Partner Spotlight: Snowflake – RM Dayton Analytics

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Seizing the day

When it comes to digital transformation, the future is now.
Artificial intelligence and other digital innovations are reshaping how we work with each other and the technology that we created. Knowledge workers and employers now require the necessary digital skills to seize the day on the new opportunities that this technology has brought forth.

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Reshaping how we work

This disruptive technology is reshaping how we go to work in a very big way. Collectively, we are all in the most transformative age in the existence of humans, and entire industries are being disrupted. Companies in every industry are using digital AI and advanced analytics to unleash new sources of economic value and achieve improvements in flexibility, speed and business outcomes. Automation and artificial intelligence are revolutionizing business models.

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What’s next?

Although there is no crystal ball on the the future of work, a question for us all is, will cognitive technologies and AI accelerate careers or set them back? It’s not like it’s a big secret. Workers can witness the transformation happening before there very eyes, as cognitive technologies and intelligent automation are becoming more prevalent in the workplace. We recognize that cognitive automation allows more time for knowledge workers to be creative and focus on what's important, freeing up people from some of the more mundane work.

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Disruption = Opportunity

We were founded to address these questions in 2014, as we saw this disruption as an opportunity. So, we disrupted our own thinking and the traditional approach to work and began viewing the various ways we went to work all as one big thing in aligning tomorrow's workforce. We recognize that the likely effects of automation are still up in the air to some degree. While there are some jobs which are at risk of being automated by the digital workforce, the upside is the enormous potential for the enhanced lifestyle quality these changes can bring – and as a natural consequence of that, the new opportunities for analytics knowledge workers.

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Disruptor or the disrupted?

Change is constant, that’s always a given, but exponentially so it seems in this transformative age. Businesses are mostly free to make choices. They can adopt and embrace the changing, perhaps become a disruptor themselves, or they can get left behind, only being glanced upon casually from time-to-time in someone else’s’ rear-view mirror. Likewise, so do people. Individual knowledge workers have a parallel choice as well. Will you be the disruptor or the disrupted?

The Snowflake Cloud Data Platform is a single, global unified system connecting organizations and data providers. Comprised of two elements, the Snowflake platform and content, every Snowflake customer has instant access to the Data Cloud simply by using Snowflake’s platform. Since we were founded in 2014, the same year as Snowflake, our sole focus has been business analytics and digital transformation.

As we focus only on digital transformation, we’ve had a front row seat over this period to the technology stacks used by data engineers, data scientists, machine learning engineers and data architects to solve the most pressing business challenges.

We view the Snowflake Cloud Data Platform as different from anything in the past. It is, in our opinion, revolutionary.

These are not just nice words. We were so thoroughly convinced of Snowflake’s propensity to provide the better business outcomes in a better way, we put skin in the game.

We’re ‘all-in’ and 100% dedicated to providing Snowflake solutions.

Identify & Expand

Identify opportunities for advanced analytics improvements, expand the data ecosystems available both internally and externally, and enable new insights ability, leveraging high-value technologies. Business Analytics can deliver disruptive results without disruption with the Snowflake Cloud Data Platform. Fused internal and external data feeds the fire for innovation. Focus on actionable archetypes that can drive short term improvement with micro-demand forecasting, while concurrently identifying emerging and waning trends with the Data Cloud. Enterprise AI is changing how business value is unleashed at an unprecedented pace. It is transforming core processes and business models in every industry. AI for the enterprise is changing the rules by discovering perishable opportunities hidden in diverse data. The quantifiable success of business analytics relates directly to aligning it with Enterprise AI – an intersection between people, the ontology and the business outcomes.

Build & Integrate

Knowledge workers select the best models and approaches, ranging from modeling algorithms to advanced machine learning, applying industry knowledge. With Snowflake, there is lowered integration requirement for positive business outcomes, as organizations can mobilize data with near-unlimited scale, concurrency, and performance via the global Data Cloud network. Leveraging data where it resides, stunning use case yield optimization can be achieved. Rapid, automated actions are ultimately federated to knowledge workers, where data can be shared in a highly governed way, internally or externally, without moving or copying the data. Micro-segmentation can create a holistic understanding of customer drivers and preferences – at times for which experience opportunities are perishable. The symbioses between data science and artificial intelligence (AI) demands technology and knowledge workers aligned with the way enterprises need to understand their customers.

Create & Optimize

Data engineers, data scientists, software engineers and consultants create the data architecture and governance to capture the potential of advanced analytics. We'll help prioritize use cases that have near-term impact on the most important current bottom line levers, such as improving customer loyalty, driving operational efficiency, optimizing resource allocation or increasing purchasing frequency as a few commonplace examples. Business analytics and enterprise AI alignment naturally narrows the gap the between your current and desired future state of advanced analytics. But equally as important, connecting the dots on a pragmatic yet powerful business model lets the tech do its magic with breathtaking results. These use cases are varied across industries but share a common trait of fused internal and external data, providing cross-enterprise yield optimization with a rapid, automated action. Goal-driven yield is guided by human creative, the brain-power judgement of people.