From Staffing to Strategy: How Lucid Helps Businesses at Every Stage of Tech Growth
Why the smartest companies don’t just hire talent—they build momentum.
Technology leaders today face an uncomfortable truth: growth is no longer just about adding people. It’s about building the right combination of skills, processes, and strategic support that can scale as fast as your business does.
But that’s easier said than done. The pressure to deliver high-quality digital experiences, strengthen data capabilities, improve security postures, and adopt AI is rising, while talent markets and internal capacity are often stretched thin.
This is where many organizations fall into the all-too-common trap:
Hiring talent to solve a strategic problem—without solving the strategy problem itself.
At Lucid, we’ve built our business around helping companies avoid exactly that. For more than a decade, our foundation has been elite technology staffing: pairing high-performing talent with organizations that need them most. But as the technology landscape has evolved, so have the needs of our clients. More and more, leaders were asking questions that went beyond talent:
“How do we organize this team so they’re actually effective?”
“What processes should we be using?”
“Do we have the right data to make decisions?”
“How do we prepare for AI without breaking things?”
In other words: “We don’t just need people. We need direction.”
So we expanded. Today, Lucid delivers not just staffing—but strategic solutions designed to accelerate outcomes, reduce friction, and ensure your team (whoever they are) performs at their best.
Think of it as staffing on steroids.
You get the talent you need and the strategic clarity needed to activate that talent.
Let’s break it down.
The Power of Great Talent—Delivered the Right Way
At its core, Lucid remains one of the most respected names in technology staffing. We understand that exceptional people are still the backbone of transformation. But what sets our staffing approach apart?
1. Precision Matching Over Quick Filling
We don’t just send résumés. Lucid matches candidates based on technical skill, problem-solving ability, team fit, communication style, and work preferences. Because a candidate who looks great on paper but fails in collaboration isn’t a hire—it's a risk.
2. Options That Fit How You Actually Operate
Your business isn’t static. Your talent strategy shouldn’t be either.
Lucid offers flexible staffing models including:
Contract talent for short-term needs or project spikes
Contract-to-hire for “try before you buy” confidence
Direct hire for critical full-time roles
Co-sourced teams that integrate with your internal staff
Project-based talent pods built for specific outcomes
This range means you get talent when you need it, how you need it, for exactly as long as you need it.
3. Market Intelligence You Can Act On
We advise clients on real-world hiring trends, skill availability, compensation expectations, and shifting market forces—so you’re not hiring blind. When leaders say they want to “hire smarter,” this is what they mean.
Why Staffing Isn’t Enough Anymore
Even the best talent can underperform when the environment around them isn’t equipped for growth. We see this all the time:
Teams with great engineers but no clear architecture strategy
Cybersecurity hires without a roadmap or governance
Data analysts working with outdated infrastructure
Project managers thrown into chaos without process alignment
AI initiatives without data hygiene or change management
The result?
Wasted talent.
Wasted investments.
Wasted time.
Leaders often feel this tension but struggle to articulate it. They know the team is capable—they just need a clearer runway.
That’s where Lucid’s Strategic Solutions come in.
Strategic Solutions: The “Strategy Layer” Modern Teams Need
Lucid’s Strategic Solutions practice exists to help businesses build strong, scalable foundations so that both new and existing talent can operate at their potential. It includes specialized consulting and delivery support in:
Strategic Data Management
Information Security + Risk
Application & Architecture Integration
AI Readiness & Enablement
Organizational Change Management
Process + Project Lifecycle Management
If staffing is about “who,” Strategic Solutions is about “how.”
How you operate.
How you scale.
How you adapt.
What This Looks Like in Action
Here are a few real-world examples of how businesses use both offerings together:
➡ A company needs new developers—but also an integration strategy.
Lucid places the developers and provides architectural guidance to ensure systems and workflows are actually aligned.
➡ A leader wants to adopt AI tools—but the data is a mess.
