Zantaz Data Resources

    Industry Brief · Higher Education and Research

    Higher Education and Research

    Research universities are federated data enterprises. Smart Stack 3.0 helps institutions see, govern, preserve, and activate the information across Microsoft 365 and connected research environments without slowing discovery.

    Executive Briefing

    Executive Summary

    What You Gain in the First 90 Days

    Central IT does not control every project, department, workspace, or external collaboration. Smart Stack 3.0 gives the institution a shared view of its Microsoft-centered estate, protects research value, and prepares approved Trusted Data for Fabric, OneLake, Copilot, and research AI.

    80%

    of the institutional estate is unstructured content spread across departments central IT does not control

    60%

    of that content is redundant, obsolete, or trivial, and IT stores, secures, backs up, and indexes every copy

    Years

    that alumni and separated-user mailboxes and accounts stay stored, secured, licensed, and backed up after the person stops using them

    The Data Estate

    Where the Information Actually Lives

    Microsoft 365 is the shared collaboration layer across a decentralized institution. Research and administrative information also lives in departmental, sponsored, and legacy systems connected to that estate. Responsibility is shared between central IT and the departments, and how federated an institution actually is depends on its culture and its leadership rather than on its size.

    Microsoft 365 Core

    SharePoint sites for schools, departments, centers, and committees

    OneDrive accounts holding faculty, staff, and student working material

    Teams and Microsoft 365 Groups created for courses, labs, and projects

    Exchange communications subject to retention and public-records obligations

    Purview labels, retention policies, and hold signals

    Power BI assets, datasets, and lineage

    Windows File Shares carrying long-lived departmental and lab content

    Microsoft Fabric, OneLake, Copilot, and supported agent grounding sources

    Connected Research and Administrative Systems

    Research data repositories and high-performance computing storage

    Sponsored programs, grants, and compliance systems

    Student information and learning platforms

    Academic medical center and clinical research environments

    External collaboration spaces shared with partner institutions

    Multiple AI assistants and departmental tools acquired outside central IT

    Legacy archives and retired departmental systems

    The Cost of Doing Nothing

    What Ungoverned Data Costs You

    Decentralization is a strength for research and a challenge for governance. Ownership, classification, and retention rarely follow information as projects end and people move on, and accountability for the data itself is often undefined.

    Export-controlled, human-subject, and other sensitive research data without consistent classification

    Named obligations spanning FERPA student records, HIPAA content in the academic medical center, GLBA financial aid information, PCI payment data, and GDPR for international students and European research partners

    GDPR erasure and access requests that cannot be answered because nobody can locate every copy of the data

    Dormant workspaces and stale external sharing left behind at project closeout

    Undefined data owners, so student data, financial aid data, research data, and advancement data have no accountable steward

    Departmental software and storage acquired without a central inventory, leaving security and privacy blind to where regulated data lives

    Incomplete retention coverage for institutional and grant records

    Duplicate datasets, obsolete drafts, and long-dormant alumni and separated-user accounts consuming storage, license, and backup budget

    Slow response to investigations, public-records requests, and research-security reviews

    The institution should not pay to store, migrate, secure, discover, index, embed, and process information that has no continuing value.

    The Smart Stack 3.0 Response

    One Connected Enterprise Platform

    Trusted Data Refinery

    Trusted Data Refinery analyzes SharePoint, OneDrive, Teams, and Windows File Shares in place. It identifies sensitive research and administrative information, establishes project ownership and policy context, surfaces external collaboration, isolates redundant and obsolete content, and prepares higher-value Trusted Data.

    Trusted Data Archive

    Trusted Data Archive preserves required institutional and research records, enforces retention and legal holds, maintains chain of custody, and reduces dependence on fragmented legacy preservation systems.

    Trusted Data Lens

    Gives central IT, research leadership, and security one read-only view of ownership, permissions, external sharing, dormancy, and policy coverage.

    Trusted Data Collections

    Organizes research, grant, and institutional material with source, permissions, classification, policy, and provenance attached.

    Data Mirroring and Trusted Data Composer

    Prepares approved information for Fabric, OneLake, Power BI, Copilot, and research AI with visible transformation logic.

    The Complete Platform

    Smart Stack 3.0: One Expanding Enterprise Platform

    Smart Stack 3.0 brings executive performance visibility, trusted-data transformation, defensible preservation, controlled information access, and an expanding collection of purpose-built capabilities into one enterprise platform. The result is a connected operating model for improving performance, reducing information risk and cost, and preparing approved organizational data for Microsoft analytics and AI.

    Executive Performance Dashboard

    The Executive Performance Dashboard gives leadership a unified view of organizational performance, priorities, commitments, risks, and results. It replaces disconnected reporting with a measurable executive operating environment that helps leaders see what is happening, what should be happening, and where intervention is required.

    Trusted Data Suite

    The Trusted Data Suite transforms uncontrolled enterprise information into governed, higher-value, AI-ready Trusted Data. The Trusted Data Refinery discovers, analyzes, classifies, enriches, and improves rapidly growing unstructured data estates. The Trusted Data Archive securely preserves required information with retention enforcement, legal hold, chain of custody, journaling, defensible discovery, and long-term preservation. The Trusted Data Portal provides controlled access to policy-approved information for authorized people, Microsoft platforms, analytics environments, and AI systems.

    Trusted Toolkit

    The Trusted Toolkit is an expanding collection of purpose-built technologies for specific data, compliance, AI, and operational challenges. New capabilities increase the value of Smart Stack 3.0 without forcing the organization to procure a separate product, license, or user entitlement every time the platform expands.

