change multiple times per second to make malicious intrusions much harder.
Data in Google Cloud is encrypted both in transit and at rest. Google’s network capacity far exceeds any traffic load it hosts to thwart and DDoS attack. In addition, it has numerous other products, tools, and processes at work to provide defense in depth.
Download this e-book to get a detailed overview of Google Cloud’s approach to security and privacy.
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