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Not everyone is a data cruncher, but in the data age, every professional should be using analytics to make strategic business decisions. This means business units and departments — sales, marketing, customer service, finance, HR, operations, and IT — not only need the power of analytics at their fingertips, but they must learn to fully leverage it. With access to insights, each department can take on bigger challenges, improve speed to insight, and optimize processes with the power of data. Join Alan Jacobson, Chief Data Officer at Alteryx as he highlights best practices needed to ensure a strong culture of analytics, including how to overcome challenges and seize opportunities.

Presented by: Alan Jacobson, Alteryx

Alan Jacobson is the chief data and analytics officer (CDAO) of Alteryx, driving key data initiatives and accelerating digital business transformation for the Alteryx global customer base. As CDAO, Jacobson leads the company’s data science practice as a best-in-class example of how a company can get maximum leverage out of its data and the insights it contains. He is responsible for data management and governance, product and internal data, and use of the Alteryx Platform to drive continued growth.

Mike is the VP of Sales at Dataiku. Mike manages the central and west sales teams for Dataiku, the industry's premier collaborative data science platform for creating data products and enabling clients to implement breakthrough analytics transformation programs. Mike has over 25 years experience in data and advanced analytics and has helped many industry leaders deploy programs that rapidly evolve their analytics capabilities while minimizing costs and maximizing adoption and value.

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With more than 20 years analytics experience in the auto industry, Dr. David Corliss leads the Data Science Center of Excellence in Business Analytics at Fiat Chrysler. Corliss is active in the American Statistical Association, serving on the board of the Detroit chapter, and writing a monthly column on Data For Good for the member magazine Amstat News.

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Jesse has over 15 years of experience helping customers use data & analytics to create value. Working as both a hands-on practitioner and strategic advisor, he has helped many multi-national, Fortune 100 companies in the Manufacturing, Life Sciences, and Consumer Healthcare industries digitally transform their business.

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This session will be an overview of a unique machine learning project to deliver factors that would help divert mental health consumers from going to jail for a misdemeanor offence. The project engineers unusual datasets from Wayne County Jail inmates and mental health network clients to find the highest health diagnostic and patient factors for use in an intervention program to reduce their clients from becoming inmates. Wayne County spends an average of over $33 million per year on housing non-violent criminals who are brought in for misdemeanor or ordinances charges. On average, 34% of individuals charged with misdemeanor and ordinance violations also have a severe mental illness. This is a huge expense of time and resources spent by tax payers that could be better allocated to focus on violent crime and violent criminals.

Presented by: Chief Robert Dunlap, Wayne County Sheriff's Office & Andrea Smith, DWIHN

Chief Robert Dunlap is a law enforcement executive with more than 30 years of law enforcement experience. He currently serves as Chief of the Wayne County Sheriff’s Office in Detroit, Michigan, where he is responsible for the day-to-day operations and management of more than 1000 employees spread across five divisions which includes jails, courts, and patrol operations. Prior to his appointment to the rank of Chief in September of 2015, Dunlap held several other key positions within the Wayne County Sheriff’s Office which includes, Director of Jail Classification and Lead Project Consultant for the New Consolidated Wayne County Jail Project.

Andrea Smith, DWIHN

Andrea Smith serves as Director of Workforce Training & Program Development with the Detroit Wayne Integrated Health Network. In this role, Andrea leads the oversight, development, implementation, and monitoring of clinical service models while evaluating workforce needs — strategically planning and implementing ways to address gaps through training and grantsmanship.

Damien is an Analytics Data Architect for Qlik Data Integration ADA team. Damien works on the pre-sales team to help customers with Data integration solution architecture. Damien has many years of experience working as an Enterprise Data Architect and application developer, previously as a Sr. Data Engineer at Cloudera and Hortonworks working with customers to provide solutions and training for Big Data Use Cases.

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This session reviews our in-progress corporate strategic turnaround plan called Path to Brilliance and its three planks: Customer First, OmniChannel, and Culture of Agility and Efficiency. Data prep and data viz tools are key to delivering on the Culture of Agility and Efficiency, but it takes more than just purchasing software platforms: It is about changing the hearts and minds of the user community and gaining executive buy-in. In this session you will learn how we have encountered and overcome process challenges, how we are building a true community of passionate analysts, and how we have gone from a handful of licenses a few years ago, to proof-of-concept, to Enterprise Deployment.

Presented by: Gary Gruccio, Signet Jewelers

Gary is the Director of Enterprise and Market Analytics at Signet Jewelers and is based out of northeast Ohio. He has always had a passion for data, specifically geospatial data, which led him to pursue his BA and MS in Geography from the University of Akron. In 1996 he began his career as a Geographer for the U.S. Census Bureau in Detroit, working on the TIGER files for Census 2000. After the Census he returned to Ohio to work at Signet Jewelers in the field of geospatial analytics. He has held various roles within Marketing and Real Estate and currently leads a team of enthusiastic analysts in a newly created Enterprise Analytics department.

