Mavent Analytics

Mavent Analytics

Business Consulting and Services

Warrenville, IL 8,783 followers

Making analytics achievable

About us

Mavent Analytics (formerly Maven Advisors) is a data, analytics and talent consulting firm that transforms companies through analytics excellence. Since 2008, we’ve been making analytics achievable for companies at any stage of data maturity. We specialize in analytics strategy, delivery, program oversight, and talent planning and acquisition. We bring people, process, data and technology together to create lasting business value for companies seeking greater insight, control and growth. For clients across industries, our deep analytics experience and expansive talent network deliver efficient, high-impact outcomes, with less risk, across the full continuum of their analytics journey. Data analytics is all we do. We serve companies across retail/CPG, food, manufacturing, financial services, technology, health and life sciences, and other industries.

Industry
Business Consulting and Services
Company size
11-50 employees
Headquarters
Warrenville, IL
Type
Privately Held
Founded
2008
Specialties
business intelligence, data warehousing, big data, BI strategy, master data management, analytics competency centers, data analytics, talent recruiting, staffing, cloud analytics, data science, advanced analytics, data architecture, data governance, data integration, cloud modernization, consulting services, data quality, and performance management

Locations

Employees at Mavent Analytics

Updates

  • View organization page for Mavent Analytics, graphic

    8,783 followers

    This Thanksgiving, we at Mavent Analytics want to take a moment to express our heartfelt gratitude. To our clients, thank you for your trust in our expertise. To our partners, we are truly grateful for your collaboration and support. And to our incredible team, your unwavering dedication drives everything we do. Wishing you all a joyful, restful holiday filled with warmth and celebration. Happy Thanksgiving! #Gratitude #Thanksgiving #Teamwork #ClientAppreciation #Partnerships #MaventAnalytics

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  • View organization page for Mavent Analytics, graphic

    8,783 followers

    Are you maximizing the potential of your data to drive innovation within your organization? As a data leader, how do you navigate the complexities of fostering a data-driven culture? Mavent Analytics understands the challenges you face, from overcoming resistance to change to enabling data literacy. Our latest blog offers valuable insights and actionable strategies tailored for Chief Data Officers, Chief Analytics Officers, and other data analytics leaders. Explore our guide to discover how you can transform your organization into a data-driven powerhouse, enhancing decision-making and operational efficiency. Ready to take the next step? Read the blog here: https://lnkd.in/geB7Eghj. We’d love to hear your thoughts and experiences—share your perspective in the comments! We also invite senior data analytics leaders to join us at the upcoming Analytics Leaders Network event, "Analytics Unwrapped," where you can engage with peers and discuss strategies for building a data-driven culture. Don't miss this opportunity to collaborate and learn from fellow leaders! Register here: https://lnkd.in/g_fEV9-F. Your insights would be a valuable addition to the conversation! #DataDriven #DataAnalytics #DataLeaders #DataCulture #AnalyticsLeaders #MaventAnalytics #AnalyticsUnwrapped

    Building a Data-Driven Culture: A Guide for Data Analytics Leaders

    Building a Data-Driven Culture: A Guide for Data Analytics Leaders

    https://maventanalytics.com

  • View organization page for Mavent Analytics, graphic

    8,783 followers

    Mavent Analytics is excited to sponsor the upcoming Analytics Leaders Network holiday event - Analytics Unwrapped! Join us on Thursday, December 5th at Brookfield Zoo, for an evening of insightful discussions, peer networking, and festive cheer. This event offers a unique opportunity to connect with industry experts as we explore two crucial topics for the New Year: Cultivating Data-Driven Culture and Strategizing for Analytics in 2025. Don’t miss out—secure your spot today and raise a glass with us in celebration of another successful year in data analytics! #AnalyticsUnwrapped #DataAnalytics #DataDriven #NetworkingEvent #AnalyticsLeadership