Lucid’s AI Readiness team assesses the data posture, creates a plan for hygiene & governance, and then pairs the client with analysts and engineers to execute it.
➡ A business is growing fast—but change is outpacing the team’s capacity.
Lucid provides Organizational Change Management services to help navigate adoption while simultaneously supplying the additional staff needed for support.
In every case, staffing alone wouldn’t solve the root problem. Strategy alone wouldn’t create capacity.
Together? They unlock momentum.
Why Business Leaders Choose Lucid
Executives tell us they choose Lucid for three big reasons:
1. We Reduce the Risk of Growth
Every new project, hire, or initiative carries uncertainty. Lucid minimizes that uncertainty with data-driven talent selection and strategic oversight.
2. We Don’t Just Fill Gaps—We Build Capability
Our goal isn’t to “satisfy a req.” It’s to strengthen your organization’s ability to deliver results. When we place talent, we’re thinking about how that talent fits your roadmap, not just your job description.
3. We Meet You Exactly Where You Are
Some clients need a full delivery team.
Some need one critical hire.
Some need a strategic assessment to set the stage for growth.
Most need a combination.
Lucid’s model is designed for all of it.
The Bottom Line: Modern Tech Growth Requires a Dual Approach
Businesses that scale successfully do two things exceptionally well:
They hire (or contract) high-performing talent.
They build the strategic foundation that allows that talent to thrive.
If you’re missing either piece, growth slows.
When you have both? Growth accelerates.
Lucid exists to give you both.
Whether you’re shoring up a team, launching a transformation initiative, preparing for AI, or simply trying to get ahead of the constant churn of modern technology, Lucid is the partner that brings clarity, capability, and confidence to your next move.
Because in today’s landscape, it’s not enough to hire people who can do the work. You need a partner who helps ensure the work gets done right. Get in touch today and see how staffing on steroids can benefit your organization.
The Real Cost of a Bad Hire (and How to Avoid It)
Spend your time building — not backfilling.
The Noise Problem in Hiring
Hiring today is harder than ever. One-click applications and AI-written résumés have turned recruiting into a numbers game — and not in a good way. What used to be a manageable search for the right person is now a battle to find signal in all the noise.
According to the U.S. Department of Labor, a single bad hire can cost up to 30% of that employee’s first-year salary. Add in lost productivity, low morale, and wasted time, and the real cost goes much higher.
But the biggest loss isn’t money — it’s momentum. Every hour your leaders spend re-interviewing or re-training is an hour not spent moving your business forward.
Why Bad Hires Are More Common Now
Too much volume, not enough clarity.
Quick-apply tools make it effortless to submit applications — which means recruiters and hiring teams are flooded with résumés that all look the same.
AI-polished profiles.
Candidates have access to tools that can make any résumé shine. Unfortunately, that polish can hide the truth about skills and experience.
Digital deception.
Fake profiles, deepfakes, and inflated work histories are increasingly common. Even experienced hiring teams are getting fooled by applicants who aren’t who they claim to be.
The Hidden Costs Nobody Talks About
A bad hire doesn’t just hit your budget — it drags down the whole team. Managers spend hours coaching someone who’s not the right fit. Colleagues pick up the slack. Onboarding turns into damage control.
Momentum fades, morale drops, and customers start to notice long before Finance does. Replacing that person means starting the whole process over — compounding the cost and frustration.
How to Reduce the Risk
Verify early and often.
Use identity checks, live video verification, references, and real-world work samples to confirm that candidates are who they say they are.Hire for outcomes, not keywords.
Structured interviews that focus on results — not résumé buzzwords — reveal what someone has actually achieved.Treat onboarding like insurance.
Set clear goals for ramp-up time, check in frequently, and make onboarding a measurable part of retention.
How Lucid Services Group Helps
At Lucid, we operate at the high-signal end of the hiring funnel. Our process is designed to find and deliver talent that performs — not just candidates who look good on paper.