Michael Gutsche is a Security Strategist within the Enterprise Security Products business unit at Micro Focus. In this role, Mr. Gutsche is responsible for driving strategic initiatives for the ESP Security Strategy group and providing thought leadership and insight regarding the ever-changing global threat landscape.

Mr. Gutsche comes to Micro Focus with over 20 years of experience building large enterprise security and operations programs. As the Senior VP of Core Operations at MasterCard, Michael was responsible for the security, safety, and reliability of one of the largest payment networks on the planet. Mr. Gutsche’s experience has provided him with key insights into the challenges and approaches to combat today’s cyber threats.

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Data alone is useless. Data with history? Now that’s information. Add context, you get knowledge. For manufacturers, finding a way to crack open data siloes around the company can lead to real business value at all levels of the organization. This session is for leaders who are wondering how to merge the various machines, systems, people, and processes in the right way to find data that can be trusted.

Michael Hart, Plex Systems

Michael Hart is a director of product strategy for manufacturing and industrial IoT at Plex Systems. In this role, he designs and builds cloud solutions exclusively for the manufacturing industry. Mike also leads IoT (Internet of Things) product innovation, helping global manufacturers leverage the latest connected technologies to achieve more efficient, agile and automated operations. Mike has nearly 20 years of experience in the cloud software industry.

Ajay Jillellamudi is the Director for Architecture, Data and Analytics at GE Transportation, a Wabtec Corporation, which is a global leader in equipment, components, services, software and systems for the transportation industry. He is leading architecture and emerging technologies teams and responsible for platform architecture, enabling new capabilities, enterprise-level support for data, users, workloads and integrating technologies with enterprise technology stack. Jillellamudi's team works closely with various leaders in industries such as business, self-service analytics, and citizen data scientists to develop the strategic analytical capabilities roadmap to improve analytics culture in the organization and implement an advanced analytics platform to access data easily and securely for discovery, exploration, and creation of data products.

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Jim Judge is a Staff Sales Engineer for Splunk and has over 20+ years of experience in Enterprise IT Operations, Architecture, Site Reliability and Information Security as a customer, consultant and customer-focused trusted advisor.

Jim lives in and is from the Detroit, MI metropolitan area. When he isn’t strategizing with customers about the art of the possible with gaining new insights from their data, he is actively involved with his family and honing his woodworking skills in his workshop.

Saurbh Khera is a technology entrepreneur with a passion for identifying transformational ideas and building them into strong companies. As CEO and Founder of ZenOptics Inc., (Gartner Cool Vendor 2019, CRN - 10 hottest DataAnalytics startups of 2019) an Intelligent Analytics Catalog company, headquartered in San Jose, CA, he is responsible for managing the overall vision, strategy and business execution for ZenOptics. He founded ZenOptics, realizing that in today’s self-service BI & Analytics world, enterprises seek a unified view of all their intelligence assets that are locked away in multiple silos. His key mission is to help enterprises unlock value from their investments in data, with an intuitive and easy-to-use platform. He believes in building and leveraging the power of strong partnerships to evangelize federated intelligence for customers.

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Starting a data science practice on a non-digitally native organization can result in a frustrating experience for individuals who envision their roles being homologous to that of a Data Scientist who works for a fully data-driven or digitally-native organization. The challenges, tools and culture are different. Hence, the way data science teams operate can be a completely different experience.

Organizational leaders who choose to invest in a data science team often struggle with gaining traction. Tools and skills can be acquired, but methods and processes required to embed data science practices into an organization can often be overlooked. So, what do the teams need? How should they start?

During the session, I will go over five key considerations that have been foundational in the creation of a successful and powerful data science team in a century-old organization with limited digital dexterity and a long road ahead of their digital transformation journey.

Presented by: Jorge Lozano, Steelcase

Jorge currently leads the Applied Data Science team at Steelcase which focuses on leading the data science related efforts in direct support of an organizational digital transformation. The team's focus is to transform customer experiences by developing innovative ways to group, measure and interact with Steelcase's products.

Jorge joined Steelcase and joined the very early stages of a centralized Advanced Analytics team. Over the last 5 years, he has been working on data science initiatives for the organization. During this time, he has been part of the evolution of the team; their victories, failures, strengths, and weaknesses. Jorge has learned firsthand the challenges of setting up a data science practice in a non-digitally native organization.

Jordan is a Sr. Solutions Engineer for partners and is a member of a team for solution & engineering initiatives within Databrick’s partner ecosystem to support other platforms & tools delivering AI & Insight to our customers.

