Organizational Chart of a Manufacturing Firm Board Board member member Board Board member member Board Board member member Board Board member member Chief Chief Executive Executive Officer Officer Legal Legal counsel counsel President President V.P V.PSales/ Sales/ Marketing Marketing Industrial Industrial Products Products DirectorDirectorSales Sales Western Western Region Region Industrial Industrial Products Products Sales Sales Manager Manager V.P V.PHuman Human Resources Resources Industrial Consumer Industrial Consumer Products Products Products Products DirectorDirectorDirectorDirectorHuman Sales Human Sales Resources Resources Eastern Eastern Region Region Industrial Industrial Products Products Sales Sales Manager Manager Consumer Consumer Products Products DirectorDirectorHuman Human Resources Resources V.P V.P Production Production Industrial Industrial Products Products DirectorDirectorProduction Production V.P V.PResearch Research and Development and Development Consumer Consumer Industrial Industrial Consumer Consumer Products Products Products Products Products Products DirectorDirectorDirectorDirectorDirectorDirectorProduction R&D Production R&D R&D R&D Western Western Eastern Eastern Region Region Region Region Consumer Consumer Consumer Consumer etc. Products Products etc. etc. etc. etc. etc. etc. etc. Products Products Sales Sales Sales Sales Manager Manager Manager Manager etc. etc. etc. etc. etc. etc. etc. etc. etc. etc. etc. etc.
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DAT 7.1 Multivariate Regression Analysis Description Multivariate regression is a statistical approach used to quantify the sign and magnitude of the relationship between a focal dependent variable (marketing outcome in our context) and several independent variables (e.g., marketing efforts). When to Use It • To determine how one of multiple marketing interventions incrementally affects observed marketing outcomes. • To compare the effects of multiple marketing interventions on marketing outcomes. • To predict the likely market outcomes due to various combinations of marketing interventions. How it Works The purpose of multivariate regression is to capture the statistical association between a focal marketing outcome of interest (e.g., sales, loyalty, CLV, profitability) and several marketing interventions that simultaneously may affect the focal outcome (e.g., relationship marketing efforts, marketing mix). Performing a multivariate regression enables five important discoveries. First, we can discern whether a particular marketing intervention truly influences a marketing outcome. That is, a multivariate regression can provide statistical validation of the significance of the impact of a certain marketing intervention. Second, we learn the sign of the relationship between a marketing invention and a marketing outcome. In some cases, the sign is wellknown a priori (e.g., as the price increases, sales decrease), but in others, it remains unclear. For example, a firm may not know whether a financially oriented relationship marketing program offering free shipping ultimately increases CLV. The regression can help the firm verify the sign of the relationship. Third, a multivariate regression helps researchers compare the relative strength of multiple marketing interventions. For example, a firm may need to know which of its social, structural, or financial relationship marketing efforts are most and least influential, and this determination is enabled by a regression. Fourth, with a multivariate regression, we can control for confounds while gauging the relationship between marketing interventions and marketing outcomes. For example, while trying to understand the relationship between financial relationship marketing efforts by a supplier firm devoted to a buyer firm and marketing outcomes earned from this buyer firm, we might control for the buyer firm’s size, because larger firms typically buy more, regardless of whether they receive marketing interventions. Fifth and finally, multivariate regression enables predictions of the marketing outcomes following from various scenarios of marketing interventions, which is useful in scenario analysis. If the marketing outcome is given by Y, and we have three marketing interventions (X1, X2, and X3), and two confounds (Z1, and Z2), the formula is given by:   where to are the coefficients (or weights) that capture the sign and strength of the relationship between the marketing interventions and the marketing outcome, and is a random error term. In most cases, we would have data about past outcomes and marketing inventions/confounds, then rely on software such as SAS or SPSS to provide the sign, strength, and statistical significance of the coefficients.   53