Here’s how we help our partners avoid the “bad hire tax”:
🎯 Quality over quantity: Two to three rigorously vetted candidates per role — each chosen for fit, skill, and impact.
🕵️ Fraud-aware screening: Identity checks, verified work history, and hands-on assessments to ensure authenticity.
📊 Evidence-first evaluations: Structured, role-specific assessments tied directly to performance outcomes.
⚡ Speed without shortcuts: Streamlined interviews and fast feedback loops to keep hiring momentum strong.
🤝 First-90-day success plans: Every placement includes a tailored ramp-up roadmap to boost retention and productivity.
The result? Fewer false starts, faster hires, and teams that actually stick.
Build, Don’t Backfill
The cost of a bad hire isn’t just a line item — it’s lost trust, time, and traction. Lucid helps you hire with clarity and confidence so your leaders can focus on what really matters: building, not backfilling.
🚀 Ready to hire smarter?
Let’s talk about how Lucid can help you build a stronger, faster, more reliable hiring process — and keep costly mis-hires out of your future.
👉 Schedule a consult or contact us today to start a conversation about high-signal hiring that drives real results.
AI Is Coming for Your Business — and That’s a Good Thing (If You’re Ready)
I have spent my life working at being both an effective coach and player with our businesses, our clients’ businesses, sports teams, and the people I care about in my personal life. If you know me, you know I am passionate about Indiana University, the Kelley School of Business and Hoosier Athletics. One of my favorite quotes, which gets credited to many sources including Vince Lombardi, Bear Bryant, Bob Knight and others, is “Everyone has the will to win, but few have the will to prepare to win.” I get asked occasionally to talk to groups of people about new, transformational technologies and the impact to our world and businesses. Many technological innovations come and go but some are truly consequential—generative AI is the latter.
Preparing to win has never been more important for any business looking to capitalize on the opportunity that the coming wave of business solutions riding on the Generative AI tools that have been and will be built. These tools, like agentic AI and multi-agent solutions, are designed to work independently of humans. They will learn and evolve with as little human intervention as is practical. That practicality will change over time with the human in the loop becoming less of an actor and more of an observer and validator.
Success depends on much more than the just the algorithms.
At Lucid, we know that success will depend on effective Strategic Data Management (SDM) and Organizational Change Management (OCM) capabilities. These solutions are only as strong as the data that powers it and the people who embrace it. Without a disciplined approach to data strategy and deliberate management of human adoption, even the most promising AI initiatives will fail.
Are you ready?
AI promises transformative value: smarter decisions, faster insights, automated workflows, and entirely new business models. However, most AI projects fail to reach production or deliver meaningful ROI. Why? Because most organizations have not prepared to win by laying the foundation required to succeed.
Data lives in silos, lacks governance, and exists in inconsistent formats. Without a single source of truth, AI models produce unreliable results.
Employees see AI as a threat to their jobs or don’t understand how to use it. Without trust and adoption, even great tools go unused.
Leadership pursues AI without clear business outcomes or integration with enterprise strategy. AI becomes a science experiment rather than a growth engine.
If AI is the brain, data is the blood. Every insight, recommendation, and output AI produces is based on the quality, completeness, and context of the data feeding it. Strategic Data Management (SDM) is the practice of aligning an organization’s data assets, architecture, and governance with its strategic goals. It ensures that the data driving AI is trusted, accessible, and ethically managed.
Key Components of Strategic Data Management:
Data Strategy and Vision
An effective AI program begins with a clear data strategy aligned to business objectives.
Ask yourself:What problems are we solving with AI?
What data do we need to solve them?
How will success be measured?