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Brandon McGirr is a Senior Sales Engineering Manager at Splunk, specializing in DevOps and Application Development products for the modern enterprise. Prior to his time at Splunk he worked at Oracle for their Fusion Cloud Products and also spent time as a developer. He has his MBA from the University of Wisconsin – Madison and his Computer Science degree from the University of Notre Dame.

Dave has a background in Chemical Engineering from University of Michigan, and has worked in the computer industry at Dow Chemical, Rockwell Automotive, and Ford before assuming roles in Software Presales Management at software companies such as Information Builders and IBM in the area of Business Intelligence and Data Management. Most recently, Dave joined Informatica as a Solution Architect where he is primarily focused on accounts in the automotive sector for the past 8 years.

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Gregory Parrish joined WIT in 2018 as an Analytics Manager. He is working with clients on dashboards and data implementations. Prior to joining WIT Inc, Greg worked for nonprofits, governments, and universities. He enjoys data, tech, planning, hockey, and wonky indicator discussions. Greg grew up in Detroit, Michigan, and attended Cass Tech, Michigan State University, University of Michigan, and Wayne State University. He holds a bachelor’s degree in Political Science, a Master of Public Administration degree, and an all-but-dissertation in Public Policy, Public Administration, and American Government.

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Ian is the Manager of Enterprise Analytics at Signet Jewelers where he is responsible for growing the data visualization community at Signet which includes office in Akron, Ohio and Dallas, Texas. Ian obtained an undergraduate degree in Economics from Ohio Wesleyan University. Following graduation, he pursued his MBA at the University of Pittsburgh. Ian returned to his hometown of Akron, Ohio where he joined Signet Jewelers as a Financial Analyst. While at Signet, Ian has held a number of roles including Market Planner, Senior Data Analyst, and most recently Manager of Enterprise Analytics. Ian was first introduced to Data Visualization in 2015 and has not looked back.

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During this session, Saima will discuss AAM's Global Digitization initiative and their decision to be a leader among the automotive manufacturing industry to embrace public cloud and the market-leading Snowflake data analytics platform that is redefining industry expectations. AAM's Digitization roadmap involves AAM moving 100% to the public cloud for analytics by 2021 without a massive ramp-up in either technology costs or staffing costs. Saima's unique approach for partnering with key Manufacturing and Engineering business leaders to enable the agile delivery of Data Science business-driven projects has earned her the highest respect of the AAM senior leadership team. She will discuss her technology stack, the AAM Digitization roadmap, and also some of the projects "in the queue" at AAM for 2020.

Saima Sattar, American Axle & Manufacturing

Saima Sattar the Director of IT - Digital & Analytics at American Axle & Manufacturing. She is an experienced global digital transformation and enterprise technology leader who has successfully developed and executed digital roadmaps aligned with corporate objectives for multibillion-dollar manufacturing organizations.

Dean Sutherland is the Regional Vice President of Sales, Midwest at Celonis, the leader in operationalizing process change for business transformation. As RVP, Dean is responsible for managing Celonis' Midwest sales team.

Before he joined Celonis, Dean spent 11 years at Qlik and was Managing Director for the Great Lakes Region. He's also held roles at Turbonomic, Human Resource Management Center, and Siemens PLM and has a Bachelor of Science in Marketing, Communications, and Computer Science from Eastern Michigan University.

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As true with any other manufacturing company, Meritor also spends lot of time in collecting the data but very little time to use the data for meaningful insights and decision making. This journey is about reversing that trend and give business the data insights which help them in making better and informed decision. This session is about how Meritor’s analytics journey started and what the road blocks were on the way and how we overcame those. We will talk about how we are using agile methodology to deliver quick data insights. We also talk about how we are going to empower our business users to make them self-sufficient in their data needs.

Presented by Khuzema Tikiwala, Meritor

Khuzema Tikiwala is currently working as Solution Architect – Analytics and BI at Meritor Inc. He did his BS in Mechanical Engineering and MBA in Finance. During his 27 years of professional career he has worked in various capacities as Manager, Technical Leader, Solution Architect and Developer. His areas of expertise include Data & Analytics, Business Intelligence, Data Warehouse, Data Integration, Data Governance, and Application Development (Web & Mobile) across various verticals. He believes in “Let our data guide us in providing meaningful insights needed to fuel success”. His focus in Meritor is on building a solid Analytical Platform and help take the organization to next level of technology including but not limited to Predictive Analytics, IoT, AI, Machine Learning and Smart Factories. He is always looking for community service opportunities. He is associated with various non-profit organizations as a volunteer.

Austion is a 15 year Informatica veteran with over 25 years of data integration, decision support and business intelligence experience, and has worked with customers across all Informatica products and solutions.

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