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Human Capital

  • The world's top brands have hired RM Dayton to align top analytic talent.

  • RM Dayton - Top Gun Analytic Talent

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    Conference - Collaborate 19 -- Technology Forum


    Collaborate will be held in San Antonio, Texas from April 7th-11th 2019.  Let us know if you'll be heading out to San Antone,.  Schedule 30 minutes on the calendar below, and let's talk shop about where business analytics is today, where it's heading, and how that might impact your company initiatives and career.

     

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    Conference - The AI Summit 


    The AI Summit will be held in New York, NY from December 11th-12th, 2019.  We look forward to seeing you there.   Find 30 minutes on the below calendar, and we'll sync up in The City.

     

    Thank you!

  • Eliminate the Fluff

    I have been working in Business Analytics for about 20 years, and for a good part of that, focused on aligning teams of consultants for projects. A lot of thought goes into putting these teams together.  The most important attributes to consider are technology expertise and domain knowledge. 

    Consultant profiles span a myriad of technologies, so what someone looks like ‘on paper’ from a technology expertise perspective can be deceiving. Technical expertise can be the most difficult to assess from a customer's point of view.  You're buying into the fact that the consulting firm may have done this successfully in the past, though perhaps with a vastly different set of characters.   

    After three or more projects, one generally has enough domain expertise so they no longer have to fake it.  In the ‘full-service’ consulting model, juniors would be put on the team as billable consultants, learning both technical skills and domain knowledge on the client’s nickel.

    Before founding RMDA, I worked on a projects with an experts in EPM that involved Enterprise Performance Management (EPM), Business Intelligence (BI) and Business Analytics. Each resource billed around from between $150/hr at the low end to $225/hr+ on the upper end.  So in in just one month, for a team of just three resources, the client was billed around $100,000. 

    The Less is More Paradigm

    During the build of the project, it took effort to make sure the right hand know what the left hand was doing. Precious time and money at $200/hour could be spent, for example, on naming conventions. This overhead adds cost and risk to the project. 

    With a 'less is more' mindset, RMDA challenges this resource alignment method and dares to ask, "why not?'  Why not reduce the footprint related to business analytics to fewer, pinpointed resources?  

    The paradox is, you can leverage the underlying technology investment in the 'to be' state better, while retaining more of the enhanced, prized intellectual capital you wanted to attain in the first place.

    Combining an agile approach with experience in the business analytics domain as practitioner's, transformative results can be delivered without the layers.  

    RM Dayton knowledge worker engagements consist of fewer, but laser focused resources, without the fluff - an approach that has earned the honor of being one of The Silicon Review 50 Most Admired Companies of the Year. Because you don’t have four or five experts sitting around, when one or two pinpointed resources would do, you save time and money while reducing project risk. 

    We can do this, as RMDA is not focused on 'all' IT, but rather, is focused solely on Business Analytics, Big Data and Data Science.

    Robert Dayton

    October 20th, 2017

    © 2017 RM Dayton Analytics, Ltd. Co.

    Related article on CIO Review - Enhance Customer Engagement from the Inside Looking Out.

      

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    Appointment Request - Phone Chat with Dayton Analytics


    Thank you for scheduling time on your calendar.  Please request to schedule 20 minutes at one of the available times listed on the calendar below.  If something comes up, please use the confirmation email that you'll receive to reschedule.  

     

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    Regardless of the ‘how’ resources are hired, one thing is for certain: knowledge workers must represent the interests of the company – what RM Dayton calls an ‘inside looking out’ mindset.   With the a ‘less is more’ philosophy, we dare to ask, ‘why not?’ Have 20 resources on a project? Why not cut that to 10 or fewer, laser-focused, where you retain the prized intellectual capital?  

    A business leader at one of the best-known brands in travel and hospitality, remarked after a top gun resource started, ‘he’s really good, but he knows about many things we are not currently doing.’  

    Bingo.  Over one year later, the resource is indispensable. A predictive model of performance was redesigned from scratch: adding new functionality while reducing error and the time to update and run the model by 2000% compared to the previous version.  They’ve made new forays into strategic business simulation, where the model ‘looks at’ business questions in a unique way, to provide answers largely immune to trend and extrapolation models.  Then there’s that Deep Learning Model, a long short-term (LSTM) recurrent neural network (RNN) model that will predict spatial, temporal and agent patterns of behavior. 

    The power of one.  Never underestimate it.  Just one person can make an insurmountable difference. 

    Companies that previously understood perhaps only a small percentage of its customers well, at discrete points in time, are getting to the point where they know more about more of their customers on a continuum.   Clearly, being on the Big Data sidelines is not an option.

    About a dozen years ago, businesses of all sizes began using offshore resources in droves to reduce costs.  Initially, companies did save money with a labor arbitrage.  Today, some companies are re-thinking this decision, deciding to re-shore, rather than to have much of their prized intellectual capital locked up in minds of behemoth offshore-based IT outsourcing organizations. 

    Whether companies plunged heard first into the gushing Big Data torrent or dipped their toes in with a POC, these IT outsourcing agreements and resources were largely in place.  Naturally, as a convenient convergence of time and circumstance, the hammers were handed to these resources to a large degree to go build some Big Data solutions.

    Some business leaders now wonder whether a commodity approach to their most-prized intellectual capital is truly in their best interest – and in the long run, they wonder, what are the true costs of outsourcing prized strategic and operational knowledge?

    This introspection is pronounced for big data analytics initiatives, where customer engagement is the goal, and success or failure may well foreshadow the ongoing viability and competitiveness of the organization in certain industry verticals.

    The approach of more low-cost resources seemed to work well for outsourcing call centers and technical support - you maybe really did need more bodies just to handle the volume.  But for transformative development leveraging Data Science and Big Data, the right elbow reflex of the non-focused IT outsourcing firms – who want to sell you more – may not be the right prescription. 

    RM Dayton knowledge worker engagements consist of fewer, but laser focused resources, without the fluff - an approach that has earned to be one of  The Silicon Review 50 Most Admired Companies of the Year

    RM Dayton Analytics is singularly focused on Big Data, Data Science and Business Analytics.  A simple, yet powerful, mindset provides for a more effective and efficient approach to providing a world class experience for our customers.   

    Combining an agile approach with the firepower of those who dare to ask, ‘why not?’, the firm is able to deliver transformative results, providing strategic and operational advanced analytics intellectual capital at scale and speed, from the inside looking out.   RM Dayton has earned several accolades, including 20 Most Promising Enterprise Performance Management Solution Providers 2016, 100 Most Promising Big Data Solution Providers 2017 and 50 Most Admired Companies of the Year 2017.

    June 1st, 2017

    © 2017 RM Dayton Analytics, Ltd. Co.