Frequently Asked Questions

Features & Capabilities

What products and services does Data Society offer?

Data Society provides hands-on, instructor-led upskilling programs, custom AI solutions, workforce development tools, industry-specific training, AI and data services (including predictive models, R&D, cloud-native courses, project ideation, design thinking, machine learning, UI/UX analytics, rapid prototyping, and executive technology coaching), and technology skills assessments. These offerings are designed to deliver measurable outcomes and foster innovation across industries. Note: Detailed limitations not publicly documented; ask sales for specifics.

What are the key capabilities and benefits of Data Society's product?

Key capabilities include tailored AI and data solutions for industry-specific challenges, hands-on upskilling programs, workforce development tools for inclusivity, measurable business outcomes (such as ROI and project impact), and custom AI solutions for process optimization and risk reduction. Data Society also offers industry-specific training for sectors like healthcare, retail, energy, and government. Note: Best fit for organizations seeking tailored, instructor-led programs; teams needing only self-paced, generic training may want to consider alternatives.

What integrations does Data Society support?

Data Society's meldR platform integrates with communication tools such as email, social media, and calendar platforms to enhance collaboration and engagement during upskilling. Additionally, the iubenda Cookie Consent Solution integrates with Google Consent Mode v2, IAB Transparency & Consent Framework, and over 800 ad partners for compliance management. Note: For more details, visit the meldR product page or iubenda's cookie solution page. Some integrations may require additional setup or licensing.

Pain Points & Problems Solved

What core problems does Data Society solve for organizations?

Data Society addresses misalignment between strategy and capability, siloed departments and fragmented data ownership, insufficient data and AI literacy, overreliance on technology without human enablement, weak governance and unclear accountability, change fatigue and cultural resistance, and lack of measurable outcomes and ROI visibility. Solutions include tailored training, data integration, governance policies, and tools for ROI tracking. Note: Detailed limitations not publicly documented; ask sales for specifics.

What are the main reasons organizations face data literacy gaps?

Organizations often set ambitious data and AI goals without ensuring teams have the necessary skills and infrastructure. Data is frequently siloed across departments, employees lack formal training, and there is an overreliance on technology without human enablement. Weak governance and unclear accountability, as well as change fatigue and lack of measurable ROI, further contribute to the gap. Note: These challenges may vary by organization and industry.

How does Data Society address the data literacy gap highlighted in the Protocol article?

Data Society provides instructor-led, hands-on training programs that go beyond simply providing software tools. These programs are tailored to organizational goals and focus on building practical skills, ensuring that more employees—not just a few—can use data analytics platforms effectively. Note: Best fit for organizations seeking active, instructor-led engagement; those preferring only self-paced learning may want to consider alternatives.

Use Cases & Industries

Who can benefit from Data Society's solutions?

Executives, managers, technical professionals, HR teams, and marketing teams across industries such as healthcare, government, financial services, energy, and retail can benefit. Data Society's programs are tailored to address the unique challenges of each role and sector, including predictive analytics, risk mitigation, grid optimization, and pricing strategies. Note: Organizations seeking only generic, off-the-shelf training may not realize the full value of Data Society's tailored approach.

What industries are represented in Data Society's case studies?

Industries include aerospace & defense, financial services, government, healthcare, professional services & consulting, and telecommunications. Example case studies: AFWERX data science training (aerospace & defense), Discover Financial Services upskilling (financial services), U.S. Department of State and City of Dallas (government), Optum Health (healthcare), and broadband mapping in Canada (telecommunications). Note: Not all industries may have a published case study; contact Data Society for the latest examples.

Implementation & Ease of Use

How long does it take to implement Data Society's solutions, and how easy is it to start?

Implementation timelines vary: an AI readiness assessment for a mid-sized organization typically takes 2-4 weeks, while lighter diagnostics can be completed in a few days. Structured, role-specific training programs can yield meaningful behavioral changes within 3-6 months. Data Society offers streamlined onboarding, hands-on assistance, tailored training, and flexible delivery (live online or in-person). Note: Full transformation may take longer depending on scale and depth; highly complex organizations may require extended timelines.

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

Emily R., a subscriber, stated: "Data Society brought clarity to complex data processes, helping us move faster with confidence." This feedback highlights the product's ability to simplify intricate data workflows and enable more effective operations. Note: Individual experiences may vary; request additional references for your specific use case.

