Top trends in data analytics from customer stories | Google Cloud Blog

In addition to smart check hold modelings, Keybank has re-engineered how they conduct attrition modeling, next best offers/product recommendations, and credit risk predictions using Google Cloud’s intelligent data cloud platform. Now, they are eyeing even more new innovation, particularly around how to use data to drive customer satisfaction and differentiate their services from their competitors. .

For more insights, watch Keybank’s episode on Data Journeys. 

Lesson 2: Customers are passionate about applying Google’s technology, from predictive analytics to AI and automation, to ‘data for good’ initiatives.

TELUS is one of Canada’s largest telecommunications companies with over 9.5 million subscribers. The powerhouse manages geolocated data generated by talk and text signals, networks, and cellular towers across the country. For some perspective on the sheer amount of data they handle, TELUS analyzed over 1.2 petabytes of data last year and are expecting that number to grow more each year. 

In March of 2020 it became clear that COVID-19 was more than an outbreak and growing to be a global pandemic, and TELUS faced a choice to carry on business as usual or to serve their community at a larger scale. With Google Cloud by their side to support them, the choice was a no brainer.

TELUS realized they could leverage their data residing within Google Cloud’s data cloud in a privacy-preserving manner to launch a data for good initiative and support all Canadians during a time of need. Within a matter of just 3 weeks using tools like BigQuery and Data Studio, TELUS launched a new platform that empowered the Canadian government to make better strategic decisions about how to combat COVID within its borders – all while keeping individual subscribers’ data private.

For their efforts, TELUS earned a HPE-IAPP Privacy Innovation Award and helped the government contain and minimize the spread of the virus.

After speaking with Michael Ames, Senior Director of Healthcare and Life Science at SADA, I realized their company was similarly focused on using data analytics technology for community good. SADA is a Google Cloud Premier Partner that offers consultation and implementation services. Ames’ day-to-day involves helping hospitals and healthcare providers migrate their data to the cloud. 

Hospitals and healthcare systems around the United States undoubtedly handle massive amounts of data from symptom records to patient history to insurance and payment records, and more. SADA realized that increasing the rate that the right treatment would be matched with the right person during their first visit would help hospitals run their business better, increase patient satisfaction and health, save both parties time and money, and therefore maximize profits that hospitals could reinvest in care for their community. 

But, after conducting a study with the journal Nature taking the top ten biggest drugs by revenue and analyzing how they affected patients to determine whether they achieved their intended purpose, Ames knew matching the right drug with the right patient was a major issue. 

Once SADA used data to create predictive models within Google’s intelligent data cloud stack, they were able to help doctors prescribe medications that better matched individual patient needs and health profiles, providing far more personalized medicine. 

Looking forward, SADA is excited to use a data-driven approach to improve other aspects of health care. “Take that idea of prescribing drugs and expand that to physical therapy treatments, behavioral therapy treatments, decisions we make about where and how people should live, whether we should build a park in a certain neighborhood, how the air quality is affecting health, and we start to get a sense of the need to bring data together in a way that will be… much more powerful in treating the health of people” Ames said.

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