Recognized Analytics Dashboard Leaders 2025

Data Analyst | Turning Data into Actionable Insights Expert in data visualization, reporting, and uncovering trends that drive smarter business decisions.

A data-analytics entrepreneur, thought-leader and the Founder & CEO of Perceptive Analytics - a company that helps businesses turn raw data into actionable insights, smart marketing decisions, and clear visual analytics. With an MBA from ISB and advanced training from Stanford’s Graduate School of Business, he brings together strong academic grounding and real-world business experience. Prior to founding his own venture in 2010, he sharpened his analytical and consulting skills at top firms including Infosys. Over the years, he has helped global clients, including Fortune-500 firms unlock value from their data, driving growth, optimization, and intelligent decision-making. Under his leadership, Perceptive Analytics has been recognized among the “top analytics companies to watch.” Passionate about data, strategy and storytelling with numbers, he firmly believes in empowering businesses to make smart, evidence-based decisions.

I can help with making images or interactive visualizations of data that you would like to include in your story. That's what our software does so it would be relatively easy.

I am a data analytics and business intelligence professional with more than five years of experience helping organizations turn complex data into clear, practical business decisions. In my current role as a Senior Analytics Solutions Associate at JPMorgan Chase, I work across analytics strategy, executive reporting, data visualization, forecasting, automation, and decision-support solutions within a highly regulated financial-services environment. My expertise includes financial data analytics, business intelligence, predictive modeling, risk analytics, data governance, responsible AI, dashboard strategy, and process optimization. I have experience building scalable analytical solutions using SQL, Python, Tableau, Databricks, Alteryx, Sigma, and Excel, with a focus on improving data quality, reducing manual work, and delivering insights that leaders can act on. My broader research and writing examine how financial institutions can adopt AI and advanced analytics responsibly without compromising transparency, governance, regulatory compliance, or human accountability. I am particularly interested in the business risks created by poor data quality, weak model oversight, ineffective automation, and disconnected decision-making.

I am a data analytics and business intelligence professional with more than 6 years of experience helping organizations turn complex data into clear, practical business decisions. In my current role as a Senior Analytics Solutions Associate at JPMorgan Chase, I work across analytics strategy, executive reporting, data visualization, forecasting, automation, and decision-support solutions within a highly regulated financial-services environment. My expertise includes financial data analytics, business intelligence, predictive modeling, risk analytics, data governance, responsible AI, dashboard strategy, and process optimization. I have experience building scalable analytical solutions using SQL, Python, Tableau, Databricks, Alteryx, Sigma, and Excel, with a focus on improving data quality, reducing manual work, and delivering insights that leaders can act on. My broader research and writing examine how financial institutions can adopt AI and advanced analytics responsibly without compromising transparency, governance, regulatory compliance, or human accountability. I am particularly interested in the business risks created by poor data quality, weak model oversight, ineffective automation, and disconnected decision-making.

Mrs. Durga Chavali is an internationally recognized IT healthcare leader and AI researcher with nearly two decades of experience and a proven track record of implementing enterprise-level technology strategies that improve efficiency, drive digital transformation, and enable data-driven decision-making. She is the proven leader in implementing complex, high-stakes healthcare IT projects with significant ROI, guiding enterprise-level initiatives from concept to execution, and enabling organizations to make informed decisions that optimize operations, reduce risk, and enhance financial and clinical outcomes. Ms. Chavali is a Doctor of Health Care Administration and a results-driven healthcare IT executive who consistently delivers measurable improvements in clinical outcomes, operational efficiency, and financial performance by making strategic, data-informed decisions that optimize enterprise-level processes and drive organizational success. She has been honored with the Fellow Honorary of IETE, Distinguished Fellow of SCRS, and Honorary Inducted Member of Phi Kappa Phi. Mrs. Chavali has been recognized for thought leadership through publications in leading healthcare and AI journals and business magazines, translating complex research into actionable strategies that improve patient outcomes, operational efficiency, and financial performance in enterprise healthcare settings. Mrs. Chavali is also a trusted advocate and coach in the AI era, leveraging a strong research background to guide organizations in adopting innovative AI-driven strategies and driving business transformation toward measurable success Mrs. Chavali is an award-winning healthcare IT leader, recognized with the Inspera and ITA Awards for Distinguished Research and Breakthrough Innovation, pioneering innovative solutions that integrate research and industry expertise to drive AI-powered analytics, predictive insights, and compliance automation, delivering measurable improvements in care quality, operational efficiency, and financial outcomes. Ms. Chavali has been further recognized by the most popular and high-circulation media and featured in respected industry publications such as TechBullion and TechTimes, leveraging published insights on healthcare IT, AI, and data-driven innovation to influence cross‑industry discourse and drive enterprise‑level transformation. Mrs. Chavali contributes to organizations such as IEEE and ACM and supports the community through her expertise.