Data Governance
Good governance makes data usable. It defines ownership, standards, and accountability for data accuracy, privacy, and compliance. Governance also establishes the trust that employees and customers need to feel confident about AI’s outcomes.Data Quality and Integrity
AI depends on clean, consistent, and complete data. A model trained on bad data will produce biased or inaccurate results—a concept often summarized as “garbage in, garbage out.”Data Architecture and Infrastructure
AI workloads require modern, flexible data architectures that can scale and integrate across systems.Metadata and Semantic Layer
AI thrives when data is contextualized. Metadata describes what data means, where it came from, and how it’s used. A semantic layer translates raw data into business terms, empowering both humans and AI systems to interpret it correctly.
Organizational Change Management (OCM) prepares, equips, and supports individuals to adopt change successfully. In the context of AI, OCM helps organizations bridge the gap between technology potential and human adoption.
Key Components of Organizational Change Management:
Build a Compelling AI Vision
Employees must understand why AI is being introduced and how it supports the company’s mission. This includes the business outcomes AI enables, the benefits to employees, and the shared vision for human–AI collaboration.Engage Leadership Early and Often
Visible executive sponsorship is the single most important success factor in change initiatives.Assess Organizational Readiness
Before deploying AI, conduct a change readiness assessment. These insights inform targeted training, communication, and engagement plans.Empower AI Champions
Identify early adopters and AI ambassadors across departments. They become the bridge between technical teams and end users, providing peer support, feedback, and credibility.Build Skills and Confidence
AI success requires data fluency across the workforce. Training should be continuous and role-specific, evolving as AI capabilities mature.Communicate Transparently and Frequently
Communication should demystify AI, not glorify it.Reinforce and Sustain Change
OCM doesn’t end at go-live. Sustained success requires:Ongoing measurement of adoption and sentiment
Continuous improvement loops
Celebrating wins and learning from failures
Integrating AI behaviors into performance metrics and culture
Integrating SDM and OCM is the formula for success. AI success happens when they work together.
This is a three-part framework:
Step 1: Build the Foundation — Data Readiness
Establish a clear data strategy tied to business objectives
Cleanse, govern, and integrate data across silos
Without this step, AI models will struggle to produce reliable, repeatable insights.
Step 2: Enable the Organization — Change Readiness
Prepare leadership and employees for AI-driven change
Communicate purpose and benefits clearly
Equip teams with new skills and confidence to use AI tools
This ensures AI is used consistently and confidently, not resisted or ignored.
Step 3: Accelerate Impact — AI Enablement
Once data and people are ready, the organization can move faster:
Deploy generative AI, predictive analytics, or automation tools
Integrate AI into daily workflows and decision-making
Monitor impact and continuously optimize models and behaviors
In this integrated model, data provides accuracy, people provide adoption, and AI delivers outcomes.
You need to know where you are across both the data and organizational dimensions.
Getting an honest assessment of your AI readiness and maturity level can help. There are maturity models that can help:
| Maturity Level | Data Management Focus | Change Management Focus | AI Capability |
|---|---|---|---|
| Level 1: Ad Hoc | Data is siloed and inconsistent | No structured change process | Experimental pilots |
| Level 2: Developing | Some data governance in place | Reactive communication | Isolated successes |
| Level 3: Defined | Centralized data strategy | Formal change frameworks | Targeted use cases |
| Level 4: Integrated |
Enterprise-wide data quality and access | Active leadership engagement | Operationalized AI |
| Level 5: Optimized | Real-time, ethical, self-service data | Continuous learning culture | Scaled, adaptive AI ecosystems |
The goal is to know where you are now, where you need to be, and when you need to be there. Everyone does not need to be level five day. Different parts of the org can also be at different levels if that is the right path.
AI is a big opportunity and big operational challenge. Nobody gets 5 years to deliver value, so how do we get value quickly, given the need to bolster our foundation?
Answer: Thin slice it.
A thin-slice approach to AI foundation work, SDM, and OCM will fix immediate needs for the foundational changes needed for the first AI initiative to be delivered. Instead of a "big bang" approach, this iterative method delivers a minimum viable product for a specific business issue or issues, allowing teams to test and integrate solutions early, reduce the cost of delay, and adapt to business needs in complex, competitive environments.
