Data science
for businesses
large or small



Data science
for businesses
large or small

Old school analytics

Old school analytics

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New school data science

New school data science

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Better decision making

Better decision making

 

What is Synergy Data Science?



We provide Fortune 500 data science to businesses and non-profits without charging Fortune 500 prices. We make this possible by leveraging proven traditional “old school” analytics alongside cutting-edge “new school” methodologies to yield powerful, actionable solutions at any scale.

Our synergistic method draws from business, engineering, economics, and the sciences for a comprehensive approach. Then, we conduct analyses from multiple perspectives to assemble a consensus-based solution set. Our broad background and targeted focus allows us to evaluate the forecasting ability, the how, and the why from multiple perspectives to yield

stronger, more robust
results.

 




OUR PERSPECTIVE



We understand that there is more than one way to find the right answer, and that the most obvious approach may not always be the best one. The landscape of data science too often falls back on the same statistical and economic tools that have been in use for decades. This is what sets us apart in the field: scientific creativity guided by practicality.


The Synergistic Method™ is what makes us unique.


1. Old and new-school approaches
Data science may be new, but its roots as a discipline go back decades. We combine those time-tested approaches driven by the scientific method with a modern focus on artificial intelligence, machine learning, and big data. These newer approaches are capable of responding to business challenges dynamically, rapidly adjusting to changing market conditions and other factors. By bringing the old-school approach together with a new-school perspective, our data science is more than the sum of its parts.

2. Tools from numerous sciences
Business scenarios can often be approached with perspectives from a range of disciplines such as statistics, decision science, economics, or engineering. The most effective solutions can come from unexpected areas, and so we consider all of the approaches in every engagement, not just the ones that seem most obvious.

3. Insights from multiple industries
Whether it is financial services or agriculture, every industry has developed an effective set of tools and techniques. We respect these industry-specific approaches while bringing in diverse perspectives from other fields, leading to an out-of-the-box, thorough, and ultimately more effective engagement.

4. Constant validation
The integrative nature of the Synergistic Method™ is what sets us apart, but it’s our emphasis on constant validation and persistent quality control that keeps our projects on time. If a given approach isn’t fitting as well as expected, we will identify the issue, refine our process, and move forward with even greater accuracy

FOUNDER'S VISION: Our consulting practice, Emergency Rapid Response Team (ERRT), and R&D product lab exist to help clients make better decisions using Big Data Science through our unique lens of synergistic analytics.

We transform Big Data into financial benefits for your company… growth, profitability, P&L optimization, cash flow improvements, and cost savings.

We help you identify opportunities that yield economies of size, scale, or scope.

Our Synergistic Method yields 20% to 500% better solution accuracy and higher confidence in actionable results. We blend cross-industry methods, multiple scientific paradigms, financial analytics, and business judgment into strong, positive solutions.

We donate 10% of our time to provide analytics free-of-charge to community non-profits.

R&D efforts center on providing smaller businesses with web-based, automated, mobile, and socially networked analytics products to help level the competitive field.



Old school

Old school analytics are based on the scientific method--- often where a specific hypothesis is constructed ---based on asking why something happened and/or how to fix it. The scientific hypothesis is then empirically tested on human, business, or other behavioral data.

Many old school analyses also use qualitative factors like business judgment to ensure results add value and are easily implemented. The old school approach is based on centuries of science and industrial use of statistics, math, econometrics, predictive analytics, forensic analytics, actuarial science, etc.


New school

Applied new school analytics is driven by fast-moving changes that make old school methods impossible or cumbersome for certain problems. First, existing computer hardware, software, and analysis tools have been overwhelmed by the Big Data revolution.

Today’s Big Data requires new hardware, software, and analytics capable of handling a massive data cloud of audio files, video files, real-time transaction files, real-time web/e-mail/mobile device files, etc. This is one reason the new school techniques are so vital.



Better decisions

Business decisions are made in many ways including informally, based on tradition, or guided by banks, investors, or the government. Many decisions rely on numbers or other data. There are assumptions, overall business judgment, rules-of-thumb, and key metrics that are used to inform decision making today already. But many of the existing Excel-spreadsheet assumption-based forecasting and financial models are becoming useless.

A data science approach is increasingly necessary because of the sheer volume of data, along with complexities in customer, machine, or market behavior. Brand new techniques, models, and algorithms are being created at a fast rate.


DATA SCIENCE



Data science is fundamentally interdisciplinary.


