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Analytics Consulting

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

  • RM Dayton - Top Gun Analytic Talent

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    PLANO, TX—August 24, 2017 – CIO Review selects RM Dayton Analytics as a '100 Most Promising Big Data Solution Provider 2017,' its top-tier list. The merit-based award was earned after CIO Review's editorial research panel of experts evaluated several hundred solution providers.  

    "We are honored and humbled to receive this prestigious award," said Robert Dayton, Managing Partner at RMDA. "To receive this accolade not only is validation of our knowledge worker alignment mission, but also is a recognition award for our incredible team and forward-thinking our customers, who are at the forefront in the strategic use of data analytics."  RM Dayton Analytics makes it to CIO Review’s Top 100 Big Data Solution Providers list for its expertise in helping clients align enterprise intelligence in a manner that transcends the iterative approach to deploying analytic talent in silos. 

    The annual list showcases the 100 Most Promising Big Data Solution Providers 2017. The positioning is based on evaluation of RM Dayton Analytics’ specialties in building teams of strategic and operations knowledge workers from an inside looking out perspective.  RM Dayton is changing the way the world's leading organizations deploy their X's and O's, aligning the world's most-prized intellectual capital in a new paradigm for data analytics.  The annual list of companies is selected by a panel of experts and members of CIO Review’s editorial board.

    RM Dayton Analytics has been selected after being evaluated across more a dozen quantitative and qualitative elements. Experts have made the decision by taking to consideration, company’s experience, industry recognition, technical certifications, market presence and positive client reviews. “The company continued to break new ground within the past year benefiting its customers,” according to Jeevan George, Managing Editor of CIO Review, “We are happy to showcase them this year due to their continuing excellence in delivering top-notch technology driven solutions.”

    Download the CIO Review Article

    About CIOReview

    CIO Review constantly endeavors to identify “The Best” in a variety of areas important to tech business. Through nominations and consultations with industry leaders, its editors choose the best in different domains.  The Big Data Special Edition is an annual listing of 100 Most Promising Big Data Solution Providers 2017 in the U.S.  For more information, visit the website at https://bigdata.cioreview.com/vendor/2017/rm_dayton_analytics

    About RM Dayton Analytics

    RM Dayton Analytics is trusted by Fortune 100 companies, as well as industry disruptors and other admired Global 2000 brands, to find the sharpest minds that embrace technology and enhance the customer experience. 

    We've been there ourselves as practitioners in our space. We've either been in your shoes as a hiring manager and/or we've worked on data analytics solutions like you. We get it.  We know what team building takes.  And we know what makes someone a top gun.

    The world's most admired companies realize that it's the people that make the difference in driving their technology roadmap.  RMDA focuses exclusively on aligning knowledge workers in business analytics, data science and big data.   The top brands on the planet realize that their People Roadmap is as important as their technology roadmap.

    We align the X's and O's that are right at the heart of the world's most prized intellectual capital, right at the leading edge of the people-side of data analytics.  It is people, after all, that drive the analytic technology, i.e. the 1's and 0's.  We do the X's and O's™.

  • PLANO, TX—December 30, 2016 – CIO Review selects RM Dayton Analytics as a '20 Most Promising Enterprise Performance Management Solution Provider 2016,' its top-tier list. The merit-based award was earned after CIO Review's editorial research panel of experts evaluated over 300 solution providers.  

    "We are honored and humbled to receive this prestigious award," said Robert Dayton, Managing Partner at RMDA, "EPM is the heart and soul of data analytics. To receive this award, in this category, at this juncture in our journey, not only is validation of our knowledge worker alignment mission, but also is a recognition award for our incredible team and forward-thinking our customers, who are at the forefront in the strategic use of data analytics."  RM Dayton Analytics makes it to CIO Review’s Top 20 Enterprise Performance Management Solution Providers list for its expertise in helping clients align enterprise intelligence in a manner that transcends the iterative approach to deploying analytic talent in silos. 