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NV Manufacturing Cluster NAICS Code 311 312 313 314 315 316 321 322 323 324 325 326 327 331 332 333 334 335 336 337 339 Description 1,328 154 212 349 94 50 675 204 1,762 106 404 2,070 1,203 548 3,366 1,072 2,930 1,739 126 22 179 91 22 524 345 1,149 157 613 1,192 822 653 2,802 943 2,328 2011 Average Earnings $57,382 $65,605 $30,691 $47,027 $15,349 $32,253 $56,857 $63,081 $63,866 $157,491 $97,538 $66,129 $82,232 $102,122 $66,184 $86,365 $86,993 374 201 $77,622 13 1,176 $74,086 490 $60,973 3,444 $104,242 42 54 95 2002 Jobs 2011 Jobs Food Manufacturing Beverage and Tobacco Product Manufacturing Textile Mills Textile Product Mills Apparel Manufacturing Leather and Allied Product Manufacturing Wood Product Manufacturing Paper Manufacturing Printing and Related Support Activities Petroleum and Coal Products Manufacturing Chemical Manufacturing Plastics and Rubber Products Manufacturing Nonmetallic Mineral Product Manufacturing Primary Metal Manufacturing Fabricated Metal Product Manufacturing Machinery Manufacturing Computer and Electronic Product Manufacturing Electrical Equipment, Appliance, and Component Manufacturing Transportation Equipment Manufacturing Furniture and Related Product Manufacturing Miscellaneous Manufacturing 1,399 856 3,833 Total 22,991 19,017 $79,021 2011 Establishments 62 3 3 18 2 4 28 13 65 7 30 45 43 13 157 54 68 817
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Milwaukee Public Schools: Another Way to Differentiate: Parallel Tasks MPS Board of School Directors Dr. Michael Bonds, President Larry Miller, Vice President Mark Sain, District 1 Jeff Spence, District 2 Annie Woodward, District 4 Dr. Peter Blewett, District 6 David Voeltner, District 7 Meagan Holman, District 8 Terrence Falk, At-Large Senior Team Dr. Gregory Thornton, Superintendent Naomi Gubernick, Chief of Staff Darienne Driver, Chief Innovation Officer Tina Flood, Chief Academic Officer Dr. Karen Jackson, Chief Human Resources Officer Michelle Nate, Chief Operations Officer Gerald Pace, Esq., Chief Financial Officer Anita Pietrykowski, Chief School Administration Officer Denise Callaway, Executive Dir., Community Engagement Patricia Gill, Executive Director, Family Services Sue Saller, Exec. Coord., Superintendent’s Initiatives
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Milwaukee Public Schools: Protocol for Examining Student Work MPS Board of School Directors Dr. Michael Bonds, President Larry Miller, Vice President Mark Sain, District 1 Jeff Spence, District 2 Annie Woodward, District 4 Dr. Peter Blewett, District 6 David Voeltner, District 7 Meagan Holman, District 8 Terrence Falk, At-Large Senior Team Dr. Gregory Thornton, Superintendent Naomi Gubernick, Chief of Staff Darienne Driver, Chief Innovation Officer Tina Flood, Chief Academic Officer Dr. Karen Jackson, Chief Human Resources Officer Michelle Nate, Chief Operations Officer Gerald Pace, Esq., Chief Financial Officer Anita Pietrykowski, Chief School Administration Officer Denise Callaway, Executive Dir., Community Engagement Patricia Gill, Executive Director, Family Services Sue Saller, Exec. Coord., Superintendent’s Initiatives
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UA Contacts Know Your Security and Privacy Officer: • University-wide Privacy Officer: Jan Chaisson • University-wide Security Officer: Ashley Ewing • University Medical Center Privacy Officer is Jan Chaisson • University Medical Center Security Officer is Amy Sherwood • Brewer Porch Privacy/Security Officer is Warren Williams • Speech and Hearing Privacy/Security Officer is JoAnne Payne • Autism Spectrum Disorders Clinic Privacy/Security Officer is Sarah Ryan • UA Group Health Plan/FSA Privacy Officer is Emily Marbutt • UA Group Health Plan/FSA Security Officer is Greg Gaddis • WellBAMA Program Privacy/Security Officer is Heather Clayton • Working on Womanhood Program (WOW) Privacy/Security Officer is Jill Beck • Center for Advanced Public Safety (CAPS) Privacy/Security Officer is Vaughn Poe • Institutional Review Board Compliance Officer is Tanta Myles • College of Education Alabama Medicaid Agency Project Privacy/Security Officer: Rick Houser INTERNAL USE ONLY 32
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Task Force Members Sunny Cooke (Chair) Chief Executive Officer Lynn Shaw (Vice-Chair) Faculty - CTE Craig Justice Chief Instructional Officer Mollie Smith CTE Dean Bill Scroggins Chief Executive Officer Julie Bruno Faculty – General Education Ricardo Navarette Chief Student Svcs Officer Rachel Mullin Student/Veteran Carole Goldsmith Chief Executive Officer Toni Parsons Faculty – Basic Education Kuldeep Kaur Chief Business Officer Linda Wah Trustee Lynell Wiggins Faculty - Counselor