Identify a Specific Business Issue: Focus on a single, actionable problem
Develop a "Thin Slice:" Create a small, complete, end-to-end solution that provides just enough functionality to address the identified business issue.
Integrate and Test Early
Deliver Value and Gather Feedback
Iterate and Refine: Review the impact of the slice, identify roadblocks, and then repeat the process to add more features or address new issues in subsequent iterations.
The companies that win won’t be the ones with the biggest models or budgets—they’ll be the ones that prepare to win. They will invest in their data and their people with equal commitment.
Why Strategic Data Management is No Longer Optional for SMBs
For businesses of any size, your data is your most valuable asset. But data means nothing if you can’t use it to facilitate growth. This means moving beyond simple data collection to a strategic data management approach. Businesses must create and implement a deliberate plan for how data is collected, stored, managed, and utilized to achieve their core business objectives.
“A strategic approach to data management empowers leaders to make smarter decisions, streamline operations, foster stronger customer relationships, and ultimately, gain a significant competitive edge,” says Kent Hiller, VP of Data Solutions at Lucid Services Group.
Unfortunately, the reality for many SMBs is a reactive approach to data, often leading to disorganized, underutilized, and insecure information scattered across various systems. A strategic data management plan directly confronts these issues, turning data from a passive byproduct of operations into an active driver of success.
Key Pillars of Strategic Data Management for SMBs:
A robust data management strategy for a small or mid-sized business is built on several key principles:
Data Governance: This establishes the "who, what, when, where, and why" of your data. It defines who has ownership and access to data, ensuring accountability and consistency in how data is handled across the organization. For a small to mid-sized business, this could be as simple as designating a "data champion" responsible for overseeing data practices. A strong consulting partner can help you get started on implementing a strategy tailored to your organization’s needs.
Data Quality: The adage "garbage in, garbage out" is particularly true for data. A focus on data quality ensures that the information being collected is accurate, complete, and consistent. This involves processes for cleaning and validating data to prevent flawed insights from leading to poor business decisions.
Data Security and Compliance: With the rise of data privacy regulations like GDPR and CCPA, protecting customer and business data is paramount. A strategic approach includes implementing security measures such as encryption and access controls as well as ensuring compliance with relevant legal frameworks. This not only protects the business from hefty fines but also builds trust with customers.
Data Accessibility and Usability: Data is only valuable if the right people can access and understand it when they need it. This involves breaking down data silos—where information is trapped in different departments or software—and utilizing tools that can present data in a clear and actionable format, such as dashboards and reports.
The Tangible Benefits for Small and Mid-Sized Businesses:
By embracing strategic data management, SMBs can unlock a wealth of benefits that directly impact their bottom line and long-term viability:
Sharpened Decision-Making: Instead of relying on gut feelings or incomplete information, strategic data management provides SMBs with a solid foundation of evidence for their decisions. By analyzing customer behavior, sales trends, and operational data, business leaders can identify growth opportunities, optimize pricing strategies, and allocate resources more effectively.
Enhanced Operational Efficiency: Disorganized data leads to wasted time and resources. A centralized, well managed data system automates processes, reduces redundancies, and streamlines workflows. And more efficient operations will head straight to the bottom line: 65% of highly data-driven SMBs financially outperform their competitors.
Deeper Customer Understanding and Personalization: In a competitive market, understanding customer needs is crucial. By collecting and analyzing customer data from various touchpoints—such as website interactions, purchase history, and feedback—SMBs can create detailed customer profiles. This enables personalized marketing campaigns, tailored product recommendations, and improved customer service, leading to increased loyalty and retention.
Increased Agility and Competitiveness: SMBs with a handle on their data can spot market trends and shifts in consumer behavior more quickly than their less data-savvy competitors. This agility allows them to adapt their strategies, launch new products or services, and respond to challenges proactively.