    The annual list showcases the 20 Most Promising Enterprise Performance Management Solution Providers 2016. The positioning is based on evaluation of RM Dayton Analytics’ specialties in building teams of strategic and operations knowledge workers from an inside looking out perspective.  RM Dayton is changing the way the world's leading organizations deploy their X's and O's, aligning the world's most-prized intellectual capital in a new paradigm for data analytics.  The annual list of companies is selected by a panel of experts and members of CIO Review’s editorial board.

    RM Dayton Analytics has been selected after being evaluated across more a dozen quantitative and qualitative elements. Experts have made the decision by taking to consideration, company’s experience, industry recognition, technical certifications, market presence and positive client reviews. “The company continued to break new ground within the past year benefiting its customers,” according to Jeevan George, Managing Editor of CIO Review, “We are happy to showcase them this year due to their continuing excellence in delivering top-notch technology driven solutions.”

    Download the CIO Review Article

    About CIOReview

    CIO Review constantly endeavors to identify “The Best” in a variety of areas important to tech business. Through nominations and consultations with industry leaders, its editors choose the best in different domains.  The Enterprise Performance Management Special Edition is an annual listing of 20 Most Promising Enterprise Performance Management Solution Providers 2016 in the U.S.  For more information, visit the website at CIO Review - RM Dayton Analytics.

    About RM Dayton Analytics

    RM Dayton Analytics, a CIO Review Top 20 Most Promising EPM Solution Provider 2016, is trusted by Fortune 100 companies, as well as industry disruptors and other admired Global 2000 brands, to find the sharpest minds that embrace technology and enhance the customer experience. 

    We've been there ourselves as practitioners in our space. We've either been in your shoes as a hiring manager and/or we've worked on data analytics solutions like you. We get it.  We know what team building takes.  And we know what makes someone a top gun.

    The world's most admired companies realize that it's the people that make the difference in driving their technology roadmap.  RMDA focuses exclusively on aligning knowledge workers in business analytics, data science and big data.   The top brands on the planet realize that their People Roadmap is as important as their technology roadmap.

    We align the X's and O's that are right at the heart of the world's most prized intellectual capital, right at the leading edge of the people-side of data analytics.  It is people, after all, that drive the analytic technology, i.e. the 1's and 0's.  We do the X's and O's™.

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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 - Predictive Analytics World


    The Predictive Analytics World Conference will be held in Las Vegas, NV from June 16th - June 20th, 2019.  We look forward to seeing you there to network with industry practitioners in business analytics.   Let us know if you'll be heading out.  Find 30 minutes on the below calendar, and we'll talk talk shop on business analytics over the java that you drink in Vegas.

     

     

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    Conference - Strata Data -- Make Data Work


    The Strata Data Conference will be held in San Jose, CA from March 15th-18th, 2020.   Let us know if you'll be heading out to Silicon Valley.  Schedule 30 minutes on the calendar below. Thank you.

     

     

    Thank you!

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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!

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    Cross-Enterprise AI 101 for Analytics and EPM People


    Where does Cross-Enterprise Artificial Intelligence (AI) take the baton from Enterprise Performance Management (EPM) and other business analytics technologies?  

    In this e-learning session, we’ll briefly review the scope and breadth of traditional EPM and Business Analytics towards the objective of becoming an intelligent agile enterprise.

    We’ll talk through examples of advanced analytics applications typically beyond the scope of classic EPM, where massive integration of different ‘type of data’ silos are required, and different skill sets, such of those of a data scientist, are often deployed.

    You’ll then learn about the key components of a cross-enterprise AI platform, as well as several use cases highly adaptive for cross-enterprise AI. A prime objective of Cross-Enterprise Artificial Intelligence is to continuously sense what people want, and then deliver continuously adapting value.

     

    Register Here!

     

     

  • 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.

      

  • Business Analytics in the Travel Industry

    The travel industry makes extensive use of business analytics to drive loyalty, promotions, revenue management – and ultimately, the customer experience.  