Data science is more than business intelligence. Business intelligence is a relatively nebulous term that includes everything from simple reporting methods to advanced performance monitoring. The fundamental difference between data science and business intelligence is the latter field's emphasis on providing a deep understanding of existing metrics and performance variables, while data science explores the unknown; the next step; the new market.

Data science is more than decision science. Decision science is a useful and powerful discipline, but it leverages data specifically for the here-and-now. Data science considers the problem at hand in the context of a broader business situation, and it leverages data to develop persistent solutions, not one-offs.

Data science is more than statistics. Statistics is a critical component of data science, but to say that data science is the same as statistics would be like saying a car is an engine. Data science applies statistical principles to practical challenges while introducing solutions from other fields, like AI, economics, and computer science.

Data science is more than the sum of its parts.

Data science is part business intelligence. Business intelligence is a relatively nebulous term that includes everything from simple reporting methods to advanced performance monitoring. The fundamental difference between data science and business intelligence is the latter field's emphasis on providing a deep understanding of existing metrics and performance variables, while data science explores the unknown; the next step; the new market.

Data science is part decision science. Decision science is a useful and powerful discipline, but it leverages data specifically for the here-and-now. Data science considers the problem at hand in the context of a broader business situation, and it leverages data to develop persistent solutions, not one-offs.

Data science is part statistics. Statistics is a critical component of data science, but to say that data science is the same as statistics would be like saying a car is an engine. Data science applies statistical principles to practical challenges while introducing solutions from other fields, like AI, economics, and computer science.


INDUSTRIES



We offer services for a wide range of industries. Regardless of what business your team is in, we can work with any scale of partner from individual to firm. While these industries are areas of particular focus, we are fundamentally industry-agnostic and capable of working with any business regardless of focus.
We offer services for a wide range of industries. Regardless of what business your team is in, we can work with any scale of partner from individual to firm. While these industries are areas of particular focus, we are fundamentally industry-agnostic and capable of working with any business regardless of focus.


Financial Services

Financial Services

For banks, credit agencies, payment providers, and securities companies
For banks, credit agencies, payment providers, and securities companies

 
 

Real Estate

Real Estate

For investors, developers, brokers, lenders, appraisers, insurers, and builders
For investors, developers, brokers, lenders, appraisers, insurers, and builders


Cannabis

Cannabis

For growers large or small, dispensaries, vendors, and service providers
For growers large or small, dispensaries, vendors, and service providers

 
 

Natural Resources

Natural Resources

For miners, energy companies, and extraction supply & support businesses
For miners, energy companies, and extraction supply & support businesses


Consumer Goods

Consumer Goods

For food/beverage, electronics and luxury goods producers, and durables manufacturers
For food/beverage, electronics and luxury goods producers, and durables manufacturers

 
 

Agribusiness

Agribusiness

For farmers, investors, suppliers, lenders, and distributors
For farmers, investors, suppliers, lenders, and distributors


Economic Development

Economic Development

For municipalities and regional agencies, non-profits, and companies
For municipalities and regional agencies, non-profits, and companies

 

SERVICES



Introductory Data Science Packages

Introductory Data Science Packages

Starting at $2,500


Thanks to decreasing costs from our automated Synergistic Method, we can provide products and services to smaller enterprises or individual corporate teams that were previously affordable only by Fortune 500 companies. Starting at $2,500, our Introductory Data Science Packages are revolutionary in consulting because they offer up-front costs and clear outcomes.

Our packages are available as a one-time engagement or monthly service, and are designed to:

  • Encourage clients to explore unique opportunities offered by data science without much financial risk
  • Establish an ongoing relationship with Synergy Data Science as a business partner based on actual experience
  • Gain an understanding of next steps before booking a full consulting engagement or a monthly package

Synergy Data Science combines proven "old school" analytics with cutting-edge "new-school" machine learning to yield powerful solutions. We transform big data into financial benefits for your company: new customers, new revenue sources, growth, profitability, P&L optimization, and cost savings. We help you identify opportunities that yield increasing returns to size, scale, or scope.

Thanks to decreasing costs from our automated Synergistic Method, we can provide products and services to smaller enterprises or individual corporate teams that were previously affordable only by Fortune 500 companies. Starting at $2,500, our Introductory Data Science Packages are revolutionary in consulting because they offer up-front costs and clear outcomes.