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UA Contacts Know Your Security and Privacy Officer • University-wide Privacy Officer: Jan Chaisson • University-wide Security Officer: Ashley Ewing • University Medical Center Privacy Officer: Jan Chaisson • University Medical Center Security Officer: Amy Sherwood • Brewer Porch Privacy/Security Officer: Warren Williams • Speech and Hearing Privacy/Security Officer: JoAnne Payne • Autism Spectrum Disorders Clinic Privacy/Security Officer: Sarah Ryan • UA Group Health Plan/FSA/WellBama Privacy Officer: Emily Marbutt • UA Group Health Plan/FSA/WellBama Security Officer: Greg Gaddis • Working on Womanhood Program (WOW) Privacy/Security Officer: Jill Beck • Center for Advanced Public Safety (CAPS) Privacy/Security Officer: Vaughn Poe • Institutional Review Board Compliance Officer: Tanta Myles • College of Education Alabama Medicaid Agency Project Privacy/Security Officer: Rick Houser INTERNAL USE ONLY
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Security Planning: An Applied Approach | 03/18/19 | 44 C-Level Security Chief Information Officer (CIO): heads IT with main concern: providing computing service and performance Chief Information Security Officer (CISO): heads information security with main concerns: security, privacy and regulation •Since both compete for resources and attention, it is best if they both report directly to executive management, instead of one reporting to the other. Chief Security Officer: responsible for physical security: guards, close circuit TV, etc. Chief Risk Officer (CRO): calculates, monitors and controls risk for an organization Chief Privacy Officer (CPO):protects customer and employee privacy Chief Compliance Officer (CCO): ensures the organization complies with policy and regulation Alternatively, many positions may be wrapped into one CISO job, sometimes called: Information Security Manager
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NV Manufacturing Cluster NAICS Code Description 2002 Jobs 2002 LQ 2011 LQ 339 Miscellaneous Manufacturing 3,833 2.34 2.34 326 Plastics and Rubber Products Manufacturing 2,070 1.10 0.88 323 Printing and Related Support Activities 1,762 1.08 1.03 327 Nonmetallic Mineral Product Manufacturing 1,203 1.04 1.01 332 Fabricated Metal Product Manufacturing 3,366 0.99 0.95 334 Computer and Electronic Product Manufacturing 2,930 0.90 0.96 314 Textile Product Mills 349 0.75 0.68 337 Furniture and Related Product Manufacturing 856 0.62 0.60 321 Wood Product Manufacturing 675 0.52 0.65 331 Primary Metal Manufacturing 548 0.50 0.78 333 Machinery Manufacturing 1,072 0.40 0.41 311 Food Manufacturing 1,328 0.39 0.55 336 Transportation Equipment Manufacturing 1,399 0.35 0.40 335 Electrical Equipment, Appliance, and Component Manufacturing 374 0.34 0.25 325 Chemical Manufacturing 404 0.20 0.35 22,170 0.68 0.73 Total
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Legal and Insurance Coverage: You are covered by Trinity’s law firm and insurance policies so long as you follow policies. • If a student makes a legal threat, report that immediately to President McGuire who is the liaison with Trinity’s law firm. • Trinity’s legal counsel will advise and represent you in legal matters related to your work at Trinity. Please let the President or Provost know if you have questions about legal issues or feel a need to consult with our legal counsel. • Our insurance company will refuse to cover claims if you negligently or willfully ignore stated policies. • You may not sign any contracts on Trinity’s behalf. All academic contracts should go to the Provost who will review them with the President. Regulatory: Matters involving federal, state or local regulatory agencies, accreditors, law enforcement and background checks: • All official Trinity compliance activities, reports, accreditation or regulatory activity go through the President. • Governmental officials who call or show up for investigations and background checks should be sent to Security or HR. • You are responsible to observe FERPA, HIPPA and other regulations concerning the privacy of student information. References: Faculty members may provide standard academic letters of recommendation for students in their major programs or in related cases where the faculty member can support a student’s application for advanced study or academic recognition. 36 Trinity has a firm policy that prohibits faculty, administrators or staff from serving as employment references for other faculty, administrators or staff without the specific consent of the Director of Human Resources. Significant claims against you and Trinity can arise from violations of this policy.