I turn complex data into clear decisions — building platforms that don't just work, but transform how organizations think

Data and analytics executive with 15+ years of experience leading teams and building data-driven solutions across enterprise organizations. Currently Sr Director of Data Transformation by day, and founder of Brighten — an AI-powered employee recognition and onboarding platform built for small and mid-size businesses. MBA, Six Sigma Black Belt, and deep expertise in AI enablement, business intelligence, marketing analytics, and process improvement. Available to comment on HR technology, employee engagement, onboarding best practices, AI in the workplace, SMB operations, data strategy, and analytics leadership.

Apryl Boyle is one of the world's most compelling voices at the intersection of ocean science, surfing, and strategic data. A lifelong surfer, she established herself as a globally recognized ocean authority and scientific storyteller through her pioneering research into marine life, which has been featured across major platforms including National Geographic and Discovery’s Shark Week. She is the author of How to Surf Like a California Girl, and the expert media outlets call on for a data-driven perspective on ocean conservation, coastal ecosystems, and the mental game of surfing. Uniquely, Apryl couples this deep scientific knowledge with an Executive AI Strategy background. As an MIT-certified leader, she specializes in translating complex data—from Media Mix Models to predictive analytics—into clear commercial insights. She is the definitive authority who can bridge the gap between rigorous scientific method and executive business strategy.

My name is Matthew Redford and I founded DATA HIT in 2024 with the goal of providing an effective data and optimisation resource to small to medium sized businesses. Our primary service areas are consultancy, tracking implementation, conversation rate optimisation, and insights / reporting. With over 15 years of experience, I have gained a wealth of experience working in technical and marketing teams across a number of reputable agency and client side roles. Away from my main career path I have also founded a number of successful web-based businesses.

Here's a tightened version optimized for Connectively's journalist-facing format: Andrea Yzeiri is the Chief Data & Analytics Officer and Lead AI Engineer at Picsume, a hiring platform modernizing talent representation through AI-driven matching and bias-free recruitment. With over a decade of experience across technology, healthcare, academia, and defense, she specializes in building ethical, scalable AI systems with a focus on fairness, transparency, and cybersecurity. Named one of the Top 25 Women Chief Data and Analytics Officers in North America by Women We Admire, Andrea is a recognized expert in AI governance, bias mitigation, and algorithmic accountability, making her a trusted voice for journalists covering AI ethics, responsible tech, and the future of work. She holds three degrees: a BComm in Supply Chain & Analytics and a BA in Political Science from the University of Windsor, and a Master of Management in Analytics from McGill University. A trailblazer at Windsor, she was the first woman to complete an undergraduate thesis at the Odette School of Business and the first student to receive the Mitacs Globalink Research Award, conducting research in São Paulo, Brazil. Beyond her executive role, Andrea lectures at McGill University, serves on the MMA Industry Advisory Board, and has spoken at Google Dev Fest Windsor and STEM Fellowship's High School Big Data Challenge. She is a passionate advocate for women in STEM and responsible AI adoption. Andrea is available to comment on: AI ethics & governance, bias in machine learning, cybersecurity for startups, the future of hiring & HR tech, and women in data & STEM.

Data Science Leader driving scalable analytics solutions | I specialize in transforming complex business challenges into actionable data solutions. Currently leading Glassdoor's data science initiatives across Jobs and Notifications verticals, where we develop sophisticated models and analytics frameworks to enhance user experience and drive business growth.Key Focus Areas:Building & scaling high-performing data science teamsStatistical modeling & predictive analyticsProduct analytics & experimentationData pipeline optimizationCross-functional strategy developmentPublished researcher in Data Science and AI | Expertise in turning data insights into business impact | Passionate about mentoring next-gen data scientists

Basem Fawzy is a Power BI consultant, data analytics expert, and founder of Data Pivot Consulting, a firm that helps organizations transform raw data into actionable business intelligence. With over a decade of experience in data analytics, business intelligence, and digital transformation, he specializes in helping companies implement Power BI solutions that improve decision-making, increase operational efficiency, and unlock measurable ROI from their data. Basem has delivered analytics solutions for more than 200 organizations across multiple industries, including finance, operations, marketing, and technology. His work focuses on designing scalable data models, building executive dashboards, and implementing analytics frameworks that enable leadership teams to track performance and make data-driven decisions with confidence. In addition to consulting, Basem is an experienced educator who has trained over 100 professionals in Power BI and business intelligence. He frequently shares insights on data strategy, analytics implementation, and the business impact of modern BI tools. His expertise includes Power BI architecture, data modeling, dashboard design, analytics strategy, and business intelligence adoption within small and mid-sized organizations. Basem’s mission is to help organizations move beyond static reports and build intelligent analytics systems that turn data into a strategic advantage.

