Data is necessary to run your business, but it is more complicated than ever. Using our data analytics as a service, you can focus on your business. 

The right data analytics solutions allow you to focus on making an impact with your data, instead of managing your data. Or worse–having an unmanaged data mess on your hands. 

Discover how our analytics managed services and data analytics consulting services can help you make your data useful and valuable.

Managed Analytics Services

This is true data analytics as a service! Managed Analytics is the perfect balance of customization and pre-built data architecture. You get the benefits of all the products and tools already integrated and managed for you. 

You decide which data assets you want us to create and manage for you. We make sure all your self-service data analytics are automated, on time, and accurate.

The result? You finally have an organized inventory of data assets you can trust.

This platform blends an automated infrastructure with modern cloud architecture. As a result, you benefit from fully automated data pipelines in addition to having data quality, security, cost, and performance constantly monitored.

Managed Analytics Services

Data Crew: Your Data & Business Intelligence Team

Have you counted the cost to hire, manage, and pay a data engineering and analytics team?

Instead, leverage your permanently assigned, fractional Data Crew of experts who know your business and know your data. You can scale them up or down depending on your needs over time. 

Your Data Crew covers any data analytics consulting services you need, from complicated technical tasks to analyses to help you get clarity and visibility.

As a data and analytics services company, we work in partnership with you to provide you with a predictable, structured, and iterative approach to navigate the journey of necessary change in your organization. With a formal service desk as well as informal channels for collaboration, we are always available to you.

Data Crew

Customer-Facing Analytics and Embedded Analytics

Datateer’s Embed Portal is a no-code, hosted solution to your customers’ requests for data insights. It provides you with a white-labeled, embedded dashboard that your customers can use whenever they want. You have complete control over the URL, images, texts, and CSS styles.

The Embed Portal wraps around your preferred reporting or dashboarding tool. You maintain complete control by giving access to those who need it and allowing them to see only the data you specify.

Imagine creating a dashboard only one time that all your customers can see. They only see the data they are allowed to see, and they get self-service, on-demand, real-time access. Our data analytics services make embedding possible, without writing a single line of code.

Customer-Facing Analytics & Embedded Analytics

Instant Analytics: Customer & Product Analytics

Having a solid data architecture to build customized Metrics is nice. But what if you could push a button and immediately start using common, standardized Metrics?

Instant Analytics is an analytics as a service offering for specific industries and business models. You can pick and choose from the data assets you need. These data assets include the Metrics already calculated, templated Dashboards ready to use, and pre-built integrations with the necessary Data Sources.

Instant Analytics

Data Warehouse Services

A cloud data warehouse is the foundation of modern data analytics. But the risk and complexity of managing one are real. 

Datateer provides a data analytics service we call Managed Warehouse. It comes with our best practices as a default setup and easy customization for your company’s needs.

This big data analytics solution includes access management, security monitoring, cost monitoring, and keeping everything organized following proven practices that work for businesses like yours.

Data Warehouse Services


"We created 100 different metrics very relevant to our customers. We have seen significant growth in our key accounts."

Paul Harty - Chief Strategy Officer @ Motion Recruitment

"We were data rich but information poor. When you are moving at the speed we are, you can't just throw people at that problem. Datateer gives us a full picture and saves us a ton of time.”

Kelsey Waters - Senior Director of Operations @ Equinix

"Datateer understood our data and consolidated all that information in a way that dramatically improved the speed and quality of client conversations."

Devin Mulhern - Managing Director @ Denver South EDP

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FAQ (Frequently Asked Questions)

What is analytics as a service?

Analytics as a service is a service delivery model that allows companies to get the benefits of a data analytics platform and team, without having to hire a team or build their own data platform.

Companies can leverage the deep skills of data analytics service companies on an as-needed basis. Rather than buy and integrate many different tools, companies can benefit from a best-of-breed suite of tools already integrated.


What is a data and analytics company?

A data and analytics services company specializes in working with data to answer business questions, analyzing data to help make decisions, and providing services to make data useful and valuable.

What is self-service data analytics?

Many companies have to wait for specialists to manually compile reports. These reports are stale and static. Self-service data analytics allow anyone to access live data on demand. A good example is a live dashboard that allows a person to explore the data in real-time.

What is the difference between a data analyst and a data consultant?

These roles can be fluid, depending on who you ask. Both roles provide data and analytics services. A data analyst is usually focused on analyzing data to answer questions or help people make data-driven decisions.

They often use tools like spreadsheets, python, or R to help in their task to get insights from the available data. A data consultant can be a broad term and is someone more focused on the process of how a business can use data to make an impact.

How is AaaS cost-effective?

AaaS is extremely cost-effective for big data analytics services. The first cost avoided is the capital outlay to build and manage a data infrastructure.

Second, the costs of tools and infrastructure can be spread across many customers.

Third, the expertise that comes with data analytics consulting services is expensive to hire and maintain. Fourth, the time required to build a solid data architecture causes many companies to avoid it altogether. The opportunity cost of delaying or avoiding making your data valuable is tremendous.

For a full examination of data analytics costs, see How Much Do Data Analytics Services Cost?

What is data analytics consulting?

Data analytics consulting consists of applying expertise in working with data to answer business questions and provide insights to decision-making. It also includes working with the underlying technology to centralize, cleanse, and leverage data for use in analysis.

What does a data analytics consultant/company do?

A data analytics solutions company provides services to help clients organize and analyze data about their customers and operations.

The services are a combination of using data to answer business-level questions; applying underlying technology to organize data reliably; and providing dashboards, reports, data shares, or other ways of exposing analyses to audiences who need them.

See our article What Does a Data Analytics Consultant Do? for a more in-depth explanation.

What is a simple example of data analytics?

Data analytics refers to the general practice of systematically applying data analysis to inform and help make business decisions. If you download data to a spreadsheet to understand why sales are dropping, you are analyzing data.

If you then take that spreadsheet, share it with your company, and encourage regular decision-making that affects the sales process, you are performing data analytics.

What are the advantages of analytics as a service?

True Analytics as a Service solves two main problems. First, you won’t have to recruit, hire, pay, and manage a team of experts. Second, you don’t have to build a data architecture yourself. Data analytics as a service comes as a platform that will run your data pipelines, notify you of any issues, and handle all the technology and infrastructure.