Thank you, thank you, thank you! We want to start off this month’s post with an extreme sense of gratitude for the work our customers and partners are doing to innovate with Google Cloud’s Smart Analytics Platform. Your success and enthusiasm was felt in many ways this past month. BigQuery Omni was shortlisted by CRN asone of the 10 hottest Google Cloud Tools to watch in 2021 and Google BigQuery was named aLeader in The Forrester Wave™: Cloud Data Warehouse, Q1 2021 report.
We were also thrilled to see Forrester give BigQuery a score of 5 out of 5 across 19 different criteria, including Data Lake Integration, Data Ingestion, High Availability, Performance, and ML/Data Science features. We hope you’ll share this free report with your teams and colleagues!
If you can’t wait for May, we suggest joining us this week to learn about Rackspace’s data modernization journey at the company’s Strategies Series event. Juan Riojas, the firm’s Chief Data Officer, will explain how Rackspace leveraged Google Cloud solutions to improve customer experience, reduce churn, and save $1.2 million by consolidating 74 operational data sources, four data warehouses, one data lake, and 12 years of on-premises history.
Leaders come in all sizes
In last month’s data analytics post, you read about Verizon Media’s journey and how they picked BigQuery for scale, performance and cost. In March, we shared how companies like Veolia, Vodafone and PwC innovate with data using Google Cloud’s Smart Analytics Platform.
We’re delighted to see companies of all sizes benefit from the value of our platform. Take a look at the story of leading decentralized video streaming platform Theta Labs, for instance, which required scalable, reliable, and secure infrastructure to reach more users and avoid hitting VM caps that previously caused issues. They turned to Google Cloud’s databases and analytics products, such as BigQuery, Dataflow, Pub/Sub and Firestore, saving hours or even days of engineering time. And they experienced a return on investment almost immediately—their migration took less than six months to complete.
Another great example is Keap, a technology and services company that helps small businesses accelerate growth with an all-in-one customer relationship management (CRM), sales, and marketing automation solution. Rajesh Bhatia, the company’s Chief Technology Officer, wrote a great post about how moving to Google Cloud helped Keap overcome scalability issues and bring always-on, mission-critical services to its users while freeing up time and resources. The company assessed other public cloud providers but Google Cloud stood out for going above and beyond other providers in helping us identify our path to successful migration.
In addition to providing great details behind Keap’s technological modernization, Rajesh also gives us a peek into the cultural benefits experienced as part of its transformation. For instance, you’ll learn how their data team transformed from a cost center into a team focused on revenue-generating opportunities by providing embedded analytics to customers.
Keap helps small business customers think big and we are proud to be part of their journey!
Leaders come in all industries
We’re also proud to observe the rapid pace at which customers operate their digital transformation across many industries. For example, the telecommunication industry is experiencing ongoing, massive transformation. According to a new study by Analysys Mason, telecommunications information is growing at 20% CAGR, and network data traffic is expected to reach 13 zettabytes by 2025. During March, we learned how our partnership with Amdocs is helping telecommunications leaders use analytics and AI to make decisions in real time, whether to find anomalies, understand unseen correlations, or predict future trends.
We see the same thing happening in financial services, online business, and retailers, where businesses are built on reliable and trusted relationships. Quantiphi, an award-winning Google Cloud Premier Partner, has recognized the importance of helping their clients build and maintain real-time prediction models at scale to address business challenges like credit card fraud. Global losses from payment fraud have tripled in the past 10 years, and according to Merchant Savvy, payment fraud is expected to continue increasing with a projected cost of $40.62 billion in 2027—25% higher than in 2020.
That’s why we developed a smart analytics design pattern, together with Quantiphi, enabling companies to build a scalable real-time fraud detection solution in just one hour using serverless, no-ops products from Google Cloud. The solution leverages Dataflow’s real-time data processing capabilities to store transactions in Firestore, our flexible, scalable and serverless NoSQL cloud database. It also combines with BigQuery, our extensible and adaptable data warehouse, allowing you to leverage BigQuery ML’s built-in machine learning capabilities and the AI Platform’s real-time inference.
These resources are available to you and your team at no cost to set up fraud notifications. You can watch the tutorial below to learn how to build the solution as well as dashboards to monitor the performance of the entire fraud detection pipeline.