The Elite Few™

Curating a consortium of The Elite Few™ in business analytics, enterprise AI and digital transformation. Some of the planet's most admired brands have engaged RMDA for modern, thoughtful team building.

Take two minutes to give us the basics of what you need

What does it take to be considered one of the elite few? We align knowledge workers a bit differently than to that to which you may be accustomed. We make it our business to proactively keep tabs on the very top tier of analytic talent on a more personal, networked level. The ‘top guns’ are all we deal with … and we are laser-focused as a pure play digital transformation firm.

Let’s be clear. Our elite few will typically be a cut above. We don’t just sit back and wait for applicants to come to us. Proactive is the operative word, and proactive networking is the operative process.

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As we focus only on digital transformation, we constantly are expanding our connected network within the domains of this space.

Excellent communication and technical skills are table stakes for the folks that make the grade to even be considered for further vetting. That’s where we start.

It’s noteworthy that those assessing the skills here have technical degrees in engineering, computer science, etc., as well as folks with consulting experience and advanced degrees versus having non-technical people doing tech screenings.

We’re techies. We’re able to ascertain the depth of an individual’s real-world technical competence, passion, and integrity and whether knowledge workers can “walk the walk” and “talk the talk.”

We recognize that it is always a challenge to hire knowledge workers in the competitive technology industry. What we’ve realized, is that in many cases, it’s not always about finding the exact match skill set. It’s also to make sure that you hire a good person. Someone with integrity. Someone with a good moral compass. Someone who others would highly recommend, and other people like to work with.

Rapid innovation to connect in increasingly micro-segmented markets

February 29, 2020

Re-thinking the possibilities of what a digital supply chain can look like

February 29, 2020

Revolutionizing how money moves: leveraging AI and cognitive technologies

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 an enterprise AI 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 enterprise AI platform. 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. User-friendly tools are then integrated. Leveraging existing data where it sets today, along with select third-party data, stunning use case yield optimization can be achieved. Rapid, automated actions are ultimately federated to knowledge workers through existing systems. Micro-segmentation can create a holistic understanding of customer drivers, preferences and behaviors – at times for which experience opportunities are perishable. The symbioses between data science and artificial intelligence (AI) demands knowledge workers aligned with the way enterprises need to understand their customers - and with AI solutions that impact the bottom line. Adaptive optimization provides enterprise yield, an AI-enabled discipline, enabling stakeholders to identify perishable opportunities across a myriad of business use cases.

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.