In a deeply meshed business environment, it is often difficult to balance span and depth when evaluating the impact of a resource planning strategy. DecisionFlow offers a broad range of professional services expertise coupled with breakthrough analytics to facilitate this process.

Our holistic approach, a blend of business proficiency, advanced mathematical modeling and artificial intelligence methodology, brings clarity to some of the most complex business decisioning problems.

A key aspect of successful decision management is to identify critical drivers and separate them from secondary requirements, a skill we have honed over years of combined business and analytical consulting experience.

Often, these requirements are not easily separable, however. They form a dense mesh of intricate logic that may extend deep into core company processes, and it is important to capture requisites that are strongly correlated as a whole while setting aside elements that are unlikely to impact the bottom line.

This is what we have coined the dendritic modeling approach to decision modeling, a unique enabler of the competitive time-to-value we offer.

DecisionFlow generates client-focused solutions with the help of an analytics framework developed internally for nearly a decade. This analytical core is formed of two specific components:

A library of mathematical modeling lego “bricks" that can be assembled quickly and efficiently to form a customized prescriptive analytics model that is unique for each customer.

A simulation framework based on a mix of exact algorithms, commercial mathematical programming libraries and proprietary machine learning heuristics, that sources the customized models and returns a solution profile rapidly and accurately.

A sampler of our application taxonomy:

Investment and Finance
Merger and acquisition
NPV, discounted cash flow optimization
Capital budgeting

Executive Management
Reconciliation of business strategies across business units

Product Management
Product portfolio management in competitive and cross-elastic frameworks

Sales and Marketing
Order management
Market segmentation
Target price analysis

Engineering
SKU stack optimization

Operations
Line/logistics push-pull optimization
Sourcing, inventory management

The DecisionFlow analytics framework natively handles many different types of resources, including:

capital
assets
products
finished or partially finished goods
tier-N supplier products
competitive technology and/or products
plants, space, equipment
raw material
natural resources
staff and services
real estate assets

A typical short-term engagement cycle:

Assessment and data needs evaluation -2 to 4 weeks
Pilot -3-5 weeks
Analysis and validation -2-3 weeks

leads to an actionable solution in as little as two months.

A broader engagement consists of the following steps:

analysis
simulation
internal acceptance
deployment
training and support

Among more than 60 completed projects, we can highlight:

Generated ROI of over US$90 millions/year for a Fortune 500 chemical manufacturing company, meeting the key challenge of integrating a complex chemical production mass balance model into a strategic supply chain optimization framework.

For a major semiconductor manufacturing company, built a robust production-distribution planning simulation tool to balance 30 product lines over a 3 year forecast horizon and evaluate executive planning scenarios in near real-time.

For a holding company of baked goods manufacturers, quantified merger & acquisition scenarios by simulating joint operations under capital expenditures and restructuring options, resulting in an annualized operating cost reduction of US$ 55 millions.

For the regional government of Lambayeque Province, Peru, built a land auction optimization framework used in real-time to generate net proceeds of US$ 150 million, a 50% improvement over the manual selection of winning bids.

Contact us for additional references.

Jean-François Pusztaszeri

Jean-François Pusztaszeri is an Operations Research professional and business executive with over 25 years of experience in analytical consulting and development of industrial decision support applications. His expertise spans many verticals, among them semiconductors, finance, industrial manufacturing, transportations, telecommunications, mining and automotive. He has worked for companies as diverse as IBM, Toyota, American Airlines, Cargill and Level(3).

Earlier in his career, he worked for several years as a lead scientist at the European CERN laboratory where he pioneered the use of combinatorial optimization in High Energy Physics. He was inducted as a CERN Fellow in 1995. He was also a researcher and lecturer at Cornell University’s School of Engineering in New York, teaching courses in computational finance related to demand forecasting and optimization.

Jean-François holds a Ph.D. in Mathematics from the Swiss Federal Institute of Technology, has co-authored a book on nonlinear optimization and has published 95 refereed papers in scientific journals. He is fluent in English, French and German. Awards include the Prize for Best Doctoral Dissertation awarded by the Swiss Operations Research Society.

Michael Gay-Duchosal

Michael Gay-Duchosal is a Global business professional with 15+ years of experience in both mature and emerging markets within the pharmaceutical industry in multiple therapeutic areas such as oncology, hematology, cardiology, rheumatology, neurosciences and diabetes. His depth of expertise spans marketing, sales, executive training, business development and growth. He is a big picture thinker with a record of identifying and capitalizing on strategic opportunities to drive revenue and productivity.

A strong communicator with experience leading high-performing, multicultural, and multifunctional teams, focused on accountability and customer satisfaction, he is also a skilled negotiator and presenter known for effectively managing relationships with stakeholders, physicians, key opinion leaders (KOL), and representatives.

Michael holds a Master’s degree in Chemistry and Biochemistry from the University of Lausanne and has done advanced research at the National High Magnetic Field Laboratory in Tallahassee, Florida.

Italo Biondo

Italo Biondo has worked extensively on new business implementation and management, from small to large sized companies. He has served as statutory officer and Chief Operations Officer of Fastenal Brazil, VP of operations for MAPFRE Assistência Brasil, Managing Partner of K2G Ltd, National Accounts Manager for Agaprint (Suzano Paper Group Brazil).

Italo holds an undergraduate degree in Law and Business Administration, with a graduate degree in finances from FIA (Fundação Instituto de Administração – USP). He is fluent in Portuguese, English and Italian as well as conversational in Spanish.