    Analytics Unwrapped

    Analytics Unwrapped

    https://analyticsleaders.com

  • View organization page for Mavent Analytics, graphic

    8,783 followers

    Driving AI Success: 7 Key Factors for Meaningful Adoption! As the industry places greater emphasis on AI, many organizations are striving to achieve meaningful AI adoption but face significant challenges in realizing real value from their investments. The article "Seven Factors Driving AI Adoption" from KDnuggets offers valuable insights into overcoming these challenges with a strategic approach. Here are the key factors discussed: 1. Start with a Clear Vision: Align AI initiatives with core business objectives to drive tangible outcomes. 2. Investments in Data Infrastructure: Ensure access to clean and organized data through scalable, future-proof infrastructure. 3. Develop Cross-Functional Teams: Foster collaboration between data scientists, engineers, and business leaders for effective AI solutions. 4. Culture of Experimentation: Promote a flexible, innovative culture that embraces experimentation and learning from failures. 5. Ethical and Responsible AI: Build AI systems that are transparent and accountable, mitigating biases and ensuring trust. 6. Upskill Your Workforce: Invest in AI literacy and training to empower teams and enhance decision-making capabilities. 7. Continuous Journey: Approach AI projects as ongoing efforts, adapting to technological advancements and stakeholder feedback. At Mavent Analytics, we fully endorse all seven factors for success in AI adoption, but we place a strong emphasis on three critical building blocks: a sound strategic vision, robust data practices, and skilled personnel. A clear strategic vision provides direction and alignment across the organization, ensuring that AI initiatives are not just implemented but are effective and sustainable. Meanwhile, robust data practices are essential for ensuring high-quality data that feeds into AI systems, enabling accurate insights and decision-making. Finally, having skilled people with the right expertise is crucial in navigating the complexities of AI technologies and maximizing their potential. Our extensive experience in data and analytics consulting, coupled with our comprehensive talent services, positions us uniquely to guide organizations on their AI adoption journey. Visit our website to learn more about how we can support your AI initiatives and help you unlock the full potential of artificial intelligence in your organization – www.maventanalytics.com. #DataAnalytics #AIAdoption #BusinessStrategy #DataScience #AIConsulting #AITalent #MaventAnalytics

    Seven Factors Driving AI Adoption - KDnuggets

    Seven Factors Driving AI Adoption - KDnuggets

    kdnuggets.com

  • View organization page for Mavent Analytics, graphic

    8,783 followers

    Navigating the Tech Talent Shortage: Strategies for Success With today’s rapid evolution of technology, organizations must adapt and evolve to secure the talent necessary for growth and innovation. Here are four key strategies from a recent The Wall Street Journal article “4 Ways Leaders Can Navigate the Tech Talent Shortage”: 1. Continual Planning: Leaders should engage in ongoing workforce planning to anticipate and meet tech talent needs. This approach can result in a 10% increase in productivity and a 25% reduction in labor costs over five years, ensuring alignment between talent and organizational strategies. 2. Skills and Human Capabilities: It's crucial to balance technical skills with enduring human capabilities. A skills-based hiring approach, focusing on leadership, problem-solving, and creativity, can enhance business outcomes by 63%. 3. Ecosystem Approach: Embrace a flexible ecosystem model for talent management. This strategy allows for a broader reach, utilizing professional services, contractors, and freelancers, thus providing access to diverse and specialized skills. 4. Customized Experiences: Strengthen talent retention by fostering personalized experiences and inclusive microcultures. Encourage autonomy and innovation among tech talent, while promoting diversity, equity, and inclusion to build a supportive work environment. At Mavent Analytics, we emphasize the importance of strategic planning and a skills-based hiring approach with all of our clients. Our experience shows that identifying both current and future skill requirements is crucial for maintaining competitive advantage. Regularly updating job descriptions and career paths in data analytics and AI are essential in keeping pace with the rapidly evolving skills and competencies in these fields. Our data analytics expertise allows us to assess and enhance job descriptions to capture emerging expertise, ensuring your talent requirements stay ahead of industry trends. Our team has a proven track record in crafting strategic talent guides that define roles and map career paths within the larger data and AI ecosystem. As your trusted hiring partner, we are committed to advancing your 2025 recruitment strategy by efficiently filling essential full-time and contract positions that align with your organization's needs. Visit our website to discover how we can support your strategic talent planning: www.maventanalytics.com #AIHiring #WorkforcePlanning #SkillsDevelopment #TalentManagement #MaventAnalytics

    4 Ways Leaders Can Navigate the Tech Talent Shortage

    4 Ways Leaders Can Navigate the Tech Talent Shortage

    deloitte.wsj.com

  • View organization page for Mavent Analytics, graphic

    8,783 followers

    Evolving Roles of CDOs and CDAOs in the Age of AI As AI continues to rapidly evolve, Chief Data Officers (CDOs) and Chief Data and Analytics Officers (CDAOs) both face a pivotal moment. The recent CIO Online article “CDOs and CDAOs: Rethink your role or fade away” underscores the urgency for CDOs and CDAOs to redefine their roles to maintain their C-suite relevance. Here are the three main takeaways: 1. Demonstrating Business Value: CDOs and CDAOs must pivot from traditional data governance and compliance roles to actively showcasing their contribution to business outcomes. This involves aligning data strategies with corporate goals and illustrating their impact on AI projects. 2. Avoiding Turf Battles: As data-driven strategies become central to business operations, CDOs and CDAOs need to cultivate collaboration rather than competition with CIOs and other IT leaders. This approach can prevent internal conflicts and promote collective success in AI initiatives. 3. Evolving Roles: The role of the CDO/CDAO is transitioning from a compliance-focused position to a strategic partner. This evolution requires both CDOs and CDAOs to enhance their business acumen and interpersonal skills, ensuring they are seen as invaluable contributors to strategic decision-making. From Mavent Analytics' standpoint, this AI evolution is an opportunity for CDOs and CDAOs to harness data analytics to unlock new business opportunities and drive value across the organization. It is imperative for data analytics leaders to drive change and cultivate collaboration across departments to fully realize AI's potential by: > Building and nurturing strong relationships with CIOs and other key executives to enhance influence and visibility in AI projects. > Developing strategic data initiatives that align closely with overarching business objectives and customer demands. At Mavent Analytics, our consulting and talent services are designed to empower CDOs and CDAOs to navigate these challenges effectively. Discover how we can support your journey to becoming a transformative leader in data analytics by visiting our website at www.maventanalytics.com. #DataAnalytics #AI #DataLeadership #BusinessStrategy #CDO #CDAO #MaventAnalytics

