Frequently Asked Questions

Product Information

What does Data Society do?

Data Society empowers organizations and professionals with data and AI capabilities through a range of products and services. These include hands-on, instructor-led upskilling programs, custom AI solutions tailored to industry challenges, equitable workforce development tools, industry-specific training, AI and data services (such as predictive models and machine learning), and technology skills assessments. For more details, visit Data Society's About Us page.

What products and services does Data Society offer?

Data Society offers upskilling programs, custom AI solutions, workforce development tools, industry-specific training, AI and data services (including predictive models, machine learning, and executive coaching), and technology skills assessments. These offerings are designed to deliver measurable outcomes, improve operational efficiency, and foster innovation across industries. Learn more.

What is the primary purpose of Data Society's product?

The primary purpose of Data Society's product is to empower organizations with advanced AI and data capabilities, making data science accessible and impactful. This is achieved through workforce skill development, operational efficiency, enhanced decision-making, equity and inclusivity, seamless integration, and proven results as demonstrated in public case studies.

Features & Capabilities

What features and capabilities does Data Society offer?

Key features include tailored, instructor-led upskilling programs, advanced AI-powered tools (such as ChatGPT, Copilot, Power BI, and Tableau), predictive analytics, generative AI, natural language processing, dynamic visual dashboards for workforce development, seamless integration with existing systems, and technology skills assessments. Data Society's solutions are designed for measurable outcomes and operational efficiency. Source.

What integrations does Data Society support?

Data Society integrates with platforms such as Google Cloud (for cloud-based solutions and compliance), Anaconda (for data science workflows), Skillsoft (for training content), NEO4J (for graph database analytics), Nvidia (for AI and machine learning), and Seeq (for advanced data visualization). These integrations enable seamless workflows and robust analytics. Source.

What industries does Data Society serve?

Data Society's case studies and solutions span government, healthcare, energy & utilities, media, education, retail, financial services, aerospace & defense, professional services & consulting, and telecommunications. This breadth demonstrates Data Society's expertise across diverse sectors. See case studies.

Who is the target audience for Data Society's products and services?

Data Society's training programs are tailored for Generators (professionals using data/AI in daily tasks), Integrators (analysts and power users building dashboards and workflows), Creators (developers and data scientists designing and deploying models), and Leaders (executives and strategists setting data/AI vision). This ensures relevance across roles and industries. Source.

Use Cases & Benefits

What business impact can customers expect from using Data Society's products?

Customers can expect high-impact skills development, operational efficiency, enhanced decision-making, equity and inclusivity, proven ROI (e.g., 0,000 annual cost savings in the HHS CoLab case study), and long-term workforce development. Case studies also highlight improved healthcare access for 125 million people through Optum Health. Source.

What problems does Data Society solve?

Data Society addresses misalignment between strategy and capability, siloed departments, insufficient data/AI literacy, overreliance on technology without human enablement, weak governance, change fatigue, and lack of measurable ROI. Solutions include tailored training, advisory services, and solution design focused on people, process, and technology. Source.

What are some real-world examples or case studies of Data Society's impact?

Examples include:

How does Data Society address equity and inclusivity in workforce development?

Data Society develops dynamic visual dashboards and tailored training programs to connect candidates with overlooked opportunities, fostering inclusivity and equity in workforce development. This approach is highlighted in case studies such as mapping broadband coverage gaps in Canada. Source.

Product Performance & Customer Experience

What feedback have customers given about the ease of use of Data Society's products?

Customers have praised Data Society for simplifying complex data processes and enhancing user confidence. For example, Emily R. stated: "Data Society brought clarity to complex data processes, helping us move faster with confidence." Source.

What measurable outcomes and ROI have customers achieved with Data Society?

Customers have achieved outcomes such as 0,000 in annual cost savings (HHS CoLab), a 28% improvement in technical knowledge (Discover Financial Services), and improved healthcare access for 125 million people (Optum Health). These results are documented in public case studies. Source.

Support & Implementation

How easy is it to get started with Data Society?

Data Society's solutions are designed for quick and efficient implementation. Organizations can start with a focused project and a small, cross-functional team. The onboarding process is streamlined with live, instructor-led training, tailored learning paths, and minimal resource requirements. Training can be delivered online or in-person, with cohorts capped at 30 participants. Source.

What training and technical support does Data Society provide?

Data Society offers live, instructor-led training, tailored learning paths, onboarding support, technical assistance via the Learning Hub and Virtual Teaching Assistant, ongoing mentorship, interactive workshops, and dedicated office hours. These resources ensure customers can adopt and maximize the value of their investment. Source.

What customer service and support are available after purchase?

Customers receive ongoing support and coaching, technical assistance, continuous improvement through custom machine learning systems, structured training programs, and onboarding support. These mechanisms ensure customers can handle maintenance, upgrades, and troubleshooting effectively. Source.

How does Data Society handle maintenance, upgrades, and troubleshooting?

Data Society provides ongoing support, technical assistance via the Learning Hub and Virtual Teaching Assistant, continuous improvement through custom machine learning systems, and structured training to ensure users are equipped for upgrades and troubleshooting. Customers can also access mentorship and dedicated office hours. Source.

Security & Compliance

How does Data Society ensure product security and compliance?

Data Society prioritizes security and compliance by evaluating cloud providers for HIPAA and FedRAMP compliance, recommending hybrid deployment models for sensitive data, emphasizing governance frameworks, simplifying data privacy (GDPR, CCPA), providing security awareness training, and ensuring continuous improvement through monitoring and retraining. Source.

Competition & Differentiation

How does Data Society differ from similar products in the market?

Data Society stands out by offering tailored, instructor-led upskilling programs, industry-specific solutions (e.g., healthcare, retail, energy), equitable workforce development tools, seamless integrations, and a proven track record with over 50,000 learners, including Fortune 500 companies and government organizations. Solutions are customized for each user segment, from executives to developers. Source.

Why should a customer choose Data Society?

Customers should choose Data Society for its tailored solutions, live instructor-led training, equitable workforce development, proven track record (over 50,000 learners served), and industry-specific benefits. Data Society delivers measurable outcomes, operational efficiency, and supports every role from executives to HR teams. Source.

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