Our packages are available as a one-time engagement or monthly service, and are designed to:

  • Encourage clients to explore unique opportunities offered by data science without much financial risk
  • Establish an ongoing relationship with Synergy Data Science as a business partner based on actual experience
  • Gain an understanding of next steps before booking a full consulting engagement or a monthly package

Synergy Data Science combines proven "old school" analytics with cutting-edge "new-school" machine learning to yield powerful solutions. We transform big data into financial benefits for your company: new customers, new revenue sources, growth, profitability, P&L optimization, and cost savings. We help you identify opportunities that yield increasing returns to size, scale, or scope.


Project-based Data Science Consulting

Project-based Data Science Consulting


Whether you already have a clear challenge to solve or are looking to take your Introductory Data Science Package to the next level, our data science consulting services are on a subscription basis based on your particular goals and needs.

While no project is truly typical, our consulting services include:

  • Customer segmentation
  • Upsell and cross-sell optimization
  • Product line planning
  • Consumer or community sentiment analysis
  • Market entry decision-making and strategy
  • Supply chain optimization
  • Fraud prevention and risk management
  • Inventory planning and part failure prediction

Whether you already have a clear challenge to solve or are looking to take your Introductory Data Science Package to the next level, our data science consulting services are on a subscription basis based on your particular goals and needs.

While no project is truly typical, our consulting services include:

  • Customer segmentation
  • Upsell and cross-sell optimization
  • Product line planning
  • Consumer or community sentiment analysis
  • Market entry decision-making and strategy
  • Supply chain optimization
  • Fraud prevention and risk management
  • Inventory planning and part failure prediction

Emergency Rapid Response Team

Emergency Rapid Response Team


Our Emergency Rapid Response Team (ERRT) is also available to solve your critical-priority issues, such as a model breakdown or immediate logistical challenge. ERRT services are available for response within eight hours of first contact and work initiation within 12-16 hours of introduction.

Our Emergency Rapid Response Team (ERRT) is also available to solve your critical-priority issues, such as a model breakdown or immediate logistical challenge. ERRT services are available for response within eight hours of first contact and work initiation within 12-16 hours of introduction.

There are times when clients need urgent assistance with analytics or data science tasks. Some examples include:
  • Fixing broken models, code, and dashboards
  • Content for upcoming events, board meetings, sales presentations
  • Replacing ineffective real-time analytics, code, and models
  • Proactive response to viral or emergency trends
  • Documentation, replication, and validation of results when personnel leave without notice or other challenges occur
  • Adjustment of findings, models, or dashboards to reflect latest information under tight deadlines

Our ERT helps as follows:

  • Assignment of resources and client meetings within 12 hours
  • Initial diagnosis and recommendations of courses of action within 24 hours of e-mail or other contact
  • Installation of corrective actions within 36 hours
  • Commencement of work within 36 hours on fully scoped project
  • Each situation differs and requires a customized solution… so delivery times vary but we follow aggressive timelines.
  • Solutions are dependent on data availability and access, client availability 24x7, and specifics of the situation

EMERGENCY SERVICE: PHONE/TEXT (520) 414-0600

NOTE: We may be unable to help depending on our system load, correct definition of problem, ability to obtain information from client quickly, and other factors.

 


ABOUT



Synergy Data Science was founded in southern Arizona to work with clients around the world. Our team combines an industry veteran founder & CEO with a deep bench of business and technical talent from a range of disciplines.

We live and breathe data science: in addition to our data science core competency, the Synergy team also operates an in-house R&D Product Lab meant to improve internal process efficiency across the scope of our business.

Our team's experience includes professional tenures at industry-leading firms and organizations such as:

  • American Express
  • CenturyLink Cognilytics
  • Chicanos Por La Causa
  • Cushman & Wakefield
  • J.P. Morgan



Dean "Gordy" Fairchild, PhD

Founder & CEO

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Dean G. “Gordy” Fairchild, Ph.D. is founder and CEO of Synergy Data Science, an Arizona-based full-service data science and analytics consulting and R&D shop. Gordy’s enthusiasm for data science, finance analytics, and econometrics is motivated by his zest for discovering increasing returns to clients from “synergistic data science”.  Synergistic data science is based on combining state-of-the art “new school” AI and data science techniques with centuries of “old school” analytics and statistical techniques. Gordy has found that the most important way to promote synergy is by recruiting, motivating, and listening to a diverse team. Crucial to this approach is a mix of employee, contract, and freelance pros each empowered to contribute independently to the whole effort.

The combination has yielded exponentially powerful, insightful solutions for clients. The firm has a commitment to give 10% of company time to provide non-profit orgs with data science. The R&D focus is on empowering local smaller businesses to harness increasingly affordable data science techniques to compete better against larger competitors. In many cases, suppliers, POS partners, and manufacturers do not allow such smaller businesses to use their own data ---the data produced by farmers and small retail chains is simply taken. Gordy is a vocal advocate of the right for small businesses to use the data they produce.