    These are not your grandfather’s type of slice and dice analytics, but use a combination of data science, big data and business analytics visualization tools.  Below are a few examples of business modeling in travel and hospitality:

    The Booking Performance Model

    A predictive model of booking performance was redesigned from scratch: adding new functionality while reducing error and the time to update and run the model by twenty-fold compared to the previous version. This model is responsible for determining:

    - Targets and forecasts
    - Of bookings and arrival
    - Calculated at the book date, arrival data pair level

    The model is a multiplicative pick up model, expanded to include:

    - Stationarization
    - Seasonal decomposition
    - Outlier detection
    - Frequency domain analysis
    - SARIMAX
    - Synthetic booking and cancellation curves

    The Strategic Business Simulation

    This model "looks at" the data and business questions in a unique way, to answer questions that are largely immune to statistical and trend extrapolation models.

    The Deep Learning Model

    This is a long short-term memory (LSTM) recurrent neural network (RNN) model. It will extract and predict spatial, temporal, and agent patterns of behavior.  

    Rapid Response Analytics

    Improve the rapid response analytics process to give better data faster by creating high-quality, complex data extracts and aggregations that can be quickly customized for unusual data pulls. This saves days of effort for several very urgent descriptive / diagnostic analytics requests, while drastically reducing turnaround time.

    Data analytics revolve around these types of business subjects:

    - Sales promotion targeting and performance
    - Booking channels
    - Competitive analysis
    - A/B testing of new initiatives
    - Segmentation of guests, assets, and prices
    - Analysis of pricing strategies

    May 24th, 2017

    © 2017 RM Dayton Analytics, Ltd. Co.

      

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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.

      

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    PLANO, TX—August 21, 2017 – Silicon Review selects RM Dayton Analytics as a '50 Most Admired Company of the Year 2017.' 

    "There is not 'story' without the privilege we have been provided by all of those whom with we've engaged," said Robert Dayton, Managing Partner at RMDA.  "The accolades that we've received are more about the folks that have given us permission to serve than they are about us."    RM Dayton Analytics makes it to Silicon Review’s Top 50 Most Admired Companies list for its laser-focused expertise in Business Analytics, Big Data and Data Science, linked to analytic talent alignment one customer, one knowledge worker at a time, from the mindset of being practitioners in our space.  

    The annual list showcases the 50 Most Admired Companies of 2017. The positioning is based on evaluation of RM Dayton Analytics’ specialties in building teams of strategic and operations knowledge workers from an inside looking out perspective.  RM Dayton is changing the way the world's leading organizations deploy their X's and O's, aligning the world's most-prized intellectual capital in a new paradigm for data analytics.  

    Download the Silicon Review Article

    About Silicon Review

    Silicon Review constantly endeavors to identify “The Best” in a variety of areas important to tech business. Through nominations and consultations with industry leaders, its editors choose the best in different domains.  The 50 Most Admired Companies Special Edition is an annual listing 50 Most Admired Companies in the U.S.  For more information, visit the website at The Silicon Review 50 Most Admired Companies of the Year.

     

    About RM Dayton Analytics

    RM Dayton Analytics is trusted by Fortune 100 companies, as well as industry disruptors and other admired Global 2000 brands, to find the sharpest minds that embrace technology and enhance the customer experience. 

    We've been there ourselves as practitioners in our space. We've either been in your shoes as a hiring manager and/or we've worked on data analytics solutions like you. We get it.  We know what team building takes.  And we know what makes someone a top gun.

    The world's most admired companies realize that it's the people that make the difference in driving their technology roadmap.  RMDA focuses exclusively on aligning knowledge workers in business analytics, data science and big data.   The top brands on the planet realize that their People Roadmap is as important as their technology roadmap.

    We align the X's and O's that are right at the heart of the world's most prized intellectual capital, right at the leading edge of the people-side of data analytics.  It is people, after all, that drive the analytic technology, i.e. the 1's and 0's.  We do the X's and O's™.

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