Harness the power of a fractional data team

From its source to its end-user, data needs careful handling through every step of its journey. But along the way, different skills are required at different stages.

Hiring and retaining an in-house data team with a full-time employee for each skill is a burden that only the largest companies can afford.

That’s why a fractional data team just makes sense. It gives you all the skills and support you need, when you need it—without any of the extra responsibility.

Thinking about going fractional?

Why do you need a data team?

Data powers decisions. It’s also a business function that supports your company’s core competencies. So why don’t you have a data team yet?

You have a finance team. You have an HR team. It may be time you have a data team, too.

When is the time right to build a data team?

As your company grows, so does the quantity and complexity of the data you create. Soon, data becomes everyone’s responsibility.

But this isn’t a sustainable way to scale. It’s only a matter of time until you reach a breaking point.

Build a data team before you get there.

What does a data team do?

A data team gathers, analyzes, and manages data to provide insights that drive decision-making and support strategic business initiatives. This includes:

Ensuring data quality
Building and maintaining data infrastructures
Developing models to support analytical needs
Creating reports to communicate insights

The data team’s goal is to ensure everyone has the information needed to make sound decisions, work efficiently, and ultimately capture opportunities.

What are the key roles in a data team?

Business analysts determine business needs and then ensure the created technical solutions serve those needs.
Data architects select the system components to build technical solutions and describe how they work together
ETL developers write code to extract data from source systems and move it into a target model.
Report developers work with BI tools to create graphical interfaces that support business analysis.
Project managers oversee, organize, and orchestrate activities from all members of the data team.
Data operations managers monitor all processes and activate remediation workflows when necessary.

4 ways to build your data team

From a full-time, in-house team to staff augmentation, there are multiple strategies to building and managing a data team.

Data Team Type	Pros	Cons
In-House	Has an innate understanding of company-specific needs Ensures sensitive data stays within your company Pushes internal teams to build long-term knowledge	Requires higher ongoing costs to hire, train, and retain employees, e.g., salaries, benefits, training Risks employee turnover leading to loss of critical skills Limits ability to scale up and down quickly
Fully Outsourced	Enables access to specialized expertise and tools Eliminates the need to invest in costly infrastructure and technology Simplifies internal management with one point of contact	Inhibits ability to build in-house expertise over time Creates potential for culture clashes between in-house and outsourced teams May provide only limited flexibility, depending on contract terms
Hybrid	Combines external expertise with in-house capabilities Mitigates the risk of becoming overly reliant on one method Allows for the flexibility to bring in extra talent as needed	Complicates management, scheduling, and coordination Creates greater potential for miscommunication and mistakes between in-house and remote teams Risks potential duplication of effort and/or integration challenges between in-house and out-sourced systems
Fractional	Eliminates need to hire, retain, and pay full-time employees Optimizes resource-use by paying only for what you need Gives your company access to industry experts without full-time commitment	Limits integration into company culture and processes Risks scheduling conflicts if fractional team is booked with multiple clients May make your company dependent on external expertise

Why a fractional data team is superior

If you want a custom solution, accelerated delivery, and optimized costs, then a fractional data team is the only solution.

How can a fractional data team deliver results?

The company knew they were losing money.

ACME Healthcare, an independent, physician-owned medical practice, was facing the ultimate problem: They had more patients but were somehow making less money.

But they didn’t have the skills to figure out what was going wrong.

Their finance team tried to identify the problem—but they lacked both the time and the advanced skills necessary to integrate data from multiple sources into coherent, meaningful reports. To do that, ACME would have needed to spend $500,000 per year to create a new department and hire four full-time employees: a business analyst, a data engineer, a report developer, and a project manager.

They decided to hire a fractional data team, instead.

Enter LeapFrogBI’s Managed Analytics Services: a flexible, scalable offering that gives ACME the services of multiple specialized data professionals—no matter how much or how little they need.

LeapFrogBI built ACME an analytical data warehouse to not only understand why their profit margins were shrinking but to also monitor their financial and operational performance moving forward.

What are the results?

Read this data team post to discover how our data team transformed their business and got them back in the black.

At LeapFrogBI, clients trust our data team for fully-managed analytics

“The whole team was spending a lot of time - at least 50% of our time - on manual reporting. With LeapFrogBI, we got back 8,000 hours.”

“Our investment in LeapFrogBI quickly returned a profit by giving MedEx visibility into nearly $1M in annual billing opportunities that were being lost due to incomplete claims data- a problem we're now able to monitor and manage on a daily basis.”

“LeapFrogBI organizes data really well. They roll up their sleeves, normalize the data and then interpret it...no need to babysit them. After LeapFrogBI, we were able to collect 20% more in clinic collections relative the the previous year.”

Every company has data. We help you turn that raw data into business sucess.
LeapFrogBI gives you access to a full-service data team at your fingertips-for a little or as much help as you need, whenever you need it.
Reserve a free, 30-minute consultation to learn how a fractional data team can transform your business.

FAQ

How do you integrate a fractional data team into existing workflows and systems?

Start by defining the opportunities and setting clear goals and expectations. Determine what KPIs you’ll use to measure performance, as well as how (and how often) you’ll communicate. Above all, don’t rush systems onboarding. Take the time to properly integrate your fractional data team with your data systems, tools, documentation, etc., and introduce them with your key internal stakeholders.

How can you ensure data security and confidentiality when working with a fractional team?

Data is the engine that powers your business—so it’s natural to feel a little uneasy about inviting a fractional data team into your data systems. To ensure data security and confidentiality with external collaborators, don’t begin work until you’ve set up access controls and deployed encrypted channels for communication. Ask your fractional data team to sign an NDA. In addition, health care clients will need a HIPAA Business Associate Agreement.

How long does it take a fractional data team to deliver results?

Timelines will vary depending on a number of factors, such as project scope and data quality. For example, if the data you give your fractional data team isn’t clean and well organized, then it’ll take them extra time to prepare the data for analysis. In general, small to midsize goals can be completed by a fractional data team in several weeks, while larger milestones may take a few months. Managing data analytics is an essential ongoing business function.