    CDOs and CDAOs: Rethink your role or fade away

    CDOs and CDAOs: Rethink your role or fade away

    cio.com

  • View organization page for Mavent Analytics, graphic

    8,783 followers

    Creating a Data-Driven Culture: Unlocking Business Potential In today's rapidly changing business environment, adopting a data-driven culture is not merely advantageous - it is vital. InformationWeek's latest article, “How to Create a Data-Driven Culture for Your Business,” explores the significance of this approach and provides three strategic steps to help businesses achieve it. Why a Data-Driven Culture Matters: > Data-driven decision-making builds confidence among stakeholders by grounding choices in factual evidence. > It enhances organizational consistency, aligning decisions with strategic priorities. > By anticipating market trends, businesses can swiftly cater to customer needs, ensuring satisfaction and loyalty. Three Steps to Establish a Data-Driven Culture: 1. Assess Current Data Practices: Begin by understanding your organization's data landscape. Identify what data is available, how it's used, and where gaps exist. This foundational step is critical to shaping effective data strategies. 2. Align Goals with Data Objectives: Ensure that organizational goals are tightly aligned with data objectives. This alignment enhances decision-making and creates a feedback loop where data continuously informs strategy. 3. Invest in Data Infrastructure and Tools: Invest in scalable data infrastructure and modern analytics tools. This investment reduces data silos and enhances accessibility, ensuring that your organization can effectively leverage data for decision-making. At Mavent Analytics, we recognize the critical role of a structured approach in fostering a data-driven culture. This involves prioritizing data literacy among employees and integrating scalable, robust analytics tools. Our experience shows that when organizations empower their workforce with the right skills and resources, they unlock substantial value that enhances decision-making capabilities while fostering a culture of innovation and accountability. Mavent Analytics provides comprehensive consulting services to help organizations develop a solid data map and strategy, ensuring a smooth transition to a data-driven culture. Visit our website to discover how we can support your data journey: www.maventanalytics.com. #DataDriven #Analytics #BusinessGrowth #DataCulture #MaventAnalytics

    How to Create a Data-Driven Culture for Your Business

    How to Create a Data-Driven Culture for Your Business

    informationweek.com

  • View organization page for Mavent Analytics, graphic

    8,783 followers

    We really enjoyed being part of last Friday's Analytics Leaders Network Grand Slam Governance event. As always, the level of engagement and knowledge sharing was outstanding. The Wrigley Rooftops venue created an unbelievable atmosphere and provided a fantastic view of Wrigley Field to watch the Chicago Cubs beat the Cincinnati Reds 1-0. Mavent Analytics is proud to continue our support of Analytics Leaders Network and its growing community of data analytics leaders throughout Chicagoland and the broader Midwest. We are looking forward to returning to Brookfield Zoo Chicago on December 5 for their Holiday Magic celebration, and hope you can join us and your peers in data analytics for what we expect will be a festive and engaging event to wrap-up the year. If you aren't already a member of this exclusive group of senior data analytics leaders, we encourage you to take two minutes to apply for your complimentary membership today - https://lnkd.in/ggkMEFb8. You will be glad you did! #networking #datascience #dataanalytics #ALN #AnalyticsLeaders

    View organization page for Analytics Leaders Network, graphic

    1,512 followers

    The Analytics Leaders Network recently hosted our ‘Grand Slam Governance’ event this past Friday. It was a fantastic day filled with knowledge sharing, networking, and excitement as we watched the Chicago Cubs bring home the “W”. The event sparked insightful questions and discussions on the complex topics of data and AI governance. A special thanks to our expert panelists, Derrick Higgins, Prasannal Nithyanandam, and Ramendra (Ram) Singh, Ed. D., for sharing their valuable experiences and perspectives with our audience of data analytics executives. We also extend our gratitude to our ALN Sponsor Partners - Mavent Analytics and Pyramid Analytics. Finally, a big thanks to Wrigley Rooftops for providing such a unique and memorable experience at one of Chicago’s most iconic venues. Be sure to mark your calendars for our next event on the evening of Thursday, December 5, at Brookfield Zoo Chicago, where we will celebrate the year's end amidst the zoo’s Holiday Magic festivities. More information will be posted on our website soon. If you’re interested in connecting with fellow data analytics professionals and industry thought leaders, consider joining ALN today - https://bit.ly/3TF3h7R. #networking #datascience #dataanalytics #ALN #AnalyticsLeaders