Mitigated Risks: Poor data management can expose a business to significant risks, including data breaches, non-compliance penalties, and reputational damage. A strategic approach prioritizes data security and governance, safeguarding sensitive information and ensuring the business operates within legal and ethical boundaries.
Be ready for AI: AI can be a powerful and transformative tool, but it’s only as good as the data it’s built on. Organizations with strong data maturity adopt AI at twice the rate of their less data-savvy competitors, and in turn they see about 30% more value from the investment they made in AI tools. Can your business afford to leave that revenue on the table?
Overcoming the Challenges: A Strategic Imperative
It's true that SMBs often face challenges in implementing a comprehensive data management strategy, including limited financial resources, a lack of specialized in-house expertise, and the overwhelming volume of data. However, the cost of inaction—missed opportunities, inefficient processes, and security vulnerabilities—far outweighs the initial investment.
The key for SMBs is to start small and scale their data management efforts. A partner like Lucid can help by beginning with identifying the most critical business questions that data can help answer, then focusing on collecting and managing the data needed to address those specific points. Implementation of cloud-based tools and user-friendly analytics platforms are often surprisingly affordable and will open the door to increased understanding, competitive advantages, and higher revenue.
Strategic data management is not a luxury reserved for large corporations; it is a fundamental necessity for any small or mid-sized business looking to thrive in a data-driven world. By treating data as a strategic asset and implementing a clear plan for its management, SMBs can unlock powerful insights that drive smarter decisions, create more efficient operations, and build lasting customer relationships, paving the way for sustainable growth and success.
Ready to get ahead of your data? Click here to have a conversation.
Support Services
Lucid Services Group has a long history of supporting multi-location, large (5,000+ employees) organizations on their Support Services needs. We’ve helped clients nationwide augment their existing teams with Lucid resources to support workload surges, created teams to handle new technology rollouts and desktop refreshes, and provided oversight of entire support environments. No matter the technology or scale, we have an option that will help your internal clients succeed.
Clients love working with Lucid because
We’re a certified Women’s Business Enterprise, and we make it easy to help you reach your diversity spend goals
Our candidate pool is large, well vetted, and highly qualified
Our placements stick — our average contractor duration is 364 days
We cut the red tape — we make hiring easy with efficient onboarding practices and fast turnaround itme
Where Lucid Can Help
Businesses of all sizes can benefit from a staffing partner in order to successfully support their internal teams. Lucid has extensive experience in in various support services environments. Our recruiters can deliver top talent for even the most challenging positions and know exactly how to vet the right talent. Some of our areas of expertise include:
Tier 1, 2, and 3 help desk resources who can provide, efficient, friendly support.
Build and field deployment teams
IT Support Management (ISTM), including ServiceNow and Cherwell
Mobile device management and provisioning
Network operations and monitoring
Access control and IAM
Corporate print operations
Custom or COTS software support
What our clients have to say:
“Lucid and their team has proven invaluable to us as a partner in our Support Services and Field Technology groups. We can always count on them to rapidly deploy resources for any surges we face, or anytime we need to deploy new technologies. We also view their contract-to-hire model as our preferred form of long-term hiring to ensure that candidates can interact with our end-users with the level of professionalism we demand, while also validating their technical abilities”
- Vice President Business Systems Support and Operations, F500 Client
Cybersecurity Capabilities
In today's global landscape, our lives and our businesses are more digital, more online, more interconnected, and more vulnerable than ever. With bad actors on the rise and constantly finding new ways to infiltrate our best defenses, both businesses and individuals must be wary. A rise in cyber crime coupled with challenges filling important information security positions puts us all at greater risk.
Let’s Talk Numbers
61%: The number of cybersecurity professionals who believe their team is understaffed. And we all know what an understaffed team means:
Important projects slip through the cracks
Your team gets burned out — fast
You’re left vulnerable to cyberattacks
Filling these roles should be a top priority for businesses — but that’s far easier said than done.
