Virtual Executive Briefing

Proposition Differeniator

Data-Driven Enterprises are aiming towards a free and open market for the data generated by and “underneath” those microservices that shape the data. When engineering a data-driven enterprise, different teams can access the data, evolve data products and features, compete, and even fade away and move to other things without data loss or sprawl. Data scientists, developers, and product owners can find and share the microservices that work best for them, while also accessing their data underneath. This is signified by concepts like DataOps, data engineering, and “database as a platform” that we hear data-driven enterprises and their leaders use with enthusiasm. It’s an exciting vision!

Why do we Win/Lose?

Technology is not a strategy, but making the most of the right technology makes a strong strategy successful. Here are the three ways how data-driven enterprises win.

First: Commit executive attention. Companies with the highest levels of data scalability, data portability, and AI-ready infrastructure are 4X more likely to have both a data strategy and a chief data officer.

Second: You must ask the right questions to align on a big impact on the customer experience and by extension your business. Your benchmark: companies with three consecutive years of double-digit revenue growth were 3X more likely to attribute at least 20% of it to data and analytics [McKinsey & Company] 

Finally: You must ship code to impact customer experience. We’ll share the elements of the stack and architectural patterns today’s leaders are using to do that.

Key Problems we Fix

Like Kubernetes, microservices are becoming an industry standard. They are also necessary and smart for the data-driven enterprise–but there’s a next step in architectural thinking that needs to happen to differentiate and lead.

Microservices are great for building things fast, iterating rapidly to discover what users want, and learning how to support an SLO. But two problems emerge from giving teams choice for the sake of speed: service dependencies and data sprawl.

The former kills developer velocity by damaging SLO performance, making troubleshooting a nightmare. We solved for service dependencies with a service mesh and operational graphs.

We can now allow our “two-pizza teams” choice about the implementation of the microservice because they can effectively commit to an API contract that everyone can monitor, diagnose when needed–and count on for an SLO.

Must build toward a similar approach to data, because data sprawl kills developer velocity by making data features and by extension products complex to build and maintain.

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Case Studies from our Clients

T-Mobile’s CIO and Chief Product Officer Cody Sanford describes his job as “to ensure we can create meaningful customer experience-obsessed products at the speed of our Un-carrier mission.” Their DataStax Enterprise and Apache Cassandra implementations have unlocked faster, more seamless customer interactions, and, in his words, “DataStax has been a big part of that.” 

An iconic American media company feeding a vast and varied audience, Condé Nast realized it needed a powerful cloud database to support a subscription-building initiative to improve online engagement and content recommendations. With DataStax Enterprise, Condé Nast is able to leverage the insights from multi-variate testing to increase clickthrough rates of 30 percent. 

ACI Worldwide, a payment systems software leader and pioneer, needed to up its database power and flexibility to be able to handle a massive increase both in global transactions and in global, transaction-related fraud. The Datastax Enterprise environment is a horizontally scalable data environment, there is zero downtime while we are scaling up or scaling back, a key capability for ACI because of how data ebbs and flows through their services.

With SINC being unable to host our local and regional events to support our IT community, we will be arranging individual Executive Briefings with DataStax. These 30-minute calls will allow us to share in the value of discussion and exchange impactful thought processes during current community restrictions and social distancing advisements.

Following the discussion with DataStax, SINC will provide you with your choice of either a voucher for a family meal at a local business impacted by the current restrictions, an Amazon gift card, or a donation to the charity of your choice.