A curious Content Marketing Manager with a demonstrated history of working in a media monitoring and market research industry. Specializes in insights and continuously seeks ways to create an impact in the translation of data into meaningful and relatable stories for everyone.

Elizabeth (Liz) Ngonzi is a human-centered AI strategist, executive advisor, and educator who helps boards, executive teams, and institutions move AI from experimentation to accountable adoption. Her work focuses on strengthening human judgment, governance, workforce readiness, and institutional capability in the age of AI. She serves on the Board of Directors of the American Society for Artificial Intelligence (ASFAI) and is Founding Chair of its Ethics & Responsible AI Committee. She is also the Originator, Editor-in-Chief, and Founding Platform Architect of AI for Humanity: Human-Centered Strategies for Innovation and Impact, an AI-powered public-benefit platform and living anthology developed with ASFAI. Through this work, she convenes and synthesizes perspectives across governance, policy, technology, business, education, finance, and social impact. An Adjunct Assistant Professor at NYU’s Center for Global Affairs, Liz designs and teaches the AI for Impact professional learning series. She has taught at NYU since 2009 and, in fall 2026, contributed expert perspective to the ethics module of the AI @ NYU Primer, a university-wide learning experience for undergraduate students. Her teaching draws on her 1+1+AI=10™ methodology and SHINE™ Storytelling Framework to help professionals develop practical, ethical AI use cases and strengthen communication, collaboration, and accountable decision-making. Her perspectives on human-centered AI, governance, leadership, workforce transformation, and institutional innovation have appeared in or been featured by Fast Company, Benzinga, CNET, Chicago Tribune, NPR, Voice of America, Scientific American, MarketWatch, InformationWeek, and The NonProfit Times. With more than 25 years of cross-sector experience spanning technology, business, education, and social impact, Liz is available to comment on AI governance, institutional adoption, workforce transformation, AI and human judgment, responsible innovation, AI literacy, public trust, and strategic storytelling.

Analytics leader experienced in enhancing data driven decision making by creating new data products and services involving different domains in supply chain like finance, operations, sustainability, marketing, and corporate strategy.

Our senior analytics expert Gabrijel spends his weekends by the beach and his weekdays behind the desk he loves website campaign analysis reporting and optimisation.

Stepan Kazaryan is a Business Management Consultant focused on digital presence, professional evaluation, and how public information shapes decision-making in modern business environments. His work centers on helping organizations and professionals understand how they are perceived before direct interaction occurs. In search-driven systems, evaluation often happens silently and quickly. Stepan advises clients on building structured digital foundations that support credibility over time. His approach emphasizes clarity, consistency, and responsible positioning rather than short-term visibility tactics. He works with executives, founders, and professional service providers who recognize that digital footprints influence trust, partnerships, and opportunity flow. By aligning websites, public profiles, and third-party references, Stepan helps create stable professional narratives that reduce uncertainty during evaluation. Rather than focusing on reactive measures, his advisory framework prioritizes preparation. This includes analyzing how search results present a name, how information connects across platforms, and how inconsistencies affect perception. The goal is to strengthen long-term positioning in a way that feels natural and sustainable. Stepan frequently writes and speaks about digital identity, credibility signals, and the structural factors that influence professional trust in online environments. His perspective reflects a broader shift in how professionals are assessed in the age of search and public information accessibility. Through disciplined strategy and steady execution, Stepan Kazaryan helps clients maintain clarity in environments where perception often forms before conversation begins.

With over 17 years of experience in analytics and marketing, I live by the belief that "Data Inspires Strategy." I’ve built my career on transforming complex data into strategic direction - designing analytics frameworks, operational processes, and measurement systems that power business growth. As Vice President of Analytics at January Digital, I lead a multidisciplinary team of data engineers, scientists, and analysts dedicated to unlocking value from data. Our work spans media mix modeling, attribution, predictive modeling, and experimentation - all underpinned by emerging AI capabilities. Today, I’m focused on integrating AI agents and generative intelligence into analytics workflows to enhance insight generation, automate reporting, and elevate decision-making speed and quality. Beyond my role at January Digital, I’m passionate about developing future analytics leaders. I teach as an adjunct instructor at SMU and serve on both the Women in Leadership Advisory Council and the AMA DFW Executive Board as EVP of Analytics. My goal - in every setting - is to bridge data, technology, and strategy to shape smarter, more resilient organizations.