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  • View organization page for Mavent Analytics, graphic

    8,783 followers

    Navigating the AI Landscape: Best Practices for Governance As we continue to explore the transformative potential of artificial intelligence in business, the integration of AI systems requires a thoughtful approach. We recommend reading the insightful article "Best practices for integrating AI in business: A governance approach" on CIO Online. This piece highlights the critical importance of AI governance, emphasizing three pivotal points: 1.      AI Governance: Establishing robust AI governance is crucial for mitigating risks, ensuring accountability, and building trust among stakeholders. Organizations must adopt policies and structures that oversee AI deployment responsibly and ethically. 2.      PAR Framework Alignment: Effective AI governance aligns with the PAR framework—being Proactive by anticipating future legal and ethical challenges, Adaptive to rapidly changing technologies and legal landscapes, and Reactive to existing laws and ethical concerns. 3.      Best Practices for AI Integration: To maximize AI's potential, businesses should establish a clear AI strategy, form an AI governance committee, and develop comprehensive AI policies addressing data privacy, security, and bias. At Mavent Analytics, we believe in the importance of implementing robust AI governance frameworks that are proactive, adaptive, and reactive to the evolving landscape of artificial intelligence. To effectively harness the power of AI while mitigating risks, we recommend that companies take the following essential steps: > Establish a Clear AI Strategy: Align AI initiatives with business goals to ensure technology supports the company’s mission. > Create an AI Governance Committee: Form a committee with diverse stakeholders to oversee AI projects and ensure regulatory compliance. > Develop Comprehensive AI Policies: Organizations need clear policies addressing key issues like data privacy, fairness, and transparency Join us at the Analytics Leaders Network’s 'Grand Slam Governance' event, sponsored by Mavent Analytics, on September 27th at the Wrigley Rooftops. This exclusive VIP event will feature a panel discussion on data and AI governance, offering a prime opportunity for networking with top data analytics executives. Enjoy the Chicago Cubs game with us while gaining valuable insights. Request your complimentary ticket today for a chance to join this insightful and networking-rich experience! #AIGovernance #DataGovernance #DataAnalytics #Innovation #MaventAnalytics #AnalyticsLeaders

    Best practices for integrating AI in business: A governance approach

    Best practices for integrating AI in business: A governance approach

    cio.com

  • View organization page for Mavent Analytics, graphic

    8,783 followers

    At Mavent Analytics, we often receive inquiries from seasoned business professionals about transitioning into a career in data science. This interest highlights the dynamic and rewarding nature of the field, especially with projected job growth exceeding 35% by 2032. This continued demand for data science expertise signifies that ample opportunities are on the horizon for those looking to pivot their careers. For those contemplating this career path, the article "How to Become a Data Scientist: Steps and Top Reasons" by Data Science Council of America serves as a comprehensive and invaluable guide. It not only outlines the essential skills and knowledge required but also provides insights into the industry landscape and emerging trends. Key steps to embark on your journey include: > Enroll in an Introductory Data Science Preparation Course: Establish a strong foundation by taking online courses that cover essential concepts and tools. > Acquire In-Demand Skills: Develop proficiency in programming languages like Python, as well as expertise in statistical modeling and machine learning. > Obtain Certifications: Validate your skills and enhance your resume with recognized data science certifications. > Create a Portfolio: Showcase your capabilities through 3-5 data projects that highlight your end-to-end problem-solving skills. The advantages of pursuing a career in data science are compelling. This field offers the chance to tackle impactful challenges, enjoy robust industry demand, earn competitive salaries, and explore diverse career growth opportunities. From the perspective of Mavent Analytics, while the article provides valuable guidance, it's essential to emphasize the importance of continuous learning and practical experience. Given the rapidly evolving nature of data science, a commitment to staying abreast of the latest technologies and methodologies is crucial. Mavent Analytics’ consulting and talent services offer coaching and support for both experienced data analytics professionals and those entering the field. Explore more at www.maventanalytics.com. Join the conversation and discover how you can leverage your business expertise in the exciting realm of data science. #DataScience #CareerChange #DataAnalytics #MachineLearning #MaventAnalytics #DataDriven #TechCareers

    How to Become a Data Scientist: Steps and Top Reasons

    How to Become a Data Scientist: Steps and Top Reasons

    dasca.org

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