Business Impact & Outcomes

What business impact can customers expect from using Data Society?

Customers can expect increased efficiency, cost savings (e.g., 0,000 annual savings in the HHS CoLab case), improved decision-making, enhanced workforce readiness, better collaboration, transparency, and a competitive edge. Data Society ties initiatives to measurable business outcomes and provides tools for ROI tracking. Note: Actual results depend on organizational commitment and project scope.

What KPIs and metrics are associated with Data Society's solutions?

Key metrics include: percentage of workforce with data/AI competencies, training completion rates, post-training performance improvement, data integration rates, collaboration index, employee data literacy scores, adoption rates of new tools, compliance audit scores, change adoption rates, and ROI per AI/analytics initiative. Note: Not all metrics may be available for every engagement; discuss with Data Society for tailored measurement plans.

Security & Compliance

What security and compliance certifications does Data Society have?

Data Society is ISO 9001:2015 certified, demonstrating a commitment to quality management and secure operations. This certification is particularly relevant for industries handling sensitive information, such as government and healthcare. Note: SOC 2 or other certifications are not listed; inquire directly for additional compliance details.

Company Information & Credibility

What should customers know about Data Society's company background and credibility?

Founded in 2014 and headquartered in Washington, D.C., Data Society has served over 50,000 learners, including Fortune 500 companies and government agencies. The company is recognized as an Inc. 5000 fastest-growing company and a Fast Company Best Workplace for Innovators. Data Society is ISO 9001:2015 certified and works across healthcare, government, financial services, energy, and retail. Note: For the most current company information, visit Data Society's About Us page.

Competition & Differentiation

How does Data Society differ from competitors like Coursera, Udacity, General Assembly, Skillsoft, and Pluralsight?

Data Society offers tailored, instructor-led training and custom AI solutions, focusing on industry-specific challenges and measurable outcomes. Unlike competitors that primarily offer self-paced, generic courses, Data Society provides live, project-based programs, governance advisory, and tools for inclusivity and ethical AI use. Competitors like Coursera and Udacity may be preferable for organizations seeking only self-paced, broad-access content. Note: Data Society may not be the best fit for teams needing only generic, low-touch online training.

Vision & Mission

What is Data Society's vision and mission, and how does its product contribute?

Data Society's vision is to transform organizations into future-ready workforces by equipping teams with the skills, tools, and mindset needed for an AI-driven world. The mission is rooted in the belief that education is the great equalizer. The product contributes by offering tailored AI/data solutions, upskilling programs, workforce development tools, and measurable outcomes. Note: For more on the company's mission, see Data Society's About Us page.

As per recent survey by Tableau and Forrester, there’s a gap between what employees know about data and what employers think their employees know about data.

Protocol: Tech Companies Have a Data Literacy Gap

Original article by Amber Burton appeared in Protocol

Tech companies are drowning in data. And chances are, those fancy data analytics platforms they’ve invested in aren’t helping. But don’t blame the tech just yet. According to a recent survey by Tableau and Forrester, there’s a gap between what employees know about data and what employers think their employees know about data.

While 82% of leaders expect all employees to have basic data literacy skills, only about 40% of employees say they’re provided the data skills they’re expected to have on the job, according to the survey. The findings signal a persisting dearth of data training within organizations, and because all roads lead back to The Great Resignation, this skills gap could be a reason your valued employees find somewhere else to work. According to the survey, nearly 80% of data-trained employees said they were more likely to stay with their company, and 10 times more likely to voice high satisfaction with their employer.

Protocol: Tech Companies Have a Data Literacy Gap

Decision-makers are twice as likely as employees to say they’re adequately equipping employees with data skills they need, according to the survey, but that training is often confused with simply providing the tools.

“One of the topics that I talk about with a lot of our clients is the difference between purchasing tools and having staff who can handle it,” said Merav Yuravlivker, CEO and co-founder of Data Society, a provider of data-training programs for companies. “Every organization that I know has purchased licenses to specific software platforms that are data analytic platforms. And that’s great. That helps enable a lot of folks. But what we’ve seen in a lot of those organizations is they might buy 100 licenses, and there’s maybe five people who actually understand how to use this product effectively.”

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