Cloud is the modern technology foundation for most of today’s digitally driven financial services industry. Regardless of size, companies across all sectors, from banking to brokerages, are investing in new cloud-based solutions for modern business applications, transaction platforms, and analytics to improve customer experience, simplify IT, and reduce ongoing operational costs. According to Forbes, 67%... more
The average lifespan of an S&P500 company is now less than 20 years – down from 60 years in the 1950s. If large organizations are going to survive, they need to radically rethink strategies and business models. Grocery stores are launching banks. E-commerce businesses are building brick and mortar locations. Amid all the disruption, the... more
The holy grail for many companies is delivering a great customer experience. Customers that receive a great experience are more likely to be repeat customers. In a subscription economy (which we’re now in), they’re more likely to keep subscribing. So how are companies scrambling to build and improve that experience? They have realized that they... more
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
Today’s business leaders—which includes chief data officers, line of business owners, and other enterprise data stewards—are being asked to uncover more value from enterprise data. Of course, the most valuable insights often come from using data that is valuable in itself, providing a target for abuses internally and potential exfiltration to bad actors, if not governed appropriately. Keeping data safe... more
In my last blog, I wrote about the four archetypes of data leadership identified in IDC’s state of the chief data officer (CDO) survey [1] commissioned by Informatica. In this blog, I will dive deeper into the challenges and opportunities for each of those archetypes (Governance Gurus, Operational Optimizers, Analytics Champions, and Digital Innovators). For... more
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
As I enter the ninth month of hosting the Data Empowerment Experts Series of webinars, it’s hard not to look back and think through all of the insights that have already been shared by our experts. The learning process and sharing of best practices was, of course, the original intent of the series. I wanted... more
Nobody ever said data strategy is easy. Data strategy itself encompasses data governance, data management, and internal alignment with enterprise business goals. That doesn’t mean that there haven’t been many efforts to summarize ‘the top five steps to a data strategy’ or ‘data strategy made easy’. Even the latest AI-assisted software tools, although they help tremendously in terms of centralizing definitions, visualizing data lineage, and standardizing processes, don’t help with the ‘soft’ pieces... more
For alignment, collaboration is king. It’s the lynchpin to success with data governance. To scale properly, and to ensure that silos are broken (or better yet, never happen to begin with), business and IT professionals need to come together when operationalizing enterprise data governance programs. When the charter of that program is to ensure that data can and... more