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DAT 8.1 Response Models Description A response model is a statistical and mathematical model that captures the relationship between investments in marketing resources and outcomes. When to Use It • To discover the shape of the relationships between marketing efforts and performance. • To compare the effects of various marketing mix efforts on marketing outcomes. • To capture the effects of competitive marketing efforts on a focal firm’s outcomes. How it Works   Historical data contain insightful information about whether and how much marketing resources truly increase economic outcomes, which is useful to know when deciding on marketing actions in the future. A basic assumption is that past outcomes relate to future outcomes, which is reasonable most of the time, barring exceptions like recessionary periods. Using past data to uncover the relationship between marketing resources and performance, response models provide four main insights. First, they capture the shape of the relationship between marketing resources and outcomes, which is usually concave: Financial outcomes increase with increases in marketing resources but at a diminishing rate. Second, response models reveal exactly how much financial outcomes would change if marketing efforts increased by 1 percent, also known as marketing elasticity. Third, with a response model, marketing managers can figure out the relative impact of several resources and thereby allocate them optimally and in proportion to the effectiveness of the different activities. Fourth, response models help managers capture the effect of focal marketing efforts on outcomes while also controlling for competitive marketing efforts, which may increase the clutter in the market. If the marketing outcome is given by Y, and we have two marketing efforts (X1 and X2) by the focal firm, as well as competitor spending (Z1), the formula for a response model is given by Where the ln() term is the natural logarithm of all variables in the model, which captures the diminishing returns relationship between the outcome and the covariates, and are called the elasticities of marketing efforts, captures the % change expected in Y for a 1% change in X1, captures the % change expected in Y for a 1% change in X1, and captures the % change expected in Y for a 1% change in competitive efforts Z1, and is a random error term. With data about past outcomes and past marketing inventions, as well as confounds, software available from SAS or SPSS can determine the sign, strength, and statistical significance of the coefficients.   © Palmatier 26
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UA Contacts Know Your Security and Privacy Officer • University-wide Privacy Officer: Jan Chaisson • University-wide Security Officer: Ashley Ewing • University Medical Center Privacy Officer: Jan Chaisson • University Medical Center Security Officer: Amy Sherwood • Brewer Porch Privacy/Security Officer: Warren Williams • Speech and Hearing Privacy/Security Officer: JoAnne Payne • Autism Spectrum Disorders Clinic Privacy/Security Officer: JoAnne Payne • UA Group Health Plan/FSA Privacy Officer: Emily Marbutt • UA Group Health Plan/FSA Security Officer: Greg Gaddis • Working on Womanhood Program (WOW) Privacy/Security Officer: Jill Beck • Center for Advanced Public Safety (CAPS) Privacy/Security Officer: Vaughn Poe • Institutional Review Board Compliance Officer: Tanta Myles INTERNAL USE ONLY 32
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IUC’s scope will focus on two functions (Finance and IT) Adherence to process definitions within the Hackett taxonomy is key to comparability; processes are defined end to end Selling and General Administrative Scope Finance Finance Human Human Resources Resources Sales* Sales* Executive Executive and and Corporate Corporate Services Services**  Total  Sales  General Cash Cash Disbursements Disbursements Total Rewards Rewards Administration Administration Sales Execution Execution General Administration Administration Management Management    Revenue Cycle Payroll Services Sales Operations   Travel and  Revenue Cycle Payroll Services Sales Operations Travel and Transportation Transportation Services Services  Planning  Real Accounting Accounting and and External External Reporting Reporting  Data Data Mgmt., Mgmt., Reporting Reporting & & Compliance Compliance Planning and and Strategy Strategy Real Estate Estate & & Facilities Facilities Management Management  Staffing  Function  Government Tax Tax Management Management Staffing Services Services Function Management Management Government Affairs