We don’t let just anyone in the club! Our Advisors are some of the best data minds in the industry.
We don’t let just anyone in the club! Our Advisors are some of the best data minds in the industry.
Experience leading, designing, architecting and developing IT solutions and teams. Applications Architect and Full-stack Developer; Web Applications and Data Analytics/Big Data/BI/DW, Amazon Web Services (AWS) Certified Solutions Architect, Senior Management and Technology Consultant, Business Analysis, Requirements, Specifications, Design, Agile, DEV-OPS and PMP Project Management (SCRUM, Jira, Kanban, Extreme, Rally) AWS Cloud Architecture, Tableau/Qlik/Cognos/other, MySql/MS SqlServer/Oracle/ Redshift/MongoDB/other, Pentaho/Informatica/SSIS/Alteryx, Python/Java/HTML/CSS, Linux/Windows Server/Desktop.
With a focus on innovation, Julie has helped companies large and small become data-driven champions with amazingly successful results. Julie loves data and believes in the power of a strong analytics program. She believes that the term “big data” is overused and misunderstood, as all data is important, big or small. Over the years she has assembled excellent analytics teams. Through the use of emerging technologies such as the cloud, data visualization and machine learning, she has helped organizations save millions of dollars while growing bottom line revenues. Julie believes in power of a strong corporate culture that supports strong teams. She promotes strategic planning that supports solutions that differentiate an organization. With these two key activities, teams are motivated, confident and eager to engage with their peers, clients and partners.
A proven leader in Data Governance, Privacy, and Analytics with a solid track record of managing teams, defining needs and delivering solutions. Over 20 years of experience working in a wide variety of industries and across several B.I. platforms. Capable of making a strong connection and building trust with clients and stakeholders through outstanding communication skills, strong business acumen and a relaxed professional style. Exceptional leadership abilities mastered over 20 years of managing resources both within I.T. and in other functions.
Matt started in the academic world as a math professor before joining Overstock as a data scientist in 2015. There, he quickly saw a need to overhaul processes, improve teamwork, and incorporate engineering best practices to deliver real value to the company. He started to focus more on data and cloud engineering, working extensively with Amazon Web Services, Google Cloud Platform, Containers, Apache Airflow and GPUs, among other technologies. He has also achieved certifications in AWS and Google Cloud.
Dr. Patricia Klauer
Dr. Klauer is expert in adapting new technologies, aligning organizations and developing architectures to transform businesses, while addressing the pragmatic realities of preserving revenue through existing products and systems. With a primary focus on pioneering new information technologies, she recently lead an end-to-end IoT solutions company that provides data as a service for real-time monitoring of environmental conditions for transportation and smart cities of the future. Trained initially as a chiropractor, Dr. Klauer began her IT career at MIT and went on to Wall Street to design some of the first large-scale relational database systems for investment banks. She led a diverse team at the United Nations Development Programme (UNDP) and has been providing strategic consulting to integrate innovative technologies for a variety of industries, academic institutions, government, life sciences and telecommunications institutions. Dr Klauer applies her full spectrum skills to support organizations to develop seamlessly integrated, intelligent and highly adaptive technology systems that will address dynamic environmental and social factors.
Mike Lampa works with enterprises to transform their Analytics Programs to stay current and relevant with the latest business models, disciplines, regulations, techniques, analytic innovations and technologies in the rapidly evolving Modern Analytics market. Taking a holistic approach that focuses on the impacts on culture, people roles and business/technical process aspects as well as the selection and implementation of enabling modern technology tools and platforms and tactical migration roadmaps, Mike mentors and guides the enterprise towards a smooth transition to increase the Analytics Program value. Over 23 years Analytics practitioner experience both as a consultant and an employee in Global 100 enterprises with domain knowledge in Banking & Financial Services, Industrial Manufacturing, High-Tech Manufacturing, Telecommunications, Oil & Gas, Retail and Consumer Packaged Goods industries.
Anna Navarette works with legacy database theories and designs and how to best incorporate that into data analytic solutions. She focuses on the strategy of “data as an asset“ and working with her partners defines the impacts to process, procedures, people and potential technology enhancements to reach their overall objectives. Anna is a technical leader and facilitator over 25+ years creating, supporting and enhancing data platforms for business value. She has led global mergers and acquisitions with a focus on CRM, website development, and traditional data concepts including: warehousing, data marts, master data management, business intelligence tools for both on-premise and cloud solutions. Her overall goal is to provide solid solutions that are sustainable and able to evolve as the industry may demand.
Joe S. Wilhelmy focuses on driving innovation in the information, analytics and data engineering landscape. Along with this passion to pursue the novel, Joe utilizes his experience in different verticals to balance the business goals against the data transformation opportunities. Many of an organization’s most challenging problems are often times approached with extremely dated methods and technologies, which may appear adequate, but often times, are woefully inefficient. For many years, championing the fact that data is a first class citizen, Joe has architected the successful delivery of value in big data analytics, real-time insights of massive scale, NLP and business centric, private blockchain infrastructure.
Ms. Anderson has more than 24 years of professional experience working in the information solutions technology for government and private sector clients. As the State of Colorado Chief Data Officer, Dianna Anderson championed the development, adoption, and maintenance of the enterprise-wide information architecture (EIA). She was responsible for defining the EIA organization, processes, and technology infrastructure, and for leading the integration of those capabilities within related state business and information management practices. Dianna lead and facilitated the creation of data governance principles and best practices, Open Data Platform, Master Data Management (MDM), Big Data Analytics, Data Quality, Data Integration, metadata management and Business Intelligence strategies and policies.
David has worked with data for over 20 years as an analyst, actuary, statistician, research manager, and director. He has experience including evaluation and outcomes studies, ROI analysis, IBNR determination, predictive modeling, risk adjustment methodologies, advanced data visualization, dashboard design and implementation, database development and management, and identifying and evaluating trends and forces in data. His leadership responsibilities have included building out analytics teams, establishing data governance committees, fostering data literacy across organizational teams, maturing data visualization capabilities, and establishing the analytics vision, strategy, and roadmap. He recently held the position of Director of Business Intelligence for a nonprofit health plan. His educational background includes Bachelor’s and Master’s degrees in aeronautical engineering (yes – he was a rocket scientist). He has also completed coursework towards my doctorate in Health Services Research with a focus on Biostatistics at the University of Colorado School of Public Health (All but Dissertation). David is a part-time instructor, teaching classes in Data Analytics, Data Visualization, and Data Literacy – all cornerstones of Business Intelligence – as well as an independent consultant in Data Analytics and Visualization.
Paul Kautza has amassed more than 35 years of experience in business intelligence (BI) and data management. Kautza is a recognized management consultant and executive coach. He has led high-profile engagements with Fortune 500 corporations and government entities within national and global environments. Kautza focuses on business intelligence, data management, and business analytics, and he has consistently been on the leading edge of advancing and optimizing enterprise data across the entire data technology space including transitioning to digital and cloud environments for complex global corporations. He also spearheaded the development of business intelligence training courses and programs as the Director of Education with The Data Warehousing Institute (TDWI).
Mr. Krishnan is a recognized expert worldwide in the strategy, architecture and implementation of high-performance big data analytics, data warehousing, analytics and business intelligence solutions. He is a visionary data warehouse thought leader, ranked as one of the top data warehouse consultants in the world. Krishnan is an independent analyst, writing and speaking at industry leading conferences, user groups and trade publications. He has authored four books, four eBooks, over 430 plus whitepapers, articles, viewpoints and case studies in Big Data, Analytics, Business Intelligence, Data Warehousing and Data Warehouse Appliances and Architectures.