A data strategy is the foundation for empowering people with information to support the mission and objectives of the organization.


Data needs to be treated like any other important asset – that means defining a strategy for its management and how it will be accessed and used in decision-making.


Whether you’re just starting out or actively managing multiple data silos, our data strategists can help you close the gap between what you know is possible and what you’re actually doing today.

Organizational Objectives


Goals, Metrics & Budget

Where We Can Help

Our Team + Your Stakeholders

Data Strategy & Roadmap

Data Definition

Data Models

Data Governance

Data Standards


Data Literacy

Data Definition

Data strategy starts with a question: what information will your organization need to collect, store, access and analyze to make informed decisions? A data inventory first identifies the data categories, elements, definitions, and metadata needed to support the data strategy. This includes defining a data vocabulary, including the data sources, data owners, data stewards, and data applications that are associated with each data element or category.

Data Standards

Educational data standards such as CEDS, SIF, PESC, IMS Global, and Ed-Fi all address a single issue: how to simplify data exchange in the entire educational ecosystem, between applications, services, people (educators, parents, students), and organizations (vendors, and post-educational institutions such as hiring companies). The answer to which data standards you deploy where and between which applications is a key component of your data architecture development, and systems integration will become easier and less expensive when the right standards are used by all members of the ecosystem.

Data Models

At the highest level, data models convey the core data and information concepts and/or principles of an organization in a simple way, using concise descriptions. Key concepts, such as the definition of “student” and “teacher” are defined as entities with properties in the data model. In addition, it defines the important relationships between entities, which enables managing such things as aggregate reporting and access privileges.

Data Architecture

Data architects outline how data is related and how it will move and transform throughout the organization. Architects balance requirements for accuracy and stability with needs for speed and agility, and they build plans to map data from any source to any target. A good data architecture helps an organization control costs, maintain consistency, and promote analysis and reporting. It should also establish a plan for growth and advances or upgrades in technology, standards and the eco-system of ed tech as a whole.

Step by Step Methodology

From Assessment to Roadmap

Current State

We work with your team to define and visualize the current data activity and supporting technology infrastructure.

Gap Analysis

Identifying gaps means outlining new processes and/or technology requirements that will be prioritized and addressed in the architecture.

Future State

The future state is a blueprint of the desired data architecture, standards usage, and technology platform, agreed upon by stakeholders.


The roadmap begins the implementation phase by publishing an initial schedule, budget, and necessary resources to successfully complete the rollout.

Every organization experiences it! Your best intentions for intelligent use of data have somehow resulted in a profusion of spreadsheets, reports, stand-alone software applications, and duplicate data processes.

It’s time to revisit your data use with a smart data strategy, and we’re here to help with our four-step process. Realizing your data strategy vision is a chance for your organizational management and information technology leaders to combine forces and re-align their goals.