Affairs  Labor  Legal Treasury Treasury Management Management Labor Relations Relations Legal  Workforce  Quality Compliance Compliance Management Management Workforce Development Development Services Services Service* Quality Management Management Service*  Organisational  Planning Risk  Order  Planning & & Performance Performance Management Management Organisational Effectiveness Effectiveness Risk and and Security Security Management Management Order and and Contract Contract Management Management (OTC) (OTC)  Total  Corporate Fiscal Communications  Service Fiscal Analysis Analysis Total Rewards Rewards Planning Planning Execution Corporate Communications Service Execution  Strategic  Planning Function  Service Function Management Management Strategic Workforce Workforce Planning Planning Planning and and Strategy Strategy Service Operations Operations  Function  Executive Office  Planning Function Management Management and Strategy Executive Office Planning and Strategy  Function Function Management Management Information Technology          Information Technology            Infrastructure Infrastructure Management Management End End User User Support Support Infrastructure Infrastructure Development Development Application Application Maintenance Maintenance Application Application Development Development & & Implement. Implement. Quality Quality Assurance Assurance Risk Risk Management Management IT IT Business Business Planning Planning Enterprise Enterprise Architecture Architecture Planning Planning Emerging Emerging Technologies Technologies Function Function Management Management Procurement Procurement            Supply Supply Data Data Management Management Requisition Requisition and and PO PO Processing Processing Supplier Scheduling Supplier Scheduling Receipt Receipt Processing Processing Compliance Compliance Management Management Customer Customer Management Management Sourcing Sourcing Execution Execution Supplier Supplier Management Management and and Development Development Sourcing Sourcing & & Supply Supply Base Base Strategy Strategy Function Function Strategy Strategy and and Performance Performance Management Management Function Function Management Management Marketing* Marketing*      Marketing Marketing Communication Communication Brand Brand and and Product Product Management Management Planning and Planning and Strategy Strategy Market Market Research Research and and Analytics Analytics Function Management Function Management Capture FTEs and Costs as defined regardless of where they are organizationally located
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Shift-Share Analysis by Top Industry Sectors Chemicals Cluster Industries National Trend, Jobs 2014 20092014 A Industry Cumulativ Actual Job Regional Trend, e Growth, Performan 2009- Expected 2009- ce, 20092014 Growth 2014 2014 B C=A+B D D-C Pharmaceutical Preparation 3,068 142 -246 Manufacturing Other Pressed and Blown Glass and 482 31 -32 Glassware Manufacturing All Other Plastics Product 211 22 7 Manufacturing Artificial and Synthetic Fibers and 206 5 -8 Filaments Manufacturing Plastics Bottle Manufacturing 106 3 -5 Petroleum and Petroleum Products Merchant Wholesalers (except Bulk 67 8 -5 Stations and Terminals) Rubber and Plastics Hoses and 59 8 4 Belting Manufacturing All Other Rubber Product 47 1 0 Manufacturing Industrial Gas Manufacturing 47 1 -1 Plastics Material and Resin 46 8 -3 Manufacturing Ready-Mix Concrete Manufacturing 45 4 -7 All Other Miscellaneous Chemical Product and Preparation 40 14 2 Manufacturing Note: Upward arrow ( Pouch ) indicates regional competitiveness. Plastics Bag and Manufacturing 33 4 -4 Cut Stone and Stone Product 33 2 3 Manufacturing section 02 Plastics and 2015.4 Basic Forms ​Source: EMSIMaterials Class of Worker (QCEW, non-QCEW, self-employed and extended proprietors). 26 4 -1 and Shapes Merchant Wholesalers -104 855 959 -1 2 3 29 -133 -162 -3 130 133 -2 66 68 3 -53 -56 12 -67 -79 1 27 26 0 25 25 5 -86 -91 -3 -11 -8 16 -176 -192 0 -23 -23 5 0 -5 3 -32 -35 11