3.5 Million: The number of cybersecurity jobs that went unfilled in 2023. The need for qualified, experienced security professionals is much higher than the number of these professionals that are active in the job market. Lucid’s account executives can help you make your positions the most attractive on the market, and our seasoned team of recruiters can find the top talent to fill them.
$10.5 Trillion: The amount that cyber crime is predicted to cost the world by 2025. The cost to your business’s reputation though? Too high to count.
300%: The amount cyber crime has risen since 2020. If it feel like things are more dangerous than ever before, that’s because they are.
Where Lucid Can Help
Businesses of all sizes can benefit from a staffing partner in order to successfully protect themselves with the right people. Lucid has extensive experience in encryption, network security, identity and access management, and security policy. Our recruiters can deliver top talent for even the most challenging positions and know exactly how to vet the right talent. Some of our areas of expertise include:
Identity and Access Management: Multi-factor Authentication (MFA), User and Identity Management, and Authorization are all important tools to keep your employees safe and your data secure. Lucid project delivery teams can help implement and strengthen your IAM to meet and exceed industry standards.
Security Policy: Your security policies should be in place well before you need them. Lucid can help you with change management, disaster recovery plans, incident response teams, and access control so you’re constantly prepared.
Encryption: Protect your data with encryption technology, including Ciphers, Public Key Infrastructure (PKI), Data at Rest, Data In Motion, and Open SSL.
Network Security: Protect your people and your systems with Network Security teams, including Intrusion Prevention Systems, Firewall Governance and Configuration, Network Behavior Anomaly Detection, Cloud Access Security Brokers and Vulnerability Management.
Cybersecurity has never been more challenging, but it’s also never been more important. An experienced staffing partner is the smartest way you can protect your company from threats and ensure future success. Our team can help you staff, grow, and modernize your information security to protect what matters most.
The role of the CDAO in your journey to AI/ML
As businesses implement AI and Machine Learning, the role of the CDAO (Chief Data & Analytics Officer) has grown into an important piece of the puzzl.e
The leadership at Lucid Services Group recently attended SIA’s annual Executive Forum in Las Vegas. These conferences are always incredibly powerful and information on industry trends, emerging technologies, and best practices all flow freely.
A consistent theme across several keynotes and many breakout sessions was AI. Like all the different customer personas that the staffing industry supports, we are all also looking internally at how we can leverage AI and ML for efficiency gains, separation and diversification, and better delivery.
The standout for Lucid, who supports Technology and Digital Transformation leaders, was the role that the CDAO (Chief Data & Analytics Officer) function can, and must, play in the successful adoption of AI/ML.
Lucid currently supports approximately 50 customers across 25 states—we aren’t huge, but we like to think we have a large enough footprint to keep our finger on the pulse of things—and we are absolutely seeing the CDAO function/organization:
Becoming better defined in all sizes of accounts
Gaining funding and headcount steadily
Wielding more power and gaining their “seat at the table”
As you implement the CDAO office on your journey to AI/ML, there are three important points to prioritize:
You will only succeed, and see return on investment, with AI if this function is involved early and often on any technical decisions and investments being made.
Your AI will only be as good as your data allows it to be—invest heavily in Master Data Management leaders and embed data-minded advocates directly into lines of business where the AI use-case is present
Start small, become internal experts, and model and massage your data to scale as your AI becomes more mature
Lucid already has many success stories to tell in our efforts supporting enterprises to grow and staff their Data Organizations. We are excited to play a critical role in the continued evolution in this space. The early work in these groups is typically require higher numbers of resources, but often finds a steady state with lower headcount than the initial efforts: a perfect use-case for flexible staffing/services. Please contact us here if you would like to learn more of our capabilities
SIA is the Staffing Industry Analysts, a world leader in our space. Not only do the offer powerful conferences for leaders of staffing companies, but they also provide powerful sessions for buyers of our services, contingent workforce leaders, and procurement experts. More information can be found here.
Looking for more info? We especially loved this webinar from Gartner and encourage you to take a listen!