Tag "Cloud Analytics"

The Changing Role of Data & the Chief Data Officer

Since the COVID-19 pandemic hit, we’ve seen organizations around the globe accelerate their digital transformations. Companies are engaging with their customers in a different way in the new digital world, building new operating models to bring new products and services to market, and even thinking of new business models to execute their new ideas. All... more

Fueling the Engine of Higher Education With Trusted Data

In the wake of the COVID-19 pandemic, universities need good data now more than ever. In my previous blog, I discussed the essential role that data-driven contact tracing plays in allowing post-secondary institutions to reopen safely. Being able to trust the data in the student information system, human resources, and finance to get a fully... more

Driving Resilience and Digital Agility by Modernizing to Azure with Informatica

Our way of doing business will never be the same again. The pandemic has become a catalyst for many companies to accelerate their digital transformation. Enterprises, in our new world, require the digital agility to quickly respond to and recover from dynamic market changes such as 100% digital engagement and remote workforces. They are looking... more

Build Your Healthcare Cloud Data Lake With a Data Governance Foundation

We’ve all heard the cautionary tale across healthcare (and beyond) that poorly deployed cloud data lakes run the risk of becoming data swamps, where untrusted volumes of data deliver limited-to-no value or insights to the organization. This is not a myth. While most healthcare organizations, providers, and payers have embraced the need to deliver real-time,... more

Higher Education Needs Data-Driven Contact Tracing to Reopen

The COVID-19 pandemic has disrupted the lives of higher education students, faculty, and staff that depend upon these colleges and universities. While many of these schools have demonstrated resilience and innovation by embracing distance learning, guidance, and support for their students, the financial viability of these schools will remain at risk if they can’t clear... more

MLOps: Operationalize Your Machine Learning Models

Realize the Benefits of AI with the Right Framework In the current economic environment, organizations are focused on KPIs and metrics that matter today and in the near term. They are adopting analytics in the cloud, many by building cloud lakehouses, which blend the best of both worlds in cloud data warehouses and data lakes,... more

Analytics Modernization on Azure: One Size Does Not Fit All

Discover Four Customer Journeys to a Cloud Data Warehouse or Data Lake on Azure A modern analytics strategy built on a strong data foundation is the key to success for modern enterprise businesses. But how do you achieve that foundation? A recent Harvard Business Review survey of global executives found that 80 percent of respondents say their organizations are struggling... more

Informatica and Snowflake: Successful Digital Transformation at Enterprise Scale

More and more aspects of life and work are becoming digitized. The world has awakened to the value of the massive amounts of data that this new reality generates. Data is arguably the most critical asset across an organization—and companies that leverage it to increase revenue, reduce costs, and gain competitive advantage are the best... more

Building Your Cloud Lakehouse – Do You Have a Solid Data Management Foundation?

What do you think about the latest hot topic – cloud lakehouses? A lakehouse conjures up images in my mind of peace and tranquility – a beautiful house next to a stunning lake. In the world of technology, cloud lakehouses hold a similar promise of utopia. However, without a solid foundation of cloud-native data management,... more

5 Keys to Operationalizing Data Analytics in the Cloud

Enterprises across the globe are analyzing large datasets to uncover patterns and valuable insights, which in turn inform their decisions. These business insights and decisions result in several benefits for enterprises such as: lower costs, improved operational efficiency, new revenue streams, fraud detection, increased customer engagement and satisfaction, competitive advantage, and more. Analytics at Cloud... more