    $1 Million Annual Unlimited Enterprise License

    One predictable annual license provides unlimited authorized organizational use and users across an expanding platform. The organization is not purchasing a static point solution or assembling a collection of separately priced tools. It is establishing an enterprise capability whose value increases as adoption expands, more information is governed, legacy cost is removed, risk is reduced, and new Smart Stack capabilities are introduced.

    Unlimited authorized users and organizational use

    Predictable enterprise-wide annual cost

    Expanding capabilities without separate product-by-product purchasing

    Increasing value through adoption, risk reduction, cost avoidance, and continuous innovation

    Smart Stack 3.0 helps the organization understand, refine, preserve, and control the information moving through its Microsoft environment. Microsoft provides the enterprise platforms. Zantaz improves the quality, governance, defensibility, and readiness of the data those platforms depend on.

    Outcomes

    What Your Teams Get

    Establish Real Data Ownership

    Document who is accountable for student, financial aid, research, and departmental data.

    Close Out Research Projects Cleanly

    Know what a completed project holds, who owns it, and what must be retained.

    Find Sensitive Research Data

    Identify export-controlled, human-subject, FERPA, HIPAA, GLBA, and PCI material across the estate.

    Review External Collaboration

    Surface stale external sharing and guest access across sites, teams, and libraries.

    Reclaim Dormant Workspaces

    Identify inactive sites, teams, and file shares that carry cost and risk without use.

    Retire Inactive Accounts and Mailboxes

    Separate active alumni and staff accounts from long-dormant ones the institution still pays for.

    Answer Privacy Requests With Confidence

    Locate every copy of a person's data so GDPR and FERPA requests can be satisfied.

    Preserve Grant and Institutional Records

    Apply retention and holds where obligations exist rather than everywhere.

    Protect Research Intellectual Property

    Establish where authoritative research material lives and who is accountable for it.

    Reduce Storage and Backup Spend

    Remove redundant, obsolete, and trivial content before migration or archiving.

    Prepare Trusted Data for Any Approved AI

    Ground Copilot, research AI, and other approved assistants in institutional knowledge with visible provenance.

    AI Readiness

    Copilot Honors Permissions, Not Accuracy

    Microsoft Copilot and agents honor existing permissions. In a federated institution those permissions have accumulated for years. Most institutions also run more than one assistant, because if a tool exists somewhere on campus a department has already adopted it. Smart Stack 3.0 establishes whether the information inside those permissions is current, authoritative, and appropriate for any model the institution approves.

    Identify overshared and sensitive research or student content before Copilot expands

    Reduce duplicate and obsolete material before AI indexing and embedding

    Establish project, departmental, and institutional data ownership

    Create approved Trusted Data Collections for institutional and research knowledge

    Preserve provenance for every approved collection

    Prepare governed information for Fabric and OneLake rather than raw departmental content

    Keep prepared Trusted Data portable across Microsoft AI and any other approved model or assistant

    The Readiness Ladder

    Six Stages From Visibility to AI

    1. 1

      Visibility

      One view of a federated Microsoft estate

    2. 2

      Classification and Context

      Sensitive research and administrative data identified

    3. 3

      Exposure and ROT Reduction

      External sharing narrowed, dormant content removed

    4. 4

      Retention and Preservation

      Institutional and grant records preserved

    5. 5

      Governed Trusted Data

      Collections built for research, legal, and operations

    6. 6

      AI Readiness

      Approved data prepared for Fabric, OneLake, Copilot, and any approved model

    Timing

    Signals That Now Is the Moment

    You are expanding Microsoft 365 Copilot or piloting research AI, often more than one assistant at once

    You are moving institutional data into Fabric or OneLake

    Research security or sponsor requirements are increasing

    SharePoint, OneDrive, Teams, and file shares have grown without consistent ownership

    You are reviewing external sharing, inactive sites, or retention coverage

    You are reviewing the cost of alumni and separated-user accounts

    You are consolidating departmental storage or retiring legacy systems

    Central IT, research, legal, and security work from different views of the same information

    The Research

    The Full Analysis Behind This Brief

    Trusted Data for Higher Education and Research examines the federated university data estate, the structural gaps across a decentralized Microsoft environment, and the sequence that prepares institutional information for security, records obligation, cost control, and Copilot grounding.

    Read the Research Paper

    Three Questions for Your Leadership Team

    1. 1

      Do we know which information across Microsoft 365, Windows File Shares, archives, and connected research systems is sensitive, authoritative, obsolete, or subject to policy?

    2. 2

      Who is the accountable data owner for student records, financial aid data, research data, and departmental content, and does that person know it?

    3. 3

      Are we preparing approved data for Fabric, OneLake, Copilot, and every other AI tool already in use on campus, or letting AI inherit years of accumulated permission and quality problems?

    What your technical team will ask. Where does the scan run, what does it touch, what does it move, and how does it respect existing permissions, labels, retention, and legal holds. Trusted Data Lens is read-only, runs in place, moves nothing, and reports against the permission and policy state Microsoft already maintains.

    Close

    Understand, Reduce, Preserve, Prepare

    Smart Stack 3.0 helps your institution understand what it has, reduce what it no longer needs, preserve what it must protect, and prepare approved Trusted Data for Microsoft analytics and research AI.

    See the Higher Education Category PageModel the Cost You Can Remove

    Sources