Prior to founding Synergy Data Science in 2018, Gordy spent almost a decade with Silicon Valley data science consulting start-up, Cognilytics as it grew exponentially and was then sold to telecom giant Century Link. In 9 years as a Senior Director, Gordy managed or worked on 101 separate projects for 33 international clients ranging from 7 of the largest US banks to insurance, agribusiness, transportation, government, telecom, and other sectors. Fairchild spearheaded quality control and validation efforts at Cognilytics to ensure deliverables met extremely tight standards. Many clients required pre-regulatory review, SEC compliance standards, validation of submissions to Federal Reserve and Comptroller of the Currency, actuarial review, and strict audits. Gordy was instrumental in consulting on many high visibility projects including the Visa black card launch, interbank research that concluded debit cards should stay fee free, numerous anti-money laundering and anti-fraud models, cutting Social Security fraud, improving US Army medical care, and correcting failing Federal Reserve regulatory reviews at 3 banks.

Gordy spent 10 years at American Express HQ Finance and risk from 2000 into 2010 where he led the HQ Finance international MR (Membership Rewards) analytics team. The team’s chief focus was on using data science to analyze rewards valuation, balance sheet reserves for MR points, rolling forecasts, and internal investment valuation. A $692M SEC/Fed-required reserve increase on the international balance sheet was based on Gordy’s technical leadership to install data-driven methodologies for 26 countries. In the role, he instituted early warning systems, rapid-response dashboard reports, international points valuation forecasts and executed an average of $63M of re-engineering savings annually. Gordy communicated methodology updates and financial impacts to high-level audiences (CFOs and Board of Directors). At American Express Gordy learned his most important data science lesson: how to map scientific findings to tangible financial results. Gordy’s thought leadership helped him collaborate on model audits and data risk reduction with internal and external auditors and consulting actuaries. Gordy maintained perfect regulatory compliance and fulfilled AmEx’ high internal audit standards.

American Express brought Gordy aboard after he finished his Ph.D. in Agricultural Economics at the University of Florida. The ag econ specialty gave Gordy an enormous amount of practical (rather than only theoretical) experience. At Florida,  Gordy worked with Big Data in the 1990’s with futures market transactions, supermarket scanner data, and options pricing. He funded his doctoral dissertation by consulting for Internet, telecom, and agribusinesses on access to and use of the web and advanced networking for farmers, ranchers, nurseries, processors, and rural Florida.


John Hampton Knight

Executive Vice President of Sales Operations

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John Hampton Knight serves as the Executive Vice President of Sales Operations for Synergy Data Science,  an Arizona-based full-service data science and analytics consulting and R&D shop. Prior to joining Air Comm and Synergy, John was a Senior Client Business Director at AT&T for 17 years. At AT&T, he led a team managing the voice, data, security, mobility, Internet of Things, Consulting, Digital Transformation needs of AT&T’s largest corporate clients in Arizona. By establishing deep relationships at the C-level and across IT, HR, Sales, Operations, Marketing, and Advertising, John and his team consistently outperformed all metrics set forth by AT&T.

A regular top award winner of President’s Club and Chairman’s Diamond Awards, John’s focus was on Retail, Hospitality, Transportation and Dining for large enterprise corporations. His clients included Discount Tire, PetSmart, Best Western  International, U-Haul, Swift Transportation, PF Chang's and Leslie's Pool. He spearheaded foundational solutions that increased customer experience and operational productivity while saving customers up to 50%, delivering custom-designed solutions tailored to each client and industry. John is a seasoned salesperson, sales leader, and technical expert across all technologies that impact business performance. He is adept at being the  lead on major projects, communicating with stakeholders, and demonstrating financial results. His efforts resulted in up to $60M in annual revenue gains for AT&T over the last 17 years.  

Besides his efforts in the business world, John is very active in many philanthropic programs (Salvation Army, Boy's and Girl's Club, Duet AZ Partners in Aging, the Phoenix Children's Hospital, Desert Botanical Garden, Educational Institutions, American Cancer Society to name a few). John believes “to those who are given much, much is expected”. He carries this principle along with a high level of integrity to help those in need and share in the benefits and success afforded to him. He looks forward to setting up his own foundation to continue these works for the remainder of his life. 


Cynthia Phillips, PhD

Strategic Advisor