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Top Industry Sectors Chemicals Cluster Exports 2013 Jobs 2013 ($ Millions) Industries Export per job 2013 ($) LQ 2014 Pharmaceutical Preparation Manufacturing $738.2 2,448 $301,594 27.5 Other Pressed and Blown Glass and Glassware Manufacturing $105.4 537 $196,118 48.6 All Other Plastics Product Manufacturing $52.5 197 $266,405 1.4 Artificial and Synthetic Fibers and Filaments Manufacturing $78.8 184 $428,795 14.9 Plastics Bottle Manufacturing $32.8 110 $297,588 6.5 $6.1 70 $86,095 1.9 $11.6 63 $183,187 4.6 $5.8 32 $181,814 3.5 Industrial Gas Manufacturing $18.2 44 $410,973 4.7 Plastics Material and Resin Manufacturing $69.5 62 $1,129,280 1.5 $5.6 38 $146,572 0.9 All Other Miscellaneous Chemical Product and Preparation Manufacturing $25.4 52 $484,625 1.9 Plastics Bag and Pouch Manufacturing $11.7 28 $421,725 2.0 Cut Stone and Stone Product Manufacturing $2.1 38 $56,763 2.0 Plastics Materials and Basic Forms and Shapes Merchant Wholesalers $4.4 28 $160,704 2.1 Petroleum and Petroleum Products Merchant Wholesalers (except Bulk Stations and Terminals) Rubber and Plastics Hoses and Belting Manufacturing All Other Rubber Product Manufacturing Ready-Mix Concrete Manufacturing Note: Sorted similarly as the shift-share analysis slide section 02 ​Source: EMSI Class of Worker 2015.4 (QCEW, non-QCEW, self-employed and extended proprietors). 12
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LLUAHSC Strategic Planning Committee  LLUAHSC Executive Leadership - LLUAHSC President - LLUAHSC Executive Vice Presidents - President’s Council - Legal Council  Loma Linda University - Chancellor - Vice Chancellor Academic Affairs - University Deans Allied Health Professionals Dentistry Faculty Graduate Studies Nursing Pharmacy Public Health Religion School of Medicine SST - Faculty Advisory Group Chairperson  LLUMC - CEO - Hospital Administrators University Hospital Children’s Hospital East Campus BMC Surgical Hospital - Chief Financial Officer - Chief Nursing Officer - VP Medical Admin - Med Staff President - Vice Pres Quality & Safety - Chief Medical Information Officer - Chief Compliance Officer  Faculty Practice Plan - CEO - Executive Director of Finance - FPS Chairs - FMG Chairs - Legacy Corporation .
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The The Corporate Corporate Form Form of of Organization Organization Stockholders Illustration 11-1 Corporation organization chart Chairman and Board of Directors President and Chief Executive Officer General Counsel and Secretary Vice President Marketing Treasurer 11-15 Vice President Finance/Chief Financial Officer Vice President Operations Vice President Human Resources Controller SO 1 Identify and discuss the major characteristics of a corporation.
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Understanding the Equity Summary Score Methodology 6 Using the Equity Summary Score 7 2. Symbol‐specific Analyst Opinions Page. 1. Equity Summary Score Firms: This is a list of the independent research firms included in the Equity Summary Score. The standardized opinion and StarMine Relative Accuracy Score is provided for each firm. Click on the “?” icon for definitions 2. Equity Summary Score: The Equity Summary Score is the consolidated, accuracy‐weighted indication of the independent research firms’ sentiment for this stock. Click on “Methodology” to learn more on how StarMine calculates the score. 3. Equity Summary Score Performance and History: View 12 month history and associated price performance. 4. All Opinions: This is a list of all available opinions for this stock on Fidelity.com. Columns are sortable. On the list, you will find: • The name of the firm, designated with an “(i)” when firm is independent. You can click the firm name to view opinion history and performance. • The firm’s standardized opinion. The dot in the colored bar indicates the firm is included in the Equity Summary Score. Investars, a third‐party research firm, collects and standardizes opinions using a five‐point scale to make it easier for you to compare firm opinions. • The 1 Year History line shows if the firm’s standardized opinion has changed over the last year. Click for full chart and access details. • The StarMine Relative Accuracy Score, a measure of the relative historical accuracy of the firm’s opinions in the stock’s sector among its peers over the last 24 months. • The date and current firm’s non‐standardized opinion. You can change the view to see the last time the opinion changed and if it was an upgrade or downgrade. • A link to the latest research report (in PDF format) is available from firms Fidelity may distribute. 5. Intraday Opinions: Opinions provided on this page are from the previous trading day. Opinion changes issued during the current trading day will be listed above the All Opinions table. 6. Research Firm Scorecards and Explore Research Firms: These scorecards evaluate the performance of independent research firm ratings over time, individually and in aggregate. They help you to understand and compare the historical accuracy of recommendations. Explore Research Firms helps you understand the varying objectives, styles, and approaches of the research that Fidelity offers.
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Civil, Mechanical, and Manufacturing Innovation (CMMI) Division Division Director Director Interdisciplinary Interdisciplinary and and Cross-Divisional Cross-Divisional Activities Activities Bruce Bruce Kramer Kramer Advanced Advanced Manufacturing Manufacturing Manufacturing Manufacturing and and Construction Construction Machines Machines and and Equipment Equipment George George Hazelrigg Hazelrigg Manufacturing Manufacturing Enterprise Enterprise Systems Systems Russell Russell Barton Barton Materials Materials Processing Processing and and Manufacturing Manufacturing Mary Mary Toney Toney Nano Nano Manufacturing Manufacturing Charalabos Charalabos (Haris) (Haris) Doumanidis Doumanidis Steven Steven McKnight McKnight Deputy Deputy Director Director George George Hazelrigg Hazelrigg Resilient Resilient and and Mechanics Mechanics and and Sustainable Sustainable Engineering Engineering Materials Materials Infrastructures Infrastructures Systems Systems Engineering Engineering and and Design Design Control Control Systems Systems Eduardo Eduardo Misawa Misawa Biomechanics Biomechanics and and Mechanobiology Mechanobiology Dennis Dennis Carter Carter Civil Civil Infrastructure Infrastructure Systems Systems Konstantinos Konstantinos Triantis Triantis Dynamical Dynamical Systems Systems Eduardo Misawa Eduardo Misawa Geomechanics Geomechanics and and Geomaterials Geomaterials Richard Richard Fragaszy Fragaszy NEES NEES Research Research Joy Joy Pauschke Pauschke Engineering Engineering Design Design and Innovation and Innovation Christina Christina Bloebaum Bloebaum Materials Materials and and Surface Surface Engineering Engineering Clark Clark Cooper Cooper Geotechnical Geotechnical Engineering Engineering Richard Richard Fragaszy Fragaszy Operations Operations Research Research Michael Michael Fu Fu Hazard Hazard Mitigation Mitigation and and Structural Structural Engineering Engineering M.P. M.P. Singh Singh Sensors Sensors and and Sensing Sensing Systems Systems Shih Shih Chi Chi Liu Liu Mechanics Mechanics of of Materials Materials Glaucio Paulino Glaucio Paulino Structural Infrastructure Structural Materials Materials and and Infrastructure Mgmt. Mgmt. Mechanics and Mechanics and Extreme Extreme Events Events Directorate for Engineering Grace Dennis Grace Hsuan Hsuan Dennis Wenger Wenger Service Service Enterprise Enterprise Systems Systems14 Russell Russell Barton Barton
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Data Governance Council Membership Examples UW-Madison Stony Brook Chief Data Officer Director of Univ. Communications VP for Teaching & Learning VP for Diversity AVC Business Services AVC Legal Affairs Assoc. Dean Biomedical Informatics VP Libraries CISO Campus Records Officer Assoc. Dean Education Faculty/Dean Representation Chief Institutional Research Officer Analytics and Enterprise Data Officer University Controller Chief Enrollment Management Officer University Registrar Chief Financial Aid Officer Provost’s Office designee VP Student Affairs designee VP Administration designee VP Human Resources designee VP Information Technology designee VP Research designee SVP Health Sciences Designee University Senate designee Chairs & Vice Chairs of FDGCs (6 people) 38
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